Patent Publication Number: US-2022226321-A1

Title: Inhibitor of mnk for the treatment of neuropathic pain

Description:
PRIORITY CLAIM 
     This application claims benefit of priority to U.S. Provisional Application Ser. No. 62/851,897, filed May 23, 2019, the entire contents of which are hereby incorporated by reference. 
    
    
     FEDERAL FUNDING STATEMENT 
     This invention was made with government support under R01 NS065926 awarded by the National Institutes of Health. The government has certain rights in the invention. 
    
    
     BACKGROUND 
     1. Field 
     This disclosure relates to the fields of medicine and cell biology. More specifically, it relates to the use of the MNK inhibitor eFT508 to treat pain, either as a stand-alone therapeutic option, or in combination with other pain therapies. 
     2. Related Art 
     A devastating health problem in the United States is the inadequate treatment of pain. One third of all Americans suffer from some form of chronic pain, and a third of these have pain, which is resistant to current medical therapy. The economic impact of pain is equally large at approximately $100 billion annually. Opioid/narcotic analgesics, typified by morphine, are the most effective treatments for acute and chronic severe pain. However, their clinical utility is often hampered by the development of analgesic tolerance which requires escalating doses to achieve equivalent pain relief. This complex pathophysiological cycle represents a critical barrier to the quality of life of these patients due to the resulting drug-induced sedation, reduced physical activity, constipation, respiratory depression, high potential for addiction, and other side-effects. Accordingly, there is major interest in new approaches to treat chronic pain without engendering tolerance or unacceptable side-effects. 
     There are many different causes of neuropathic pain, including trauma to peripheral nerves, metabolic disease, and toxicities produced by drug treatment, all of which are growing indications. For example, as advances in cancer treatment efficacy have transformed treatment of this diverse disease, incidence and duration of chemotherapy-induced peripheral neuropathy (CIPN) have increased. CIPN is the primary dose-limiting side effect of cancer treatment, and no drugs are approved to treat this form of neuropathic pain. Peripheral nerve injury (PNI) is another form of neuropathic pain, often accompanied by severe disruptions in executive functions that depend on an intact medial prefrontal cortex (mPFC). As with CIPN, existing therapeutics are often ineffective in treating such pain and, moreover, even effective pain relief with existing analgesics usually does not improve or may even worsen pain-related cognitive dysfunction. 
     SUMMARY 
     Thus, in accordance with the present disclosure, there is provided a method of treating, inhibiting, preventing or reversing neuropathic pain in a subject comprising administering to said subject an amount of eFT508 sufficient to treat, inhibit, prevent or reverse said neuropathic pain. Also provided is a method of treating, inhibiting, preventing or reversing a cognitive deficit comorbid with neuropathic pain in a subject comprising administering to said subject an amount of eFT508 sufficient to treat, inhibit, prevent or reverse said cognitive deficit. The subject may be a human or a non-human mammal. The neuropathic pain may be chronic neuropathic pain or acute neuropathic pain. 
     eFT508 may be administered with a second anti-pain agent, such as where eFT508 and said second anti-pain agent are co-formulated, or where eFT508 and said second anti-pain agent are not co-formulated. eFT508 and said second anti-pain agent may be delivered at distinct times. eFT508 may be delivered before said second anti-pain agent, may be delivered after said second anti-pain agent, and/or eFT508 and said second anti-pain agent may be delivered in alternating administrations. The second anti-pain agent may be an opioid or a gabapentanoid. 
     eFT508 may be delivered over a period of one week, two weeks, three weeks, four weeks, one month, two months, three months, four months, five months, six months, seven months, eight months, nine months, ten months, eleven months, one year, two years or three years. eFT508 may be delivered by continuous infusion, such as by an implanted pump. The neuropathic pain may be the result of an injury, such as a peripheral nerve injury, or such as a penetration wound, a burn, frostbite or a fracture. The neuropathic pain may be the result of a disease, such as diabetes, cancer, spinal nerve disease, multiple sclerosis, arthritis, an autoimmune disease, or an infection, such as viral infection, fungal infection or bacterial infection. The neuropathic pain may be the result of chemotherapy or the result of surgery. 
     It is contemplated that any method or composition described herein can be implemented with respect to any other method or composition described herein. The use of the word “a” or “an” when used in conjunction with the term “comprising” in the claims and/or the specification may mean “one,” but it is also consistent with the meaning of “one or more,” “at least one,” and “one or more than one.” The word “about” means plus or minus 5% of the stated number. 
     Other objects, features and advantages of the present disclosure will become apparent from the following detailed description. It should be understood, however, that the detailed description and the specific examples, while indicating specific embodiments of the disclosure, are given by way of illustration only, since various changes and modifications within the spirit and scope of the disclosure will become apparent to those skilled in the art from this detailed description. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
       The following drawings form part of the present specification and are included to further demonstrate certain aspects of the present disclosure. The disclosure may be better understood by reference to one or more of these drawings in combination with the detailed description. 
         FIGS. 1A-C  present results related to expression of fused EGFP-L10a protein in Nav1.8-positive nociceptors. ( FIG. 1A ) Schematic representation of TRAP showing isolation of translating ribosomes (IP) from Input using anti-eGFP-coated beads. ( FIG. 1B ) Figure shows a representative set of microscope images of L4-DRG sections from Nav1.8 cre /TRAP floxed  mice with immunostaining for CGRP, IB4, NF200, and TRPV1. Scale bars, 100 μm. ( FIG. 1C ) A total of 9528, 8258 and 8526 neurons were counted for CGRP, NF200 and Prph staining, n=3 mice/group, and overlap is shown ( FIG. 1C ). 
         FIGS. 2A-C  present results related to the effects of paclitaxel treatment on excitability in cervical, thoracic and lumbar mouse DRG neurons. ( FIG. 2A ) DRG neurons from mice treated with paclitaxel show hyper-amplitude of cell membrane oscillation. Left column shows representative recordings of the spontaneous activity (SA) observed in vehicle-treated mice DRG neurons from cervical (top trace), thoracic (middle trace) and lumbar (bottom trace) level. Right column shows representative recordings of the SA observed in DRG neurons from paclitaxel-treated mice at different vertebral levels. Neurophysiological activity was recorded from 247 small diameter (&lt;22 μm) neurons at day 10 after paclitaxel treatment including 129 cells from vehicle-treated control mice (49, 43 and 37 cells for cervical, thoracic and lumbar respectively) and 118 cells from paclitaxel-treated mice (41, 37 and 40 cells for cervical, thoracic and lumbar respectively). ( FIGS. 2B-C ) Representative action potential responses evoked at 1×, 5×, 8× rheobase in DRG neurons from vehicle and paclitaxel-treated mice. DRG neurons from paclitaxel-treated animals showed that the mean number of action potentials evoked at 3× to 8× rheobase was significantly higher. *p&lt;0.05, **p&lt;0.01, and ***p&lt;0.001. 
         FIGS. 3A-D  present data on principal component analysis (PCA) that reveals specific transcriptomic and translatomic signatures of CIPN. ( FIG. 3A ) Linear correlation plot shows high correlation coefficient between biological replicates for the TRAP and Input fractions. ( FIG. 3B ) Absolute variances calculated for the first 5 th  principal components. ( FIG. 3C ) Principal component analysis shows that the first principal component (PC1) differentiates between Input (Transcriptome) and TRAP (Translatome). ( FIG. 3D ) Heatmap showing the PCA distances between each biological replicate. Related to  FIGS. 1A-C . 
         FIGS. 4A-F  present data that TRAP-seq identifies differentially translated mRNAs in Nav1.8-positive nociceptors. ( FIG. 4A ) DRG-TRAP-seq is enriched in neuronal markers such as Calca (CGRP) or Camk2a while glial (Aldh1l1, Gfap), endothelial (Cldn5, Fit1) and microglial (Cxcr3, Aif1) markers are depleted. ( FIG. 4B ) The probability density function of the upper decile (ud)TPM distribution for the Input and TRAP fraction where the inflexion point was used to set the expression threshold for further analysis. ( FIG. 4C ) The threshold effect size is set using the cumulative distribution of the log 2 fold change for the Input and TRAP fractions showing a significant shift towards high fold change in the TRAP fraction (Kolmogorov-Smirnov, ****p&lt;0.0001). Related to  FIGS. 1A-C . ( FIG. 4D ) Volcano plot reveals 4 genes up-regulated and Idown-regulated in the transcriptome while more widespread changes are observed in the translatome (TRAP). ( FIG. 4E ) Heatmap shows the fold change of differentially expressed genes in each biological replicate of vehicle- and paclitaxel-treated animals (TRAP and Input fractions). ( FIG. 4F ) EnrichR analysis of the up-regulated genes in paclitaxel TRAP-seq samples 
         FIGS. 5A-B  present data that translation efficiencies on Scn10a-enriched genes show reliable changes in expression level for GPCR and ion channels. ( FIG. 5A ) The list of genes in the TRAP-seq dataset is first filtered based on expression level (see  FIGS. 4A-F ) and the remaining 8270 genes were used for further analysis. Separately, the inventors used available RNA sequencing dataset from magnetic sorted cell to generate a list of 881 genes expressed in Scn10a-positive neurons as well as an interactome dataset built in the laboratory that contains a total of 5347 genes. A final list of 221 of Scn10a-enriched genes was used to calculate the respective translation efficiencies (TE) in vehicle- or paclitaxel conditions. The Interactome analysis shows higher translation efficiencies for genes encoding ion channels and GPCR. ( FIG. 5B ) Gene-by-gene analysis reveals that multiple channels have high TE after CIPN such as P2rx2 (Multiple T-tests with correction for multiple comparisons: *p=0.039 and q&lt;0.1) or TRPV1 (Multiple T-tests with correction for multiple comparisons: *p=0.0059 and q&lt;0.1) while Mrgrpd is the only GPCR showing a significant increases in TE after CIPN (Multiple T-tests with correction for multiple comparisons: *p=0.0049 and q&lt;0.1) 
         FIG. 6  present data that TOP- and G-quartet like elements are enriched in the up-regulated genes identified with TRAP-seq. The motif analysis was performed on the list of up-regulated genes identified with TRAP-seq after CIPN. The inventors show that 3 motifs are significantly enriched in the 5′UTR among them a TOP-like element which consists in a “C” or “T” followed by a stretch of 5 to 15 pyrimidines. Also, the analysis clearly reveals an enrichment in G-quartet like motif as well as in an AG-rich motif. 
         FIGS. 7A-E  present data that enhanced eIF4E signaling in nociceptors is responsible for evoked and spontaneous pain in paclitaxel-induced neuropathic pain. ( FIG. 7A ) Volcano plot showing an increase in mTOR mRNA translation in the DRGs after CIPN. ( FIG. 7B ) Immunoblotting shows an up-regulation of p-eIF4E, p-4EBP1, and mTOR after paclitaxel treatment (p-eiF4E: Veh=100±5.39, Pac=158±10.57, **p=0.0026, n=4-5; p-4EBP1: Veh=100±9.8, Pac=152±11.27, *p=0.012, n=4-5; p-mTOR: Veh=100±10.8, Pac=131±20.27, p=0.23, n=4-5; mTOR: Veh=100±24.54, Pac=195±25.27, *p=0.025, n=4-5). ( FIG. 7C ) Intrathecal injection of the mTOR kinase inhibitor AZD8055 relieves mechanical allodynia compared to vehicle-treated animals after the first injection (two-way ANOVA: F (7,88) =3.93; post-hoc Bonferroni: at 1 hr: ****p&lt;0.0001, 3 hrs: *p=0.043, 5 hrs: **p=0.0059) but no significant effects were observed after the second injection. ( FIG. 7D ) eIF4E S209A  mice show a deficit in development of paclitaxel-induced mechanical allodynia compared to WT animals. Two-way ANOVA: F (4,44) =3.14, p=0.023 with a post-hoc test: at day 7: *p=0.045; at day 9: ***p=0.0003; at day 11: **p=0.0081 eIF4E S209A  vs WT, n=7. ( FIG. 7E ) eIF4E S209A  mice also exhibit a deficit in paclitaxel-induced thermal hyperalgesia compared to WT animals at 49° C. (one-way ANOVA: F=8.39, p=0.005; post-hoc Bonferroni; Veh WT vs Pac WT:** p=0.005, Veh WT vs Pac eIF4E S209A : *p=0.071, Veh WT vs Veh eIF4E S209A : *p=0.054), at 50° C. (one-way ANOVA: F=6.23, p=0.0032; post-hoc Bonferroni; Veh WT vs Pac WT: **p=0.0044, Veh WT vs Pac eIF4E S209A : p&gt;0.99, Veh WT vs Veh eIF4E S209A : p&gt;0.99, Pac WT vs Pac eIF4E S209A : *p=0.024) and 52° C. (one-way ANOVA: F=7.78, p=0.0010; post-hoc Bonferroni; Veh WT vs Pac WT: **p=0.0021, Veh WT vs Pac eIF4E S209A : p&gt;0.99, Veh WT vs Veh eIF4E S209A : p&gt;0.99, Pac WT vs Pac eIF4E S209A : *p=0.045). ( FIG. 7F ) WT paclitaxel-treated mice show signs of ongoing pain in the CPP paradigm compared with WT vehicle (One-way ANOVA; F=4.36, p=0.012, post-hoc Bonferroni Weh WT vs Pac WT: p=0.048) and eIF4E S209A  mice treated with paclitaxel, which did not show signs of spontaneous pain (One-way ANOVE: F=4.36, *p=0.012, post-hoc Bonferroni Pac WT vs Pac eIF4E S209A : *p=0.019). 
         FIGS. 8A-F  present data that the specific MNK inhibitor, eFT508, reverses CIPN. ( FIG. 8A ) eFT508 significantly reduced the level of eIF4E phosphorylation at 0.1 and 1 μM after 1 hr (One-way ANOVA: F=205.2, p&lt;0.0001; post-hoc Tukey: ****p&lt;0.0001), without affecting other signaling pathways in cultured mouse DRG neurons. ( FIG. 8B ) Acute treatment with eFT08 relieves mechanical allodynia compared to vehicle after the 1st (Two-way ANOVA: F (7,63) =14.53, post-hoc Bonferroni at 1 and 3 hrs (eFT508 vs vehicle: ****p&lt;0.0001) and the 2nd injection (Two-way ANOVA: F (7,63) =14.53, post-hoc Bonferroni at 1 hr (eFT508 vs vehicle: ** p&lt;0.01) and 3 hrs (eFT508 vs vehicle: ****p&lt;0.0001). Also, eFT508 transiently relieves mechanical allodynia on day 1 (Two-way ANOVA: F (7,63) =14.53, post-hoc Bonferroni eFT508-BL vs eFT508-1 hr: ***p&lt;0.001 and eFT508-BL vs eFT508-3 hrs: **p=0.0012) and day 2 (Two-way ANOVA: F (7,63) =14.53, post-hoc Bonferroni eFT508-BL vs eFT508-1 hr: *p=0.036 and eFT508-BL vs eFT508-3 hrs: **p=0.0021). ( FIG. 8C ) Acute treatment with eFT508 did not significantly attenuate thermal hyperalgesia at 3 hrs (Two-way ANOVA: F (1,38) =8.46, post-hoc Sidak: p=0.14) but a significant effect was observed at 24 hrs (Two-way ANOVA: F (1,38) =8.46, post-hoc Sidak: *p&lt;0.05). ( FIG. 8D ) eIF4E S209A  mice showed a deficit in the development of CIPN compared to WT mice (Two-way ANOVA: F (2,117) =15,82, p&lt;0.0001 with post-hoc test at day 3: WT vs eIF4E S209A : *p=0.019, WT vs eIF4E S209A (eFT508): **p=0.0065; at day 5 WT vs eIF4E S209A : **p=0.0018, WT vs eIF4E S209A (eFT508): **p=0.003; at day 10 WT vs eIF4E S209A : **p=0.0020, WT vs eIF4E S209A (eFT508): *p=0.021; at day 11 WT vs eIF4E S209A : *p=0.0182, WTvs eIF4E S209A (eFT508): *p0.028; at day 12WTvs eIF4E S209A . *p=0.022, WTvs eIF4E S209A  (eFT508): *p=0.044. Chronic treatment with 1 mg/kg eFT508 reverses established CIPN without inducing tolerance in WT mice (Two-way ANOVA: F(2,117) 15,82: p&lt;0.0001 with post-hoc test day 10: (BL vs 2 h, **p=0.0023), day 11: (BL vs 2 h, *p=0.045) and day 12: (BL vs 2 h, *p=0.0497) but was completely without effect in eIF4ES209A mice. ( FIG. 8E-F ) p-eIF4E is highly expressed in Nav1.8-positive DRG neurons and approximatively 80% of the eGFPe signal co-localizes with p-eIF4E. Scale bars, 100 μm. 
         FIGS. 9A-G  present data increased translation of RagA-Ragulator-mTORC1 complex mRNAs in CIPN. ( FIG. 9A ) Volcano plot shows an increase in translation efficiency for mRNAs encoding proteins associated with the Rag-Ragulator-mTORC1 complex. ( FIG. 9B ) Distribution of the normalized reads on the RagA gene (Rraga) showing a prominent peak in the TRAP fraction after CIPN compared to Veh while no changes are observed in the Input fraction. ( FIG. 9C ) Normalized TPM for the Rraga mRNA shows no differences in the input (RagA: Veh=1.65±0.71, Pac: 2.04±0.17 p=0.62) while a significant increase is observes in the TRAP fraction (RagA: Veh=1.004±0.26, Pac: 3.6±0.51 p=0.0043). ( FIG. 9D ) Heatmap showing increased or decreased translation of the mRNAs encoding proteins of the Ragulator-RagA-mTORC1 complex after CIPN. ( FIG. 9E ) Immunoblot showing an increase in RagA protein levels in DRGs after CIPN compared to Veh (RagA: Veh=100±10.33, Pac=181±15.35, **p=0.0043, n=4-5). ( FIG. 9F ) Immunoblot showing a decrease in RagA protein levels in the eIF4E S209A  mice compared to WT (RagA: Veh=100±5.05, Pac=84.6±4.32, *p=0.035, n=9) while no differences were observed in mRNA levels (RagA: Veh=1.007±0.067, Pac=1.176±0.01, p=0.084, n=4) ( FIG. 9G ) Immunoblot showing no differences in the DRG level of RagA protein between eIF4E S209A  vehicle- and paclitaxel-treated mice (RagA Veh=100±8.567, Pac=75±8.46, *p=0.095, n=4). 
         FIGS. 10A-G  present data that the MNK1-eIF4E axis controls the translation of the RagA GTPase in CIPN. ( FIG. 10A ) Immunoblot showing a decrease in RagA protein level after treatment with eFT508 at 1 μM for 1 hr (one-way ANOVA: F=4.55, p=0.040, post-hoc Sidak Veh WT vs: 1 μM *p=0.042). ( FIG. 10B ) Immunoblot showing a significant decrease in the level of p-eIF4E and RagA after eFT508 treatment in DRGs in vivo (p-eIF4E: Veh=100±2.33, eFT508: 10±2.43, ****p&lt;0.0001, n=4; p4EBP1: Veh=100±16.03, eFT508=53.12±7.03, *p&lt;0.05; RagA: Veh=100±11.03, eFT508: 67±6.02, *p&lt;0.042, n=4 ( FIG. 10C ) Immunoblot showing a significant decrease in the level of p-eIF4E (Veh=100±8.63, MNK1 −/− : 64.98±3.63, **p&lt;0.0094, n=4) and RagA (Veh=100±2.54, MNK-1 −/− : 67±5.70, *p&lt;0.0010, n=4) in MNK1 −/−  mice compared to WT. ( FIG. 10D ) Co-expression level of RagA and p-eIF4E in vehicle-, paclitaxel- and eFT508-treated mice shows high correlation between DRG samples. ( FIG. 10E ) MNK1 −/−  show a deficit in development of paclitaxel-induced mechanical allodynia compared to WT animals (two-way ANOVA: F (5,45) =13.45, p&lt;0.0001 with a post-hoc test: at day 3, 5, 7, 9 ****p&lt;0.0001 MNK1 −/−  vs WT, n=7). ( FIG. 10F ) eFT508 treatment decreases spontaneous activity found in DRG neurons after paclitaxel treatment in a reversible fashion. ( FIG. 10G ) Summary diagram showing proposed MNK1-eIF4E regulation of RagA translation and its influence on mTORC1 activity. 
       Extended  FIGS. 1-1A -D present data showing immunoaffinity purification of the transgene EGFP-L10a capture various translating mRNA in DRG neurons. (Extended  FIG. 1-1A ) Co-immunoprecipitation of the fused protein EGFP-L10a in Nav1.8-TRAP and Rosa26 fsTRAP  mice. (Extended  FIGS. 1-1B -C) DRGs were isolated from 4 different animals (2 males and 2 females) and the tissue was homogenized as described in the Methods section. RNA was then extracted from the Input and TRAP fractions and transformed in cDNA as described in Methods section and qRT-PCR were run using different set of gene-specific primers such as TRPV1, BDNF, Actin and aPKC using primers pairs: TRPV1 forward 5′-CCCGGAAGACAGATAGCCTGA-3′ (SEQ ID NO: 1) &amp; TRPV1 reverse 5′-TTCAATGGCAATGTGTAATGCTG (SEQ ID NO: 2); Actin forward 5′-GGCTGTATTCCCCTCCATCG (SEQ ID NO: 3) &amp; Actin reverse 5′-CCAGTTGGTAACAATGCCATGT-3′ (SEQ ID NO: 4); BDNF forward 5′-TCATACTTCGGTTGCATGAAGG-3′ (SEQ ID NO: 5) &amp; BDNF reverse 5′-AGACCTCTCGAACCTGCCC-3′ (SEQ ID NO: 6); Prkcz forward 5′-GCGTGGATGCCATGACAAC-3′ (SEQ ID NO: 7) &amp; Prkcz reverse 5′-AATGATGAGCACTTCGTCCCT-3′ (SEQ ID NO: 8). Agarose gels show an absence of DNA contamination in the Input and TRAP fractions (noRT) as well as an absence of PCR product in the Rosa26 fsTRAP  animals. The 100 kb represents the presence of the amplicon ≈100 bp in the Input and TRAP fraction for different genes tested. (Extended  FIG. 1-1D ) Fragment analyzer trace shows the RNA quality for the Input and IP fractions. 
       Extended  FIGS. 7-1A -C present data that increased translational efficiency in TRAPseq reliably predicts increase in protein level in the DRG. (Extended  FIG. 7-1A ) Volcano plot showing an increase in Esyt1 mRNA translation in the DRGs after CIPN. (Extended  FIG. 7-1B ) Distribution of the normalized reads on the Esyt1 gene showing a prominent peak in TRAP fraction after CIPN compared to Veh. (Extended  FIG. 7-1C ) Immunoblot showing expression of Esyt1 protein in the DRG after CIPN induction (Esyt1: Veh=100±29.96, Pac=230±18.30, **p=0.0060, n=4-5). n=number of animals per group. 
       Extended  FIGS. 7-2A -B present data that CIPN is not associated with an increase of Akt or Ribosomal protein S6 phosphorylation. (Extended  FIG. 7-2A ) Immunoblots showing expression of S6, Akt and ERK with and without phosphorylation on day 10 after induction of CIPN (Extended  FIG. 7-2B ) Quantification of the immunoblots in opposing panel (p-S6: Veh=100±20.22, Pac=134±24.47, p=0.34, n=6; S6: Veh=100±14.15, Pac=133±24.54, p=0.22, n=6; p-Akt: Veh=100±6.08, Pac=96.86±6.63, p=0.73, n=6; p-ERK1/2: Veh=100±13.33, Pac=107±14.94, p=0.72, n=6). 
       Extended  FIGS. 8-1A -B presents data showing that CIPN is not associated with an increase in overall protein synthesis in the DRG. (Extended  FIGS. 8-1A -B) General translation is not altered after CIPN as assessed by puromycin incorporation in the DRG and is also not influenced by a single dose of eFT508 (10 mg/kg). Finally, there was also no change in general translation in eIF4E S209A  mice compared to any of the other groups (one-way ANOVA: F(3,20)=0.46, p=0.71, n=6)). 
       Extended  FIG. 8-2  shows the absence of p-eIF4E staining in the eIF4E S209A  mice. Immunostaining of GFP, p-eIF4E and eIF4E showing an absence of p-eIF4E staining in the eIF4E S209A  mice. 
       Extended  FIG. 10-1  shows that MNK1 −/−  mice do not show a decrease in ERK and 4EBP1 expression. Immunoblots showing the expression of 4EBP1 and ERK between WT and MNK1 −/−  ice (4EBP1: WT=100±12.22, MNK1 −/− =126±8.79, p=0.13, n=4; ERK: WT=100±9.71, MNK1 −/− =93±4.4, p=0.53, n=4). 
         FIGS. 11A-D  show that genetic inhibition of eIF4E phosphorylation rescues pain-related cognitive impairment in an attentional rule-shifting task. ( FIG. 11A ) Illustration of the rule-shifting protocol. Mice were habituated to the maze over 3 days. On day 4, mice were assessed for preference to turn right or left over 7 trials (Turn bias). The following day, mice were trained to turn against their turn bias in order to retrieve food reward and to ignore the pseudorandomly placed visual cue (Response). Approximately three weeks after SNI, the animals were assessed for retention of the task (Retest). The next day, mice were trained to shift strategies so that they now had to turn towards the arm containing the visual cue to obtain food reward (Rule-shifting). ( FIG. 11B ) Male 4EKI SNI mice showed no impairment on retest day, indicating that disruption of eiF4E phosphorylation has no effect on retention of response training. Male 4EKI SNI mice displayed no impairment on rule-shifting day. ( FIG. 11C ) Male 4EKI SNI mice made significantly less never-reinforced errors (NRE) and regressive errors (REG), but not perseverative errors (PER), compared to WT SNI animals. ( FIG. 11D ) Male and female 4EKI mice displayed no differences on rule-shifting day. Two-way ANOVA with Bonferroni multiple comparisons ****p&lt;0.0001, ***p&lt;0.001, **p&lt;0.01, *p&lt;0.05. 
         FIGS. 12A-B  show that disruption of eIF4E phosphorylation in 4EKI mice prevents PNI-induced spontaneous pain. ( FIG. 12A ) WT and 4EKI SNI and sham mice underwent a CPP paradigm in which clonidine (10 μg i.t.) was paired with the white chamber over 3 conditioning days. WT SNI mice spent significantly more time in the analgesic-paired chamber compared to WT sham mice. However, 4EKI SNI animals and 4EKI sham mice showed no difference in time in spent in the analgesic-paired chamber. These data suggest that 4EKI mice have reduced spontaneous pain. ( FIG. 12B ) Clonidine (10 μg i.t.) reversed mechanical withdrawal thresholds when assessed 2 hours after injection on each CPP conditioning day. One or two-way ANOVA with Bonferroni multiple comparisons ****p&lt;0.0001, *p&lt;0.05. 
         FIGS. 13A-F  show that pharmacological and genetic inhibition of MNK reverses PNI-induced impairment in attentional rule-shifting. ( FIG. 13A ) WT SNI mice were treated with the MNK1/2 inhibitor, tomivosertib (10 mg/kg, p.o.), or vehicle once daily for 7 days. Rule-shifting took place 1 hour after the final injection. Tomivosertib-treated mice showed no impairment on rule-shifting day. ( FIG. 13B ) WT SNI vehicle-treated animals made significantly more never-reinforced errors (NRE) and regressive errors (REG), but not perseverative errors (PER) compared to all other groups. ( FIG. 13C ) Tomivosertib-treatment had no effect on mechanical withdrawal thresholds when assessed 1 or 3 hours after treatment on days 1 and 5 of the 7-day treatment schedule. ( FIG. 13D ) MNK1 KOs displayed a significant impairment in retention of response training on retest day, suggesting that disruption of MNK1 signaling causes issues with long-term memory. However, the MNK1 KO SNI mice showed no impairment on rule-shifting day. ( FIG. 13E ) MNK1 KO SNI animals also made significantly fewer NRE and REG when compared to WT SNI mice. ( FIG. 13F ) MNK1 KO SNI animals showed a slight attenuation in tactile allodynia on day 4 post surgery compared to WT SNI animals but showed no differences to WT SNI animals on days 7, 11, 14, and 17 post SNI. Two-way ANOVA with Bonferroni multiple comparisons ****p&lt;0.0001, ***p&lt;0.001, **p&lt;0.01, *p&lt;0.05. 
         FIGS. 14A-D  show that pharmacological inhibition of MNK1/2 with tomivosertib reverses PNI-induced spontaneous pain. ( FIG. 14A ) Western blot analysis of eIF4e phosphorylation was conducted on mPFC, DRG, and sciatic nerve collected from animals 1 hour after administration of tomivosertib (10 mg/kg; i.p or p.o.) or vehicle. Phosphorylation of eIF4E was significantly decreased in mPFC, DRG and sciatic nerve after tomivosertib treatment. ( FIG. 14B ) WT SNI animals were tested in a CPP paradigm using tomivosertib (10 mg/kg i.p.) as the conditioning-drug. SNI animals treated with tomivosertib spent ˜40% more time in the white chamber compared to SNI animals that received only vehicle. This 40% increase in time was significantly different from the change in time between tomivosertib and vehicle conditioned sham mice, suggesting that tomivosertib diminishes spontaneous pain caused by PNI. ( FIG. 14C ) Microelectrode array recordings of cultured mouse DRG neurons exposed to interleukin-6 (IL-6) showed enhanced spontaneous firing which was attenuated by co-treatment with tomivosertib (25 nM). MEA dishes that were only treated with tomivosertib showed a reduction in firing compared to the IL-6 only group. For the tomivosertib group, there was no significant difference in firing rate between any of the treatment time points and the baseline recording (p&gt;0.05). **IL6 only vs IL6+tomivosertib; #IL6 only vs tomivosertib only. ( FIG. 14D ) Western blot analysis revealed that eIF4E phosphorylation was unchanged in mPFC after SNI in male and female mice. One-way ANOVA with Bonferroni multiple comparisons (blot and MEA data), unpaired t-test (CPP) ****p&lt;0.0001, **p&lt;0.01, *p&lt;0.05. 
         FIGS. 15A-E  show that inhibition of eIF4E signaling reverses PNI-induced changes in AIS length in the infralimbic cortex. ( FIG. 15A ) Representative images of AIS staining in the infralimbic cortex of WT, 4EKI, MNK1 KO, and tomivosertib-treated (10 mg/kg p.o. daily for 7 days) animals. ( FIG. 15B ) AIS length was significantly decreased in L5/L6 of the IL in WT SNI male. SNI did not alter AIS length in ( FIG. 15C ) 4EKI SNI mice nor ( FIG. 15D ) MNK1 KO SNI animals. SNI-induced changes in AIS length were reversed by ( FIG. 15E ) tomivosertib treatment. Image scale bar: 20 μm and 500 nm, respectively. Two-way ANOVA with Bonferroni multiple comparisons ****p&lt;0.0001, **p&lt;0.01. 
         FIGS. 16A-C  show that Genetic inhibition of the MNK-eIF4E signaling axis causes obsessive compulsive-like behaviors. ( FIG. 16A ) MNK1 KO SNI animals took significantly longer to complete rule-shifting with each trial taking ˜1.5-2 minutes. ( FIG. 16B ) Tomivosertib-treated mice did not display the same type of behavior in the maze as the MNK1 KOs. ( FIG. 16C ) To test if these behaviors were OCD-like, MNK1 KOs, 4EKI and tomivosertib-treated (10 mg/kg p.o. daily for 7 days) mice were assessed in a marble burying task. MNK1 KOs and 4EKI mice buried significantly more marbles compared to WT naïve controls, while tomivosertib-treated mice performed similarly to naïve and vehicle-controls. These data suggest that disruption of eIF4E signaling from development leads to an OCD phenotype. One or two-way ANOVA with Bonferroni multiple comparisons ( FIGS. 16A-B ) and comparison to WT naïve ( FIG. 16C ) ****p&lt;0.0001, ***p&lt;0.001, **p&lt;0.01, *p&lt;0.05. 
         FIGS. 17A-C  show the effects of intraperitoneal (i.p) dosing of tomivosertib on locomotor behaviors. WT male and female mice were given a single injection of tomivosertib (10 mg/kg i.p.; 4 mg/mL stock), vehicle or nothing 1 hour prior to being placed in an open field or on a rotarod. ( FIG. 17A ) Mice that received vehicle or tomivosertib moved significantly slower in the open field than naïve mice. ( FIG. 17B ) However, vehicle and tomivosertib mice were still conscious and very active in the open field as exemplified in their representative motor maps. ( FIG. 17C ) Mice that received tomivosertib or vehicle showed no significant difference to naïve mice in the rotarod test. These data support that the mice were still awake and active in the conditioning chamber during our CPP-tomivosertib experiments. One or two-way ANOVA with Bonferroni multiple comparisons *p&lt;0.05. 
         FIGS. 18A-L  show that Type I IFNs induce mechanical nociceptive hypersensitivity responses via a peripheral action in male and female mice. ( FIGS. 18A-D ) In male mice, intraplantar (i.pl.) administration of IFN-α (300 U/25 μL) or IFN-β (300 U/25 μL) increased paw mechanical hypersensitivity (g) to von Frey stimulation ( FIGS. 18A-B ) with no significant changes in paw withdrawal latency (s) to thermal stimulation ( FIGS. 18C-D ). n=9 (vehicle groups) and n=12 (IFN groups) in  FIGS. 18A-B . n=6 (vehicle groups) and n=12 (IFN groups) in  FIGS. 1C-D . ( FIGS. 18E-H ) In female mice, i.pl. administration of IFN-α (300 U/25 μL) and IFN-β (300 U/25 μL) increased paw mechanical sensitivity to von Frey stimulation ( FIGS. 18E-F ) with no significant changes in paw withdrawal latency (s) to thermal stimulation ( FIGS. 18G-H ). n=6 per group. ( FIGS. 1I-L ) When comparing male versus female, no significant sex differences in the development of mechanical hypersensitivity ( FIGS. 18I-J ) or the presence of thermal sensitivity ( FIGS. 18K-L ) were observed between groups following either IFN-α (300 U/25 L) or IFN-β (300 U/25 μL) i.pl. administration. Data are presented as mean±SEM. Group differences were assessed using two-way ANOVA for  FIGS. 18A-B  and  18 E-F followed by Bonferroni&#39;s multiple comparisons test. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.001. 
         FIGS. 19A-J  present data showing expression of IFNRs in DRG sensory neurons. ( FIG. 19A ) Single DRG neuron-sequencing tSNE clusters showing expression of both Ifnar1 (IFNR1) and Ifnar2 (IFNR1) mRNAs with the neuronal marker rbfox3 (NeuN). ( FIG. 19B ) Ifnar1 and Ifnar2 mRNAs expression overlaps with the small/medium-sized neuron sub-population expressing Prph (peripherin) and Scn10a (Nav1.8). ( FIG. 19C ) Ifnar1 and Ifnar2 mRNAs distribution across DRG sensory neurons of peptidergic [Trpv1 (TRPV1), Calca (CGRP)] and non-peptidergic [P2rx3 (P2X3)] sub-clusters. ( FIG. 19D ) Ifnar1 and Ifnar2 mRNAs expression differences in a subpopulation that express F2rl1 (PAR2) and Nppb (NPPB). ( FIG. 19E ) In situ hybridization of Ifnr1 and Ifnr2 mRNA in neurons expressing Calca, P2rx3 and NF200. ( FIG. 19F ) Co-expression analysis of Ifnr1 and Ifnr2 across the nociceptive population in the DRG. ( FIG. 19G ) Quantification of % Ifnr1 and Ifnr2 mRNA subunits based on total DRG neuronal population. n=3. ( FIGS. 19I-J ) Frequency analysis of Ifnr1 and Ifnr2 in the DRG based on neuronal size. 
         FIGS. 20A-C  show downstream signaling events associated with IFNRs activation. ( FIG. 20A ) Direct stimulation of IFNRs with IFN-α (300 U/mL) and IFN-β (300 U/mL) activated downstream JAK/STAT signaling pathways in cultured DRG neurons. ( FIG. 20B ) Neither IFN-α (300 U/mL) nor IFN-β (300 U/mL) induced mTOR or RS6 phosphorylation in DRG cultures over a time course of 6 h. ( FIG. 20C ) Time course of the effects produced by IFN-α (300 U/mL) and IFN-β (300 U/mL) on ERK, eIF4E and AKT phosphorylation. Data are presented as mean±SEM. n=3-6 per group for WB analysis. Group differences (treated vs vehicle) in  FIGS. 20A-C  were assessed using one-way ANOVA followed by Dunnett&#39;s multiple comparisons test. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001 
         FIGS. 21A-E  present data showing Type I IFNRs activity in cultured DRG neurons is neither associated with BiP-PKR-eIF2α stimulation nor suppressed by the small-molecule ISR inhibitor ISRIB. ( FIGS. 21A-B ) Application of either IFN-α (300 U/mL) ( FIG. 21A ) or IFN-β (300 U/mL) ( FIG. 21B ) for 1-6 h did not modify BiP expression or signaling via PKR and downstream p-eIF2α in cultured DRG neurons. ( FIG. 21C ) Long exposure (24 h) to IFN-α (300 U/mL) ( FIG. 21A ) or IFN-β (300 U/mL) did not modify PKR phosphorylation in cultured DRG neurons. Likewise, no changes on PKR phosphorylation after a 24 h IFN-α (300 U/mL) treatment were observed in the presence of the integrated stress response inhibitor ISRIB (200 nM). ( FIGS. 21D-E ) The integrated stress response (ISR) inhibitor ISRIB (200 nM) did not modulate components of the signaling pathways that are activated after either IFN-α (300 U/mL) ( FIG. 21D ) or IFN-β (300 U/mL) ( FIG. 21E ) application. n=3 per group. Data are presented as mean±SEM. 
         FIGS. 22A-D  present data showing IFN-α treatment causes DRG neuron hyperexcitability. ( FIG. 22A ) Small- and medium sized DRG neurons were sampled for patch clamp electrophysiology experiments. The resting membrane potential was similar across the groups, with no significant effect of IFN-α treatment. ( FIG. 22B ) Representative traces of action potential firing in the control (n=8 cells) and IFN-α (n=6 cells) groups. Action potentials were elicited by slowly depolarizing ramp currents of varying intensities. ( FIG. 22C ) Mean number of action potentials were higher in the IFN-α group at each ramp intensity. ( FIG. 22D ) IFN-α treatment significantly shortened the latency to the first spike. Group differences were assessed using two-way ANOVA followed by Fisher&#39;s LSD test. *P&lt;0.05,**P&lt;0.01. 
         FIGS. 23A-I  present data showing genetic and pharmacological targeting of the MNK-eIF4E signaling axis attenuates type I IFN-induced pain hypersensitivity. ( FIGS. 23A-B ) One h stimulation with either IFN-α (300 U/mL) or IFN-β (300 U/mL) phosphorylated the translation initiation factor eIF4E at serine S209 (eIF4E S209 , in red) in cultured DRG neurons expressing NeuN (blue) and peripherin (green). Scale bar 50 μm. Data are presented as mean±SEM. Group differences were assessed using one-way ANOVA followed by Dunnett&#39;s multiple comparisons test. ( FIG. 23C ) MNK1 −/−  mouse genotyping. ( FIGS. 23D-E ) Mechanical hypersensitivity produced by intraplantar (i.pl.) administration of either IFN-α (300 U/25 μL) ( FIG. 23D ) or IFN-β (300 U/25 μL) ( FIG. 23E ) was attenuated in mice lacking MNK1 (Mknk1 −/− ), the specific kinase that phosphorylates eIF4E. Data are presented as mean±SEM. n=6 per group. Group differences were assessed using two-way ANOVA followed by Bonferroni&#39;s multiple comparisons test. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001. ( FIG. 23F ) eIF4E S209A  mouse genotyping. ( FIG. 23G ) Mice lacking the phosphorylation site at Serine 209 (eIF4E S209A ) showed absence of eIF4E phosphorylation in L5 DRGs demonstrating antibody specificity. Scale bar=50 μm. ( FIGS. 23H-I ) Mechanical hypersensitivity was attenuated in eIF4E S209A  mice compared to WT mice following an i.pl. injection of either IFN-α (300 U/25 μL) ( FIG. 23H ) or IFN-β (300 U/25 μL). ( FIG. 23I ) Data are presented as mean±SEM. n=6 per group. Group differences were assessed using two-way ANOVA followed by Bonferroni&#39;s multiple comparisons test. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001 
         FIGS. 24A-J  present data showing that endogenous type I IFN induction with poly (I:C) produces pain sensitization in mice via MNK1-eIF4E signaling. ( FIGS. 24A-B ) The synthetic analog of a double stranded RNA (dsRNA), poly (I:C) (1 mg/kg, i.p.), injected for two consecutive days, produced mechanical ( FIG. 24A ) and thermal hypersensitivity ( FIG. 24B ) in mice. n=6 per group. *p&lt;0.05, **p&lt;0.01, compare to vehicle.  # p&lt;0.05,  ## p&lt;0.01,  ### p&lt;0.001,  #### p&lt;0.0001 compare to baseline. Group differences were assessed using two-way ANOVA followed by Dunnett&#39;s ( # ) or Bonferroni&#39;s (*) multiple comparisons tests. ( FIG. 24C ) Changes in body temperature produced by intraperitoneal poly (I:C) (1 mg/kg) administration. n=6 per group. **p&lt;0.01, ****p&lt;0.0001 compared to vehicle. Group differences were assessed using unpaired t-test. ( FIG. 24D ) Intraperitoneal poly (I:C) administration increased phospho, but not total, eIF4E in L5 DRGs of WT mice at day 2 (3 hr post 2 nd  poly I:C injection). Scale bar=50 μm. n=3 per group. *p&lt;0.05 compared to vehicle. Group differences were assessed using unpaired t-test. ( FIGS. 24E-F ) Mechanical ( FIG. 24E ) and thermal ( FIG. 24F ) hypersensitivity produced by i.pl. administration of poly (I:C) (1 mg/kg) were partially attenuated in MNK1 −/−  mice compared to WT mice. ***p&lt;0.001, compare to WT mice.  # p&lt;0.05,  ## p&lt;0.01,  ### p&lt;0.001,  ## p&lt;0.001 compared to baseline. n=12 (WT) and n=6 (MNK1 −/− ) per group. Group differences were assessed using two-way ANOVA followed by Dunnett&#39;s ( # ) or Bonferroni&#39;s (*) multiple comparisons tests. ( FIGS. 24G-H ) Mechanical ( FIG. 24G ) and thermal ( FIG. 24H ) hypersensitivity produced by i.pl. administration of poly (I:C) (1 mg/kg) were attenuated in eIF4E S209A  mice compared to WT mice. n=12 (WT) and n=6 (eIF4E S209A ) per group. *p&lt;0.05, ***p&lt;0.001 compared to WT mice,  # p&lt;0.05,  ## p&lt;0.01,  ### p&lt;0.001 compared to baseline. Group differences were assessed using two-way ANOVA followed by Dunnett&#39;s ( # ) or Bonferroni&#39;s (*) multiple comparisons tests. ( FIG. 24I ) Lumbar DRGs (L4-L5), lumbar spinal dorsal horn (SDH) and sciatic nerve from MNK −/−  and eIF4E S209A  mice showed decrease and absence, respectively, on eIF4E phosphorylation compared to WT mice following i.p. poly I:C administration [day 2, 3 h post 2 nd  poly (I:C) injection]. n=3 per group. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.001 compared to WT. Differences were assessed using one-way ANOVA followed by Dunnett&#39;s multiple comparisons test. ( FIG. 24J ) Application of poly (I:C) (10 μg/mL) did not increase p-ERK, p-eIF4E, p-PKR or p-eIF2α in cultured DRG neurons. n=3 per group. 
         FIG. 25  shows a schematic model of downstream signaling events associated with type I interferon actions in nociceptors. The inventors&#39; work demonstrates that type I IFN production rapidly induced nociceptor hyperexcitability and mechanical pain sensitization via IFNR activation, likely on sensory neurons. The signaling mechanisms are dependent on MNK-eIF4E with no apparent integrated stress response (ISR) induction. Therefore, MNK-eIF4E signaling is a key translation regulation pathway that modulates viral infection-induced pain. 
     
    
    
     DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS 
     The present disclosure provides a MNK inhibitor, eFT508, for use in treating, inhibiting, preventing or reversing neuropathic pain in a subject. 
     Neuropathic pain is a major clinical problem that is remarkably difficult to treat. MNK-eIF4E signaling is a key driver of neuropathic pain induced by peripheral nerve injury in mice. Targeting MNK with eFT508, which is a very specific inhibitor of this kinase, can reverse established neuropathic pain. eFT508 treatment may also reverse cognitive deficits and prefrontal cortex pathology that are comorbid with neuropathic pain. In particular, chemotherapy-induced peripheral neuropathy is driven by MNK-eIF4E signaling, and notoriously challenging to treat, much less prevent. The inventors have shown that targeting MNK with eFT508, can reverse established chemotherapy-induced peripheral neuropathy. 
     I. PAIN 
     Pain is an unpleasant feeling often caused by intense or damaging stimuli. The International Association for the Study of Pain&#39;s widely used definition states: “Pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage.” 
     Pain motivates the individual to withdraw from damaging situations, to protect a damaged body part while it heals, and to avoid similar experiences in the future. Most pain resolves promptly once the painful stimulus is removed and the body has healed, but sometimes pain persists despite removal of the stimulus and apparent healing of the body; and sometimes pain arises in the absence of any detectable stimulus, damage or disease. 
     Pain is the most common reason for physician consultation in the United States. It is a major symptom in many medical conditions, and can significantly interfere with a person&#39;s quality of life and general functioning. Psychological factors such as social support, hypnotic suggestion, excitement, or distraction can significantly modulate pain&#39;s intensity or unpleasantness. 
     The International Association for the Study of Pain (IASP) has classified pain according to specific characteristics: (a) region of the body involved (e.g., abdomen, lower limbs), (b) system whose dysfunction may be causing the pain (e.g., nervous, gastrointestinal), (c) duration and pattern of occurrence, (d) intensity and time since onset, and (e) etiology. This system has been criticized by Clifford J. Woolf and others as inadequate for guiding research and treatment. According to Woolf, there are three classes of pain: nociceptive pain (see hereunder), inflammatory pain which is associated with tissue damage and the infiltration of immune cells, and pathological pain which is a disease state caused by damage to the nervous system (neuropathic pain, see hereunder) or by its abnormal function (dysfunctional pain, like in fibromyalgia, irritable bowel syndrome, tension type headache, etc.). 
     A. Chronic Pain 
     Pain is usually transitory, lasting only until the noxious stimulus is removed or the underlying damage or pathology has healed, but some painful conditions, such as rheumatoid arthritis, peripheral neuropathy, cancer and idiopathic pain, may persist for years. Pain that lasts a long time is called chronic, and pain that resolves quickly is called acute. Traditionally, the distinction between acute and chronic pain has relied upon an arbitrary interval of time from onset; the two most commonly used markers being 3 months and 6 months since the onset of pain, though some theorists and researchers have placed the transition from acute to chronic pain at 12 months. Others apply acute to pain that lasts less than 30 days, chronic to pain of more than six months duration, and subacute to pain that lasts from one to six months. A popular alternative definition of chronic pain, involving no arbitrarily fixed durations is “pain that extends beyond the expected period of healing.” Chronic pain may be classified as cancer pain or benign. 
     B. Nociceptive Pain 
     Nociceptive pain is caused by stimulation of peripheral nerve fibers that respond only to stimuli approaching or exceeding harmful intensity (nociceptors), and may be classified according to the mode of noxious stimulation; the most common categories being “thermal” (heat or cold), “mechanical” (crushing, tearing, etc.) and “chemical” (iodine in a cut, chili powder in the eyes). As subset of nocicipetive pain is called “inflammatory” pain, as it results from tissue damage and the response of innate inflammatory responses. Nociceptive pain may also be divided into “visceral,” “deep somatic” and “superficial somatic” pain. Visceral structures are highly sensitive to stretch, ischemia and inflammation, but relatively insensitive to other stimuli that normally evoke pain in other structures, such as burning and cutting. Visceral pain is diffuse, difficult to locate and often referred to a distant, usually superficial, structure. It may be accompanied by nausea and vomiting and may be described as sickening, deep, squeezing, and dull. Deep somatic pain is initiated by stimulation of nociceptors in ligaments, tendons, bones, blood vessels, fasciae and muscles, and is dull, aching, poorly localized pain. Examples include sprains and broken bones. Superficial pain is initiated by activation of nociceptors in the skin or other superficial tissue, and is sharp, well-defined and clearly located. Examples of injuries that produce superficial somatic pain include minor wounds and minor (first degree) burns. 
     C. Neuropathic Pain 
     Neuropathic pain is pain caused by damage or disease that affects the somatosensory system. It may be associated with abnormal sensations called dysesthesia, and pain produced by normally non-painful stimuli (allodynia). Neuropathic pain may have continuous and/or episodic (paroxysmal) components. The latter are likened to an electric shock. Common qualities include burning or coldness, “pins and needles” sensations, numbness and itching. Nociceptive pain, by contrast, is more commonly described as aching. 
     Neuropathic pain may result from disorders of the peripheral nervous system or the central nervous system (brain and spinal cord). Thus, neuropathic pain may be divided into peripheral neuropathic pain, central neuropathic pain, or mixed (peripheral and central) neuropathic pain. Central neuropathic pain is found in spinal cord injury, multiple sclerosis, and some strokes. Aside from diabetes (see diabetic neuropathy) and other metabolic conditions, the common causes of painful peripheral neuropathies are herpes zoster infection, HIV-related neuropathies, nutritional deficiencies, toxins, remote manifestations of malignancies, immune mediated disorders and physical trauma to a nerve trunk. 
     Neuropathic pain is common in cancer as a direct result of cancer on peripheral nerves (e.g., compression by a tumor), or as a side effect of chemotherapy, radiation injury or surgery. After a peripheral nerve lesion, aberrant regeneration may occur. Neurons become unusually sensitive and develop spontaneous pathological activity, abnormal excitability, and heightened sensitivity to chemical, thermal and mechanical stimuli. This phenomenon is called “peripheral sensitization.” 
     The (spinal cord) dorsal horn neurons give rise to the spinothalamic tract (STT), which constitutes the major ascending nociceptive pathway. As a consequence of ongoing spontaneous activity arising in the periphery, STT neurons develop increased background activity, enlarged receptive fields and increased responses to afferent impulses, including normally innocuous tactile stimuli. This phenomenon is called central sensitization. Central sensitization is an important mechanism of persistent neuropathic pain. 
     Other mechanisms, however, may take place at the central level after peripheral nerve damage. The loss of afferent signals induces functional changes in dorsal horn neurons. A decrease in the large fiber input decreases activity of interneurons inhibiting nociceptive neurons, i.e., loss of afferent inhibition. Hypoactivity of the descending antinociceptive systems or loss of descending inhibition may be another factor. With loss of neuronal input (deafferentation) the STT neurons begin to fire spontaneously, a phenomenon designated “deafferentation hypersensitivity.” Neuroglia (“glial cells”) may play a role in central sensitization. Peripheral nerve injury induces glia to release proinflammatory cytokines and glutamate—which, in turn influence neurons. 
     II. MNK AND MNK-EIF4E SIGNALING 
     A. MNKs 
     Mitogen-activated protein (MAP) kinases interacting kinases (MNKs) phosphorylate the eukaryotic translation initiation factor 4E (eIF4E) and factors that bind to AU-rich elements in the 3′-untranslated region of certain mRNAs. MNKs apparently regulate the expression of a specific set of proteins rather than global protein synthesis, and are involved in growth control, inflammation and viral translation. Therefore, they represent interesting targets for pharmaceutical intervention. 
     MNKs comprise a subfamily of Ser/Thr kinases, phylogenetically considered Ca 2+ /calmodulin-dependent kinases (CaMK). MNKs are activated through phosphorylation by the growth factor-stimulated Ras/extracellular signal-regulated kinase pathway and the stress-induced p38 pathway. There are two human MNK genes, mnk1 and mnk2, each of is alternatively spliced in to different isoforms (Mnk1a, Mnk1b, Mnk2a and Mnk2b) of 347-465 residues. All four proteins contain a stretch of basic residues at their N-termini that functions as a nuclear localization signal and as a binding region for the eukaryotic initiation factor 4G. Mnk1a and Mnk2a contain putative nuclear export motifs and MAP kinase-binding sites C-terminal of the central kinase domains, both of which are removed by alternative splicing in Mnk1b and Mnk2b. 
     B. eIF4F Involvement with MNK Signaling 
     Eukaryotic initiation factor 4F (eIF4F) is a heterotrimeric protein complex that binds the 5′ cap of messenger RNAs (mRNAs) to promote eukaryotic translation initiation. The eIF4F complex is composed of three non-identical subunits: the DEAD-box RNA helicase eIF4A, the cap-binding protein eIF4E, and the large “scaffold” protein eIF4G. The mammalian eIF4F complex was first described in 1983 and has been a major area of study into the molecular mechanisms of cap-dependent translation initiation ever since. eIF4F is important for recruiting the small ribosomal subunit (40S) to the 5′ cap of mRNAs during cap-dependent translation initiation. Components of the complex are also involved in cap-independent translation initiation; for instance, certain viral proteases cleave eIF4G to remove the eIF4E-binding region, thus inhibiting cap-dependent translation. 
     Structures of eIF4F components have been solved individually and as partial complexes by a variety of methods, but no complete structure of eIF4F is currently available. In mammals, the eIF4E⋅G⋅A trimeric complex can be directly purified from cells, while only the two subunit eIF4E⋅G can be purified from yeast cells. eIF4E binds the m 7 G 5′ cap and the eIF4G scaffold, connecting the mRNA 5′ terminus to a hub of other initiation factors and mRNA. The interaction of eIF4G⋅A is thought to guide the formation of a single-stranded RNA landing pad for the 43S preinitiation complex (43S PIC) via eIF4A&#39;s RNA helicase activity. 
     The eIF4F proteins interact with a number of different binding partners, and there are multiple genetic isoforms of eIF4A, eIF4E, and eIF4G in the human genome. In mammals, eIF4F is bridged to the 40S ribosomal subunit by eIF3 via eIF4G, while budding yeast lacks this connection. Interactions between eIF4G and PABP are thought to mediate the circularization of mRNA particles. The eIF4E subunit of eIF4F is an important target of mTOR signaling through the eIF4E binding protein (4E-BP). Phosphorylation of 4E-BPs by mTOR prevents their binding to eIF4E, freeing eIF4E to bind eIF4G and participate in translation initiation. 
     Hyperphosphorylation of the 4E-BPs by the mTOR kinase in response to a variety of environmental cues results in the release of eIF4E, allowing the cap-binding protein to associate with eIF4G and assemble an active eIF4F complex. In addition, the cap-binding protein eIF4E is phosphorylated by the eIF4G-associated kinase MNK-1. 
     It is known that inhibiting activity-dependent mRNA translation through mechanistic target of rapamycin and mitogen-activated protein kinase (MAPK) pathways blocks the development of nociceptor sensitization. These pathways convergently signal to the eukaryotic translation initiation factor (eIF) 4F complex to regulate the sensitization of nociceptors, but the details of this process are ill defined. Moy et al. (2017) investigated whether the phosphorylation of eIF4E by its specific kinase MAPK interacting kinases (MNKs) 1/2 was involved in nociceptor sensitization and chronic pain. Phosphorylation of ser209 on eIF4E regulates the translation of a subset of mRNAs, and the authors showed that pronociceptive and inflammatory factors, such as nerve growth factor (NGF), interleukin-6 (IL-6), and carrageenan, produced decreased mechanical and thermal hypersensitivity, decreased affective pain behaviors, and strongly reduced hyperalgesic priming in mice lacking eIF4E phosphorylation (eIF4E S209A ). Moreover, in patch-clamp electrophysiology and Ca 2+ -imaging experiments on dorsal root ganglion neurons, NGF- and IL-6-induced increases in excitability were attenuated in neurons from eIF4E S209A  mice. These effects were recapitulated in Mnk1/2 −/−  mice and with the MNK1/2 inhibitor cercosporamide. The authors also found that cold hypersensitivity induced by peripheral nerve injury is reduced in eIF4E S209A  and Mnk1/2 −/−  mice and following cercosporamide treatment. They concluded that the MNK1/2-eIF4E signaling axis is an important contributing factor to mechanisms of nociceptor plasticity and the development of neuropathic pain. 
     III. PHARMACEUTICAL FORMULATIONS AND ROUTES OF ADMINISTRATION 
     A. MNK Inhibitors 
     The MNK inhibitor eFT508 may be used in the therapeutic and other methods described herein. eFT508, also call Tomivosertib, is a potent, highly selective, and orally bioavailable MNK1 and MNK2 inhibitor, with IC 50 s of 1-2 nM against both isoforms. Its structure is shown below: 
     
       
         
         
             
             
         
       
     
     In vitro, eFT508 reduces eIF4E phosphorylation dose-dependently at serine 209 (IC 50 =2-16 nM) in tumor cell lines. eFT508 has shown anti-proliferative activity against multiple DLBCL cell lines. Sensitivity to eFT508 in TMD8, OCI-Ly3 and HBL1 DLBCL cell lines is associated with dose-dependent decreases in production of pro-inflammatory cytokines including TNFα, IL-6, IL-10 and CXCL10. eFT508&#39;s mechanism of action appears to be decreased TNFα production correlating with a 2-fold decrease in TNFα mRNA half-life. In vivo, eFT508 shows significant anti-tumor activity in multiple models, both of which harbor activating MyD88 mutations. eFT508 also combines effectively with components of R-CHOP and with novel targeted agents, including ibrutinib and venetoclax, in human lymphoma models. 
     PCT Application Publication No. WO2017117052 describes methods of assessing whether a human subject having a hyperproliferative disease is likely to respond to treatment with a MNK inhibitor or of identifying a human subject as a candidate for treating a hyperproliferative disease with a MNK inhibitor, as well as methods of treating such disease. WO2018218038 describes compositions and methods for cellular immunotherapy by, for example, generating modified antigen-specific T cells for use with MNK-specific inhibition, as well as methods for generating or increasing central memory, antigen-specific T cells, improving cytotoxic T lymphocyte (CTL) activity of such T cells, or both by MNK-specific inhibition. Both applications describe eFT508 in further detail, and the relevant disclosures from each are incorporated herein by reference with respect to that molecule. 
     B. Formulations and Routes 
     Where clinical applications in treating pain are contemplated, it will be necessary to prepare pharmaceutical compositions in a form appropriate for the intended application. Generally, this will entail preparing compositions that are essentially free of pyrogens, as well as other impurities that could be harmful to humans or animals. 
     One will generally desire to employ appropriate salts and buffers to render materials stable and allow for uptake by target cells. Aqueous compositions of the present disclosure comprise an effective amount of the agent to cells, dissolved or dispersed in a pharmaceutically acceptable carrier or aqueous medium. Such compositions also are referred to as inocula. The phrase “pharmaceutically or pharmacologically acceptable” refers to molecular entities and compositions that do not produce adverse, allergic, or other untoward reactions when administered to an animal or a human. As used herein, “pharmaceutically acceptable carrier” includes any and all solvents, dispersion media, coatings, antibacterial and antifungal agents, isotonic and absorption delaying agents and the like. The use of such media and agents for pharmaceutically active substances is well known in the art. Except insofar as any conventional media or agent is incompatible with the compositions of the present disclosure, its use in therapeutic compositions is contemplated. Supplementary active ingredients also can be incorporated into the compositions. 
     The active compositions of the present disclosure may include classic pharmaceutical preparations. Administration of these compositions according to the present disclosure will be via any common route so long as the target tissue is available via that route. Such routes include intravenous, oral, nasal, buccal, rectal, vaginal or topical route. Alternatively, administration may be by orthotopic, transdermal, intradermal, subcutaneous, intramuscular, intraperitoneal, intrathecal or intravenous injection. Such compositions would normally be administered as pharmaceutically acceptable compositions, described supra. Of particular interest is transdermal, intraperitoneal, intravenous, subcutaneous or oral administration. 
     With regard to transdermal delivery, a patch is particularly contemplated. There are five main types of transdermal patches. In the Single-layer Drug-in-Adhesive, the adhesive layer of this system also contains the drug. In this type of patch, the adhesive layer not only serves to adhere the various layers together, along with the entire system to the skin, but is also responsible for the releasing of the drug. The adhesive layer is surrounded by a temporary liner and a backing. In Multi-layer Drug-in-Adhesive, the multi-layer drug-in adhesive patch is similar to the single-layer system in that both adhesive layers are also responsible for the releasing of the drug. One of the layers is for immediate release of the drug and other layer is for control release of drug from the reservoir. The multi-layer system is different however that it adds another layer of drug-in-adhesive, usually separated by a membrane (but not in all cases). This patch also has a temporary liner-layer and a permanent backing. 
     Unlike the Single-layer and Multi-layer Drug-in-adhesive systems, the reservoir transdermal system has a separate drug layer. The drug layer is a liquid compartment containing a drug solution or suspension separated by the adhesive layer. This patch is also backed by the backing layer. In this type of system, the rate of release is zero order. The Matrix system has a drug layer of a semisolid matrix containing a drug solution or suspension. The adhesive layer in this patch surrounds the drug layer partially overlaying it. This is also known as a monolithic device. In Vapor Patches, the adhesive layer not only serves to adhere the various layers together but also to release vapour. The vapor patches are new on the market and they release essential oils for up to 6 hours. Vapor patches release essential oils and are used in cases of decongestion mainly. Other vapor patches on the market are controller vapour patches that improve the quality of sleep. Vapor patches that reduce the quantity of cigarettes that one smokes in a month are also available on the market. 
     The active compounds may also be administered parenterally or intraperitoneally. Solutions of the active compounds as free base or pharmacologically acceptable salts can be prepared in water suitably mixed with a surfactant, such as hydroxypropylcellulose. Dispersions can also be prepared in glycerol, liquid polyethylene glycols, and mixtures thereof and in oils. Under ordinary conditions of storage and use, these preparations contain a preservative to prevent the growth of microorganisms. 
     The pharmaceutical forms suitable for injectable use include sterile aqueous solutions or dispersions and sterile powders for the extemporaneous preparation of sterile injectable solutions or dispersions. In all cases the form must be sterile and must be fluid to the extent that easy syringability exists. It must be stable under the conditions of manufacture and storage and must be preserved against the contaminating action of microorganisms, such as bacteria and fungi. The carrier can be a solvent or dispersion medium containing, for example, water, ethanol, polyol (for example, glycerol, propylene glycol, and liquid polyethylene glycol, and the like), suitable mixtures thereof, and vegetable oils. The proper fluidity can be maintained, for example, by the use of a coating, such as lecithin, by the maintenance of the required particle size in the case of dispersion and by the use of surfactants. The prevention of the action of microorganisms can be brought about by various antibacterial and antifungal agents, for example, parabens, chlorobutanol, phenol, sorbic acid, thimerosal, and the like. In many cases, it will be preferable to include isotonic agents, for example, sugars or sodium chloride. Prolonged absorption of the injectable compositions can be brought about by the use in the compositions of agents delaying absorption, for example, aluminum monostearate and gelatin. 
     Sterile injectable solutions are prepared by incorporating the active compounds in the required amount in the appropriate solvent with various other ingredients enumerated above, as required, followed by filtered sterilization. Generally, dispersions are prepared by incorporating the various sterilized active ingredients into a sterile vehicle which contains the basic dispersion medium and the required other ingredients from those enumerated above. In the case of sterile powders for the preparation of sterile injectable solutions, the preferred methods of preparation are vacuum-drying and freeze-drying techniques which yield a powder of the active ingredient plus any additional desired ingredient from a previously sterile-filtered solution thereof. 
     As used herein, “pharmaceutically acceptable carrier” includes any and all solvents, dispersion media, coatings, antibacterial and antifungal agents, isotonic and absorption delaying agents and the like. The use of such media and agents for pharmaceutical active substances is well known in the art. Except insofar as any conventional media or agent is incompatible with the active ingredient, its use in the therapeutic compositions is contemplated. Supplementary active ingredients can also be incorporated into the compositions. 
     For oral administration the polypeptides of the present disclosure may be incorporated with excipients and used in the form of non-ingestible mouthwashes and dentifrices. A mouthwash may be prepared incorporating the active ingredient in the required amount in an appropriate solvent, such as a sodium borate solution (Dobell&#39;s Solution). Alternatively, the active ingredient may be incorporated into an antiseptic wash containing sodium borate, glycerin and potassium bicarbonate. The active ingredient may also be dispersed in dentifrices, including: gels, pastes, powders and slurries. The active ingredient may be added in a therapeutically effective amount to a paste dentifrice that may include water, binders, abrasives, flavoring agents, foaming agents, and humectants. 
     The compositions of the present disclosure may be formulated in a neutral or salt form. Pharmaceutically-acceptable salts include the acid addition salts (formed with the free amino groups of the protein) and which are formed with inorganic acids such as, for example, hydrochloric or phosphoric acids, or such organic acids as acetic, oxalic, tartaric, mandelic, and the like. Salts formed with the free carboxyl groups can also be derived from inorganic bases such as, for example, sodium, potassium, ammonium, calcium, or ferric hydroxides, and such organic bases as isopropylamine, trimethylamine, histidine, procaine and the like. 
     Upon formulation, solutions will be administered in a manner compatible with the dosage formulation and in such amount as is therapeutically effective. The formulations are easily administered in a variety of dosage forms such as injectable solutions, drug release capsules and the like. For parenteral administration in an aqueous solution, for example, the solution should be suitably buffered if necessary and the liquid diluent first rendered isotonic with sufficient saline or glucose. These particular aqueous solutions are especially suitable for intravenous, intramuscular, subcutaneous and intraperitoneal administration. In this connection, sterile aqueous media, which can be employed, will be known to those of skill in the art in light of the present disclosure. For example, one dosage could be dissolved in 1 ml of isotonic NaCl solution and either added to 1000 ml of hypodermoclysis fluid or injected at the proposed site of infusion, (see for example, “Remington&#39;s Pharmaceutical Sciences,” 15th Edition, pages 1035-1038 and 1570-1580). Some variation in dosage will necessarily occur depending on the condition of the subject being treated. The person responsible for administration will, in any event, determine the appropriate dose for the individual subject. Moreover, for human administration, preparations should meet sterility, pyrogenicity, general safety and purity standards as required by FDA Office of Biologics standards. 
     C. Subjects 
     The methods of the disclosure can be applied to a wide range of species, e.g., humans, non-human primates (e.g., monkeys, baboons, or chimpanzees), horses, cattle, pigs, sheep, goats, dogs, cats, rabbits, guinea pigs, gerbils, hamsters, rats, and mice. 
     IV. THERAPIES 
     A. Monotherapies 
     MNK inhibitors may be used to treat neuropathic pain. This neuropathic pain may include neuropathic pain related to cancer, chemotherapy-induced neuropathy, diabetic neuropathy, autoimmune neuropathy, and traumatic neuropathy. Additional uses include chronic pain such as rheumatoid arthritis. A therapy will provide relief of one or more symptoms of the pain, where such relief is either short term, such as with a single administration, or long term, such as with repeated or chronic administration. 
     B. Agents for Use in Combination with MNK Inhibitors 
     Treating pain is a major issue in clinical medicine. A goal of current research is to find ways to improve the efficacy of pain relief using traditional known therapies, and one-way is by combining such traditional therapies with the therapies of the present disclosure. In the context of the present disclosure, it is contemplated that the MNK inhibitor may be used in a combination therapy with a second agent for treating pain. 
     The therapies would be provided in a combined amount effective to reduce pain. This process may involve contacting the patient with the agents/therapies at the same time. This may be achieved by contacting the patient with a single composition or pharmacological formulation that includes both agents, or by contacting the patient with two distinct compositions or formulations, at the same time, wherein one composition includes the MNK inhibitor and the other includes the second agent. 
     Alternatively, the treatment according to the present disclosure may precede or follow the other treatment by intervals ranging from minutes to weeks. In embodiments where the second therapy and the MNK inhibitor are applied separately to the subject, one would generally ensure that a significant period of time did not expire between each delivery, such that the therapies would still be able to exert an advantageously combined effect on the subject. In such instances, it is contemplated that one would administer both modalities within about 12-24 hours of each other, within about 6-12 hours of each other, or with a delay time of only about 12 hours. In some situations, it may be desirable to extend the time period for treatment significantly; however, where several days (2, 3, 4, 5, 6 or 7) to several weeks (1, 2, 3, 4, 5, 6, 7 or 8) lapse between the respective administrations. 
     It also is conceivable that more than one administration of either the MNK inhibitor or the second therapy will be desired. Various combinations may be employed, where the MNK inhibitor is “A,” and the second therapy is “B,” as exemplified below: 
                                A/B/A B/A/B B/B/A A/A/B B/A/A A/B/B B/B/B/A B/B/A/B       A/A/B/B A/B/A/B A/B/B/A B/B/A/A B/A/B/A B/A/A/B B/B/B/A       A/A/A/B B/A/A/A A/B/A/A A/A/B/A A/B/B/B B/A/B/B B/B/A/B                    
Other combinations, including chronic and continuous dosing of one or both agents, are contemplated. Exemplary but non-limiting examples of suitable therapies for combination with the compositions and methods of the present disclosure are set out below.
 
     Opioids, also known as narcotics, are increasingly recognized as important treatment options for chronic pain. Opioids, along with anticonvulsants and antidepressants are the most consistently effective class of drugs for neuropathic pain. Opioids must be used only in appropriate individuals and under close medical supervision. Several opioids, particularly methadone, and ketobemidone possess NMDA antagonism in addition to their μ-opioid agonist properties. Methadone does so because it is a racemic mixture; only the 1-isomer is a potent μ-opioid agonist. The d-isomer does not have opioid agonist action and acts as an NMDA antagonist; d-methadone is analgesic in experimental models of chronic pain. Clinical studies are in progress to test the efficacy of d-methadone in neuropathic pain syndromes. 
     The following is a non-limiting list of opioids that can be administered in combination with MNK inhibitor in accordance with the present disclosure: Morphine, Opium, Hydromorphone, Nicomorphine, Oxycodone, Dihydrocodeine, Diamorphine, Papaveretum, Codeine, Phenylpiperidine derivatives, Ketobemidone, Pethidine, Fentanyl, Pethidine, Diphenylpropylamine derivatives, Piritramide, Dextropropoxyphene, Bezitramide, Methadone, Dextropropoxyphene, Benzomorphan derivatives, Pentazocine, Phenazocine, Oripavine derivatives, Buprenorphine, Etorphine, Oripavine derivatives, Morphinan derivatives, Butorphanol, Nalbuphine, Tilidine, Tramadol and Dezocine. 
     Gabapentinoids are 3-substituted derivatives of the neurotransmitter γ-aminobutyric acid (GABA) which selectively block α 2 δ-containing voltage-dependent calcium channels. Clinically-used gabapentinoids include gabapentin (Neurontin) and pregabalin (Lyrica), as well as a gabapentin prodrug, gabapentin enacarbil (Horizant). Another analogue mirogabalin is in clinical trials but has not yet been approved. Other compounds from this family used in research but not developed for medical use include atagabalin, 4-methylpregabalin and PD-217,014. Gabapentinoids are used clinically in the treatment of conditions including epilepsy, neuropathic pain, fibromyalgia, anxiety, and restless legs syndrome, among others. The OTC (Anglo-sphere) and Russian pharmaceutical nootropic Phenibut, having its origins deriving from Soviet-engineered cosmonaut medicine, and its Vitamin B-modulated cousin, Picamilon, may also said to be “gabapentinoids”—scientifically crossing the blood brain barrier after the manner of this class—despite the international confusion regarding the precise clinical and medicinal usages and interrelated governmental categorizations of these compounds in terms of “liceity.” 
     The following is a discussion of different therapies currently applied against nociceptive pain conditions. Such is exemplary and not limiting. Currently, there are a wide number of agents effective at treating nociceptive pain. These include salicylates, such as Aspirin (acetylsalicylic acid), Diflunisal and Salsalate, Propionic acid derivatives (Ibuprofen, Dexibuprofen, Naproxen, Fenoprofen, Ketoprofen, Dexketoprofen, Flurbiprofen, Oxaprozin, Loxoprofen), Acetic acid derivatives, (Indomethacin, Tolmetin, Sulindac, Etodolac, Ketorolac, Diclofenac, Nabumetone), Enolic acid (Oxicam) derivatives (Piroxicam, Meloxicam, Tenoxicam, Droxicam, Lornoxicam, Isoxicam), Fenamic acid derivatives or “Fenamates” (Mefenamic acid, Meclofenamic acid, Flufenamic acid, Tolfenamic acid), Selective COX-2 inhibitors (Celecoxib, Rofecoxib, Valdecoxib, Parecoxib, Lumiracoxib, Etoricoxib, Firocoxib), Sulphonanilides such as Nimesulide, and a range of other compounds (Licofelone, Lysine clonixinate, Hyperforin, Figwort). 
     V. EXAMPLES 
     The following examples are included to demonstrate particular embodiments of the disclosure. It should be appreciated by those of skill in the art that the techniques disclosed in the examples which follow represent techniques discovered by the inventor to function well in the practice of the disclosure, and thus can be considered to constitute particular modes for its practice. However, those of skill in the art should, in light of the present disclosure, appreciate that many changes can be made in the specific embodiments which are disclosed and still obtain a like or similar result without departing from the spirit and scope of the disclosure. In particular, features of the specific embodiments in these examples, alone or in the combinations disclosed in the examples, may be combined with other elements disclosed in the specification. In addition, variations of the specific embodiments in these examples that lack one or more features of the specific example, such as a particular dosage amount or regimen or non-therapeutic aspects of the specific example, are also contemplated by this disclosure. 
     Example 1 
     Materials and Methods 
     Antibodies. Antibodies for TRAP (HtzGFP-19F7 and HtzGFP-19C8) were obtained from Sloan Memorial Kettering Centre, after establishing Material Transfer Agreements (MTAs) with the laboratory of Prof. Nathaniel Heintz at The Rockefeller University. All animal procedures were approved by the Institutional Animal Care and Use Committee of University of Texas at Dallas. 
     Transgenic animals. Nav1.8 cre /Rosa26 fsTRAP  mice. Rosa26 fsTRAP  mice were generated as described previously (Zhou et al., 2013) and purchased from Jackson Laboratory (Stock number: 022367). Transgenic mice expressing Cre recombinase under the control of the Scn10a (Nav1.8) promoter were obtained initially from Professor John Wood (University College London) but are commercially available from Infrafrontier (EMMA ID: 04582). The initial characterization of these mice demonstrated that the introduction of the Cre recombinase in heterozygous animals does not affect pain behavior, and their DRG neurons have normal electrophysiological properties (Stirling et al., 2005). 
     Nav1.8 cre  mice on a C57BL/6J genetic background were maintained and bred at the University of Texas at Dallas. Upon arrival, Rosa26 fsTRAP  mice were crossed to Nav1.8 cre  to generate the Nav1.8-TRAP mice that express a fused EGFP-L10a protein in Nav1.8 expressing neurons. All experiments were carried out using male and female littermates aged 8 to 12 weeks old. Mice were group housed (4 maximum) in non-environmentally enriched cages with food and water ad libitum in a 12 h light-dark cycle. Room temperature was maintained at 21±2° C. 
     eIF4E S209A  and Mnk1 −/−  mice. eIF4E S209A  mice on a C57BL/6J background were generated in the Sonenberg laboratory at McGill University, as described previously (Furic et al., 2010), and bred at The University of Texas Dallas to generate experimental animals. All animals were genotyped using DNA from ear clips taken at the time of weaning and all animals were backcrossed to C57BL/6J background for at least 10 generations prior to experiments. Behavioral experiments using eIF4E S209A  and WT mice were performed using mice between the ages of 8 and 12 weeks. 
     Mnk1 −/−  mice on a C57BL/6J background were provided by the Sonenberg laboratory at McGill University and generated as described previously (Ueda et al., 2004). 
     Translating Ribosome Affinity Purification (TRAP). Nav1.8-TRAP male and female mice were decapitated and dorsal root ganglia (DRG) rapidly dissected in ice-cold dissection buffer (1×HBSS (Invitrogen 14065006), 2.5 mM HEPES, 35 mM Glucose, 4 mM NaHCO3, 100 μg/ml cycloheximide, 0.001V 2 mg/ml emetine). DRGs were transferred to ice-cold polysome buffer (20 mM HEPES, 12 mM MgCl 2 , 150 mM KCl, 0.5 mM DTT, 100 μg/ml cyclohexamide, 20 μg/ml emetine, 40 U/ml SUPERase IN (Promega), 1 μl DNAse and protease inhibitor and homogenized using a dounce homogenizer. Samples were centrifuged at 3,000×g for 10 min to prepare post-nuclear fraction (S1). Then, 1% NP-40 and 30 mM DHPC were added to the S1 fraction and then centrifuged at 15,000×g for 15 min to generate a post-mitochondrial fraction (S20). A 200 μl sample of S20 was removed for use as Input, and 800 μl of S20 was incubated with protein G-coated Dynabeads (Life Technologies) bound to 50 μg of anti-GFP antibodies (HtzGFP-19F7 and HtzGFP-19C8, Memorial Sloan Kettering Centre) for 3 hrs at 4° C. with end-over-end mixing. Anti-GFP beads were washed with high salt buffer (20 mM HEPES, 5 mM MgCl 2 , 350 mM KCl, 1% NP-40, 0.5 mM DTT and 100 μg/ml cyclohexamide) and RNA was eluted from all samples using a Direct-zol kit (Zymo Research) according to the manufacturer&#39;s instructions. RNA yield was quantified using a Nanodrop system (ThermoFisher Scientific) and RNA quality was determined by a fragment analyzer (Advanced Analytical Technologies Inc.). 
     Library generation and sequencing. Libraries were generated from 100 ng to 1 μg of total RNA using Quantseq 3′ mRNA-Seq library kit (Lexogen) with RiboCop rRNA depletion kit (Lexogen) treatment according to the manufacturer&#39;s protocols. The endpoint PCR amplification cycle number for each sample was determined by quantitative PCR (qPCR) assay with PCR Add-on kit for Illumina (Lexogen). The cycle number was selected when the fluorescence value reached 33% of the maximum for each sample. Purified libraries were quantified by Qubit (Invitrogen) and the average size was determined by fragment analyzer (Advanced Analytical Technologies Inc.) with high sensitivity NGS fragment analysis kit. Libraries were then sequenced on an Illumina NextSeq500 sequencer using 50-bp single-end reads. 
     Sequence files generated by the Illumina NextSeq500 sequencer were downloaded from BaseSpace. An Initial quality check using FastQC 0.11.5 (Babraham Bioinformatics) was done on the sequencing files and then trimming was performed on the server with the FASTQ Toolkit. Sequences were trimmed with optimized parameters (13 bases from 3′-end, 17 bases from 5′-end, and any poly-adenine longer than 2 bases from the 3′ side). Trimming parameters were optimized based on FastQC results and mapping rate, as well as manually checking high reads or abundant chromosomal regions with IGV 2.3.80. The trimmed sequencing samples were then processed using TopHat 2.1.1 (with Bowtie 2.2.9) and mapped to the mouse reference genome (NCBI reference assembly GRCm38.p4) and reference transcriptome (Gencode vM10) generating files in “.bam” format. The inventors filtered reads such that uniquely mapped reads were processed for further analysis (Table 1). Processed .bam files were then quantified for each gene using Cufflinks 2.2.1 with gencode.vM10 genome annotation. Since reads only mapped to the 3′UTR of the gene, read counts were not normalized by length by the using the Cufflinks option—no-length-correction. Relative abundance for the i th  gene was determined by calculating TPM (transcripts per million) values as follow: 
     
       
         
           
             
               
                 TPM 
                 i 
               
               = 
               
                 
                   10 
                   6 
                 
                 × 
                 
                   
                     a 
                     i 
                   
                   
                     
                       ∑ 
                       j 
                     
                       
                     
                       [ 
                       
                         a 
                         j 
                       
                       ] 
                     
                   
                 
               
             
             , 
           
         
       
     
     where a j  is the Cufflinks reported relative abundance. Finally, TPM values were normalized to upper decile for each biological replicate and udTPM (upper decile TPM) were used for analysis (Glusman et al., 2013), to provide uniform processing for samples with varying sequencing depth and because of varying number of genes in the transcriptome and translatome. 
     Antibodies and chemicals. The peripherin and neurofilament 200 (NF200) antibodies used for immunohistochemistry (IHC) were obtained from Sigma Aldrich (St. Louis, Mo.). Isolectin B 4  (IB 4 ) conjugated to Alexa-Fluor 568 and secondary Alexa-Fluor antibodies were from Life Technologies (Grand Island, N.Y.). Calcitonin gene-related peptide (CGRP) antibody was purchased from Peninsula Laboratories International, Inc. (San Carlos, Calif.). The phospho- and total-eIF4E, 4EBP1, ERK, Akt, RagA, Actin, S6 and GAPDH antibodies were obtained from Cell Signaling Technology (Danvers, Mass.). The phospho-eIF4E antibody used for immunohistochemistry (IHC) was purchased from Abcam (Cambridge, UK). AZD8055 was obtained from LC Laboratories (Woburn, Mass.) and eFT508 was provided by eFFECTOR (San Diego, Calif.) under an MTA agreement with the University of Texas at Dallas. See Table 2 for additional details on antibodies and chemicals used in this study. 
     Thermal and mechanical testing. Mice were housed on 12-hr light-/dark cycles with lights on at 7:00 AM. Mice had food and water available ad libitum. All behavioral experiments were performed between the hours of 9:00 AM and 6:00 PM. Mice were randomized to groups from multiple cages to avoid using mice from experimental groups that were cohabitating. Sample size was estimated as n&lt;6 using a power calculation with 80% power, expectations of 50% effect size, with alpha set to 0.05. The number of animals used in each experiment was based on available animals of the appropriate sex and age but was at least n=5 for experiments. Standard deviation for power calculations was based on previously published data using similar models. Mice were habituated for 1 hr to clear acrylic behavioral chambers before beginning the experiment. Mechanical paw withdrawal thresholds were measured using the up-down method (Chaplan et al., 1994) with calibrated Von Frey filaments (Stoelting Company, Wood Dale, Ill.). Thermal latency was measured using a Hot/Cold plate setting the temperature at 49, 50 and 52° C. For intrathecal (i.t.) injections 10 μg of AZD8055 was injected in a volume of 5 μL via a 30½-gauge needle. eFT508 for systemic injection was made up in 10% DMSO and 90% polypropylene glycol in water and injected intraperitoneally in a volume of 100 μl and adjusted based on the weight. Mice of both sexes were used in most experiments and no significant differences between sexes were noted for drug or genotype in any experiments. The experimenter was blinded to the genotype of the mice and drug condition in all experiments. 
     Conditioned Place Preference (CPP). The inventors used a modified conditioned place preference (CPP) procedure adapted from (Yang et al., 2014). A homemade CPP box was constructed with three chambers with equal levels of dim illumination. The box was made with one black and one white end chamber connected by a striped chamber. On day 1 of testing (Day 7 after the first injection of paclitaxel), each mouse was permitted to explore the striped and black (but not white) chambers. Conditioning trials occurred on days 2-4. Each morning, 0.1 ml of vehicle (saline) was injected intraperitoneally 10 min before confinement in the black chamber for 30 min. Three hours later, the same mouse was injected with retigabine (Alomones Labs, Jerusalem) (10 mg/kg in 0.1 ml of saline (5)). Ten min before confinement in the white chamber for 30 min. On day 5, each mouse was placed in the striped chamber with unrestricted access to all chambers for 10 min. Data are presented as the difference in time spent in the retigabine-paired (white) chamber minus time in the vehicle-paired (black) chamber during the drug-free day 5 test. 
     Co-Immunoprecipitation (Co-IP). DRGs were transferred to ice-cold polysome buffer (20 mM HEPES, 12 mM MgCl 2 , 150 mM KCl, 0.5 mM DTT and protease inhibitor and homogenized using a dounce homogenizer, and samples were centrifuged at 3,000×g for 10 min to prepare the post-nuclear fraction (S1). Then, 1% NP-40 and 30 mM DHPC were added S1 was centrifuged at 15,000×g for 15 min to generate a post-mitochondrial fraction (S20). A 200 μl sample of S20 was removed for use as Input, and 800 μl incubated with protein G-coated Dynabeads (Life Technologies) bound to anti-GFP antibodies (HtzGFP-19F7 and HtzGFP-19C8, Memorial Sloan Kettering Centre) for 3 hrs at room temperature with end-over-end mixing. Anti-GFP beads were washed with high salt buffer (20 mM HEPES, 5 mM MgCl 2 , 350 mM KCl, 1% NP-40) and proteins were eluted from all samples using RIPA buffer and heated up to 55° C. for 5 min. The samples were then run on a 10% SDS-PAGE gel and immunoblot for L10a. 
     Quantitative reverse transcriptase—polymerase chain reaction (qRT-PCR). Lumbar DRGs were isolated from 4 male mice per genotype and flash-frozen on dry ice and stored at −80° C. until ready to be processed. Tissues were homogenized using a pestle and total RNA was extracted using RNAqueous Total RNA Isolation kits (ThermoFisher Scientific). RNA was subsequently treated with TURBO DNase (ThermoFisher Scientific) according to the manufacturer&#39;s instructions. RNA concentration was measured on a NanoDrop 2000 (ThermoFisher Scientific). cDNA was synthesized using iScript Reverse Transcriptase (Bio-Rad). qRT-PCR was done using a Applied Biosystems Lightcycler 7500 real time PCR system using iTaq Universal SYBR Green Supermix (Bio-Rad) according to the manufacturer&#39;s instructions with 3 technical replicates per biological replicate (averages of the technical replicates per biological replicate are reported) using primers pairs: Gapdh forward 5′-GACAACTTTGGCATTGTGGA-3′ (SEQ ID NO: 9) &amp; Gapdh reverse 5′-CATCATACTTGGCAGGTTTCTC-3′ (SEQ ID NO: 10), Rraga forward 5′-ACGTCCGATTCTTGGGGAAC-3′ (SEQ ID NO: 11) &amp; Rraga reverse 5′-TACGGAAGATGTTGTCCCGC-3′ (SEQ ID NO: 12), Primers were made by Integrated DNA Technologies (Coralville, Iowa). Data were analyzed as 2 −ΔΔCr  and normalized as shown in Results. 
     Measurement of Protein Synthesis. Eight to 12-week-old wild-type and eiF4E S209A  mice were injected with puromycin (10 mg/kg via the intraperitoneal route, i.p.), and 1 hr later, DRGs were collected and processed for Western blotting using anti-puromycin monoclonal antibody (PMY-2A4, KeraFast). DRGs from mice injected with eFT508 (10 mg/kg i.p, injected 1 hr before puromycin) or vehicle were processed in parallel and used as controls. Protein synthesis was determined by measuring total lane signal from 250-15 KDa and subtracting unlabeled protein control. Signals were quantified using Image Lab (BioRad, Hercules, Calif.). 
     Immunohistochemistry (IHC). Animals were anesthetized with isoflurane (4%) and euthanized by decapitation and tissues were flash frozen in O.C.T. on dry ice. Spinal cords were pressure ejected using chilled 1× phosphate buffered saline (PBS). Sections of DRG (20 μm) were mounted onto SuperFrost Plus slides (Thermo Fisher Scientific, Waltham, Mass.) and fixed in ice-cold 10% formalin in 1×PBS for 45 min then subsequently washed 3 times for 5 min each in 1×PBS. Slides were then transferred to a solution for permeabilization made of 1×PBS with 0.2% Triton X-100 (Sigma Aldrich). After 30 min, slides were washed 3 times for 5 min each in 1×PBS. Tissues were blocked for at least 2 hrs in 1×PBS and 10% heat-inactivated normal goat serum. DRG slices were stained with peripherin and NF200 and Immunoreactivity was visualized following 1 hr incubation with goat anti-rabbit, goat anti-mouse, and goat anti-guinea pig Alexa-Fluor antibodies at room temperature. All IHC images are representations of samples taken from 3 animals per genotype. Images were taken using an Olympus FluoView 1200 confocal microscope. Analysis of images was done using ImageJ Version 1.48 for Apple OSX (National Institutes of Health, Bethesda, Md.). 
     Acute dissociation of mouse DRG neurons. Thirty mice were deeply anesthetized with isoflurane and the bilateral C4-5, T3-5, and L4-5 ganglia were surgically exposed and removed. The ganglia were placed in a flask containing trypsin (6.25 μg/mL, Hyclone) and type IA collagenase (0.25 mg/mL, Sigma-Aldrich) in DMEM and shaken for 50 min in a heated (37° C.) bath. After the cells were washed and mechanically dispersed with a fire polished Pasteur pipette, they were plated on poly-L-lysine-coated glass sheets and held in culture dishes with DMEM (10% FBS) until use within 6 hours after plating. 
     Whole-cell patch recording of spontaneous and evoked action potential in acutely dissociated mice DRG neurons. A previously described protocol was used (Li et al., 2017) for current-clamp recording. The internal solution contained 135 mM K-gluconate, 5 mM KCl, 5 mM Mg-ATP, 0.5 mM Na 2 GTP, 5 mM HEPES, 2 mM MgCl 2 , 5 mM EGTA, and 0.5 mM CaCl 2  adjusted to pH 7.4 with KOH and the bath ACSF solution. DRG neurons were held at 0 pA, and the action potential current threshold was evoked using a series of 300-ms depolarizing current injections in 10-pA steps from −50 pA. The current that induced the first action potential that was defined as 1× rheobase. Only neurons with a resting membrane potential of at least −40 mV, stable baseline recordings, and evoked spikes that overshot 0 mV were used for further experiments and analysis. The DRG neurons were then held at 0 pA to record spontaneous action potential for 5 min. The different times rheobase injections for 500 ms was applied to induce action potential spike-burst responses. Series resistance (Rs) was compensated to above 70% for the recorded DRG neurons. All recordings were made at room temperature. 
     Western blotting. Male and female mice were used for all Western blotting experiments and were sacrificed by decapitation following anesthesia and tissues were flash frozen on dry ice. Frozen tissues were homogenized in lysis buffer (50 mM Tris pH 7.4, 150 mM NaCl, 1 mM EDTA pH 8.0, and 1% Triton X-100) containing protease and phosphatase inhibitors (Sigma Aldrich), and homogenized using a pestle. In vitro studies consisted of cultured primary DRG neurons from˜4 week-old mice. Mice were anesthetized with isoflurane and euthanized by decapitation. DRGs were dissected and placed in chilled Hank&#39;s Balanced Salt Solution (HBSS, Invitrogen) until processed. DRGs were then digested in 1 mg/mL collagenase A (Roche) for 25 min at 37° C. then subsequently digested in a 1:1 mixture of 1 mg/mL collagenase D and papain (Roche) for 20 min at 37° C. DRGs were then triturated in a 1:1 mixture of 1 mg/mL trypsin inhibitor (Roche) and bovine serum albumin (BioPharm Laboratories, LLC), then filtered through a 70 μm cell strainer (Corning). Cells were pelleted, then resuspended in Dulbecco&#39;s Modified Eagle&#39;s Medium (DMEM)/F12+Glutamax (Life Technologies) containing 10% fetal bovine serum (FBS, Life Technologies), 1% penicillin and streptomycin, and 3 μg/ml 5-fluorouridine with 7 μg/ml uridine to inhibit mitosis of non-neuronal cells and distributed evenly in a 6-well plate coated with poly-D lysine (Becton Dickenson [BD]). DRG neurons were maintained in a 37° C. incubator containing 5% CO 2  with a media change every other day. On day 5, DRG neurons were treated as indicated in the results section, and cells were rinsed with chilled 1×PBS and harvested in lysis buffer containing protease and phosphatase inhibitors (Sigma-Aldrich), and then sonicated for 10 sec. To clear debris, samples were centrifuged at 14,000 rpm for 15 min at 4° C. Fifteen g of protein was loaded into each well and separated by a 10-12% SDS-PAGE gel. Proteins were transferred to a 0.45 μm PVDF membrane (Millipore, Billierca, Mass.) at 25 V overnight at 4° C. Subsequently, membranes were blocked with 5% non-fat dry milk (NFDM) in 1× Tris buffer solution containing Tween 20 (TTBS) for 3 hrs. Membranes were washed in 1×TTBS 3 times for 5 min each, then incubated with primary antibody overnight at 4° C. The following day, membranes were washed 3 times in 1×TTBS for 5 min each, then incubated with the corresponding secondary antibody at room temperature for 1 hr. Membranes were then washed with 1×TTBS 5 times for 5 min each. Signals were detected using Immobilon Western Chemiluminescent HRP substrate (Millipore). Bands were visualized using film (Kodak; Rochester, N.Y.) or with a Bio-Rad (Hercules, Calif.) ChemiDoc Touch. Membranes were stripped using Restore Western Blot Stripping buffer (Thermo Fisher Scientific), and re-probed with another antibody. Analysis was performed using Image Lab (Bio-Rad). 
     Motif analysis. For each gene in the upregulated translation gene list, the inventors created one 5′UTR sequence per gene. For each gene, this was done by first extracting 5′ UTR sequences from all isoforms based on the Gencode annotation. Isoforms with 5′ UTRs shorter than 20 bases, or with sequence that is part of an ORF in another isoform were discarded. The remaining isoforms were collapsed into a single sequence in order of their location in the genome, with overlapping regions present exactly once in the sequence. Based on the set of 5′UTRs, the motif finding tool MEME (world-wide-web at ncbi.nlm.nih.gov/pubmed/19458158) was used to identify motifs of length 6 to 12 bps, having at least 10 instances in the inventors&#39; set of sequences. The background sequence set was simulated by MEME based on a 0th order model of nucleotide composition based on the 5′UTRs to avoid motifs identified as a result of nucleotide compositional biases, the 3 statistically significantly enriched motifs identified are shown, along with the genes they occur in, as well as the e values (expected number of instances for the motif, statistical significance threshold for e-value used is 0.01). 
     Statistics. All data are represented as mean±standard error of the mean (SEM). All analysis was done using GraphPad Prism 6 v 6.0 for Mac OS X. For qPCR and WB experiments significant outliers (&gt;2 SD from the mean) were removed using one-sided Dixon&#39;s test at a significance (p&lt;0.05). Single comparisons were performed using Student&#39;s t-test and multiple comparisons were performed using a one-way ANOVA with post-hoc tests for between group comparisons. For behavioral experiments, two-way ANOVA (time×treatment) was used to measure effects across time between different groups. If significant effects were found by ANOVA, post hoc analyses were performed. Multiples comparisons between/within groups were performed using Bonferroni correction. Statistical results can be found in the figure legends. Electrophysiological recordings were analyzed using an unpaired t-test. DRG intracellular current injection neurophysiology data were analyzed with 2-way ANOVA (treatment×rheobase times) followed by Bonferroni post hoc tests (corrected P&lt;0.05). P&lt;0.05 was considered statistically significant. 
     Statistics for RNA sequencing. Differential expression analysis was performed using Matlab scripts. Briefly, TPM (transcripts per million) values were normalized to their 90 th  percentile to generate udTPM and the probability density function of the udTPM was used to set the threshold value for further analysis. Genes showing consistent expression above the set threshold across biological replicates were then used to generate lists of differential expressed genes. Standard t-test was first performed assuming unequal variances between experimental groups generating p-values for each gene as follow. A q-value for the i th  test was then calculated using Benjamini-Hochberg correction for multiple comparisons as follows: 
     
       
         
           
             
               Q 
               ⁢ 
               
                 value 
                 i 
               
             
             = 
             
               
                 p 
                 ⁢ 
                 
                   value 
                   i 
                 
                 × 
                 N 
               
               
                 rank 
                 
                   p 
                   ⁢ 
                   
                     value 
                     i 
                   
                 
               
             
           
         
       
     
     where N is the number of tests. Finally, the cumulative density function of the fold change was plotted and used to set the fold change for the input and TRAP fraction. Gene set enrichment analysis were performed with Enrichr (Kuleshov et al., 2016) using the Gene Ontology molecular function (2015) and biological process (2015) and the Reactome (2015) libraries. 
     Data and software availability. Raw RNA sequencing data are available through GEO number: GSE113941. All raw data and code is available upon request. 
     Results 
     To generate nociceptor-enriched ribosome-tagged mice, Nav1.8 cre  mice were crossed with Rosa26fs-TRAP (Zhou et al., 2013), to express eGFP fused to the ribosomal L10a protein in Nav1.8-positive neurons ( FIG. 1A ). To ensure the specificity of their approach, the inventors characterized expression of the transgene in the DRG. The inventors found that eGFP-L10a-positive neurons primarily co-localized with small diameter peripherin-positive neurons (81%±3.1) while a smaller proportion of eGFP-labelled neurons co-expressed NF200, a marker of large diameter neurons (40.1%±2.8) ( FIG. 1B ). The percentage of eGFP-L10a-positive neurons was equally distributed between non-peptidergic (86.7%±2.3) and peptidergic neurons (78.7%±2.7) ( FIG. 1C ). The inventors did not observe eGFP-L10a expression in non-neuronal cells in the DRG. Thus, this approach specifically labels sensory neurons including a substantial subset of neurons that are involved in nociception. They refer to these mice as Nav1.8-TRAP mice because they express tagged ribosomes specifically in the Nav1.8 population of DRG neurons. 
     The inventors then used Nav1.8-TRAP mice to preliminarily characterize the translatome of DRG neurons that express Nav1.8 using mRNAs isolated with immunoprecipitation (IP) of translating ribosomes (Heiman et al., 2014). First, the inventors determined that IP of eGFP-L10a from DRGs of control and Nav1.8-TRAP mouse strains yielded a specific IP of eGFP-L10a using eGFP antibodies (Extended  FIG. 1-1A ). The inventors also used IP combined with RT-qPCR for several mRNAs that are known to be enriched in nociceptors (Corder et al., 2017) to demonstrate integrity of the IP-mRNA complex (Extended  FIGS. 1-1B -D). These experiments demonstrate that the Nav1.8-TRAP approach can be used to tag ribosomes and capture mRNAs from nociceptive DRG neurons. 
     One outcome of these characterization experiments was the realization that a large amount of starting material is required to successfully isolate ribosome-associated mRNAs from Nav1.8-TRAP cells. The inventors determined that DRGs from cervical, thoracic and lumbar levels from 4 animals were minimally required for a single biological replicate for accurate TRAP-seq in this tissue. Since a goal of the experiments was to assess the nociceptor translatome using RNA sequencing (Nav1.8-TRAP-seq) in neuropathic pain, this prompted us to utilize a neuropathy model where all DRGs are affected by the treatment. Paclitaxel-induced CIPN is a common form of neuropathic pain with devastating consequences for patients (Ma et al., 2018). The common descriptions of this form of CIPN include a “stocking and glove” distribution (Seretny et al., 2014; Ma et al., 2018) questioning whether pathology is found at all DRG levels from the drug treatment. Given that this would have obvious consequences for the inventors&#39; experimental approach, the inventors sought to assess whether electrophysiological changes were found at all DRG levels in mice treated with paclitaxel. They treated Nav1.8-TRAP mice with the commonly used chemotherapeutic agent, paclitaxel (4 mg/kg) every other day, intraperitoneally, for a total of 8 days. They isolated cervical, thoracic and lumbar DRGs on day 10 after initiation of treatment from mice treated with vehicle or paclitaxel and performed patch clamp electrophysiology. Paclitaxel treatment caused spontaneous activity and increased nociceptor excitability ( FIGS. 2A-C ) at all DRG levels. 
     Having determined that paclitaxel affects nociceptors in all DRGs, the inventors pooled samples from 4 mice (2 male and 2 female) per treatment, per biological replicate for high-throughput sequencing. Subsequent behavioral and biochemical experiments were carried out in males and females (Table 3). On day 10 after the start of paclitaxel or vehicle treatment, the inventors collected eGFP-L10a IPs from Nav1.8-TRAP mice for RNA sequencing. From all biological replicates the inventors sequenced input mRNA, equivalent to the DRG transcriptome, and TRAP mRNAs associated with translating ribosomes in the Nav1.8 subset of DRG neurons (TRAP-seq). This approach allowed us to make comparisons of transcriptional and translational changes in response to paclitaxel in a cell-type specific fashion. The inventors observed strong correlation coefficients between biological replicates for the Input and TRAP samples demonstrating high reproducibility across experiments ( FIG. 3A ). Principal component analysis did not distinguish between treatment conditions in input samples whereas robust differences were found in the TRAP-seq samples suggesting that the key differences driving neuropathic pain generated by paclitaxel are happening at the translational level in Nav1.8-positive neurons ( FIGS. 3B-D ). 
     As an additional control for the specificity of this approach, the inventors analyzed a subset of genes that are known to be enriched in different cell populations in the DRG. This analysis demonstrated that TRAP-seq allowed the isolation of translating mRNAs in a cell-type specific manner. Neuronal mRNAs such as Calca (CGRPα), Calcb (CGRPβ) or Scn10a (Nav1.8) were enriched in TRAP fractions whereas glial markers (Aldh1l1, Gfap) and endothelial specific genes (Cldn5, Esam) were depleted. ( FIG. 4A ). For subsequent genome wide analysis, gene expression values (transcripts per million (TPMs)) were normalized to the 90 th  percentile for each biological replicate and the empirical probability density function (PDF) of the normalized expression level (upper decile (ud)TPM) was plotted for the input and TRAP fractions ( FIG. 4B ). The PDF function displayed 2 peaks ( FIG. 4B ) and the inflexion point was used to set the threshold expression values according to the sequencing depth. After further filtering, based on consistent expression among biological replicates, the inventors included a total of 8270 genes in the final analysis. The inventors then plotted the cumulative frequency distribution as a function of the log 2-fold change for each of these genes in vehicle-versus paclitaxel-treated biological replicates and the 95 th  percentile was used to set the threshold fold change values for the input and TRAP fractions ( FIG. 4C ). Input transcriptome analysis revealed that only 4 genes were up-regulated (Dpep2, Car3, Iah1 and Arhgef4) and 1 was down-regulated (Plcb3) in the DRG by paclitaxel treatment when looking at the whole transcriptome of the DRG at day 10 after treatment ( FIG. 4D  and Extended Table 4-1). This finding suggests that at this time point there are relatively few transcription changes induced by paclitaxel treatment in the whole DRG. In stark contrast, and consistent with the notion that transcriptional and translational changes are frequently decoupled (Liu et al., 2016), which is shown graphically for the inventors&#39; dataset in  FIG. 4E , the inventors detected 230 genes up-regulated ( FIG. 4D  and  FIG. 4E  and Extended Table 4-2) and 222 down regulated ( FIG. 4D  and  FIG. 4E  and Extended Table 4-3) by paclitaxel treatment in the TRAP-seq data set. These differences between transcriptome and translatome demonstrate the utility of the TRAP approach for identifying changes in gene expression that cannot be accounted for with traditional transcriptomic analysis. 
     The inventors then investigated what classes of genes were significantly enriched in the up and down regulated mRNA TRAP-seq dataset using the EnrichR tool (Kuleshov et al., 2016). First, validating that this approach can identify pathological changes in nociceptors that have already been linked to CIPN (Bennett et al., 2014), reactive oxygen species and mitochondrial dysregulation signatures were significantly enriched in the paclitaxel-treated TRAP-seq dataset. Likewise, several translationally up-regulated mRNAs found in the inventors&#39; dataset have already been identified in the CIPN literature using independent methods, such as caspase 6 (Berta et al., 2017). The inventors also found a significant enrichment of genes involved in the regulation of cap-dependent translation, the lysosomal complex and mTORC1 signaling ( FIG. 4F ). 
     Combining this dataset with single cell RNA sequencing from existing data sources (Usoskin et al., 2015; Hu et al., 2016) allowed the inventors to infer translation efficiencies (TEs) for all mRNAs translated in Nav1.8 neurons creating a rich resource for understanding steady state translation of mRNAs expressed in nociceptors (world-wide-web at utdallas.edu/bbs/painneurosciencelab/sensoryomics/cipntrap/browse.html). They strictly limited themselves to calculating TEs for mRNAs that are found in the Nav1.8 population of neurons as defined by single cell RNA sequencing because high expression in other cell types would bias TEs toward less translation efficiency because the translating ribosome associated mRNA sequencing is restricted to the Nav1.8 population ( FIG. 5A ). The inventors examined families of genes for any systematic differences in TEs for mRNAs expressed in Nav1.8-positive neurons (e.g., ion channels, G-protein coupled receptors and kinases). Interestingly the inventors observed that ion channels and GPCRs tended to show higher TEs compared to other families such as kinases, RNA-binding proteins or transcription factors. When, the inventors looked at specific genes in each family they found a clear increase in TE for Trpv1 ( FIG. 5B ), which has been shown to be up-regulated after paclitaxel (Li et al., 2015) and translationally upregulated by p38 signaling in the DRG in an inflammatory pain model (Ji et al., 2002). Also, they observed a decrease in TE for Chrna6 associated with an increase in TE for P2rx2 after CIPN ( FIG. 5B ). Interestingly, previous studies have demonstrated that Chrna6 is a negative regulator of P2rx2 and that Chrna6 mutations that decrease this functional inhibition are correlated with chronic pain (Wieskopf et al., 2015). Therefore, decreased Chrna6 expression in CIPN may sensitize nociceptors to ATP released from a variety of different sources via enhanced function of P2X2/P2X3 receptors. 
     Having established alterations in the nociceptor translatome with paclitaxel treatment, the inventors then sought to examine whether there were motifs in the 5′ untranslated regions (UTRs) of mRNAs up-regulated after CIPN. They found a clear enrichment in 3 motifs. Most prominent among them was a TOP-like element ( FIG. 6 ). TOP elements are found in the 5′UTRs of mRNAs that are regulated by mTORC1 signaling (Thoreen et al., 2012). This finding is consistent with the inventors&#39; gene ontology results ( FIG. 4F ) and reinforces the concept that mTORC1-regulated mRNA translation is a critical component of neuronal plasticity after paclitaxel treatment. They also found an enrichment in an AG-rich motif with unknown function and a G-quartet-like motif ( FIG. 6 ). The G-quartet motif suggests translation control by the RNA helicase, eIF4A (Wolfe et al., 2014). Interestingly, a specific eIF4A isoform, eIF4a3, was found as being highly translated after CIPN (Table 5) and Mtor, which was also translationally increased by CIPN ( FIG. 7A ), contains a G-quartet-like motif in its 5′UTR. This suggests that the RNA helicase eIF4A could regulate the translation of the Mtor mRNA. 
     The inventors then turned to biochemical methods to validate selected TRAP-seq results. They confirmed changes in steady state protein levels with paclitaxel treatment for proteins including mTOR ( FIG. 7B ), and Esyt1 (Extended  FIGS. 7-1A -C). The concordance between measurements indicates that TRAP-seq can reliably predict increases in protein expression in DRG after CIPN. Based on increased mTOR protein levels the inventors also examined downstream and associated targets of mTOR where they noted increases in p-4EBP1 expression ( FIG. 7B ) but no differences in phosphorylation or total protein levels for ERK, AKT or, surprisingly, ribosomal protein S6 (Extended  FIGS. 7-2A -B). They also found that eIF4E phosphorylation was increased with paclitaxel treatment ( FIG. 7B ). These findings suggest a selective increase in signaling via a subset of proteins that control translation of genes involved in neuronal plasticity (Gkogkas et al., 2014; Moy et al., 2017). To test this hypothesis, the inventors asked if mTOR inhibition or genetic loss of the phosphorylation site for MNK on the cap-binding protein eIF4E (eIF4E S209A ) would impair CIPN. 
     The inventors used the ATP competitive mTORC1/2 inhibitor AZD8055 to examine the influence of mTOR inhibition on paclitaxel-induced pain. While a robust reduction in mechanical hypersensitivity occurred with the first intrathecal injection of AZD8055, the magnitude of this effect was decreased upon subsequent treatments ( FIG. 7C ). The inventors attribute this rapid onset, tolerance-like effect to the known phenomena of feedback signaling in the mTOR pathway (Melemedjian et al., 2013; Soares et al., 2015). Although they see clear signs of augmented mTORC1 signaling in this CIPN model, this limited efficacy with repeated dosing makes mTORC1 a less attractive target for therapeutic intervention in CIPN. 
     The inventors then turned to a genetic approach to examine the possibility of targeting MNK-eIF4E signaling in CIPN. The inventors&#39; previous work on this target suggests a key role in certain types of pain sensitization but effects in the spared nerve injury model of neuropathic pain were not as compelling (Moy et al., 2017; Moy et al., 2018). Given that the TRAP-seq data points to a clear role of altered translation regulation signaling in nociceptors in CIPN, the inventors hypothesized that MNK-eIF4E signaling may play a crucial role in this model. In support of this hypothesis, mice harboring a mutation at the MNK phosphorylation site on eIF4E (eIF4E S209A  mice) treated with paclitaxel showed decreased mechanical ( FIG. 7D ) and thermal hypersensitivity ( FIG. 7E ) compared to their WT littermates. While this suggests decreased CIPN pain in the absence of eIF4E phosphorylation, the inventors determined this empirically using the conditioned place preference (CPP) paradigm (King et al., 2009) with retigabine as the conditioning agent, as has been described previously (Yang et al., 2014). Importantly, WT mice had a clear preference for the retigabine-paired chamber demonstrating relief of spontaneous pain. On the other hand, eIF4E S209A  mice showed no preference for the retigabine-paired chamber. This indicates an absence of spontaneous pain in these mice ( FIG. 7F ). 
     Given the strong behavioral phenotype of eIF4E S209A  mice in CIPN, the inventors turned to a clinical candidate drug, eFT508 (Reich et al., 2018), that is a potent MNK1/2 inhibitor and blocks eIF4E phosphorylation in vitro and in vivo. They used this compound to examine whether targeted blockade of the MNK-eIF4E signalling axis inhibits and/or reverses paclitaxel-induced pain. The inventors first tested the effect of eFT508 on cultured DRGs neurons. Treatment with eFT508 reduced eIF4E phosphorylation by 90% ( FIG. 8A ). Neither loss of eIF4E phosphorylation in eIF4E S209A  mice nor eFT508 treatment reduced bulk translation in the DRG in vivo (Extended  FIGS. 8-1A -B). This parallels previous findings that Mnk1/2 signaling to eIF4E phosphorylation controls the translation of a specific subset of mRNAs (Gkogkas et al., 2014; Silva Amorim et al., 2018). Paclitaxel-treated mice given eFT508 (10 mg/kg) after full development of CIPN showed a reversal of mechanical ( FIG. 8B ) and thermal hypersensitivity ( FIG. 8C ). The inventors tested the specificity of the effect of eFT508 with dosing to WT and eIF4E S209A  mice. The also used this experiment to assess the potential development of tolerance to repeated dosing of eFT508. eFT508 (1 mg/kg) produced robust relief of mechanical hypersensitivity at this lower dose, and the effect was completely absent in eIF4E S209A  mice demonstrating the specificity ( FIG. 8D ). No signs of tolerance were observed in this experiment. Consistent with a key role for this signaling pathway in nociceptors, 80% of eGFP-L10a+ neurons exhibited strong p-eIF4E signal ( FIG. 8F  and  FIG. 8G ). No signal for the p-eIF4E antibody was observed in the eIF4E S209A  mice, indicative of the specificity of the antibody (Extended  FIG. 8-2 ). 
     These findings suggest a link between increased translation of mTOR complex proteins and MNK-mediated eIF4E phosphorylation as a causative factor in paclitaxel-induced neuropathy. However, mechanisms through which eIF4E phosphorylation might control mTOR signaling are not established. A possible connection between these parallel pathways (Richter and Sonenberg, 2005) is reciprocal translational regulation of mRNAs that encode signaling factors of the RagA-Ragulator complex mediated by MNK-dependent eIF4E phosphorylation. The RagA-Ragulator complex controls mTORC1 activity in response to amino acid flux across the lysosomal membrane (Sancak et al., 2010; Wolfson and Sabatini, 2017) and requires activity of the RagA, but not the RagB, GTPase (Efeyan et al., 2013; Efeyan et al., 2014). RagA exists in a complex with RagC while RagB forms a complex with RagD (Efeyan et al., 2013; Efeyan et al., 2014). The TRAP-seq comparison demonstrates that genes corresponding to the components of the RagA-Ragulator-mTORC1 complex are preferentially translated after paclitaxel treatment ( FIG. 9A ). In particular, there was a 3.5-fold increase in the number of normalized reads mapping to the Rraga mRNA, encoding the RagA GTPase amino acid sensor for mTORC1 ( FIGS. 9B-C ). 
     Other components of the RagA-Ragulator-mTORC1 complex including Lamtor5, Lamp2, Atp6v1a, Fkbp1a, Fkbp1b, Ywhaq and Mtor also showed a consistent increase in translation with paclitaxel treatment ( FIGS. 9A-D ). Interestingly, known negative regulators of mTORC1 including Akt1s1, encoding PRAS40, and the γ2 subunit of AMPK (Prkag2) showed decrease translation efficiency ( FIG. 9A  and  FIG. 9D ). These findings indicate a fundamental change in the mTORC1 signaling network in Nav1.8 expressing neurons in CIPN that could be indicative of altered protein biosynthesis or related to other functions of mTORC1, such as lipid homeostasis (Saxton and Sabatini, 2017). Given the behavioral observations with eIF4E S209A  mice, the effect of eFT508 in CIPN, the inventors further focused on translation regulation mechanisms as the key causative factor in paclitaxel-induced neuropathic pain. 
     The inventors validated that RagA protein levels were increased in DRG by paclitaxel treatment ( FIG. 9E ). They also found that RagA protein expression was significantly lower in eIF4E S209A  mice compared to WT mice, although mRNA levels were equal in the two strains of mice ( FIG. 9F ). These findings suggested that eIF4E phosphorylation controls RagA translation in CIPN. To test this, the inventors treated eIF4E S209A  mice with paclitaxel and failed to observe an effect from paclitaxel on RagA protein in DRGs from these mice ( FIG. 9G ). Moreover, the MNK1/2 inhibitor eFT508 decreased RagA protein levels both in cultured DRG neurons ( FIG. 10A ) and in vivo ( FIG. 10B ). 4EBP1 phosphorylation was also decreased in the DRG of eFT508-treated mice linking altered RagA translation to downstream mTORC1 activity ( FIG. 10B ). 
     Two MNK isoforms are known to phosphorylate eIF4E, however, MNK2 shows constitutive kinase activity while MNK1 is induced by cellular stimuli (Ueda et al., 2004). The inventors reasoned that MNK1-mediated phosphorylation of eIF4E might control RagA protein expression and regulate paclitaxel-induced CIPN. MNK1 −/−  mice showed a 40% reduction in RagA protein levels in DRG compared to WT and a significant reduction in eIF4E phosphorylation while upstream signaling pathways were unchanged ( FIG. 10C , Extended  FIG. 10-1 ). When the inventors co-examined eIF4E phosphorylation with RagA expression in mouse DRG, they observed correlated expression for RagA and p-eIF4E. This was increased by paclitaxel treatment and strongly suppressed by eFT508 with an 80% correlation coefficient indicating that increases or decreases in eIF4E phosphorylation can reliably influence the level of RagA translation ( FIG. 10D ). The inventors then assessed paclitaxel-induced CIPN in MNK1 −/−  mice and observed a profound deficit in the development of mechanical hypersensitivity ( FIG. 10E ) consistent with observations in eIF4E S209A  mice. Finally, the inventors examined whether transient MNK1/2 inhibition could decrease spontaneous activity in DRG neurons taken from paclitaxel treated mice. These neurons showed robust spontaneous activity that was strongly suppressed by eFT508 treatment ( FIG. 10F ). Approximately 20 min of treatment with eFT508 was needed to reduce spontaneous activity in most neurons and this effect was reversible, indicating that eFT508 is not toxic to DRG neurons in vitro. 
     Discussion 
     The inventors used Nav1.8-positive neuronal translational profiling in the paclitaxel model of CIPN pain to comprehensively characterize the nociceptor translatome in mice with and without neuropathic pain. The data provide a unique resource for probing translational control in pain plasticity and reveal high quality targets for the potential generation of disease modifying therapies for a currently intractable disease (Seretny et al., 2014; Ma et al., 2018). This work demonstrates broad changes in regulation of the mTORC1 and MNK-eIF4E signaling network in CIPN that reveals a complex interplay between eIF4E-mediated translation control of RragA mRNA and mTORC1 function ( FIG. 10G ). These experiments support a model wherein MNK1-mediated phosphorylation of eIF4E controls the translation of RragA mRNA creating a previously unknown link between these distinct signaling pathways. In the context of CIPN, increased eIF4E phosphorylation leads to enhanced Rraga mRNA translation and RagA protein levels driving mTORC1 activation and neuropathic pain. These findings demonstrate that MNK and eIF4E phosphorylation can be targeted genetically or with eFT508 (also known as Tomivosertib), a drug in late phase clinical trials—serendipitously for cancer—as a means to prevent or reverse CIPN pain. These discoveries can potentially be used to enhance the efficacy of cancer chemotherapy treatment by reducing the primary dose-limiting side effect of chemotherapy (Seretny et al., 2014; Ma et al., 2018). These findings could also improve the quality of life of people who suffer from CIPN that continues after treatment since the inventors have shown that blocking MNK-eIF4E signaling plays a role in initiating and maintaining CIPN. 
     The global profile the inventors report of translation provides an independent confirmation for a variety of findings in the CIPN and chronic pain literature. This speaks to the powerful nature of the use of the TRAP-seq technique to gain insight into disease mechanisms in a cell-type specific fashion. In the inventors&#39; gene ontology analysis, they identified both reactive oxygen signaling (Doyle et al., 2012; Duggett et al., 2016) and mitochondrial function as key changes occurring in CIPN. Both of these are well known mechanisms of CIPN with a great deal of recent focus in the field placed on mitochondrial dysfunction (Flatters and Bennett, 2006; Flatters, 2015; Griffiths and Flatters, 2015). This work provides a comprehensive snapshot of changes in translation of mRNAs that regulate mitochondrial function in CIPN. The inventors also confirm the upregulation of translation of several mRNAs that have also been linked to functional pathology in CIPN. Chief among these are Trpv1 (Li et al., 2015), an ion channel well known to contribute to many different types of pain, and caspase 6, an enzyme that has been linked to many different types of chronic pain where it seems to regulate tumor necrosis factor α signaling via an extracellular mechanism (Berta et al., 2014). The TRAP-seq findings independently support the conclusion that enhanced nociceptor translation of caspase 6 contributes to CIPN (Berta et al., 2017). 
     CIPN has traditionally been viewed as a length-dependent neuropathy that primarily affects the hands and feet, mainly in the glabrous skin areas (Seretny et al., 2014). There is support for distinct mechanisms of altered excitability in nociceptors that innervate glabrous skin caused by chemotherapy treatment that potentially explain this relatively selective pain phenotype (Yilmaz and Gold, 2016). However, several recent clinical studies have demonstrated that pain is more widespread in CIPN, although usually more intense in the hands and feet (Eckhoff et al., 2015; Ventzel et al., 2016). These studies also indicate that this widespread pain is persistent in many people who continue to suffer from CIPN more than a year after cessation of treatment (Eckhoff et al., 2015). The inventors examined DRG neuron excitability in mice treated with paclitaxel at all DRG levels, including thoracic DRGs that innervate the trunk. Consistent with the clinical studies cited above, they found that DRG neuron excitability is increased at all vertebral levels with paclitaxel treatment. Moreover, the TRAP-seq data with DRGs taken from all levels showed strong changes in translation regulation in DRG nociceptors. If only a subset of DRG neurons were influenced by paclitaxel treatment alteration in ribosome bound mRNAs in CIPN would likely not have been detectable with the inventors&#39; experimental approach. These studies were undertaken soon after the cessation of paclitaxel treatment. In future work it will be interesting to assess whether these electrophysiological and translatome changes persist at later stages of CIPN. Nevertheless, this work supports the conclusion that the effects of chemotherapy on DRG neurons are widespread and not limited to the longest axons. 
     Translation regulation is a key contributor to chronic pain (Jimenez-Diaz et al., 2008; Geranton et al., 2009; Obara et al., 2012; Moy et al., 2017; Barragan-Iglesias et al., 2018; Khoutorsky and Price, 2018). These findings offer unprecedented insight into how translation regulation signaling is enhanced in Nav1.8-positive neurons in neuropathic pain. Previous studies have shown that peripheral nerve injury enhances mTORC1 signaling in sensory neurons (Geranton et al., 2009; Melemedjian O K, 2011), and a very recent study demonstrates that local translation of the Mtor mRNA is a key regulatory of the intrinsic neuronal response to DRG neuron axonal injury (Terenzio et al., 2018). The inventors&#39; previous work demonstrated that MNK-eIF4E signaling is important for many types of pain sensitization (Moy et al., 2017; Moy et al., 2018). However, in the spared nerve injury model of neuropathic pain, MNK-eIF4E signaling primarily contributes to cold hypersensitivity with a substantially smaller effect on mechanical hypersensitivity (Moy et al., 2017). Here the inventors show a strong impact of MNK-eIF4E signaling on mechanical and heat hypersensitivity. Additionally, they show a contribution to spontaneous pain, a clinically relevant consideration that can be readily reversed in the paclitaxel model of CIPN. A key aspect of the current work is the demonstration of an integrated signaling network of mTORC1 and MNK-eIF4E that is persistently activated in CIPN. An important remaining question is how this signaling network is driven. The inventors discovered a large number of translationally upregulated mRNAs that compose the interface of mTORC1 signaling with the lysosome (Efeyan et al., 2012; Bar-Peled and Sabatini, 2014) ( FIG. 10G ). This identifies lysosomal amino acid efflux as a likely contributor to CIPN and demonstrates how this fundamental cellular process is linked to changes in gene expression that drive increased DRG neuron excitability in this form of neuropathic pain. Importantly, the inventors identify many ion channels (TRPV1, a6 nicotinic receptors (down-regulated), P2X2), GPCRs (Mrgprd) and enzymes (caspase 6) that are translationally regulated in Nav1.8-positive neurons by paclitaxel treatment providing a link between enhanced mRNA translation and neuronal excitability. 
     The inventors&#39; electrophysiological findings demonstrate that eFT508 suppresses nociceptor spontaneous activity in DRG neurons isolated from mice treated with paclitaxel within approximately 20 min. Nociceptor spontaneous activity has been linked to spontaneous pain, which is a key behavioral manifestation of neuropathic pain in humans and preclinical models (Price and Gold, 2018). Consistent with their electrophysiological findings, the inventors did not observe signs of CIPN-induced spontaneous pain using the CPP model in mice lacking eIF4E phosphorylation. The rapid onset of effect of eFT508 in electrophysiological and behavioral experiments could point to an effect of MNK signaling on factors other than eIF4E phosphorylation. However, the inventors do not think this is the case because there were no additional effects of eFT508 when it was given to eIF4E phosphorylation mutant mice. The inventors&#39; findings suggest that nociceptor excitability is controlled by the translation of a subset of mRNAs that encode proteins with short half-lives. The inventors hypothesize that these plasticity-mediating proteins may be scaffolding proteins that regulate rapid trafficking of ion channels to and from the cell membrane (Jeske, 2012; 2015). Identifying these proteins will be a goal moving ahead. Importantly, the TRAP-seq datasets identify a number of candidates including Arl6, Dlg2 and Ywhaq genes. 
     The key finding emerging from this work is that inhibiting MNK-eIF4E signaling disrupts a novel translational circuit driving enhanced mTORC1 activity and nociceptor excitability in neuropathic pain. The inventors propose a model wherein this circuit is driven by MNK1-eIF4E mediated translation of Rraga mRNA. Since MNK inhibitors are in phase II clinical trials (Reich et al., 2018), this could provide a path for rapid development of a neuropathic pain therapeutic. 
     
       
         
           
               
             
               
                 TABLE 1 
               
             
            
               
                   
               
               
                 Details of each biological replicate showing  
               
               
                 the next generation assay type, input/immunoprecipitation  
               
               
                 pairing between replicates, number of mice used and their sex,  
               
               
                 and alignment quality statistics (number of mapped reads and  
               
               
                 number of reads mapping to many (&gt;20) places in the genome) 
               
            
           
           
               
               
               
               
               
            
               
                   
                   
                   
                   
                 Alignment quality 
               
            
           
           
               
               
               
               
            
               
                   
                 Biosample details 
                   
                 High 
               
            
           
           
               
               
               
               
               
               
            
               
                   
                   
                 Bio+ 
                   
                 No  
                 ambiguity 
               
               
                 Internal  
                   
                 sample 
                 Animal 
                 of reads 
                 mapping 
               
               
                 ID 
                 Library type 
                 # 
                 makeup 
                 mapped 
                 (&gt;20) 
               
               
                   
               
            
           
           
               
               
               
               
               
               
            
               
                 IN2 
                 Vehicle Input 
                 1 
                 2M + 2F 
                 38,427,220 
                 220,558 
               
               
                 IN3 
                 Vehicle Input 
                 2 
                 2M + 2F 
                 23,854,278 
                 134,944 
               
               
                 IN5 
                 Vehicle Input 
                 3 
                 2M + 2F 
                 37,406,138 
                 304,324 
               
               
                 IN6 
                 Vehicle Input 
                 4 
                 2M + 2F 
                 18,419,246 
                 71,160 
               
               
                 IP2 
                 Vehicle IP 
                 1 
                 2M + 2F 
                 25,953,906 
                 137,013 
               
               
                 IP3 
                 Vehicle IP 
                 2 
                 2M + 2F 
                 34,757,473 
                 207,750 
               
               
                 IP5 
                 Vehicle IP 
                 3 
                 2M + 2F 
                 27,206,084 
                 185,472 
               
               
                 IP6 
                 Vehicle IP 
                 4 
                 2M + 2F 
                 20,008,549 
                 125,338 
               
               
                 IN1_ 
                 Paclitaxel  
                 5 
                 2M + 2F 
                 29,990,168 
                 287,912 
               
               
                 PAC 
                 treated input 
                   
                   
                   
                   
               
               
                 IN3_ 
                 Paclitaxel  
                 6 
                 2M + 2F 
                 37,060,526 
                 316,835 
               
               
                 PAC 
                 treated input 
                   
                   
                   
                   
               
               
                 IN4 +  
                 Paclitaxel  
                 7 
                 6M + 2F 
                 44,559,848 
                 457,455 
               
               
                 7_PAC 
                 treated input 
                   
                   
                   
                   
               
               
                 IN8_ 
                 Paclitaxel  
                 8 
                 2M + 2F 
                 21,387,544 
                 166,589 
               
               
                 PAC 
                 treated input 
                   
                   
                   
                   
               
               
                 IP1_ 
                 Paclitaxel 
                 5 
                 2M + 2F 
                 19,369,857 
                 126,590 
               
               
                 PAC 
                 treated IP 
                   
                   
                   
                   
               
               
                 IP3_ 
                 Paclitaxel 
                 6 
                 2M + 2F 
                 43,695,404 
                 288,640 
               
               
                 PAC 
                 treated IP 
                   
                   
                   
                   
               
               
                 IP4 +  
                 Paclitaxel 
                 7 
                 6M + 2F 
                 34,048,549 
                 382,070 
               
               
                 7_PAC 
                 treated IP 
                   
                   
                   
                   
               
               
                 IP8_ 
                 Paclitaxel 
                 8 
                 2M + 2F 
                 20,293,108 
                 188,669 
               
               
                 PAC 
                 treated IP 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 2 
               
             
            
               
                   
               
               
                 Antibodies and chemicals used in the study 
               
            
           
           
               
               
               
            
               
                 Reagent or Ressources 
                 Source 
                 Identifier 
               
               
                   
               
               
                 Antibodies 
                   
                   
               
               
                 Anti-Akt produced in rabbit 
                 Cell Signalling 
                 9272 
               
               
                 Anti-p-Akt produced in rabbit 
                 Cell Signalling 
                 4060 
               
               
                 Anti-mTOR produced in rabbit 
                 Cell Signalling 
                 2972 
               
               
                 Anti-p-mTOR produced in rabbit 
                 Cell Signalling 
                 5536 
               
               
                 Anti-p-eiF4E produced in rabbit 
                 Cell Signalling 
                 9741 
               
               
                 Anti-eiF4E produced in rabbit 
                 Cell Signalling 
                 9742 
               
               
                 Anti-p-4EBP1 produced in rabbit 
                 Cell Signalling 
                 2855 
               
               
                 Anti-4EBP1 produced in rabbit 
                 Cell Signalling 
                 9452 
               
               
                 Anti-ERK 1/2 produced in rabbit 
                 Cell Signalling 
                 4695 
               
               
                 Anti-p-ERK 1/2 produced in rabbit 
                 Cell Signalling 
                 4366 
               
               
                 Anti-S6 produced in rabbit 
                 Cell Signalling 
                 2217 
               
               
                 Anti-p-S6 produced in rabbit 
                 Cell Signalling 
                 5364 
               
               
                 Anti-RagA produced in rabbit 
                 Cell Signalling 
                 4357 
               
               
                 Anti-RPL10a produced in rabbit 
                 Abcam 
                 Ab174318 
               
               
                 Anti-Atp6v1a produced in rabbit 
                 Thermo Fisher 
                 PAS-29191 
               
               
                 Anti-CGRP produced in rabbit 
                 Peninsula Laboratories 
                 S3006.0001 
               
               
                 Anti-Peripherin produced in rabbit 
                 Sigma-Aldrich 
                 5AB4502419 
               
               
                 Isolectin B4 
                 Thermo Fisher 
                 I21413 
               
               
                 Anti-NF200 produced in mouse 
                 Sigma-Aldrich 
                 N5389 
               
               
                 Anti-p-eIF4E produced in rabbit 
                 Abcam 
                 AB76256 
               
               
                 Htz-GFP produced in mouse 
                 Memorial Sloan Kettering 
                 19F8 
               
               
                 Htz-GFP produced in mouse 
                 Memorial Sloan Kettering 
                 19C7 
               
               
                 Anti-rabbit IgG, HRP linked antibody 
                 Jacskon Laboratories 
                 111-035-003 
               
               
                 Anti-mouse IgG, HRP linked antibody 
                 Jacskon Laboratories 
                 115-035-003 
               
               
                 Anti- Puromycin 
                 DSHB 
                 PMY2A4 
               
               
                 Chemicals, Drugs 
                   
                   
               
               
                 AZD8055 
                 LC Laboratories 
                 A-2345 
               
               
                 eFT508 
                 eFFECTOR 
                 MTA 
               
               
                 Paclitaxel 
                 Sigma-Aldrich 
                 Y0000598 
               
               
                 Retigabine 
                 Alomone Labs 
                 R-100 
               
               
                 Emetine 
                 Sigma-Aldrich 
                 E-2375 
               
               
                 Cycloheximide 
                 Sigma-Aldrich 
                 C7698 
               
               
                 Commercial Assays 
                   
                   
               
               
                 Direct-zol RNA MicroPrep 
                 Zymo Research 
                 R2062 
               
               
                 Quantseq 3&#39; mRNA-Seq library kit 
                 Lexogen 
                 047 
               
               
                 RiboCop rRNA depletion kit 
                 Lexogen 
                 042.08 
               
               
                 Qubit 
                 Lexogen 
                 Q32854 
               
               
                 iScript cDNA synthesis kit 
                 Bio-Rad 
                 1708890 
               
               
                 SybR Green Supermix 
                 Bio-Rad 
                 1725270 
               
               
                 Clarity ECL Substrate 
                 Bio-Rad 
                   
               
               
                 Immobilion Western Chemiluminescent 
                 Millipore 
                 WBKLS0500 
               
               
                 Deposited Data 
                   
                   
               
               
                 RNA sequencing data 
                 This paper 
                 GEO 
               
               
                 Experimental Model: Organism/Strains 
                   
                   
               
               
                 Rosa26 fsTRAP   
                 Jackson Laboratory 
                 022367 
               
               
                 Nav1.8 Cre   
                 EMMA Infrafrontier 
                 EM04582 
               
               
                 eIF4E S209A   
                 Nahum Sonenberg 
                 N/A 
               
               
                 Mnk1 -/-   
                 Nahum Sonenberg 
                 N/A 
               
               
                 Oligonucleotides 
                   
                   
               
               
                 GACAACTTTGGCATTGTGGA 
                 IDT 
                 GAPDH-F 
               
               
                 (SEQ ID NO: 9) 
                   
                   
               
               
                 CATCATACTTGGCAGGTTTCTC 
                 IDT 
                 GAPDH-R 
               
               
                 (SEQ ID NO: 10) 
                   
                   
               
               
                 ACGTCCGATTCTTGGGGAAC 
                 IDT 
                 Rraga -F 
               
               
                 (SEQ ID NO: 11) 
                   
                   
               
               
                 TACGGAAGATGTTGTCCCGC 
                 IDT 
                 Rraga -R 
               
               
                 (SEQ ID NO: 12) 
                   
                   
               
               
                 Software and Algorythms 
                   
                   
               
               
                 GraphPad Prism v.6 
                 GraphPad Software 
                 N/A 
               
               
                 TopHat 2.1.1 with Bowtie 2.2.9 
                 Linux 
                 N/A 
               
               
                 GRCm38.p4 (genecode annotation .vM10) 
                 Linux 
                 N/A 
               
               
                 Samtools 1.3.1 
                 Linux 
                 N/A 
               
               
                 Cufflinks 2.2.1 
                 Linux 
                 N/A 
               
               
                 FastQ 0.11.5 
                 Linux 
                 N/A 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 3 
               
             
            
               
                   
               
               
                 Sex of animals by genotype in behavioral experiments in this study. 
               
            
           
           
               
               
               
               
               
               
               
            
               
                 Test 
                 WT 
                 WT 
                 elF4E s209A   
                 elF4E s209A   
                 MNK −1-   
                 MNK −1-   
               
               
                   
                 Males 
                 Females 
                 Males 
                 Females 
                 Males 
                 Females 
               
               
                   
               
               
                 von Frey 
                 4 
                 2 
                 2 
                 5 
                 — 
                 — 
               
               
                 (Fig. 3C) 
                   
                   
                   
                   
                   
                   
               
               
                 von Frey 
                 6 
                 — 
                 6 
                 — 
                 — 
                 — 
               
               
                 (Fig 3D) 
                   
                   
                   
                   
                   
                   
               
               
                 Hot plate 
                 2 
                 4 
                 3 
                 3 
                 — 
                 — 
               
               
                 (Fig. 3E) 
                   
                   
                   
                   
                   
                   
               
               
                 CPP (Fig. 
                 10 
                 5 
                 8 
                 7 
                 — 
                 — 
               
               
                 3F) 
                   
                   
                   
                   
                   
                   
               
               
                 von Frey 
                 5 
                 7 
                   
                   
                 — 
                 — 
               
               
                 (Fig 4B) 
                   
                   
                   
                   
                   
                   
               
               
                 Hot plate 
                 5 
                 7 
                 — 
                 — 
                 — 
                 — 
               
               
                 (Fig. 4C) 
                   
                   
                   
                   
                   
                   
               
               
                 von Frey 
                 — 
                 6 
                   
                   
                 2 
                 3 
               
               
                 (Fig. 5E) 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 Extended TABLE 4-1 
               
             
            
               
                   
               
               
                 5 differentially expressed genes identified genes in the 
               
               
                 transcriptome after CIPN related to the data shown in FIG. 1F and 1G 
               
            
           
           
               
               
               
               
            
               
                 Gene name 
                 Log2FC 
                 p-value 
                 FDR 
               
               
                   
               
            
           
           
               
               
               
               
            
               
                 Dpep2 
                 1.982358644 
                 0.001354256 
                 0.147364404 
               
               
                 Car3 
                 1.233007165 
                 0.001452244 
                 0.14827231 
               
               
                 Iah1 
                 1.605613252 
                 0.001345709 
                 0.148386889 
               
               
                 Arhgef4 
                 1.001632902 
                 0.001388384 
                 0.149116006 
               
               
                 Plcb3 
                 −0.772132393 
                 0.001289632 
                 0.148128566 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
            
               
                   
               
               
                 Extended Table 4−2: 230 identified genes significantly upregulated in Nav1.8-TRAP 
               
               
                 after paclitaxel related to the data shown in Figure 1E. 1F and 1G (Log2 Fold Change 
               
               
                 (FC) &gt;1.7) 
               
            
           
           
               
               
               
               
               
               
               
               
            
               
                   
                   
                   
                   
                 Gene 
                   
                   
                   
               
               
                 Gene name 
                 Log2FC 
                 p-value 
                 FDR 
                 name 
                 Log2FC 
                 p-value 
                 FDR 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
            
               
                 2010107E04Ri 
                 2.11964072 
                 0.00073768 
                   
                   
                 7.25744564 
                   
                 0.08197525 
               
               
                 k 
                 6 
                 3 
                 0.08134185 
                 Mok 
                 3 
                 0.00071369 
                 6 
               
               
                 2310039H08R 
                 5.14270083 
                 0.00066146 
                 0.08547341 
                   
                 3.46529353 
                 0.00419475 
                 0.09201758 
               
               
                 ik 
                 8 
                 3 
                 5 
                 Mpp4 
                 2 
                 6 
                 4 
               
               
                 2700094K13R1 
                   
                 0.00281463 
                 0.08850574 
                   
                 1.72999924 
                 0.00256274 
                 0.08757802 
               
               
                 k 
                 3.30223529 
                 3 
                 5 
                 Mpv17 
                 6 
                 3 
                 7 
               
               
                 4833439L19R1 
                 2.13150191 
                   
                 0.13744971 
                   
                 1.68309886 
                 0.00170538 
                 0.08345287 
               
               
                 k 
                 9 
                 0.01547348 
                 2 
                 Mrpl18 
                 1 
                 5 
                 5 
               
               
                 Aars2 
                 2.41755279 
                 0.00793134 
                 0.10986971 
                   
                 2.37783917 
                 0.01257151 
                 0.12883077 
               
               
                   
                 8 
                 5 
                 6 
                 Mrpl34 
                 8 
                 6 
                 5 
               
               
                 Acadvl 
                 1.92675832 
                 0.00058347 
                 0.09104480 
                   
                 2.80480474 
                 0.00739987 
                 0.10736311 
               
               
                   
                 4 
                 9 
                 2 
                 M pl36 
                 3 
                 6 
                 9 
               
               
                 Acap3 
                 3.49802213 
                 0.00271064 
                 0.08860492 
                   
                 1.78484920 
                 0.00257689 
                   
               
               
                   
                 9 
                 6 
                 2 
                 Mrpl42 
                 6 
                 5 
                 0.08733985 
               
               
                 Acp1 
                 1.94198898 
                 0.00239343 
                 0.08643542 
                   
                 2.58451418 
                   
                 0.13148808 
               
               
                   
                 4 
                 5 
                 1 
                 Mrps36 
                 9 
                 0.01365759 
                 8 
               
               
                 Adamts8 
                 3.56121540 
                   
                 0.11614584 
                   
                 1.74029482 
                 0.01590263 
                 0.13887520 
               
               
                   
                 6 
                 0.00957817 
                 8 
                 mt-Nd1 
                 1 
                 9 
                 9 
               
               
                 Adcy6 
                 2.71102654 
                 0.00646199 
                 0.09988919 
                   
                 1.97324856 
                 0.01687462 
                 0.14124810 
               
               
                   
                 4 
                 7 
                 2 
                 Mtor 
                 9 
                 2 
                 1 
               
               
                 Alkbh3 
                 6.47573131 
                 0.00100475 
                   
                   
                 1.90459758 
                 0.00578653 
                 0.09667605 
               
               
                   
                 1 
                 1 
                 0.08566279 
                 Mxd3 
                 6 
                 5 
                 5 
               
               
                 Amacr 
                 2.95482044 
                 0.00501364 
                 0.09597884 
                   
                 2.04080831 
                 0.01079639 
                 0.12098394 
               
               
                   
                 9 
                 7 
                 7 
                 Ndufa4 
                 4 
                 1 
                 6 
               
               
                 Amd1 
                 3.37101016 
                 0.00741791 
                 0.10724848 
                   
                 1.69912936 
                 0.00298764 
                 0.08919783 
               
               
                   
                 2 
                 2 
                 2 
                 Ndufa8 
                 8 
                 2 
                 2 
               
               
                 Amer2 
                 2.70584476 
                 0.01053699 
                 0.12052684 
                   
                 2.35841053 
                 0.00960321 
                 0.11577054 
               
               
                   
                 3 
                 1 
                 9 
                 Ndufaf7 
                 4 
                 5 
                 2 
               
               
                 Anapc13 
                 3.57501968 
                 0.00344125 
                 0.08921361 
                   
                 2.83709005 
                 0.00046761 
                 0.09915856 
               
               
                   
                 2 
                 1 
                 2 
                 Ndufs8 
                 6 
                 6 
                 4 
               
               
                 AngptI2 
                 2.18868846 
                 0.01695005 
                   
                   
                 3.02264277 
                 0.00440386 
                 0.09362462 
               
               
                   
                 6 
                 8 
                 0.14159291 
                 Nedd9 
                 1 
                 7 
                 9 
               
               
                 Ankrd13b 
                 2.38497801 
                   
                 0.11711978 
                   
                   
                 0.00488487 
                 0.09572960 
               
               
                   
                 6 
                 0.00981427 
                 7 
                 Ngfr 
                 1.80476366 
                 2 
                 2 
               
               
                 Anxa5 
                 0.00210273 
                 0.08482750 
                 2.05711200 
                   
                   
                 0.01618967 
                 0.13874466 
               
               
                   
                 1.87339426 
                 7 
                 7 
                 Nipsna p3b 
                 3 
                 4 
                 9 
               
               
                 Ap2m1 
                 1.80168208 
                 0.00272843 
                 0.08848695 
                   
                 3.66005120 
                 0.01610178 
                 0.13899974 
               
               
                   
                 1 
                 7 
                 7 
                 Nme2 
                 4 
                 4 
                 5 
               
               
                 Apip 
                 3.74612670 
                 0.00471771 
                 0.09633448 
                   
                 2.20019915 
                 0.00978790 
                 0.11697400 
               
               
                   
                 7 
                 1 
                 8 
                 Ntrk1 
                 5 
                 9 
                 1 
               
               
                 Arl3 
                 1.89073238 
                 0.00370163 
                 0.08898982 
                   
                 2.19442866 
                 0.00616616 
                   
               
               
                   
                 9 
                 2 
                 7 
                 Omg 
                 2 
                 2 
                 0.09787747 
               
               
                 Arl6 
                 2.81623590 
                 0.01272734 
                 0.12883124 
                   
                 1.71816633 
                 0.00362830 
                 0.08903883 
               
               
                   
                 3 
                 3 
                 3 
                 0st4 
                 9 
                 6 
                 6 
               
               
                 Arpc1b 
                 2.30886994 
                 0.00052129 
                 0.09580310 
                   
                 2.28266033 
                 0.01646073 
                 0.13962078 
               
               
                   
                 4 
                 9 
                 5 
                 Pafah2 
                 1 
                 3 
                 4 
               
               
                 Asna1 
                 2.93889567 
                 0.00643301 
                 0.10000187 
                   
                 1.73204460 
                 0.00166180 
                 0.08329176 
               
               
                   
                 8 
                 1 
                 6 
                 Prm1 
                 2 
                 7 
                 3 
               
               
                 Atg4c 
                 2.34694889 
                   
                 0.13407671 
                   
                 2.68724184 
                 0.00597669 
                 0.09710661 
               
               
                   
                 3 
                 0.01426693 
                 7 
                 Pcbd2 
                 3 
                 5 
                 3 
               
               
                 Atp5c1 
                 2.20831720 
                 0.01552069 
                 0.13742631 
                   
                 2.51874047 
                 0.01258540 
                 0.12865430 
               
               
                   
                 9 
                 9 
                 4 
                 Pcdhb9 
                 8 
                 9 
                 4 
               
               
                 Atp5j2 
                 1.98751625 
                 0.00059275 
                 0.08912887 
                   
                 3.62835345 
                 0.00378297 
                 0.08913155 
               
               
                   
                 3 
                 6 
                 9 
                 Pex11b 
                 3 
                 2 
                 3 
               
               
                 Avpi1 
                 2.24053012 
                 0.00329213 
                 0.08839593 
                   
                 1.76016081 
                 0.00141776 
                 0.08496291 
               
               
                   
                 4 
                 4 
                 3 
                 Pgrmc2 
                 8 
                 1 
                 1 
               
               
                 Bcl3 
                 1.88982403 
                 0.01765920 
                 0.14331859 
                   
                 1.81360463 
                 0.00355257 
                 0.08957247 
               
               
                   
                 2 
                 8 
                 3 
                 Phpt1 
                 8 
                 2 
                 6 
               
               
                 Bloc1s1 
                 1.94415053 
                 0.00530593 
                 0.09477340 
                   
                 2.87358750 
                 0.01050630 
                 0.12067654 
               
               
                   
                 7 
                 5 
                 2 
                 PIpp1 
                 3 
                 1 
                 3 
               
               
                 Btbd2 
                 1.76027356 
                 0.00856392 
                 0.11259725 
                   
                 1.66756306 
                 0.01661878 
                 0.14052898 
               
               
                   
                 6 
                 7 
                 8 
                 Pnrc2 
                 1 
                 4 
                 3 
               
               
                 C77080 
                 2.16857152 
                   
                 0.08901839 
                   
                 2.73089411 
                 0.00838699 
                   
               
               
                   
                 8 
                 0.00321844 
                 7 
                 Polr1c 
                 1 
                 3 
                 0.11187167 
               
               
                 Calca 
                 1.64318089 
                 0.00198741 
                 0.08177074 
                   
                 3.51815163 
                 0.00240392 
                 0.08606252 
               
               
                   
                 8 
                 5 
                 5 
                 Polr2j 
                 1 
                 3 
                 2 
               
               
                 Camk1 
                 1.85649455 
                 0.00721679 
                 0.10619725 
                   
                 2.03777342 
                 0.00303307 
                 0.08894878 
               
               
                   
                 4 
                 1 
                 9 
                 Ppdpf 
                 8 
                 8 
                 9 
               
               
                 Caml 
                   
                 0.00896828 
                 0.11392885 
                   
                 2.09359172 
                 0.01547785 
                 0.13734107 
               
               
                   
                 1.86495203 
                 1 
                 3 
                 Ppp1ca 
                 2 
                 8 
                 5 
               
               
                 Card19 
                 1.75334916 
                   
                 0.08048193 
                   
                 2.33504029 
                   
                 0.08947099 
               
               
                   
                 6 
                 0.0018977 
                 8 
                 Praf2 
                 9 
                 0.00344036 
                 7 
               
               
                 Casp6 
                 5.71964470 
                 0.00010552 
                 0.07272439 
                   
                 2.17409024 
                 0.01803478 
                 0.14536807 
               
               
                   
                 6 
                 5 
                 5 
                 Prdx5 
                 6 
                 2 
                 7 
               
               
                 Ccm2 
                   
                 0.00962894 
                 0.11574324 
                   
                 3.24683705 
                   
                 0.08850319 
               
               
                   
                 1.64317927 
                 2 
                 4 
                 Prg4 
                 3 
                 0.00330683 
                 4 
               
               
                 Cct3 
                 1.63849823 
                 0.01004261 
                 0.11780489 
                   
                   
                 0.00226505 
                 0.08592673 
               
               
                   
                 9 
                 8 
                 6 
                 Prkrir 
                 2.09638252 
                 8 
                 7 
               
               
                 Cd1d1 
                 3.34481660 
                 0.01645815 
                 0.13974222 
                   
                 2.20148643 
                 0.00127140 
                 0.08762095 
               
               
                   
                 1 
                 3 
                 2 
                 Prkx 
                 8 
                 4 
                 7 
               
               
                 Cdc42ep3 
                 3.24891594 
                 0.00247252 
                 0.08701180 
                   
                 2.07026813 
                   
                 0.10839712 
               
               
                   
                 4 
                 4 
                 3 
                 Psma2 
                 7 
                 0.00768086 
                 2 
               
               
                 Cdpf1 
                 1.81509371 
                 0.00509841 
                 0.09560971 
                   
                 1.68116169 
                 0.01674109 
                 0.14070008 
               
               
                   
                 7 
                 4 
                 5 
                 Ptdss1 
                 3 
                 8 
                 2 
               
               
                 Cenpf 
                 2.90167870 
                 0.00531075 
                 0.09465508 
                   
                 2.24753373 
                 0.01698581 
                 0.14160551 
               
               
                   
                 4 
                 7 
                 4 
                 Ptp4a3 
                 2 
                 2 
                 3 
               
               
                 Cfap206 
                 3.05541283 
                 0.00465661 
                 0.09579660 
                   
                 1.74161147 
                 0.00612631 
                 0.09761972 
               
               
                   
                 9 
                 8 
                 3 
                 Ptprf 
                 4 
                 6 
                 5 
               
               
                 Cfd 
                 2.20059923 
                 0.01493180 
                 0.13614775 
                   
                 3.57815078 
                 0.00337342 
                 0.08970501 
               
               
                   
                 9 
                 3 
                 3 
                 Pxdc1 
                 3 
                 9 
                 8 
               
               
                 Chchd10 
                   
                 0.00717890 
                 0.10601706 
                   
                 1.84080667 
                 0.00553607 
                 0.09498622 
               
               
                   
                 3.15287777 
                 7 
                 8 
                 Rbc1 
                 1 
                 8 
                 9 
               
               
                 Chp1 
                 1.91607287 
                 0.00088790 
                 0.08638786 
                   
                 4.96484446 
                 0.00047060 
                 0.09729725 
               
               
                   
                 3 
                 4 
                 7 
                 Rd54l 
                 8 
                 3 
                 8 
               
               
                 Cisd2 
                 2.37545533 
                 0.00281807 
                 0.08761446 
                   
                 1.78619251 
                 0.00136805 
                 0.08636514 
               
               
                   
                 3 
                 1 
                 4 
                 Rad9a 
                 3 
                 7 
                 1 
               
               
                 Cln5 
                   
                 0.00287860 
                 0.08882849 
                   
                 2.08496913 
                 0.01096104 
                 0.12216687 
               
               
                   
                 3.44676748 
                 2 
                 6 
                 Rcn3 
                 6 
                 3 
                 9 
               
               
                 Cnih4 
                 1.92646175 
                   
                 0.08733509 
                   
                   
                 0.00452525 
                 0.09450468 
               
               
                   
                 7 
                 0.00247115 
                 1 
                 Rft1 
                 3.18278907 
                 5 
                 7 
               
               
                 Cnrip1 
                 2.13621667 
                 0.00628949 
                 0.09851159 
                   
                 5.35238538 
                 0.00010110 
                 0.08361275 
               
               
                   
                 5 
                 5 
                 6 
                 Rho 
                 5 
                 4 
                 9 
               
               
                 Cntfr 
                 2.49518557 
                 0.01021026 
                 0.11876073 
                   
                 2.35608790 
                 0.00185651 
                 0.08080724 
               
               
                   
                 8 
                 4 
                 2 
                 Rnase4 
                 8 
                 5 
                 5 
               
               
                 Coq3 
                   
                 0.00111672 
                 0.08472753 
                   
                 2.82669471 
                 0.00114519 
                 0.08532201 
               
               
                   
                 4.10483523 
                 3 
                 6 
                 Rnh1 
                 2 
                 3 
                 7 
               
               
                 Cox18 
                 2.80620275 
                 0.00371531 
                 0.08905994 
                   
                 2.00209634 
                 0.00300412 
                   
               
               
                   
                 7 
                 8 
                 2 
                 Romo1 
                 4 
                 3 
                 0.08936727 
               
               
                 Cox6b1 
                 1.81750102 
                 0.00010112 
                 0.07602579 
                   
                 2.76390890 
                 0.00990016 
                 0.11713065 
               
               
                   
                 7 
                 3 
                 5 
                 Rpl10a 
                 2 
                 1 
                 5 
               
               
                 Cox7a2 
                 2.17016476 
                 0.00274474 
                 0.08832316 
                   
                 1.72820407 
                 0.00210333 
                 0.08443978 
               
               
                   
                 9 
                 6 
                 5 
                 Rpl23a 
                 4 
                 7 
                 7 
               
               
                 Cox7b 
                   
                 0.00484199 
                 0.09579739 
                   
                 2.31363840 
                 0.00344938 
                 0.08831715 
               
               
                   
                 2.56601636 
                 7 
                 7 
                 Rpl37 
                 4 
                 8 
                 6 
               
               
                 Crlf2 
                 3.21383046 
                 0.00525702 
                 0.09534125 
                   
                 2.27869440 
                 0.00027618 
                 0.09517009 
               
               
                   
                 1 
                 7 
                 7 
                 Rpl39 
                 1 
                 9 
                 1 
               
               
                 Dad1 
                 2.45720146 
                 0.01763613 
                 0.14341279 
                   
                 1.70270133 
                 0.01465143 
                 0.13508070 
               
               
                   
                 2 
                 2 
                 6 
                 Rprm 
                 3 
                 8 
                 1 
               
               
                 Ddt 
                 1.82276948 
                 0.00617687 
                 0.09785965 
                   
                 2.44162350 
                 0.01753806 
                   
               
               
                   
                 3 
                 3 
                 4 
                 Rps2 
                 8 
                 8 
                 0.14346174 
               
               
                 Ddx59 
                 3.57724930 
                 0.00310416 
                 0.08944747 
                   
                 2.99446300 
                 0.00170270 
                 0.08381769 
               
               
                   
                 7 
                 3 
                 6 
                 Rps29 
                 6 
                 5 
                 8 
               
               
                 Dhrs1 
                 1.83251016 
                   
                 0.08346110 
                   
                 1.84480102 
                 0.01128066 
                 0.12614300 
               
               
                   
                 9 
                 0.00203859 
                 3 
                 Rraga 
                 1 
                 9 
                 4 
               
               
                 DIg2 
                   
                 0.00174778 
                 0.08259545 
                   
                   
                 0.00260519 
                 0.08687475 
               
               
                   
                 2.7339704 
                 8 
                 7 
                 Rtn4rl1 
                 2.40725771 
                 2 
                 2 
               
               
                 Dnajb1 
                   
                 0.00341376 
                 0.08962477 
                   
                 2.51054523 
                 0.00066756 
                   
               
               
                   
                 1.8875061 
                 1 
                 6 
                 Rwdd1 
                 9 
                 5 
                 0.08364789 
               
               
                 Dnajc5 
                 1.67245585 
                 0.00772349 
                 0.10862812 
                   
                 1.94768753 
                 0.01890348 
                 0.14776166 
               
               
                   
                 8 
                 9 
                 3 
                 Sag 
                 8 
                 8 
                 7 
               
               
                 Dnal4 
                 3.15599501 
                 0.00624720 
                 0.09840828 
                   
                 2.92347185 
                 0.01440460 
                 0.13460578 
               
               
                   
                 5 
                 1 
                 5 
                 Scpep1 
                 2 
                 9 
                 5 
               
               
                 Dolk 
                 3.02282260 
                 0.00288093 
                 0.08856990 
                   
                 3.23633494 
                 0.00847037 
                 0.11262063 
               
               
                   
                 9 
                 2 
                 6 
                 Sdhb 
                 3 
                 9 
                 4 
               
               
                 Dpm3 
                 2.92710087 
                 0.00355567 
                 0.08937817 
                   
                 2.12902841 
                 0.01792988 
                   
               
               
                   
                 6 
                 3 
                 1 
                 Sec14I1 
                 5 
                 8 
                 0.14480486 
               
               
                 Dzank1 
                 2.22581967 
                 0.01292894 
                 0.12960285 
                   
                 2.80481868 
                 0.00582203 
                 0.09648945 
               
               
                   
                 3 
                 3 
                 6 
                 Serp2 
                 6 
                 6 
                 7 
               
               
                 Edfl 
                 2.36242869 
                 0.00264442 
                 0.08712909 
                   
                 2.54941929 
                 0.00601609 
                 0.09717401 
               
               
                   
                 7 
                 6 
                 5 
                 Serpina3n 
                 8 
                 4 
                 3 
               
               
                 Efccl 
                   
                 0.01157719 
                 0.12369946 
                   
                 3.00200183 
                 0.00295518 
                 0.08952149 
               
               
                   
                 3.20064701 
                 3 
                 3 
                 Serping1 
                 9 
                 4 
                 3 
               
               
                 Eif3l 
                 1.62208847 
                 0.01894994 
                 0.14770600 
                   
                 2.13722939 
                   
                 0.09601487 
               
               
                   
                 2 
                 8 
                 1 
                 Shisa5 
                 1 
                 0.00516646 
                 7 
               
               
                 Eif4a3 
                 2.26891316 
                 0.00890850 
                 0.11369338 
                   
                 2.64131650 
                 0.00300700 
                 0.08881404 
               
               
                   
                 8 
                 2 
                 7 
                 Slc25a3 
                 2 
                 5 
                 2 
               
               
                 Elk4 
                 1.92757347 
                 0.01317037 
                 0.13059832 
                   
                 2.80945548 
                 0.00989425 
                 0.11722847 
               
               
                   
                 6 
                 5 
                 8 
                 Slc30a6 
                 5 
                 3 
                 5 
               
               
                 Emd 
                 2.13526098 
                 0.01021746 
                 0.11867757 
                   
                 2.84090517 
                 0.00033955 
                 0.09360302 
               
               
                   
                 1 
                 5 
                 4 
                 Slc3a2 
                 6 
                 1 
                 3 
               
               
                 Endov 
                 2.65238425 
                 0.00641705 
                 0.09994164 
                   
                 1.97747570 
                 0.00386175 
                 0.08896013 
               
               
                   
                 7 
                 1 
                 8 
                 Slc48a1 
                 8 
                 2 
                 7 
               
               
                 Esd 
                 1.65840172 
                 0.01036702 
                 0.12007744 
                   
                 1.97929033 
                 0.01825414 
                 0.14642264 
               
               
                   
                 6 
                 5 
                 9 
                 Slc6a15 
                 4 
                 1 
                 6 
               
               
                 Esyt1 
                 3.65689506 
                 0.00089190 
                 0.08478231 
                   
                 2.01612921 
                 0.00068702 
                 0.08355395 
               
               
                   
                 7 
                 6 
                 1 
                 Smdt1 
                 2 
                 2 
                 5 
               
               
                 Fabp7 
                 2.36549619 
                 0.00237216 
                 0.08680447 
                   
                 4.75437715 
                 0.00022841 
                 0.09941885 
               
               
                   
                 1 
                 6 
                 7 
                 Smug1 
                 3 
                 1 
                 9 
               
               
                 Fads3 
                 2.61857819 
                 0.00359057 
                 0.08971013 
                   
                 1.65651455 
                 0.00056214 
                 0.09115637 
               
               
                   
                 1 
                 5 
                 8 
                 Snrpg 
                 6 
                 9 
                 9 
               
               
                 Fam132a 
                 3.45301725 
                 0.00258786 
                 0.08699859 
                   
                 4.06584736 
                 8.95589E- 
                   
               
               
                   
                 5 
                 6 
                 1 
                 Soat2 
                 4 
                 05 
                 0.08229467 
               
               
                 Fam172a 
                   
                 0.00449401 
                 0.09432860 
                   
                 1.77013120 
                 0.00510321 
                 0.09548322 
               
               
                   
                 2.094451 
                 1 
                 3 
                 Sod1 
                 8 
                 5 
                 9 
               
               
                 Fam189b 
                 1.80035378 
                 0.01746499 
                 0.14328920 
                   
                   
                 0.01806739 
                 0.14534762 
               
               
                   
                 7 
                 7 
                 9 
                 Sorbs1 
                 2.94151137 
                 6 
                 9 
               
               
                 Fm43b 
                 4.13198984 
                 0.00141826 
                 0.08438191 
                   
                 3.16907658 
                 0.00837490 
                 0.11189092 
               
               
                   
                 7 
                 9 
                 9 
                 Spink10 
                 1 
                 8 
                 9 
               
               
                 Fam89a 
                 3.21590679 
                 0.00413053 
                 0.09133555 
                   
                 1.89593708 
                 0.00162887 
                 0.08264283 
               
               
                   
                 2 
                 2 
                 2 
                 Stx2 
                 7 
                 3 
                 1 
               
               
                 Fbxo2 
                 2.96458674 
                 0.01122893 
                 0.12316087 
                   
                 3.10038479 
                 0.00644476 
                 0.09999669 
               
               
                   
                 4 
                 6 
                 8 
                 Synb 
                 9 
                 9 
                 2 
               
               
                 Fkbp1b 
                 1.71407666 
                 0.01304274 
                 0.13011279 
                   
                 1.70064057 
                 0.00972702 
                 0.11641462 
               
               
                   
                 6 
                 5 
                 2 
                 Syngr3 
                 6 
                 6 
                 8 
               
               
                 Fsd1 
                 3.04419895 
                 0.00025108 
                 0.09438490 
                   
                   
                 0.00698634 
                 0.10429078 
               
               
                   
                 4 
                 4 
                 1 
                 Tagln3 
                 2.10051563 
                 7 
                 1 
               
               
                 Fxyd2 
                 1.65339993 
                 0.00560398 
                 0.09496911 
                   
                 2.33485080 
                 0.00987038 
                 0.11711345 
               
               
                   
                 1 
                 1 
                 2 
                 Tdrp 
                 4 
                 4 
                 6 
               
               
                 Gcsh 
                 1.61000862 
                 0.01159398 
                 0.12371908 
                   
                 2.73897453 
                 0.01294542 
                 0.12945427 
               
               
                   
                 3 
                 9 
                 8 
                 Tgm2 
                 3 
                 8 
                 6 
               
               
                 Gdf1 
                 2.41948818 
                 0.01368249 
                 0.13142186 
                   
                 2.07028927 
                 0.00249897 
                 0.08720055 
               
               
                   
                 7 
                 4 
                 3 
                 Thoc7 
                 3 
                 6 
                 1 
               
               
                 Gla 
                 1.79269112 
                 0.00388051 
                 0.08840738 
                   
                 2.81498039 
                   
                 0.09626340 
               
               
                   
                 6 
                 7 
                 1 
                 Timm8b 
                 4 
                 0.00483063 
                 2 
               
               
                 Gm20721 
                   
                   
                 0.08449200 
                   
                 1.83762326 
                   
                 0.13033686 
               
               
                   
                 2.09285915 
                 0.00154272 
                 6 
                 Timm9 
                 8 
                 0.01331737 
                 8 
               
               
                 Gm43518 
                 4.85975263 
                 0.00536096 
                 0.09493611 
                 Tmem106 
                 1.89108101 
                   
                 0.11167454 
               
               
                   
                 9 
                 3 
                 6 
                 b 
                 7 
                 0.0083182 
                 2 
               
               
                 Gmppa 
                 2.03328933 
                 0.01407816 
                 0.13290685 
                 Tmem120 
                 3.03250478 
                 0.00906510 
                   
               
               
                   
                 7 
                 2 
                 2 
                 b 
                 6 
                 8 
                 0.11445564 
               
               
                 Gpr75 
                 3.80981263 
                 0.00132776 
                 0.08646148 
                 Tmem126 
                 2.74434906 
                 0.01086948 
                 0.12130986 
               
               
                   
                 1 
                 4 
                 5 
                 a 
                 4 
                 2 
                 8 
               
               
                 Gstm1 
                 3.15469558 
                 0.01356616 
                 0.13152662 
                   
                 2.65495815 
                 0.00471657 
                 0.09654968 
               
               
                   
                 5 
                 8 
                 7 
                 Tmem129 
                 9 
                 5 
                 7 
               
               
                 H2-T23 
                 3.90367597 
                 0.00575957 
                 0.09642035 
                   
                 1.65739430 
                 0.00177850 
                 0.08171240 
               
               
                   
                 1 
                 1 
                 7 
                 Tmem14c 
                 7 
                 5 
                 6 
               
               
                 H2afj 
                 2.76048297 
                 0.00179509 
                 0.08201913 
                   
                 2.85138268 
                 0.00628685 
                 0.09865703 
               
               
                   
                 2 
                 8 
                 8 
                 Tmem53 
                 5 
                 1 
                 5 
               
               
                 H2afz 
                 1.71676827 
                   
                 0.08880301 
                   
                   
                   
                 0.14210240 
               
               
                   
                 5 
                 0.00280261 
                 1 
                 Tmem9b 
                 1.81776303 
                 0.01713133 
                 4 
               
               
                 Hagh 
                 3.06707340 
                   
                 0.08851584 
                   
                   
                 0.00033997 
                 0.09069539 
               
               
                   
                 9 
                 0.00280425 
                 2 
                 Tnfaip8l3 
                 4.38009095 
                 1 
                 6 
               
               
                 Hhatl 
                 3.91536840 
                 0.00065393 
                 0.08865608 
                   
                   
                 0.00125285 
                 0.08855625 
               
               
                   
                 3 
                 2 
                 1 
                 Tonsl 
                 1.7622861 
                 1 
                 4 
               
               
                 Hist3h2ba 
                 2.22263837 
                 0.00646377 
                 0.09973027 
                   
                   
                 0.01143821 
                 0.12316932 
               
               
                   
                 6 
                 6 
                 7 
                 Tpgs2 
                 2.07580629 
                 6 
                 8 
               
               
                 Hspa8 
                 1.66596847 
                   
                 0.08273876 
                   
                 2.17403152 
                   
                   
               
               
                   
                 4 
                 0.00079037 
                 7 
                 Tram1 
                 8 
                 0.01935788 
                 0.14933738 
               
               
                 Idh3b 
                 1.90500836 
                 0.01830362 
                 0.14625217 
                   
                 2.44732077 
                 0.01068536 
                 0.12088638 
               
               
                   
                 3 
                 8 
                 9 
                 Trap1 
                 3 
                 2 
                 4 
               
               
                 Idh3g 
                 1.61429583 
                   
                 0.08913407 
                   
                 2.39514756 
                 0.01687593 
                 0.14111626 
               
               
                   
                 3 
                 0.0032334 
                 1 
                 Trim11 
                 3 
                 5 
                 5 
               
               
                 Ift122 
                 2.37832088 
                   
                 0.09663744 
                   
                 1.65660668 
                   
                 0.08298150 
               
               
                   
                 5 
                 0.00581928 
                 7 
                 Trpv1 
                 2 
                 0.00156531 
                 2 
               
               
                 Igtp 
                 2.40981472 
                 0.00614124 
                 0.09766934 
                   
                 2.33744627 
                 0.01866930 
                 0.14676346 
               
               
                   
                 5 
                 1 
                 9 
                 Tspan17 
                 6 
                 7 
                 6 
               
               
                 ll15ra 
                 3.55097762 
                 0.00333577 
                 0.08898994 
                   
                 2.11137386 
                 0.00341205 
                 0.08986527 
               
               
                   
                 8 
                 8 
                 5 
                 Tubb4b 
                 9 
                 5 
                 1 
               
               
                 Kcnip2 
                 2.30825735 
                 0.00696498 
                   
                   
                 2.92746978 
                   
                 0.14963788 
               
               
                   
                 8 
                 4 
                 0.10415989 
                 Tyro3 
                 5 
                 0.01946921 
                 7 
               
               
                 Kcnip4 
                 1.68021640 
                 0.00140488 
                 0.08735656 
                   
                 3.79497463 
                 0.00101285 
                 0.08547223 
               
               
                   
                 5 
                 8 
                 4 
                 Ucp1 
                 1 
                 1 
                 3 
               
               
                 Krt28 
                 5.48076752 
                 0.00027629 
                 0.09139838 
                   
                 1.92749828 
                 0.00473204 
                 0.09638922 
               
               
                   
                 7 
                 5 
                 2 
                 Ufsp2 
                 6 
                 7 
                 6 
               
               
                 L3mbt12 
                 1.69062557 
                 0.01372741 
                 0.13170034 
                   
                   
                 0.00055884 
                 0.09243367 
               
               
                   
                 4 
                 2 
                 6 
                 Uqcrc2 
                 3.51422686 
                 9 
                 9 
               
               
                 Lamtor5 
                 1.97454465 
                 0.00351057 
                 0.08960627 
                   
                 1.82523702 
                 0.00092346 
                 0.08485600 
               
               
                   
                 1 
                 2 
                 6 
                 Uqcrq 
                 3 
                 3 
                 2 
               
               
                 Lcmt1 
                 1.71217993 
                 0.00709047 
                 0.10527503 
                   
                 1.74815534 
                 0.01011239 
                 0.11828781 
               
               
                   
                 1 
                 1 
                 3 
                 Use1 
                 8 
                 2 
                 1 
               
               
                 Lingo2 
                 2.24682315 
                 0.01270438 
                 0.12875646 
                   
                 1.79843985 
                 0.00153449 
                 0.08516976 
               
               
                   
                 1 
                 6 
                 5 
                 Usmg5 
                 1 
                 8 
                 9 
               
               
                 Litaf 
                 2.88755099 
                 0.00263977 
                 0.08767457 
                   
                 1.93325450 
                 0.01743537 
                 0.14333054 
               
               
                   
                 3 
                 9 
                 7 
                 Vezf1 
                 6 
                 2 
                 1 
               
               
                 Lrrc55 
                 5.43282743 
                 0.00053124 
                 0.09152971 
                   
                 1.68938612 
                 0.00029028 
                 0.09233343 
               
               
                   
                 2 
                 9 
                 3 
                 Wbp2 
                 5 
                 6 
                 6 
               
               
                 Lxn 
                 2.11878645 
                 0.00170960 
                 0.08316731 
                   
                 2.67952249 
                 0.01904270 
                 0.14814975 
               
               
                   
                 2 
                 6 
                 7 
                 Wdr35 
                 1 
                 8 
                 9 
               
               
                 Lyrm2 
                 2.83188446 
                 0.01523807 
                 0.13653183 
                   
                 3.62115339 
                 0.00295315 
                 0.09012022 
               
               
                   
                 9 
                 6 
                 7 
                 Wdsub1 
                 7 
                 4 
                 1 
               
               
                 Med6 
                 2.47250793 
                 0.01886851 
                 0.14762785 
                   
                 1.86573178 
                 0.01358296 
                   
               
               
                   
                 9 
                 8 
                 4 
                 Ythdf2 
                 3 
                 9 
                 0.13138147 
               
               
                 Mien1 
                 1.84739187 
                 0.00437164 
                 0.09341981 
                   
                 1.83695230 
                 7.46045E- 
                 0.10282985 
               
               
                   
                 6 
                 1 
                 8 
                 Ywhaq 
                 6 
                 05 
                 6 
               
               
                 Mmd 
                 2.02557151 
                 0.01805585 
                 0.14539623 
                   
                   
                 0.00535934 
                 0.09511107 
               
               
                   
                 7 
                 6 
                 3 
                 Zfp386 
                 3.02220095 
                 2 
                 2 
               
               
                 Mob1a 
                 2.68284228 
                   
                 0.12075840 
                   
                   
                 0.00595383 
                 0.09730877 
               
               
                   
                 2 
                 0.01074706 
                 8 
                 Zfp467 
                 2.1471192 
                 8 
                 8 
               
               
                 Mob3b 
                 2.17933076 
                 0.00982338 
                 0.11689117 
                   
                 2.07968163 
                 0.00938769 
                 0.11553007 
               
               
                   
                 2 
                 2 
                 3 
                 Zyx 
                 5 
                 2 
                 3 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 Extended Table 4-3 
               
             
            
               
                   
               
               
                 222 identified genes significantly downregulated in Nav1.8-TRAP 
               
               
                 after paclitaxel related to the data shown in Figure 1E. 1F and 1G (Log2FC &lt;−1.2) 
               
            
           
           
               
               
               
               
               
               
               
               
            
               
                 Gene name 
                 Log2FC 
                 p-value 
                 FDR 
                 Gene name 
                 Log2FC 
                 p-value 
                 FDR 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
            
               
                 Abca7 
                 −1.41 
                 0.006692702 
                 0.101185819 
                 Kif3a 
                 −1.68 
                 0.007461962 
                 0.107322479 
               
               
                 Abhd17c 
                 −1.71 
                 0.002248298 
                 0.086080664 
                 Kif3c 
                 −1.70 
                 0.001800154 
                 0.081351201 
               
               
                 Acin 1 
                 −1.32 
                 0.008363256 
                 0.111916067 
                 Kin 
                 −1.81 
                 0.003259304 
                 0.08808643 
               
               
                 Ada mts15 
                 −1.59 
                 0.018585454 
                 0.147223856 
                 Klhdc4 
                 −1.28 
                 0.013557817 
                 0.131599938 
               
               
                 Ada p1 
                 −1.42 
                 0.004316945 
                 0.092730213 
                 Kmt2d 
                 −1.29 
                 0.003097241 
                 0.089874325 
               
               
                 Adora 2a 
                 −1.78 
                 6.99304E-05 
                 0.115664924 
                 Lrp1 
                 −1.29 
                 8.83803E-05 
                 0.091363119 
               
               
                 Adrbk1 
                 −1.33 
                 0.012685296 
                 0.128878865 
                 Lbh 
                 −1.24 
                 0.00134447 
                 0.08619202 
               
               
                 A1597479 
                 −1.41 
                 0.001772906 
                 0.081910231 
                 Leo1 
                 −1.59 
                 0.008507391 
                 0.112569799 
               
               
                 Aka p1 
                 −1.26 
                 0.012826459 
                 0.129201967 
                 Lhfp 
                 −1.28 
                 0.012838918 
                 0.129170132 
               
               
                 Akt1s1 
                 −2.67 
                 7.80086E-05 
                 0.092161583 
                 Lmbr1I 
                 −1.38 
                 0.005498462 
                 0.095329732 
               
               
                 Anp32b 
                 −1.99 
                 0.00192581 
                 0.080436593 
                 Ma ea 
                 −1.27 
                 0.002643502 
                 0.087447048 
               
               
                 Ap1s1 
                 −1.47 
                 0.001800716 
                 0.080934345 
                 Ma p1a 
                 −1.31 
                 0.004743313 
                 0.096145101 
               
               
                 Aplf 
                 −1.68 
                 0.000876585 
                 0.086301894 
                 Med16 
                 −1.67 
                 0.009586335 
                 0.115735754 
               
               
                 Arf2 
                 −2.04 
                 0.01478222 
                 0.135530999 
                 Med29 
                 −1.51 
                 0.008983431 
                 0.11377178 
               
               
                 Arhga p26 
                 −1.23 
                 0.005924719 
                 0.097024609 
                 Mon 1a 
                 −1.46 
                 0.000962477 
                 0.086518296 
               
               
                 Arhgef25 
                 −1.58 
                 0.014386449 
                 0.134740579 
                 M rp114 
                 −1.81 
                 0.00579203 
                 0.096572754 
               
               
                 Armc8 
                 −1.27 
                 0.001927092 
                 0.08008567 
                 M rp12 
                 −1.25 
                 0.013045365 
                 0.129982128 
               
               
                 Arnt 
                 −1.20 
                 0.01945096 
                 0.149636691 
                 Msn 
                 −1.30 
                 0.003104843 
                 0.089156441 
               
               
                 Arrdc1 
                 −1.47 
                 0.001861411 
                 0.080596184 
                 Mterf4 
                 −1.37 
                 0.001538656 
                 0.084831246 
               
               
                 Arrdc3 
                 −1.24 
                 0.001297219 
                 0.087219545 
                 Myh9 
                 −1.44 
                 0.004384805 
                 0.093459622 
               
               
                 Atp2 b1 
                 −1.52 
                 0.003728914 
                 0.089127517 
                 Nam pt 
                 −1.29 
                 0.00143319 
                 0.084060132 
               
               
                 At p2 b4 
                 −1.63 
                 0.017324012 
                 0.142841056 
                 Napg 
                 −1.47 
                 0.001238223 
                 0.088276745 
               
               
                 Atp6v0a1 
                 −1.34 
                 0.000438198 
                 0.097943136 
                 Nat9 
                 −2.12 
                 0.001545271 
                 0.083525411 
               
               
                 Ba k1 
                 −1.63 
                 0.018344049 
                 0.146433669 
                 Nd 1 
                 −1.20 
                 0.019403721 
                 0.149551515 
               
               
                 BC005561 
                 −1.40 
                 0.007344367 
                 0.106932948 
                 Ndufs5 
                 −1.63 
                 0.01618359 
                 0.138980574 
               
               
                 Bloc1s5 
                 −1.43 
                 0.007028529 
                 0.104543049 
                 Nefm 
                 −1.60 
                 0.003082514 
                 0.089761949 
               
               
                 Borcs6 
                 −1.28 
                 0.015970212 
                 0.138587254 
                 Neur14 
                 −1.43 
                 0.014555907 
                 0.134801068 
               
               
                 Btg1 
                 −1.60 
                 0.015889365 
                 0.13905296 
                 Nfe2I1 
                 −1.27 
                 0.008177772 
                 0.111051185 
               
               
                 Ca pn1 
                 −1.43 
                 0.000404168 
                 0.095499207 
                 Noct 
                 −2.14 
                 0.007502965 
                 0.107166705 
               
               
                 Cars 
                 −1.40 
                 0.003947399 
                 0.088950918 
                 N ua k1 
                 −1.69 
                 0.00741882 
                 0.107074413 
               
               
                 Ccdc157 
                 −1.74 
                 0.014002661 
                 0.132496577 
                 N up54 
                 −1.41 
                 0.013948404 
                 0.132590004 
               
               
                 Ccdc34 
                 −1.50 
                 0.009583869 
                 0.116044792 
                 N up88 
                 −1.51 
                 0.003793576 
                 0.089127482 
               
               
                 Ccdc71I 
                 −1.29 
                 0.007264112 
                 0.106326022 
                 Nya p1 
                 −2.06 
                 0.001083717 
                 0.085355624 
               
               
                 Cct8 
                 −2.60 
                 0.002518992 
                 0.087163434 
                 Peo1 
                 −2.01 
                 0.003534612 
                 0.089666389 
               
               
                 Cdk11b 
                 −1.90 
                 0.005284205 
                 0.09520779 
                 Pex6 
                 −1.84 
                 0.006120603 
                 0.097716965 
               
               
                 Cetn2 
                 −1.57 
                 0.001586461 
                 0.083038164 
                 Pfdn2 
                 −1.28 
                 0.016349632 
                 0.139249697 
               
               
                 Chfr 
                 −1.62 
                 0.011799391 
                 0.124783846 
                 Pgls 
                 −1.26 
                 0.011094328 
                 0.123154482 
               
               
                 Ciz1 
                 −1.65 
                 0.013588972 
                 0.131285982 
                 Phc2 
                 −2.17 
                 0.00223677 
                 0.08603761 
               
               
                 Ckb 
                 −2.11 
                 0.00086907 
                 0.086592874 
                 Pih1d1 
                 −1.40 
                 0.004490884 
                 0.094502832 
               
               
                 Clcn2 
                 −2.07 
                 0.003594756 
                 0.089544074 
                 Plcb3 
                 −1.72 
                 0.00014362 
                 0.079182519 
               
               
                 Cldn19 
                 −1.65 
                 0.003025942 
                 0.089055314 
                 Plec 
                 −1.57 
                 0.000329166 
                 0.093869083 
               
               
                 Clip2 
                 −2.03 
                 0.002341852 
                 0.086848065 
                 Plxnd1 
                 −1.74 
                 0.011440935 
                 0.123038403 
               
               
                 Coq7 
                 −1.35 
                 0.014384145 
                 0.134871747 
                 Pom121 
                 −1.48 
                 0.014452012 
                 0.134441103 
               
               
                 Cpeb3 
                 −1.44 
                 0.000508455 
                 0.097788824 
                 Prcc 
                 −1.28 
                 0.019005702 
                 0.148001088 
               
               
                 Ctns 
                 −1.40 
                 0.018267681 
                 0.146247555 
                 Prkag2 
                 −1.43 
                 0.000256281 
                 0.092149623 
               
               
                 Ctu2 
                 −1.94 
                 0.008866738 
                 0.113686708 
                 Prph 
                 −1.41 
                 0.013068271 
                 0.130053668 
               
               
                 Cysltr2 
                 -3.02 
                 0.008954458 
                 0.113928257 
                 Prrt2 
                 −1.23 
                 0.00649133 
                 0.099968907 
               
               
                 Ddx19b 
                 −1.97 
                 0.001409203 
                 0.085691948 
                 Prune 
                 −1.31 
                 0.003972028 
                 0.088780186 
               
               
                 Ddx56 
                 −1.27 
                 0.000492122 
                 0.096901116 
                 Psmb10 
                 −1.28 
                 0.01734215 
                 0.142706047 
               
               
                 Dgkz 
                 −1.28 
                 0.000635627 
                 0.093868555 
                 Psmb3 
                 −1.64 
                 0.019495979 
                 0.149704497 
               
               
                 Dmtn 
                 −1.22 
                 0.014689549 
                 0.135281259 
                 Psmd13 
                 −1.54 
                 0.007686774 
                 0.108295783 
               
               
                 Doc k6 
                 -3.17 
                 0.005845394 
                 0.096682811 
                 Psmd4 
                 −1.37 
                 0.005302218 
                 0.094911989 
               
               
                 Doc k9 
                 −2.20 
                 0.005011128 
                 0.096153208 
                 Psmd9 
                 −1.98 
                 0.008564018 
                 0.112419729 
               
               
                 Dpp8 
                 −1.67 
                 0.002472905 
                 0.086656463 
                 Ptms 
                 −1.87 
                 0.004952191 
                 0.095912449 
               
               
                 Drg2 
                 −1.91 
                 0.010681327 
                 0.121006268 
                 Ptrf 
                 −1.45 
                 0.017633602 
                 0.143533356 
               
               
                 Ebpl 
                 −1.68 
                 0.004208776 
                 0.09183794 
                 Rassf5 
                 −1.26 
                 0.000376847 
                 0.091662472 
               
               
                 Eef1d 
                 −1.74 
                 0.001481955 
                 0.083943613 
                 Rbm10 
                 −1.56 
                 0.005533053 
                 0.095131703 
               
               
                 Ehmt2 
                 −1.62 
                 0.003685787 
                 0.088867224 
                 Rbm34 
                 −1.45 
                 0.012281394 
                 0.127277105 
               
               
                 Eif2b4 
                 −1.36 
                 0.007288884 
                 0.106500127 
                 Rcc2 
                 −1.23 
                 0.009652492 
                 0.115857918 
               
               
                 Eif2b5 
                 −1.48 
                 0.000466474 
                 0.101519508 
                 Rfc2 
                 −1.35 
                 0.000525879 
                 0.092532325 
               
               
                 Eif3b 
                 −1.26 
                 0.00366993 
                 0.089265653 
                 Rfwd3 
                 −1.58 
                 0.014463557 
                 0.134246484 
               
               
                 Elmod2 
                 −1.90 
                 0.004877658 
                 0.095815284 
                 Rltpr 
                 −1.50 
                 0.006639013 
                 0.101113508 
               
               
                 Esf1 
                 −1.26 
                 0.013093814 
                 0.130151252 
                 Rnf2 
                 −1.56 
                 0.010540868 
                 0.120404669 
               
               
                 Ewsr1 
                 −1.46 
                 0.005414213 
                 0.095470241 
                 Rp124 
                 −1.90 
                 0.002129218 
                 0.084251824 
               
               
                 Fand1 
                 −2.10 
                 0.011475018 
                 0.123244674 
                 Rp18 
                 −1.26 
                 0.008285035 
                 0.111410149 
               
               
                 Fm 120c 
                 −1.47 
                 0.004280995 
                 0.092438206 
                 Rpsa 
                 −1.66 
                 0.007804782 
                 0.108845782 
               
               
                 Fam189a2 
                 −1.37 
                 0.015532862 
                 0.13724014 
                 Rragb 
                 −2.50 
                 0.007843241 
                 0.109197983 
               
               
                 Fam195b 
                 −1.54 
                 0.001026891 
                 0.084923916 
                 RsI1d1 
                 −1.42 
                 0.004249056 
                 0.092230161 
               
               
                 Fam213a 
                 −1.62 
                 0.003097269 
                 0.089560884 
                 Rundc1 
                 −1.57 
                 0.009447339 
                 0.115576177 
               
               
                 Fm98 
                 −1.31 
                 0.003826615 
                 0.089395774 
                 Sr t3 
                 −1.38 
                 0.002157935 
                 0.084578771 
               
               
                 Fm98b 
                 −1.46 
                 0.005552546 
                 0.094875107 
                 Sf3a3 
                 −1.51 
                 0.009585507 
                 0.115894944 
               
               
                 Fbxo31 
                 −1.21 
                 0.003234606 
                 0.08887108 
                 Sfxn4 
                 −1.50 
                 0.015019562 
                 0.136346629 
               
               
                 Fhdc1 
                 -3.22 
                 0.005279909 
                 0.095338097 
                 Slc17a7 
                 −1.61 
                 0.006714951 
                 0.101152354 
               
               
                 Flywch1 
                 −1.48 
                 0.004302609 
                 0.09266297 
                 Slc36a4 
                 −1.86 
                 0.004741303 
                 0.096340486 
               
               
                 Foxj2 
                 −1.51 
                 0.01894315 
                 0.147792314 
                 Slc37a1 
                 −1.36 
                 0.005853033 
                 0.096423473 
               
               
                 Frg1 
                 −1.29 
                 0.003200447 
                 0.088817768 
                 Slc4a10 
                 −1.59 
                 0.015909677 
                 0.138790113 
               
               
                 Gdap1I1 
                 −1.54 
                 0.009179673 
                 0.11467658 
                 Slc7a5 
                 −2.20 
                 2.31413E-05 
                 0.095689094 
               
               
                 Gng10 
                 −1.21 
                 0.002588582 
                 0.086670333 
                 Smad5 
                 −1.61 
                 0.004901503 
                 0.09560242 
               
               
                 Golga7b 
                 −1.87 
                 0.001909364 
                 0.080563454 
                 Smg6 
                 −1.24 
                 0.017127473 
                 0.142213057 
               
               
                 Gpank1 
                 −1.64 
                 0.019102915 
                 0.148339067 
                 Snf8 
                 −1.34 
                 0.005170006 
                 0.095437396 
               
               
                 Gpr179 
                 −2.00 
                 0.01498054 
                 0.136291604 
                 Sox4 
                 −1.27 
                 0.007765699 
                 0.108851405 
               
               
                 Gpx4 
                 −2.51 
                 0.00018998 
                 0.092419454 
                 Spell 
                 −1.92 
                 0.004990134 
                 0.096196761 
               
               
                 Grcc10 
                 −1.79 
                 0.001563515 
                 0.083962787 
                 Sppl3 
                 −1.81 
                 0.002555951 
                 0.087708344 
               
               
                 Gtf3c1 
                 −1.36 
                 0.004817553 
                 0.096234699 
                 Srgap1 
                 −1.35 
                 0.009156267 
                 0.114904893 
               
               
                 Gtf3c3 
                 −1.88 
                 0.003606567 
                 0.089300329 
                 Supt16 
                 −1.58 
                 0.003835092 
                 0.088840936 
               
               
                 Gys1 
                 −1.76 
                 0.000245862 
                 0.096822605 
                 Syp 
                 −1.87 
                 0.018382069 
                 0.146454441 
               
               
                 H2-D1 
                 −1.77 
                 0.0135443 
                 0.131778069 
                 Taco1 
                 −2.57 
                 0.001744262 
                 0.082902549 
               
               
                 H2afy2 
                 −2.12 
                 0.001308043 
                 0.086540124 
                 Tanc2 
                 −1.70 
                 0.008503234 
                 0.112695099 
               
               
                 Hccs 
                 −1.64 
                 0.011663701 
                 0.123983039 
                 Taok2 
                 −1.38 
                 0.009259735 
                 0.114809608 
               
               
                 Hddc2 
                 −1.60 
                 0.005092846 
                 0.095722351 
                 Tap1 
                 −1.31 
                 0.007978487 
                 0.109787173 
               
               
                 Hdgf 
                 −1.62 
                 0.010634103 
                 0.120636529 
                 Tarbp2 
                 −1.55 
                 0.002815519 
                 0.087865429 
               
               
                 Hint2 
                 −1.43 
                 0.005168414 
                 0.095621447 
                 Tbc1d10b 
                 −1.74 
                 0.000373055 
                 0.09348976 
               
               
                 Hjurp 
                 −1.21 
                 0.013971147 
                 0.132349811 
                 Tfe3 
                 −1.48 
                 0.008762503 
                 0.113405158 
               
               
                 Hmbox1 
                 −1.61 
                 0.011079272 
                 0.123152657 
                 Timmdc1 
                 −1.46 
                 0.001802237 
                 0.08056486 
               
               
                 Hmg20b 
                 −1.56 
                 0.008445314 
                 0.112468193 
                 TIn1 
                 −1.29 
                 0.001280647 
                 0.087528499 
               
               
                 Hnrnpa2b1 
                 −1.50 
                 0.004863143 
                 0.095986144 
                 Tlx3 
                 −1.29 
                 0.015054738 
                 0.136366579 
               
               
                 Hnrnpd 
                 −1.22 
                 0.002308404 
                 0.086382353 
                 Tmem164 
                 −1.34 
                 0.013223175 
                 0.130185311 
               
               
                 Hoxb4 
                 −1.63 
                 0.000825516 
                 0.083256348 
                 Tmem183a 
                 −1.33 
                 0.001889003 
                 0.080943295 
               
               
                 Hps5 
                 −1.48 
                 0.001772401 
                 0.082346956 
                 Tmem263 
                 −1.43 
                 0.01504702 
                 0.136446113 
               
               
                 Hsp90b1 
                 −1.22 
                 0.008208576 
                 0.111104626 
                 Tnpo2 
                 −1.70 
                 0.001442271 
                 0.083409633 
               
               
                 Htr7 
                 -3.05 
                 0.002583886 
                 0.087219324 
                 Tomm34 
                 −1.25 
                 0.003830744 
                 0.088989486 
               
               
                 Ibtk 
                 −1.59 
                 0.007488668 
                 0.107519591 
                 Tpm3 
                 −1.70 
                 0.001824402 
                 0.080683449 
               
               
                 Ift52 
                 −1.51 
                 0.008697761 
                 0.113276348 
                 Trp53bp2 
                 −1.59 
                 0.001627938 
                 0.083105248 
               
               
                 Irgq 
                 −2.00 
                 0.002412281 
                 0.08598949 
                 Tsc22d3 
                 −1.32 
                 0.009496045 
                 0.115829337 
               
               
                 Jmy 
                 −1.64 
                 0.007407929 
                 0.107291723 
                 Tsfm 
                 −1.53 
                 0.018760531 
                 0.147340541 
               
               
                 Jph2 
                 −1.64 
                 0.005233086 
                 0.095746953 
                 Usp33 
                 −1.88 
                 0.002397784 
                 0.086215971 
               
               
                 Jund 
                 −1.43 
                 0.001675411 
                 0.082967978 
                 Vps39 
                 −1.53 
                 0.014451723 
                 0.134589809 
               
               
                 Kat6a 
                 −1.22 
                 0.014624891 
                 0.134986439 
                 Wbscr16 
                 −1.92 
                 0.008014624 
                 0.110101231 
               
               
                 Katna1 
                 −1.67 
                 0.001203531 
                 0.086549571 
                 Zbtb18 
                 −1.69 
                 0.005474102 
                 0.095106768 
               
               
                 Kdm1a 
                 −1.25 
                 0.008659278 
                 0.113131483 
                 Zbtb38 
                 −1.30 
                 0.007939486 
                 0.109798572 
               
               
                 Kdm2a 
                 −1.30 
                 0.002986327 
                 0.089481618 
                 Zksca n6 
                 −1.27 
                 0.004774232 
                 0.096065441 
               
               
                   
               
            
           
         
       
     
     Example 2 
     Materials and Methods 
     Animals. Animals were housed on a 12 h light/dark cycle and had food and water available ad libitum. For experiments involving rule-shifting, animals were individually housed for the purposes of food restriction. All procedures were performed during the light cycle. All experiments were approved by the Institutional Animal Care and Use Committee at the University of Texas at Dallas and conducted in accordance with the National Institutes of Health and International Association for the Study of Pain guidelines. 4EKI and MNK1 KO mice were a gift of the Sonenberg laboratory at McGill University (Furic et al. 2010; Ueda et al., 2019) and bred at the University of Texas at Dallas (UTD) to generate experimental animals. Genotype was confirmed at weaning using DNA from ear clips. Experimental C57BL6/J wild-type (WT) animals were obtained from an internally maintained C57BL/6J colony at the University of Texas at Dallas. Twelve-week-old mice were used for all histology and rule-shifting experiments due to food restriction requirements (Jackson-Laboratory, 2019). All western blot, marble burying, and CPP behavioral experiments were conducted in 4-8-week-old mice with SNI being conducted at ˜4-5 weeks old, and all behavioral end points being observed at 7-8 weeks old. Male mice were used in all rule-shifting and immunohistochemistry experiments, except for a single experiment comparing male and female 4EKI mice, due to the inventors&#39; previously published work showing a sex difference in rule-shifting performance in which males are significantly more impaired than females 6 . As the inventors have never observed a sex difference in pain behaviors associated with pharmacological or genetic manipulations of the MNK-eIF4E system (Moy et al., 2017; 2018a; 2018b; Megat et al., 2019), they chose to use male and/or female mice in their experiments. The sex of the animal used in each experiment is indicated on the graphs. Experimenters performing behavioral experiments were blinded to genotypes and drug treatments. 
     Drugs. Tomivosertib (also known as eFT508) was provided by eFFECTOR under a Material Transfer agreement with UTD. Per eFFECTOR instructions, tomivosertib was dissolved in 10% 1-Methyl-2-pyrrolidinone, anhydrous (NMP; Sigma Cat #328634), 90% Propylene Glycol (PG; Fisher Cat #P355-1) with ˜1 eq. of HCl. Tomivosertib was given orally to WT mice at 10 mg/kg daily for 7 d for all rule-shifting, marble burying, von Frey, and histology experiments with the last injection occurring 1 hour before behavioral testing. For the CPP experiment, tomivosertib was given intraperitoneally (i.p.) at 10 mg/kg, but at a lower volume to avoid sedation from the drug vehicle (˜50 μL per injection). The inventors confirmed this volume of tomivosertib, or vehicle did not anesthetize the animals by conducting rotarod and open field on a mixed-sex cohort of naïve, vehicle, and tomivosertib-treated mice ( FIGS. 11A-C ). Intrathecal (i.t.) injections of clonidine (Sigma) were administered at 10 μg/5 μL, dissolved in 0.9% sterile saline. 
     Conditioned Place Preference. A previously published CPP protocol from the Walters laboratory protocol was used (Yang et al., 2014). The CPP box consisted of one black and one white chamber connected by a striped chamber. CPP was conducted in a dark room with a single low lumens light source (Maia 69E120-WH). The middle chamber of the CPP box was brightly illuminated to discourage mice from spending time in the middle chamber. The black and white end chambers had a different floor texture and odor (scented chapsticks applied to the ceiling). On day 1 of testing (preconditioning), each mouse was permitted to explore the middle and black (but not white) chambers for 30 minutes. Conditioning occurred on days 2-4, except for a single experiment using tomivosertib which had only one conditioning day. On conditioning days, the mice were given either vehicle (tomivosertib experiments; i.p.) or nothing (clonidine experiments) and then 1 h later they were confined to the black chamber for 30 minutes. Three hours later, the mice were given an injection of tomivosertib or vehicle (i.p., 10 mg/kg at 4 mg/mL) or clonidine (i.t., 10 μg/5 μL), and 1 hour later they were confined to the white chamber for 30 minutes. On the last day of CPP, each mouse was placed in the middle chamber with unrestricted access to all chambers and video-recorded for 10 min. Data are presented as the percent change in time spent in the drug-paired chambered compared to the control (vehicle or sham for each genotype or surgery). This was calculated by dividing each animal&#39;s time spent in the white box by the control average, multiplying by 100 and then subtracting 100. 
     Surgery. Spared nerve injury (SNI) was performed by the ligation and cutting of the tibial and peroneal branches of the left sciatic nerve trifurcation, leaving the sural branch intact as previously described (Decosterd and Woolf, 2000). Sham surgeries were performed the same way but without cutting the nerve. Mice were allowed to recover for 2 weeks following surgery. 
     Mechanical withdrawal threshold. Tactile sensitivity was measured by probing the left outer surface of the left hindpaw with a series of calibrated von Frey filaments. Mechanical withdrawal thresholds were assessed in all animals before (baseline) and after (2 weeks) surgery to confirm neuropathy. Withdrawal thresholds were calculated using the up-down method (Chaplan et al., 1994). 
     Attentional rule-shifting. Habituation: Mice were handled and gradually food restricted to 90% of their baseline weight over 3 weeks. Habituation took place over 3 days in which food rewards (Cheerio bits) were placed along each arm of a plusmaze. Mice were allowed to freely explore the maze and consume the food for 4 trials per day with a maximum time of 30 minutes per trial. When the mouse had consumed all of the food, the trial ended, and the mouse was returned to a holding cage while the maze was rebaited. The number of food pellets in each arm decreased from 4 to 2 to 1 on each consecutive day of habituation. Turn bias: On the fourth day the inventors assessed the animals&#39; turn bias. Therefore, the plus maze was converted into a T-maze by blocking off one of the arms. Mice were placed in the stem arm (starting arm) and allowed to turn left or right to obtain a food pellet. After the mouse consumed the reward, it was returned to the stem arm and allowed to make another choice. If the mouse chose the same arm as on the initial choice, it was returned to the stem arm until it chose the other arm and consumed the food pellet. The direction of the initial turn chosen four or more times over seven trials was considered the turn bias. Response Discrimination: On the next day, mice were trained on a response discrimination task that required them to always turn into one arm (left or right, chosen opposite to the direction of their turn bias) to obtain the food reward. The location of the stem arm (starting arm) was pseudorandomly alternated among 3 arms (East, West, and South) to prevent mice from using an allocentric spatial strategy to locate the food. A visual cue was placed close to the entrance of one of the choice arms. Placement of this cue into the right or left arm varied pseudorandomly to balance the frequency of occurrences in each arm across blocks of 12 consecutive trials. Similarly, the order of the stem arms alternated pseudorandomly in a balanced fashion across blocks of 12 trials. Training continued until the mouse made 9 correct choices over 10 consecutive trials or up to a maximum of 200 trials. When animals achieved this acquisition criterion, a probe trial was administered. In the probe trial the previously unused stem arm (North) was used as the starting arm. If the mice performed the probe trial correctly, Response Discrimination training was completed. If an incorrect turn occurred, response training continued until the mouse made another five consecutive correct choices, and then another probe trial was administered. Upon completion, the total number of trials was tallied, and animals were sorted into counterbalanced groups based on response values. SNI or sham surgeries were then conducted, followed by a 2-week recovery period. Retest: Approximately 3 weeks after surgery the mice were tested for retention of the response discrimination strategy. Retest day was a repeat of the response discrimination training day and took place on day 20 post surgery for all groups. Shift-to-Visual-Cue Discrimination: On the final day (day 21 post-surgery), mice were trained to shift their strategy to now follow the visual cue in order to obtain food rewards. The location of the visual cue and the position of the start arm were again varied pseudorandomly so that their frequency was balanced across blocks of 12 consecutive trials. The training and response criteria for the Shift-to-Visual-Cue Discrimination were identical to those during Response Discrimination. For the tomivosertib group, the final injection was delivered 1 hour prior to rule-shifting. Animals were timed while undergoing rule-shifting to account for any differences in locomotor or motivational behaviors due to analgesic treatment. Performance and Error Analysis: For each of the two test days, the inventors analyzed the total number of trials to criterion and the number of probe trials required to reach criterion. For the Shift-to-Visual-Cue Discrimination, errors were scored as entries into arms that did not contain the visual cue, and they were further broken down into three subcategories to determine whether the animals&#39; treatment altered the ability to either shift from the previously learned strategy (perseverative errors), or to maintain the new strategy after perseveration had ceased (regressive errors, or never-reinforced errors). In order to detect shifts in the strategies that animals used, trials were separated into consecutive blocks of four trials each. A perseverative error (PER) occurred when a mouse made the same egocentric response as required during the Response Discrimination, but which was opposite to the direction of the arm containing the visual cue. Six of every 12 consecutive trials required the mouse to respond in this manner. A perseverative error was scored when the mouse entered the incorrect arm on three or more trials per block of 4 trials where a perseverative error opportunity was possible. Once the mouse made fewer than three perseverative errors in a block, all subsequent errors of the same type were now scored as regressive errors (REG) because at this point the mouse was following an alternative strategy at least half of the time. So-called never-reinforced errors (NRE) were scored when a mouse entered the incorrect arm on trials where the visual cue was placed on the same side that the mouse had been trained to enter on the previous day. Together, these error types provide insight into whether SNI and/or eIF4E manipulation alters the ability of animals to shift strategies (PE) and/or to maintain the new strategy (NRE, REG). Experimental design and data presentation: All rule-shifting experiments were done on cohorts of male and/or female animals that were run over the course of 12 months. There were 10 experimental groups: Male WT Sham+vehicle, Male WT SNI+vehicle, Male WT Sham+tomivosertib, Male WT SNI+tomivosertib, Male 4EKI Sham, Male 4EKI SNI, Female 4EKI Sham, Female 4EKI SNI, Male MNK1 KO Sham, Male MNK1 KO SNI. Animals in each group were staggered and groups were run in a balanced manner. The same WT SNI+vehicle (WT SNI) and sham+vehicle (WT Sham) groups are shown in each figure for comparison to genetically-modified and tomivosertib-treated animals. 
     Marble burying task. The marble burying task was used to assess obsessive compulsive disorder (OCD)-like behaviors as previously described 28 . Nineteen marbles were placed on top of 5 cm of standard bedding in a clean cage. A mouse was placed into the cage for 30 minutes and then the number of buried marbles was counted. 
     Immunohistochemistry. All mice were perfused at 3 weeks post-surgery (the day after rule-shifting). Mice were deeply anesthetized with a mixture of ketamine (80 mg/kg) and xylazine (12 mg/kg; i.p.) and then transcardially perfused with 1× phosphate buffered saline (PBS; 4° C., pH 7.4) followed by 10% formalin in 0.1 M phosphate buffer (PB; 4° C., pH 7.4; 25 mL at a flow rate of 5 m/min) using a perfusion pump. Brains were dissected and transferred 10 to a 30% sucrose in 0.1M PB. Once the brains sunk in sucrose, they were frozen in OCT over dry ice. Coronal sections (30 μm) were cut using a cryostat and a hole was placed in the left hemisphere to demarcate the left (ipsilateral) hemisphere. Free floating sections were then washed in 0.1M PB, and then incubated in blocking solution (10% Normal Goat Serum, 0.3% Triton-X 100 in 0.1M PB) for 1 hr at room temperature with gentle rocking/agitation. Sections were incubated in primary antibody (mouse-anti-AnkyrinG; UC Davis/NIH NeuroMab Facility, clone N106/36 RRID:AB_10673030; 2 μg/ml working concentration) diluted in blocking solution for 3 hrs at room temperature. Sections were washed 5 times in 0.1 M PB, and then incubated in secondary antibody (goat-anti-mouse 488 IgG2a, Thermo Fisher Scientific, A21131; 1:2000) diluted in blocking solution containing DAPI (1:5000) for 1 hr at room temperature. Sections were washed 5 times in 0.1 M PB, mounted onto glass slides, cover-slipped using Prolong Gold Antifade (Thermo Fisher Scientific, P36930) and sealed with nail polish once cured. 
     Rotarod. Motor function was assessed using a rotarod (IITC Life Science rotarod series 8) with ramp speed (20 rpm acceleration) at a starting speed of 4 μm for a maximum of 120s. The time until each animal fell was recorded for each trial. Naïve mice were trained for 1 trial, and then 2 baseline trials were conducted and scores for both trials were averaged. Tomivosertib (10 mg/kg i.p ˜50 μL) or vehicle was then injected, and 1 hour later all mice were tested twice more, and their scores were averaged. 
     Open field. Naïve, tomivosertib (10 mg/kg i.p. ˜50 μL) or vehicle-treated mice were tested in an open field (60 cm×60 cm white box) 1 hour after injection. Movement in the maze was video recorded for 10 minutes via ceiling-mounted cameras and tracked using a custom script in MATLAB-2015b. The script outputs total distance traveled and path tracking. 
     Image Analysis. Axon initial segments (AIS—Ankyrin-G antibody): A minimum of 3 z-stacked images of infralimbic cortex (IL) were acquired at 40× magnification for each animal using an Olympus confocal microscope (FV1200). Images were converted to tiff format with randomized file names (for blinding). Images were brightened and contrasted with the same settings across all groups. For each image, 30 segments were analyzed in layers 2/3 and layers 5/6 of the ipsilateral and contralateral IL in CellSens (Olympus) using the polyline measure tool. Length measurements were averaged (3 images per animal). 100× images are also shown in the figures. 
     Western blotting. Naïve WT mice were decapitated following anesthesia 1 hour after tomivosertib (p.o. or i.p.) or vehicle injection. The mPFC and DRGs were rapidly microdissected under a dissecting microscope and then flash frozen on dry ice. The mPFC was similarly collected from a separate group of WT male and female sham and SNI mice at 21 days post injury (the same time point as all rule-shifting experiments). Frozen tissues were homogenized with a pestle in lysis buffer (50 mM Tris, pH 7.4, 150 mM NaCl, 1 mM EDTA, pH 8.0, and 1% Triton X-100) containing protease and phosphatase inhibitors (Sigma-Aldrich), and then sonicated briefly. Samples were centrifuged at 14,000 rpm for 15 min at 4° C. 10 μg of protein was loaded into each well and separated by a 10%-12% SDS-PAGE gel. Proteins were transferred to a 0.45 μm PVDF membrane (Millipore) at 30 V overnight at 4° C. The next day, membranes were blocked with 5% non-fat dry milk (NFDM) in 1× Tris buffer solution containing Tween 20 (TTBS) for 1 h. Membranes were washed in 1×TTBS 3 times for 5 min each, then incubated with primary antibody overnight at 4° C. The primary antibodies used were: phospho-eIF4E (abcam ab76256; 1:1000), GAPDH (Cell Signaling Technology 2118S; 1:10000), total eIF4E (Cell Signaling Technology 9742S; 1:1000). The following day, membranes were washed 3 times in 1×TTBS for 5 min each, then incubated with the corresponding secondary antibody at room temperature for 1 h. Membranes were then washed with 1×TTBS 5 times for 5 min each. Signals were detected using Immobilon Western Chemiluminescent HRP substrate (Millipore). Bands were visualized using a Bio-Rad ChemiDoc Touch. Membranes were stripped using Restore Western Blot Stripping buffer (Thermo Fisher Scientific) and reprobed with another antibody. Analysis was performed using Image Lab (Bio-Rad). Data are presented as p-eIF4E/total eIF4E normalized to control. 
     Extracellular electrophysiology. Substrate-integrated microelectrode array (MEA) recordings were performed using PDL and laminin pre-treated 12-well MEA plates (Axion Biosystems, USA) and an Axion Maestro recording system. DRG sensory neurons were dissected, dissociated, and seeded as previously described (Moy et al., 2017). Tomivosertib experiments were carried out 15 days after DRG culture seeding. Cultures were maintained at 37° C., 5% CO 2 , and ≥90% humidity throughout the recordings. Briefly, 30 min baseline recordings were carried out following a 30 min acclimation period. Following the baseline recording period, cultures were treated with either interleukin-6 (IL-6; 100 ng/ml final concentration; n=11 wells) only, IL-6 plus tomivosertib (25 nM final concentration; n=11 wells), or tomivosertib only (n=7 wells). Recordings were then collected continuously for 3 hours. IL-6 and tomivosertib were added at 1:1000 as high-concentration boluses. Online and offline MEA data analysis was performed using Axion&#39;s AxIS, NeuralMetrics Tools, and NeuroExplorer (NeuroExplorer, USA). Physiologically relevant extracellular action potentials were defined as previously described 29 . 
     Data Analysis and Statistics. Graphs and statistical analyses were generated using GraphPad Prism version 7.01, except for the MEA experiment, which was assessed using Axion&#39;s AxIS, NeuralMetrics Tools, and NeuroExplorer. Statistical differences between groups were assessed using one- and two-way ANOVAs followed by Bonferroni corrected multiple t-tests for analysis with more than three groups or unpaired t-tests for tests with only two groups as indicated in the text and figure captions. All statistics including F and exact p-values are shown in Tables 6A, 6B, and 6C). All data are represented as mean±SEM with p&lt;0.05 considered significant. The sample size and sex of all subjects are indicated in the graphs and/or figure captions. 
     Results 
     Genetic inhibition of eIF4E phosphorylation rescues pain-related cognitive impairment in an attentional rule-shifting task. The inventors used a rule-shifting task ( FIG. 17A ) to assess neuropathic pain-related impairments in cognitive flexibility in WT and 4EKI mice, a genetically modified mouse strain in which the MNK phosphorylation site on eIF4E is mutated to render it phosphorylation null. On response training day, groups showed no differences in acquisition of the response training strategy ( FIG. 11B ). The next day, the animals were given SNI or sham surgeries and they were then retested on the original response strategy 20 days post-surgery. Male 4EKI and WT animals showed no deficits on retest day, indicating that neither surgery nor eIF4E phosphorylation disrupts retention of the initial response strategy ( FIG. 11B ). On day 21 post-surgery, all groups were required to switch strategies (rule-shifting) to receive food reward. Male WT SNI mice were significantly impaired on rule-shifting day when compared to WT sham, 4EKI SNI, and 4EKI sham mice ( FIG. 11B ). Male SNI WT mice made significantly more never-reinforced (NRE) and regressive (REG) type errors, but not perseverative errors (PER), compared to WT sham controls and 4EKI sham and SNI mice, suggesting there was an issue with maintenance of the new strategy ( FIG. 11C ). The inventors have previously shown a large sex difference in rule-shifting performance with males being significantly more impaired than females in the attentional rule-shifting task (Shiers et al., 2018), so they focused most of the rule-shifting experiments on male mice. However, when they tested female 4EKI mice, female SNI mice showed no impairment on response, retest, nor rule-shifting day when compared to female sham or male sham or SNI mice ( FIG. 11D ). 
     Disruption of eIF4E phosphorylation prevents PNI-induced spontaneous pain. Female WT and 4EKI mice with sham or SNI surgeries were assessed for ongoing pain in a CPP apparatus in which the conditioning drug was clonidine, an α2 adrenergic receptor agonist (King et al., 2009). Following conditioning, WT SNI animals spent significantly more time (˜30% more time) in the clonidine-paired chamber compared to WT sham controls, suggesting that the chamber was rewarding due to analgesia. 4EKI SNI mice showed no significant difference in time spent in the drug-paired chamber compared to 4EKI sham controls ( FIG. 12A ), indicating that the loss of eIF4E phosphorylation protects against the development of spontaneous pain following PNI ( FIG. 12A ). WT and 4EKI SNI animals were mechanically hypersensitive when withdrawal thresholds were assessed 14 days post-surgery ( FIG. 12B ). Importantly, clonidine significantly attenuated mechanical hypersensitivity when assessed 2 hours after injection on each CPP conditioning day ( FIG. 12B ), demonstrating that clonidine is pharmacologically active in both genotypes. These experiments indicate that although 4EKI mice show mechanical allodynia after PNI, they fail to display signs of spontaneous pain. 
     Pharmacological and genetic inhibition of MNK reverses PNI-induced impairments in rule-shifting. Experiments in 4EKI mice implicate eIF4E phosphorylation in PNI-induced spontaneous pain and rule-shifting deficits but they do not determine whether these effects can be reversed via inhibition of the MAPK signaling pathway once PNI-neuropathic pain is well-established. The FIG. hypothesized that pharmacological inhibition of MNK1/2, the only two known kinases responsible for phosphorylation of eIF4E, would fully reverse rule-shifting deficits. Before surgery and drug treatment naïve WT male animals were trained on the response strategy. There was a significant difference in baseline performance in this cohort of mice; however, these differences disappeared once animals successfully learned the original discrimination, and accordingly no behavioral differences were observed on Retest Day ( FIG. 13A ). Two weeks following surgery, WT SNI and sham animals were given a daily treatment of either vehicle or tomivosertib (10 mg/kg p.o.) for 7 days. Retest took place on day 6 of injections, and all groups showed no differences in retention of response training (FIG.  13 A). Rule-shifting took place one hour after the final injection on day 7. SNI animals treated with tomivosertib showed no cognitive impairment on rule-shifting day when compared to SNI+vehicle animals ( FIG. 13A ). Tomivosertib-treated SNI animals made significantly fewer NRE and REG type errors compared to the SNI+vehicle group ( FIG. 13B ). Despite the profound effect on PNI-induced rule-shifting deficits, tomivosertib-treatment had no effect on mechanical withdrawal thresholds when assessed 1 or 3 hours after treatment on days 1 and 5 of the 7-day treatment schedule ( FIG. 13C ). 
     Tomivosertib acts via both MNK1 and 2. The inventors&#39; previous experiments in chemotherapy-induced neuropathic pain suggest that MNK1 is a key isoform driving pain induced by chemotherapy (Megat et al., 2019). To test whether MNK1 plays a similar dominant role in PNI-induced neuropathic pain, the inventors used a full-body knockout strain for MNK1. They tested these mice in the rule-shifting task. Naive WT and MNK1 KOs mice showed no differences in performance on response training day, indicating knockout of the MNK1 gene does not impair acquisition of the initial response strategy ( FIG. 13D ). However, when tested 20 days after surgery (retest day), the MNK1 KO animals showed significantly impaired retention of response training, suggesting that MNK1 may be important for long-term memory ( FIG. 13D ). However, MNK1 KO mice with SNI showed no deficit in rule-shifting performance ( FIG. 13D ) and made significantly fewer NRE and REG errors when compared to WT SNI animals ( FIG. 13E ). Similar to previous reports in neuropathic 4EKI mice (Moy et al., 2017), MNK1 KO SNI animals showed a slight attenuation in tactile allodynia 4 days after surgery compared to WT SNI animals but showed no differences to WT SNI animals on days 7, 11, 14, and 17 post SNI ( FIG. 13F ). 
     While the number of trials to criterion during rule-shifting did not differ from WT sham mice, MNK1 KO SNI animals took significantly longer to complete the rule-shift, with each trial taking ˜1.5-2 minutes on average to complete ( FIG. 16A ). WT mice took less than 1 min, on average. These MNK1 KO animals appeared distracted in the maze and were grooming, staring at walls, or repetitively jumping to escape the maze, leading to the prolonged rule-shifting time. The inventors did not observe the same type of behaviors during rule-shifting in either the 4EKI mice (not shown), nor in the tomivosertib-treated animals ( FIG. 16B ). They used a marble burying task to test if these behaviors were reflective of obsessive-compulsive disorder (OCD)-like traits. The tomivosertib-treated and vehicle controls showed no differences in marble burying compared to the WT naïve group ( FIG. 16C ); however, the 4EKI and MNK1 KO mice buried significantly more marbles than WT naïve mice, suggesting that disruption of eIF4e signaling throughout development causes OCD-like symptoms ( FIG. 16C ). Additionally, the inventors observed another OCD-like behavior in 4EKI and MNK1 KO mice (but not WT animals) in which these animals display stereotypic jumping behaviors, especially during their dark cycle (data not shown). 
     Pharmacological targeting of MNK1/2 reverses PNI-induced spontaneous pain. The pharmacokinetics of tomivosertib have been described in detail (Reich et al., 2018); however, in order to understand if tomivosertib can reduce spontaneous pain in PNI mice, the inventors examined the onset of tomivosertib effects after p.o. or i.p. dosing. As elevated eIF4E phosphorylation has been previously observed in DRG neurons and their axons in chronic pain conditions (Melemedjian et al., 2011; Megat et al., 2019), the inventors investigated how tomivosertib affected eIF4E phosphorylation in lumbar (L3-L5) DRG, sciatic nerve, and mPFC. Western blot analysis of mPFC, DRG, and sciatic nerve from naïve mice revealed a rapid and profound decrease in eIF4E phosphorylation 1 hour after tomivosertib treatment via both administration routes ( FIG. 14A ). 
     Having determined that tomivosertib acts rapidly to inhibit eIF4E phosphorylation after i.p. dosing, the inventors sought to determine if the drug could induce CPP in animals with SNI. To do this they used a single conditioning day of tomivosertib or vehicle (i.p) pairings with the white chamber. SNI animals that received tomivosertib in the white chamber spent ˜40% more time in that chamber on test day compared to SNI animals that only received vehicle. This 40% increase in time was significantly different than the change in time in the sham-tomivosertib treated animals ( FIG. 14B ). This result supports the conclusion that MNK1/2 inhibition with tomivosertib can reduce spontaneous pain caused by PNI. 
     Although the inventors used oral dosing of tomivosertib for the rule-shifting experiment, they used i.p. injections in their CPP experiment to avoid a potential stress-aversion to the conditioning chamber brought about by the gavage. The concentration of the drug was raised in order to deliver a smaller volume of vehicle and drug as the vehicle given at high volumes intraperitoneally can anesthetize the animal (note: oral injections do not have this effect). The mice appeared active in their cages 1 hr after drug-administration at the lower volume and the inventors confirmed this observation by open field ( FIG. 17A ) and by rotarod ( FIG. 17C ). No significant differences were seen between naïve, vehicle nor tomivosertib-treated mice in the rotarod test. Total distance traveled and movement speed was decreased in the vehicle and tomivosertib-treated mice compared to naïve controls in the open field; however, they were still active as exemplified in their exploration maps ( FIG. 17B ). 
     Given the CPP effect, the inventors assessed whether tomivosertib could reduce nociceptor firing and elucidate a mechanism for the reduction in spontaneous pain. They used microelectrode array recordings of cultured mouse DRG neurons exposed to interleukin 6 (IL-6), a cytokine that evokes pain via an action that is dependent on nociceptor expression of its receptor gp130 and that depends on eIF4E phosphorylation. Tomivosertib significantly reduced spontaneous firing induced by IL-6 treatment ( FIG. 14C ). 
     Finally, the inventors assessed if eIF4E phosphorylation is changed in the mPFC after SNI in male or female mice. The inventors&#39; previous work has demonstrated that eIF4E phosphorylation is profoundly upregulated in the DRG of chemoneuropathic mice (Megat et al., 2019) and in the sciatic nerve of SNI mice and rats over a similar time course to experiments performed here (Melemedjian et al., 2011). In contrast to the peripheral changes in eIF4E phosphorylation brought about by PNI, they did not observe a difference in eIF4E phosphorylation in the mPFC 3 weeks after injury ( FIG. 14D ). 
     Inhibition of eIF4E signaling reverses PNI-induced changes in AIS length in the infralimbic cortex. Structural changes in AIS length are linked to changes in neuronal excitability and homeostatic plasticity. Increased or decreased presynaptic input will shorten or lengthen, respectively, the AIS and shift the action potential initiation site to reduce or augment neuronal excitability (Grubb &amp; Burrone, 2010; Kuba et al., 2010; Grubb et al., 2011). The inventors have previously shown that SNI leads to a reduction in AIS length in layer 5/6 of the infralimbic cortex ipsilateral and contralateral to the site of SNI. This AIS shrinkage correlates to deficits in rule-shifting performance caused by PNI (Shiers et al., 2018). They assessed if this structural plasticity was also present in 4EKI, MNK1 KO, and tomivosertib-treated animals. Tomivosertib-treated animals were given p.o. treatments (10 mg/kg) for 7 days starting on day 14 after SNI. The inventors observed axon initial segment shrinkage in layer 5/6 of the ipsilateral and contralateral infralimbic cortices ( FIG. 15A ) in WT SNI ( FIG. 15B ) male mice, but not male 4EKI ( FIG. 15C ), male MNK1 KO ( FIG. 15D ), nor tomivosertib treated male SNI mice ( FIG. 15E ). This finding correlates with behavioral performance after SNI in these treatment groups and strongly supports the idea that spontaneous pain may drive rule-shifting deficits and mPFC pathology after PNI. 
     Discussion 
     Cognitive dysfunction is a debilitating comorbidity of chronic pain which diminishes quality of life in patients. Commonly prescribed analgesics often have no effect or even worsen pain-related cognitive impairment, indicating that there is a disconnect between the management of pain and its comorbidities (Eccleston, 1995; Povedano et al., 2007; Schiltenwolf et al., 2014; Richards et al., 2018; APF, 2006). Human brain neuroimaging (Apkarin et al., 2004; Schmidt-Wilcke et al., 2005; Davis et al., 2008; Kuchinad et al., 2007) and preclinical studies (Shiers et al., 2018; Metz et al., 2009; Seminowicz et al., 2009; Ji et al., 2010; Zhang et al., 2015; Kelly et al., 2016; Cheriyan &amp; Sheets, 2018) have revealed that chronic pain causes functional and morphological reorganization of prefrontal cortex subregions which may contribute to pain-induced cognitive dysfunction. However, the underlying mechanisms behind these changes are still unknown, making it difficult to generate new therapeutics that can simultaneously target pain and comorbidities of the disease. The inventors&#39; findings show that targeting MNK1-eIF4E signaling inhibits and reverses rule-shifting deficits associated with PNI, and it reduces spontaneous pain, which is the most important clinical complaint of neuropathic pain patients. The inventors conclude that the specific MNK1/2 inhibitor tomivosertib has great potential to impact neuropathic pain. 
     An important question is whether the effects the inventors have observed here are mediated by a central or peripheral site of action. The inventors hypothesize that the site of action is likely peripheral. Previous studies in multiple neuropathic pain models in both rats and mice have demonstrated that eIF4E phosphorylation is increased in DRG neurons and their axons over the course of neuropathic pain (Melemedjian et al., 2011; Megat et al., 2019). Moreover, electrophysiological experiments using tomivosertib and other MNK inhibitors, as well as genetic experiments in 4EKI mice, have shown that many cytokines and growth factors associated with neuropathic pain fail to sensitize nociceptors when MNK signaling is blocked (Moy et al. 2017). This also includes reversal of spontaneous activity in nociceptors from mice treated with chemotherapy (Megat et al., 2019). Insofar as spontaneous activity in nociceptors is likely the key driver of spontaneous pain in rodent models and in patients suffering from neuropathic pain, MNK inhibition might be particularly suited to address this most salient feature of neuropathic pain. In support of this conclusion, the inventors found that tomivosertib-treatment resolved ectopic activity after IL-6 treatment in cultured DRG neurons and induced CPP in neuropathic mice. 
     Genetic and pharmacological targeting of eIF4E also reversed deficits in rule-switching performance. The inventors&#39; interpretation of these findings is that disruption of MNK-eIF4E signaling in the DRG is leading to a resolution of ectopic activity in nociceptors, and of ascending nociceptive signaling to the brain, resulting in improved cognitive function. Indeed, ascending nociceptive projections terminate in several key brain regions that project to the mPFC and are implicated in cognitive dysfunction in pain. The most compelling evidence supports a central and basolateral amygdala (CeA-BLA) projection in which nociceptive information arising from the spino-parabrachio-amygdala pain pathway (Gauriau &amp; Bernard, 2002) leads to enhanced activity in CeA (Goncalves &amp; Dickenson, 2012) and BLA neurons after injury (Ji et al., 2010; Neugebauer et al., 2004). BLA hyperactivity in models of arthritic pain leads to enhanced glutamatergic signaling to the PrL resulting in augmented feedforward inhibition, PrL deactivation and cognitive impairment (Ji et al., 2010). It is likely that resolution of nociceptor ectopic activity via MNK-eIF4E inhibition corrects this enhanced nociceptive drive, leading to restoration of cognitive function in the rule-shifting task. 
     Importantly, the inventors did not see signs of increased MNK-eIF4E signaling in the mPFC of SNI mice, suggesting that the mPFC is unlikely to be the site of action of genetic or pharmacological interventions. However, tomivosertib clearly crosses the blood-brain-barrier as evidenced by western blot analyses of eIF4E phosphorylation after drug-treatment. Therefore, it is possible that a decrease in eIF4E phosphorylation from baseline levels could be responsible for restoration of cognitive function after SNI; however, the inventors do not have evidence to support this conclusion. Additionally, it is possible that eIF4E signaling could be disrupted in other regions that project to the mPFC. To distinguish between central and peripheral contributions, nociceptor-specific manipulation of MNK1 and development of a peripherally-restricted MNK1/2 inhibitor will be a priority for future investigations. 
     While the inventors favor a peripheral hypothesis, the inventors cannot rule out an effect of eIF4E phosphorylation in the CNS. eIF4E dysregulation has been identified in a variety of neuropsychiatric disorders including autism, fragile x syndrome, schizophrenia, and depression/anxiety 50 . MNK-eIF4E signaling appears to regulate serotonin neurotransmission in the brain, and deficits in eIF4E phosphorylation can lead to depressive phenotypes (Amorim et al., 2018). Those effects can be recapitulated with pharmacological treatments in adult animals (Aguilar-Valles et al., 2018). While genetic manipulation of MNK-eIF4E caused OCD-like behaviors in the inventors&#39; experiments, pharmacological inhibition of MNK using tomivosertib, even over a week of treatment, did not have an effect. This suggests that the OCD-like phenotype the inventors observed in both genotypes is developmentally regulated and is unlikely to arise with pharmacological treatment in adults. 
     It is notable that the inventors observed strong effects on spontaneous pain and attentional rule shifting without any clear effect on mechanical allodynia. This is likely explained by a difference in the type of afferent fibers that are required for mechanical allodynia in different models. Mechanical allodynia, as measured with punctate stimulation with traditional von Frey filaments, is absent in inflammatory mouse models when all nociceptors are ablated, whereas SNI-induced mechanical allodynia persists in the absence of these fibers (Abrahamsen et al., 2008). This indicates that Aβ fibers are sufficient to mediate mechanical allodynia following SNI. On the other hand, cold allodynia requires the TRPM8-population of nociceptors (Knowlton et al., 2013). In MNK KO and 4EKI mice many forms of inflammatory mechanical allodynia and cold hypersensitivity after SNI are strongly attenuated (Moy et al., 2017). This indicates that nociceptors are most strongly affected by inhibition of MNK-eIF4E signaling. Insofar as nociceptor spontaneous activity is a key driver of spontaneous neuropathic pain (North et al., 2019), and inhibition of MNK-eIF4E signaling also reduces this form of intrinsic plasticity in these cells (Megat et al., 2019), this effect likely explains why MNK inhibition reduces spontaneous pain. This effect on spontaneous pain occurs within 1.5 hrs in vivo as shown by the CPP experiment time course. The inventors&#39; previous work demonstrates that MNK inhibition leads to resolution of spontaneous activity in nociceptors taken from mice with neuropathic pain within 20 minutes (Megat et al., 2019). It is interesting that such a strong effect on spontaneous pain cannot influence mechanical allodynia in neuropathic pain, but this may reflect a lack of effect of MNK-eIF4E signaling on spinal disinhibition which is a key driver of Aβ-fiber driven allodynia after PNI (Price &amp; Prescott, 2015). 
     Change in AIS length is a homeostatic mechanism for neurons to maintain neuronal excitability by regulating the expression of voltage-gated channels (Leterrier, 2018; Kuba et al., 2015). The inventors observed AIS shrinkage in bilateral layer 5/6 IL neurons which correlated to poor performance in the rule-shifting task. While they did not use cell-specific markers to identify which cortical neurons the inventors were measuring, they are confident that the majority, if not all, of the AISs measured were from pyramidal neurons. Pyramidal cells have a very unique, organized and defined cytoarchitecture in which their axons travel distally from the cell body while interneurons have axons that can stem in any direction. The inventors only measured axons that showed a pyramidal neuron-like AIS label. AIS shrinkage is a sign of enhanced presynaptic input. Previous studies found that IL neurons show no changes in functional activity 1 week after SNI 46,57  but this may change at later time points where AIS shrinkage is clearly occurring in the IL. 
     The inventors speculate that this AIS loss may partially underlie frontal cortex gray matter loss seen in chronic pain patients. Others have observed changes in dendritic morphology (Metz et al., 2009; Kelly et al., 2016; Mitric et al., 2019) in rodent mPFC after SNI, suggesting that neuronal structural reorganization may underlie cortical thinning. It is important to note that there are only two methods known to reverse cortical thinning in patients: cognitive behavioral therapy (Seminowicz et al., 2013) and effective pain management (Rodriguez-Raecke et al., 2009; 2013; Seminowicz et al., 2011). Cortical gray matter restoration has been observed in patients with hip osteoarthritic pain whose pain dissipated after undergoing total hip replacement surgery Rodriguez-Raecke et al., 2009; 2013) and in chronic low back pain patients after spinal surgery or facet joint injections (Seminowicz et al., 2011). Increases in cortical thickness in chronic low back pain patients, particularly in the left dorsolateral prefrontal cortex, the rodent equivalent of the mPFC, correlated to a reduction in pain and physical disability and improved cognitive performance in an attentional-demanding task (Seminowicz et al., 2011). Similarly, in the inventors&#39; neuropathic mice, effective, long-term pain management via both tomivosertib and metformin (Shiers et al., 2018), an AMPK activator and upstream regulator of eIF4E activity, attenuated both cognitive deficits and AIS shrinkage in the IL. 
     The inventors conclude that MNK-eIF4E signaling plays a crucial role in the generation of spontaneous pain and rule-shifting deficits that develop as a consequence of PNI. Surprisingly, these important features of neuropathic pain can be mitigated with genetic or pharmacological approaches without having any effect on mechanical allodynia. Because mechanical allodynia is the most commonly utilized test for neuropathic pain in preclinical models, these results demonstrate that this approach can overlook potential therapeutic approaches that target the most salient complaints of neuropathic pain: spontaneous pain and cognitive comorbidities. These results make a strong case for further exploration of tomivosertib, which is already in human clinical trials for cancer, as a novel neuropathic pain treatment. 
     
       
         
           
               
             
               
                 Table 4 
               
             
            
               
                   
               
               
                 Two-Way ANOVA 
               
            
           
           
               
               
               
               
               
            
               
                   
                   
                 Source of Variation 
                 Time/Day Location or Error 
                   
               
               
                   
                   
                 Surgery/Treatment/Genotype 
                 Type 
                 Interaction 
               
            
           
           
               
               
               
               
               
               
               
               
               
               
               
            
               
                 Fig 
                 Panel 
                 dfn.dfd 
                 F 
                 p 
                 dfn.dfd 
                 F 
                 p 
                 dfn.dfd 
                 F 
                 P 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
               
               
               
            
               
                 1 
                 B 
                 3.78 
                 16.68 
                 &lt;0.0001 
                 2.78 
                 63.98 
                 &lt;0.0001 
                 6.78 
                 7.211 
                 &lt;0.0001 
               
               
                   
                 C 
                 3.76 
                 18.06 
                 &lt;0.0001 
                 2.78 
                 11.23 
                 &lt;0.0001 
                 6.76 
                 2.642 
                 0.0219 
               
               
                   
                 D 
                 3.96 
                 0.3953 
                 0.7567 
                 2.86 
                 52.52 
                 &lt;0.0001 
                 6.96 
                 1.217 
                 0.3045 
               
               
                 2 
                 B 
                 3.155 
                 5.38 
                 0.0015 
                 4.155 
                 13.19 
                 &lt;0.0001 
                 12.155 
                 2.552 
                 0.0040 
               
               
                 3 
                 A 
                 3.60 
                 8.841 
                 &lt;0.0001 
                 2.60 
                 59.44 
                 &lt;0.0001 
                 6.60 
                 7.07 
                 &lt;0.0001 
               
               
                   
                 B 
                 3.60 
                 11.81 
                 &lt;0.0001 
                 2.60 
                 14.32 
                 &lt;0.0001 
                 6.60 
                 0.979 
                 0.4475 
               
               
                   
                 C 
                 1.36 
                 0.205 
                 0.6535 
                 5.36 
                 184.5 
                 &lt;0.0001 
                 5.36 
                 0.4962 
                 0.7988 
               
               
                 4 
                 C 
                 1.10 
                 0.6314 
                 0.3430 
                 1.10 
                 0.9907 
                 0.3430 
                 1.10 
                 0.9997 
                 0.3430 
               
               
                 5 
                 A 
                 3.60 
                 5.411 
                 0.0023 
                 2.60 
                 23.72 
                 &lt;0.0001 
                 6.60 
                 13.76 
                 &lt;0.0001 
               
               
                   
                 B 
                 3.60 
                 16.71 
                 &lt;0.0001 
                 2.60 
                 16.69 
                 &lt;0.0001 
                 6.60 
                 1.396 
                 0.2311 
               
               
                   
                 C 
                 1.722 
                 2.997 
                 0.0877 
                 5.72 
                 272.5 
                 &lt;0.0001 
                 5.72 
                 1.552 
                 0.1848 
               
               
                 6 
                 A 
                 3.54 
                 27.38 
                 &lt;0.0001 
                 2.54 
                 0.9642 
                 0.3877 
                 6.56 
                 1.359 
                 0.2477 
               
               
                   
                 B 
                 3.54 
                 6.283 
                 0.0010 
                 2.54 
                 3.78 
                 0.0291 
                 6.54 
                 0.6796 
                 0.6667 
               
               
                 7 
                 B 
                 1.32 
                 23.13 
                 &lt;0.0001 
                 3.32 
                 9.854 
                 &lt;0.0001 
                 3.32 
                 8.103 
                 0.0021 
               
               
                   
                 C 
                 1.32 
                 0.3533 
                 0.5565 
                 3.32 
                 2.468 
                 0.0799 
                 3.32 
                 0.6801 
                 0 5707 
               
               
                   
                 D 
                 1.28 
                 1.11 
                 0.3010 
                 3.28 
                 0.1937 
                 0.8998 
                 3.28 
                 0.3788 
                 0.7690 
               
               
                   
                 E 
                 1.16 
                 86.16 
                 &lt;0.0001 
                 3.16 
                 33.56 
                 &lt;0.0001 
                 3.16 
                 16.75 
                 &lt;0.0001 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 5 
               
             
            
               
                   
               
               
                 One-Way ANOVA with Bonferroni or Unpaired T-test as Indicated 
               
               
                 One-way ANOVA 
               
            
           
           
               
               
               
               
               
               
               
            
               
                   
                   
                 Between 
                 Within 
                   
                   
                   
               
               
                   
                   
                 treatment 
                 treatment 
                   
                   
                 Bonferroni 
               
            
           
           
               
               
               
               
               
               
               
               
               
            
               
                 Fig 
                 Panel 
                 MS 
                 MS 
                 dfn.dfd 
                 F 
                 p 
                 Comparison 
                 p 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
               
            
               
                 2 
                 A 
                 7651 
                 841 3 
                 3.31 
                 9.369 
                 0.0001 
                 Sham WT vs SNI WT 
                 0.0126 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham WT vs Sham 4EKI 
                 0.3913 
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI WT vs Sham 4EK1 
                 0.0126 
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI WT vs SNI 4EKI 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 0.3911 
               
               
                 4 
                 A-mPFc 
                 6012 
                 103.2 
                 2.9 
                 58.26 
                 &lt;0.0001 
                 Veh vs torn p.o. 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Veh vs torn i.p. 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom p.o. vs tom i.p. 
                 0.2535 
               
               
                 4 
                 A-DRG 
                 8839 
                 1069 
                 2.9 
                 6.268 
                 0.0092 
                 Veh vs torn p.o. 
                 0.0217 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Veh vs tom i.p. 
                 0.0176 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom p.o. vs tom i.p. 
                 &gt;0.9999 
               
               
                 4 
                 B-0h 
                 0.169 
                 0.303 
                 2.26 
                 0.558 
                 0.5786 
                 IL-6 + tom vs IL6 only 
                 0.12 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 
                 0.99 
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom only 
                 0.42 
               
               
                   
                 B-1h 
                 1.836 
                 0.339 
                 2.26 
                 5.408 
                 0.0108 
                 IL-6 + tom vs IL6 only 
                 0.032 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 only 
                 0.039 
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom only 
                 0.96 
               
               
                   
                 B-3h 
                 1.802 
                 0.339 
                 2.26 
                 5.655 
                 0.009 
                 IL-6 + tom vs IL6 only 
                 0.01 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 only 
                 0.041 
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom only 
                 0.67 
               
               
                 6 
                 C 
                 4107 
                 273.6 
                 6.48 
                 15.01 
                 &lt;0.0001 
                 WT naive vs MNK1 KO Sham 
                 0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs MNK1 KO naive 
                 0.0164 
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs MNK1 KO SNI 
                 0.0012 
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs 4EKI naive  
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs WT vehicle 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs WT tom 
                 &gt;0.9999 
               
               
                   
               
            
           
           
               
            
               
                 Unpaired t-test 
               
               
                   
               
            
           
           
               
               
               
               
            
               
                 Fig 
                 Panel 
                 Comparison 
                 p 
               
               
                 4 
                 D 
                 SNI + Veh vs SNI + tom 
                 0.0362 
               
               
                   
               
            
           
         
       
     
     Example 3 
     Materials and Methods 
     Animals. Male eIF4E S209A  and MNK1 −/−  mice were a gift of the Sonenberg laboratory at McGill University (Ueda et al., 2004; Furic et al., 2010) and bred at the University of Texas at Dallas (UTD) to generate experimental animals. Genotype was confirmed at weaning using DNA from ear clips. Experimental C57BL/6J wild-type (WT) animals were obtained from an internally maintained C57BL/6J colony at UTD. Electrophysiological experiments using WT mice were performed using mice between the ages of 4 and 6 weeks at the start of the experiment. Behavioral experiments using eIF4E S209A , MNK1 −/−  (knockout for the Mknk1 gene) and WT mice were performed using mice between the ages of 8 and 12 weeks, weighing ˜20-25 g. All animal procedures were approved by the Institutional Animal Care and Use Committee at The University of Texas at Dallas and were performed in accordance with the guidelines of the International Association for the Study of Pain. 
     Antibodies and chemicals. Rabbit primary antibodies against p-eIF4E S209  (cat #ab76256, 1:500) and p-PKR (ab32036, 1:1000) were procured from Abcam. Mouse anti-NeuN antibody (cat #MAB377, 1:500) was obtained from Millipore. Chicken (for ICC, cat #CPCA-Peri, 1:500) and mouse (for IHC, cat #MAB1527, 1; 1000) primary antibodies against peripherin were obtained from Encor Biotechnology Inc. and Sigma-Aldrich, respectively. Rabbit primary antibodies against p-JAK1 (cat #33315, 1:1000), JAK1 (cat #3332S, 1; 1000), p-STAT1 (cat #9171, 1:000), STAT1 (cat #91725, 1:1000), p-STAT3 (cat #91345, 1:1000), STAT3 (cat #91325, 1:1000), p-mTOR (cat #2976S, 1:1000), mTOR (cat #2983S, 1:1000), BiP (cat #3177, 1:1000), PKR (cat #30725, 1:1000), p-eIF2α Ser51  (cat #9721, 1:1000), eIF2α (cat #9722, 1: 1000), p-ERK (cat #91015, 1:1000), ERK (cat #91025, 1:1000), p-AKT (cat #2965S, 1:1000), AKT (cat #46915, 1:1000), p-RS6 (cat #2317, 1:1000), RS6 (cat #2317, 1:1000), eIF4E (cat #9742S, 1:1000), β-actin (cat #4967S; 1:10,000), and GAPDH (cat #2118, 1:10,000) were obtained from Cell Signaling Technology. Alexa Fluor- and HRP-conjugated secondary antibodies were obtained from Life Technologies. The integrated stress response inhibitor, ISRIB (cat #SML0843), was purchased from Sigma. Recombinant mouse IFN-α protein (cat #12100-1, lot #6454) was procured from R&amp;D Systems. Recombinant mouse IFN-β protein (cat #IF011, lot #SLBX5164) and poly (I:C) (cat #P1530) were purchased from Millipore-Sigma. 
     Primary cell culture of mouse DRG neurons and Western blot. Cultured primary DRG neurons were used to test the effects of IFN-α [(300 units (U)/mL] and IFN-β [(300 units (U)/mL] application. For these experiments, mice were anesthetized with isoflurane and killed by decapitation. Then DRGs, from all spinal levels, were dissected and placed in chilled Hanks balanced-salt solution (HBSS, Invitrogen) until processed. Dorsal root ganglia were digested in 1 mg/mL collagenase A (Roche, Mannheim, Germany) for 25 minutes at 37° C. then subsequently digested in a 1:1 mixture of 1 mg/mL collagenase D and papain (Roche) for 20 minutes at 37° C. After this step, dorsal root ganglia were then triturated in a 1:1 mixture of 1 mg/mL trypsin inhibitor (Roche) and bovine serum albumin (BioPharm Laboratories, Bluffdale, Utah), then filtered through a 70 μm cell strainer (Corning, N.Y.). Cells were pelleted then resuspended in DMEM/F12 with GlutaMAX (Thermo Fisher Scientific, MA) containing 10% fetal bovine serum (FBS; Thermo Fisher Scientific), 5 ng/mL NGF, 1% penicillin and streptomycin, and 3 mg/mL 5-fluorouridine with 7 mg/mL uridine to inhibit mitosis of non-neuronal cells and were distributed evenly in a 6-well plate coated with poly-D-lysine (Becton Dickinson, NJ). DRG neurons were maintained in a 37° C. incubator containing 5% CO 2  with a media change every other day. On day 6, DRG neurons were treated with either vehicle, IFN-α or IFN-β for 1, 3, 6 and 24 h. Following treatments, cells were rinsed with chilled 1×PBS buffer, harvested in 200 μL of RIPA lysis buffer (50 mM Tris, pH 7.4, 150 mM NaCl, 1 mM EDTA, pH 8.0, and 1% Triton X-100) containing protease and phosphatase inhibitors (Sigma-Aldrich), and then sonicated for 5 seconds. To clear debris, samples were centrifuged at 14,000 rpm for 15 min at 4° C. Ten to 15 μg of protein was loaded into each well and separated by a 10% SDS-PAGE gel. Proteins were transferred to a 0.45 PVDF membrane (Millipore, MA) at 30 V overnight at 4° C. Subsequently, membranes were blocked with 5% non-fat dry milk in 1× Tris buffer solution containing Tween 20 (TTBS) for at least 2 h. Membranes were washed 3 times for 10 minutes each (3×10) in 1×TTBS, then incubated with primary antibodies overnight at 4° C. The following day, membranes were washed 3×10 each then incubated with the corresponding secondary antibodies at room temperature for 1 h. After incubation, membranes were washed with 1×TTBS 3×10 each. Signals were detected using Immobilon Western Chemiluminescent HRP Substrate (Millipore) and then visualized with Bio-Rad ChemiDoc Touch. Membranes were stripped using Restore Western Blot Stripping buffer (Thermo Fisher Scientific) and reprobed with another antibody. Analysis was performed using Image lab 6.0.1 software for Mac (Bio-Rad, Hercules, Calif.). 
     To perform western blot analysis (WB) from tissues, animals were anesthetized with isoflurane and killed by decapitation. Lumbar spinal dorsal horn, L4-L5 DRGs and sciatic nerve were immediately frozen on dry ice and then sonicated for at least 10 seconds in 300 μL of RIPA lysis buffer containing protease and phosphatase inhibitors. To clear debris, samples were centrifuged at 14,000 rpm for 15 min at 4° C. Samples were processed for WB using the experimental protocol and analysis described above. 
     Immunofluorescence. For primary neuronal cultures, DRG neurons were harvested and cultured for 6 days according to the protocol described above with the exception that cells were distributed evenly on poly-D-lysine-coated 8-well chamber slide with removable wells (cat #12-565-8, Fisher Scientific). After treatments, cells were fixed in ice-cold 10% formalin in 1×PBS for 1 h and processed for immunocytochemistry (ICC). Cells were washed with 1×PBS and permeabilized in 1×PBS containing 10% heat-inactivated normal goat serum (NGS; Atlanta Biologicals, Atlanta, Ga.) and 0.02% Triton X-100 (Sigma) in 1×PBS for 30 min and then blocked in 10% NGS in 1×PBS for 2 h. Primary antibodies were applied overnight at 4° C. and the next day appropriate secondary antibodies (Alexa Fluor; Invitrogen) were applied for 1 h. After additional 1×PBS washes, coverslips were mounted on Superfrost plus slides with ProLong Gold antifade (Invitrogen). Images were taken using an Olympus FluoView 1200 confocal microscope and analyzed with FIJI for Mac OS X. Images shown are representative of samples taken from 3 separate wells and presented as projections of Z stacks. Using ImageJ, the corrected total cell fluorescence (CTCF) was calculated to determine the intensity of the signal between experimental groups. To do so, the integrated density and the area, as well as the background noise was measured and the CTCF calculated as equal to: the integrated density −(area of selected cell×mean fluorescence of background readings). CTCF values from all experimental treatment groups were normalized to vehicle groups and expressed as normalized CTCF. 
     For tissues, animals were anesthetized with isoflurane and killed by decapitation, and tissues were frozen in O.C.T. on dry ice. Spinal cords were pressure ejected using chilled 1×PBS. Sections of L4-L5 DRGs (20 m) were mounted onto SuperFrost Plus slides (Thermo Fisher Scientific) and fixed in ice-cold 10% formalin in 1×PBS for 1 h then subsequently washed 3×10 each in 1×PBS and processed for immunohistochemistry (IHC). Slides were permeabilized in 50% ethanol for 30 min. After 30 min, slides were washed 3×10 each in 1×PBS. Tissues were blocked for at least 2 h in 1×PBS and 10% NGS. Primary antibodies against NeuN, peripherin, p-eIF4E S209  and eIF4E were applied and incubated with DRG sections on slides at 4° C. overnight. Immunoreactivity was visualized after 1 h incubation with Alexa Fluor secondary antibodies at room temperature. Images were taken using an Olympus FluoView 1200 confocal microscope. Images are presented as projections of Z stacks, and they are representative of samples taken from 3 animals. 
     Single cell data. Single cell mouse DRG sequencing data from previously published work (Li et al., 2016) was used to generate  FIGS. 2A-2D . Seurat package 2.2.1 (Butler et al., 2018) was used to cluster the single-cell data and visualization (van der Maaten and Hinton, 2008). 
     RNAscope in situ hybridization. RNAscope in situ hybridization multiplex version 1 was performed as instructed by Advanced Cell Diagnostics (ACD). Fresh frozen lumbar DRGs from male C57BL/6J mice were rapidly dissected, frozen in cryomolds with O.C.T (Fisher Scientific; Cat #23-730-571) over dry ice and sectioned at 20 μm onto charged slides. The sections were fixed in cold (4° C.) 10% formalin for 15 minutes and then dehydrated in 50% ethanol (5 min), 70% ethanol (5 min) and 100% ethanol (10 min) at room temperature. The slides were air dried briefly and then boundaries were drawn around each section using a hydrophobic pen (ImmEdge PAP pen; Vector Labs). When hydrophobic boundaries had dried, the sections were incubated in protease IV reagent for 2 minutes and then washed in 1× phosphate buffered saline (PBS). Each slide was then placed in a prewarmed humidity control tray (ACD) containing dampened filter paper and incubated in a mixture of Channel 1 (Ifnar1 ACD Cat #512971 or Ifnar2 ACD Cat #846831), Channel 2 (Calca; ACD Cat #417961), and Channel 3 (P2rx3; ACD Cat #521611) probes for 2 hours at 40° C. This was performed one slide at a time to avoid liquid evaporation and section drying. Following probe incubation, the slides were washed two times in 1× RNAscope wash buffer and returned to the oven for 30 minutes after submersion in AMP-1 reagent. Washes and amplification were repeated using AMP-2, AMP-3 and AMP-4B reagents with a 15-min, 30-min, and 15-min incubation period, respectively. Slides were then washed two times in 0.1M phosphate buffer (PB, pH7.4) and then submerged in blocking reagent (10% Normal Goat serum and 0.3% Triton-X 100 in 0.1M PB) for 1 hour at room temperature. Slides were incubated in primary antibody (mouse-anti-Neurofilament 200; clone N52; Sigma) at 1:500 in blocking buffer overnight at 4° C. The next day, slides were washed two times in 0.1M PB, and then incubated in secondary antibody (goat-anti-mouse H&amp;L 405; 1:2000) for 1 hour at room temperature. Sections were washed two times in 0.1M PB, air dried, and cover-slipped with Prolong Gold Antifade (Fisher Scientific; Cat #P36930) mounting medium. 
     DRG sections were imaged on an Olympus FV3000 confocal microscope at 20× magnification. One image was acquired of each mouse DRG section, and 3 sections were imaged per mouse (total: 9 images/experiment for an n=3). The raw image files were brightened and contrasted equally in Olympus CellSens software (v1.18), and then analyzed manually one neuron at a time for expression of Ifnar1 or Ifnar2 with the neuronal markers Calca (peptidergic neurons), P2rx3 (non-peptidergic neurons) and/or NF200 (AD neurons). Soma diameter was measured using the polyline tool. 
     Patch-clamp electrophysiology. Cell cultures for patch clamp electrophysiology were prepared as previously described (Moy et al., 2017). Male C57BL/6J mice (average age of 43 days) were anesthetized with 5% isoflurane and sacrificed by decapitation. DRGs were dissected and placed in ice-cold HBSS (divalent free) and incubated at 37° C. for 15 min in 20 U/mL Papain (Worthington, Lakewood, N.J.) followed by 15 min in 3 mg/ml Collagenase Type II (Worthington). After trituration through a fire-polished Pasteur pipette of progressively smaller opening sizes, cells were plated on poly-D-lysine and laminin (Sigma, St. Louis, Mo.)—coated plates. Cells were allowed to adhere for several hours at room temperature in a humidified chamber and then nourished with Liebovitz L-15 medium (Life Technologies, Grand Island, N.Y.) supplemented with 10% fetal bovine serum (FBS), 10 mM glucose, 10 mM HEPES and 50 U/ml penicillin/streptomycin. The following day (within 24 h of dissociation), changes in neuronal excitability were tested after incubating the neurons with IFN-α (300 U/mL) for 1 h. To do so, whole-cell patch-clamp experiments were performed using a MultiClamp 700B (Molecular Devices) patch-clamp amplifier and PClamp 9 acquisition software (Molecular Devices) at room temperature. Recordings were sampled at 20 kHz and filtered at 3 kHz (Digidata 1550B, Molecular Devices). Pipettes (outer diameter, 1.5 mm; inner diameter, 1.1 mm, BF150-110-10, Sutter Instruments) were pulled using a PC-100 puller (Narishige) and heat polished to 3-5 MΩ resistance using a microforge (MF-83, Narishige). Series resistance was typically 7 MΩ and was compensated up to 60%. Data were analyzed using Clampfit 10 (Molecular Devices). Data are from 3 independent mice cultured on separate days. The purpose of this experimental protocol was to consider both biological and experimental variability, potentially coming from the culturing process. All neurons included in the analysis had a resting membrane potential more negative than −40 mV. The RMP was recorded 1-3 min after achieving whole-cell configuration. In current-clamp mode, cells were held at −60 mV and action potentials were elicited by injecting slow ramp currents from 100 to 700 pA with Δ 200 pA over 1 s to mimic slow depolarization. Only cells that responded to the ramp depolarization—at least one spike at the maximum 700 pA, were considered for further analysis. The pipette solution contained the following (in mM): 120 K-gluconate, 6 KCl, 4 ATP-Mg, 0.3 GTP-Na, 0.1 EGTA, 10 HEPES and 10 phosphocreatine, pH 7.4 (adjusted with N-methyl glucamine), and osmolarity was ˜285 mOsm. The external solution contained the following (in mM): 135 NaCl, 2 CaCl 2 , 1 MgCl 2 , 5 KCl, 10 glucose, and 10 HEPES, pH 7.4 (adjusted with N-methyl glucamine), and osmolarity was adjusted to ˜315 mOsm with sucrose. 
     Behavior. Mice were housed on 12-hour light/dark cycles with food and water available ad libitum. Mice were randomized to groups from multiple cages to avoid using mice from experimental groups that were cohabitating. Sample size was estimated by performing a power calculation using G*Power (version 3.1.9.2). With 80% power and an expectation of d=2.2 effect size in behavioral experiments, and a set to 0.05, the sample size required was calculated as n=6 per group. The inventors therefore sought to have at least n=6 sample in all behavioral experiments. SD (set at 0.3) for the power calculation was based on previously published mechanical threshold data from the inventors&#39; lab (Moy et al., 2017). Animals were habituated for 1 hour to clear acrylic behavioral chambers before beginning the experiment. For intraplantar injections, drugs were injected in a total volume of 25 μL through a 30-gauge needle. For intraperitoneal injections, drugs were administered in a volume of 100 μL Mechanical paw withdrawal thresholds in mice were measured using the up-down method (Chaplan et al., 1994) with calibrated von Frey filaments (Stoelting Company, WoodDale, Ill.). Thermal latency was measured using a Hargreaves device (IITC Life Science) (Hargreaves et al., 1988) with heated glass settings of 29° C., 40% active laser power, and 20 sec cutoff were used. The experimenter was blinded to the genotype of the mice and the drug condition in all experiments. 
     Quantification and statistical analysis. All results are presented as the mean±SEM. Statistical differences between 2 groups were determined by the Student t test. One- or 2-way analysis of variance, followed by Dunnett or Bonferroni test, was used to compare differences between more than 2 groups. Post-hoc testing for electrophysiology data used Fisher&#39;s LSD test. Differences were considered to reach statistical significance when P&lt;0.05. Complete statistical analysis is detailed on Table 6D. The N for each individual experiment is described in the figure legends. Data analysis was performed using GraphPad Prism 8.0 (GraphPad Software). 
     Data and code availability. The data that support the findings of this study, including specific details of how tSNE plots were generated, are available from the corresponding author upon reasonable request. 
     Results 
     Characterizing pain behavior responses induced by peripheral administration of type I IFNs. The inventors first sought to investigate the nociceptive responses produced by type I interferons (α and β) in vivo in both sexes. The dose (300 units (U)—approximately 5 ng) of IFNs was chosen based on previous studies showing concentration-dependent effects on cellular signaling pathways (Lamer et al., 1986; Hilkens et al., 2003) and studies showing plasma levels of type I IFNs in mice in response to viral infection (˜1-2 ng/ml) (Gerlach et al., 2006; Shibamiya et al., 2009; Murray et al., 2015; Cheng et al., 2017). In male mice, intraplantar (i.pl.) administration of either IFN-α (300 U/25 μL) or IFN-β (300 U/25 μL), but not vehicle (saline), produced a rapid mechanical hypersensitivity, lasting for at least 3 days, to von Frey filament stimulation ( FIGS. 18A-B ) with no significant changes in paw withdrawal latency to thermal stimulation ( FIGS. 18C-D ). Likewise, in female mice, i.pl. administration of either IFN-α (300 U/25 μL) or IFN-β (300 U/25 μL) also increased hind paw mechanical hypersensitivity with no significant changes in thermal hypersensitivity ( FIGS. 18G-H ). No sex differences in the development of mechanical hypersensitivity ( FIGS. 18I-J ) or the presence of thermal hypersensitivity ( FIGS. 18K-L ) were observed between male versus female mice following either IFN-α (300 U/25 μL) or IFN-β (300 U/25 μL) i.pl. administration. Since the inventors did not find any differences in pain responses between males and females, they decided to use only males for all the subsequent experiments. These results show that activation of IFNRs by IFN-α or IFN-β creates a pronociceptive state that is likely produced via a peripheral site of action. 
     Identifying IFNRs expression in sensory neurons and their downstream signaling pathways. Because the inventors observed a pronociceptive effect of IFN-α and IFN-β, they investigated the expression of IFNRs in DRG neurons. The inventors used mouse DRG deeply RNA sequenced single cell data generated by (Li et al., 2016). They generated tSNE plots to show genes expression in specific clusters of cells (van der Maaten and Hinton, 2008). IFN-α and IFN-β bind a heterodimeric transmembrane receptor termed the IFN-α receptor (IFNAR), which is composed of IFNAR1 and IFNAR2 subunits (Schreiber, 2017). The inventors observed expression of both Ifnar1 (Interferon receptor 1, IFNR1) and Ifnar2 (Interferon receptor 2, IFNR2) mRNAs with the neuronal marker rbfox3 (NeuN), indicating their presence in neuronal populations in the mouse DRG ( FIG. 19A ). Ifnar1 and Ifnar2 mRNAs were co-expressed among neurons that are likely to be nociceptors because they also express Prph (peripherin) and Scn10a (Nav1.8) ( FIG. 19B ). Additionally, the inventors detected that Ifnar1 and Ifnar2 mRNAs are widely distributed across nociceptors of peptidergic [Trpv1 (TRPV1), Calca (CGRP)] and non-peptidergic [P2rx3 (P2X3)] nature ( FIG. 19C ). Ifnar2 mRNA shows higher expression levels than Ifnar1 in neurons containing F2rl1 (PAR2) and Nppb (NPPB) mRNAs ( FIG. 19D ). 
     In order to confirm the presence of IFNR1 and IFNAR2 subunits in the DRG, the inventors performed RNAscope in situ hybridization. They found that both Ifnr1 and Ifnr2 mRNAs were widely expressed in neurons expressing Calca (CGRP) mRNA, P2rx3 (P2X3) mRNA and NF200 protein ( FIG. 19E ). Co-expression analysis demonstrated that Ifnar1 and Ifnar2 show a similar pattern of expression across peptidergic nociceptors (Calca+) and large diameter neurons (NF200+). However, Ifnar1 is more expressed than Ifnar2 in non-peptidergic (P2rx3+) nociceptors (35.8% vs 26.5%;  FIGS. 19F-G ). Additionally, approximately 80-90% of total neurons in the DRG express Ifnar1 and Ifnar2 ( FIG. 19H ; see also  FIGS. 19E-G ). Co-expression analysis based on neuronal size confirmed that both Ifnar1 and Ifnar2 are present across the entire neuronal population in the DRG ( FIGS. 19I-J ). Therefore, these results confirm that IFNRs are present in mouse DRG neurons supporting the idea that their activation could modulate nociceptive signaling events. 
     The inventors then sought to investigate the downstream signaling events evoked by type I IFN application to cultured DRG neurons. They focused on two major pathways involved in type I IFN signaling in different cell types: transcriptional control via JAK/STAT (Levy and Darnell, 2002; de Weerd and Nguyen, 2012; Stark and Darnell, 2012) and translational control via two distinct pathways. Translation regulation by type I IFNs can occur through stimulation of cap-dependent translation via ERK/MAP kinase-MNK-eIF4E signaling (Walsh et al., 2013; Ivashkiv and Donlin, 2014) or inhibition of cap-dependent translation through induction of PKR-eIF2α signaling (Pindel and Sadler, 2011; Walsh et al., 2013) resulting in activation of the integrated stress response (ISR). Direct application of either IFN-α (300 U/mL) or IFN-β (300 U/mL) rapidly activated downstream JAK/STAT signaling pathways in cultured DRG neurons ( FIG. 20A ). This signaling cascade involved the phosphorylation of JAK1, STAT1 and STAT3 together with a delayed increase in STAT1 total protein, likely representing a transcriptional change. In addition to STATs, other signaling factors have a role in IFN-mediated activities. These include activation of the AKT/mTOR/ULK1 pathway via PI3K and the ERK/MAP kinase pathway (Thyrell et al., 2004; Platanias, 2005; Hjortsberg et al., 2007; Saleiro et al., 2015). The inventors did not observe any changes in mTOR or ribosomal protein S6 phosphorylation ( FIG. 20B ) but they did observe an increase in ERK and eIF4E phosphorylation that occurred rapidly after type 1 IFN exposure ( FIG. 20C ). Both IFN-α and IFN-β also stimulated AKT phosphorylation ( FIG. 20C ). These findings demonstrate that type I IFNs engage cap-dependent translation regulation signaling via eIF4E phosphorylation. 
     Type 1 IFNs are also known to regulate translation via induction of PKR and activation of the integrated stress response (ISR). The inventors did not observe changes in p-PKR or p-eIF2α levels and no changes were observed in BiP expression (ER chaperone protein) in response to type I IFN exposure ( FIGS. 21A-B ). The inventors noticed a non statistically-significant downregulation of p-eIF2α within the same time course of p-ERK/p-eIF4E activation ( FIGS. 21A-B ). A possible explanation is that, as type I interferons are enhancing features of cap-dependent translation machinery, a slight down-regulation in the pathway that suppresses cap-dependent translation, p-eIF2α, may also be occurring. Moreover, 24 hr exposure to either IFN-α or IFN-β did not modify PKR phosphorylation or expression suggesting that type 1 IFNs do not induce PKR expression in DRG neurons ( FIG. 21C ). In further support of these observations, no changes on p-PKR/PKR after a long IFN-α exposure were observed in the presence of the integrated stress response inhibitor ISRIB ( FIG. 21C ), and ISRIB does not suppress signaling pathways shown to be modulated by IFN-α or IFN-β in the inventors&#39; previous experiments ( FIGS. 21D-E ). Taken together, these experiments demonstrate that type I IFNs engage MNK-eIF4E signaling in DRG cultures and do not induce PKR activation to suppress cap-dependent translation via eIF2α phosphorylation. 
     Patch-clamp electrophysiology on DRG neurons links Type I IFNs activity to neuron hyperexcitability. To assess whether the effects of type I interferons contribute to nociceptor excitability, the inventors exposed DRG neurons to IFN-α (300 U/mL) for ˜1 h (average exposure time: 86.6±7 min) and measured neuronal excitability using patch-clamp electrophysiology. The treatment was present in both the L-15 culture medium and later in the external bath solution until completion of the electrophysiology experiments. Patch clamp electrophysiology was performed from small- and medium-sized populations of neurons in the cultured DRGs in both groups (capacitance: control 23.8±2.9 pF vs IFN-α 24.3±1.5 pF, P=0.89; diameter: control 26.5±0.56 pF vs IFN-α 26.8±0.53 pF, P=0.7;  FIG. 21A ). Resting membrane potential (RMP) was more hyperpolarized than −40 mV in all cells sampled and IFN-α treatment did not alter the RMP compared to the control group (control −51.2±3 mV vs IFN-α-47.5±2.5 mV, P=0.38;  FIG. 22A ). In response to ramp current injections mimicking slow depolarizations, DRG neurons exposed to IFN-α showed elevated excitability, measured as the number of action potentials elicited, compared to the control group with a significant main effect of treatment (F (1,48) =22.9, P&lt;0.001). Significant differences were observed at each time point of ramp injection tested ( FIGS. 22B-C ). The inventors further measured the latency to the first spike following ramp current injection and determined that exposure to IFN-α shortened the latency of initiation of the action potential (F (1,48) =21.02, P&lt;0.001;  FIG. 22D ). Therefore, type I IFN exposure rapidly promotes hyperexcitability in small diameter DRG neurons over a time course coinciding with MNK-eIF4E activation. 
     MNK-eIF4E signaling links type I IFN actions on sensory neurons to mechanical hypersensitivity. Since the inventors previously observed that ERK/MNK-eIF4E signaling axis was the primary component contributing to IFN-α and IFN-β effects in DRG neurons, they targeted this pathway using genetic tools to investigate its contribution to type 1 IFN-induced pain hypersensitivity. When ERK is activated, it subsequently phosphorylates MNK1/2 (Waskiewicz et al., 1997) leading to phosphorylation of eIF4E at serine 209 (Waskiewicz et al., 1999). The inventors used immunocytochemistry (ICC) on cultured DRG neurons to assess whether type 1 IFNs impacts eIF4E phosphorylation at single cell resolution. They found that one-hour stimulation with either IFN-α (300 U/mL) or IFN-β (300 U/mL) stimulated phosphorylation of eIF4E mostly in neurons expressing peripherin ( FIGS. 23A-B ). Almost all neurons in the cultures were peripherin-positive making it difficult to ascertain whether this effect occurs exclusively in putative nociceptors or also in large diameter low-threshold mechanoreceptive cells. The expression data suggests that both classes of neurons likely express type I IFN receptors ( FIGS. 19A-J ). To assess the behavioral impact of this signaling, the inventors used MNK1 −/−  mice ( FIG. 23C ) and tested mechanical hypersensitivity after i.pl. IFN-α (300 U/25 μL) or IFN-β (300 U/25 μL) administration. Mechanical hypersensitivity was attenuated in MNK1 −/−  mice compared to WT mice following IFN application ( FIGS. 23D-E ). Furthermore, mice lacking eIF4E phosphorylation at serine 209 (eIF4E S209A ,  FIG. 23F ) showed a complete absence of eIF4E phosphorylation in lumbar (L5) DRGs ( FIG. 23G ) and a significant reduction in mechanical hypersensitivity following i.pl. IFN injection ( FIGS. 23H-I ). The inventors conclude that a MNK-eIF4E signaling mechanism strongly contributes to type I IFN-induced pain hypersensitivity. 
     Induction of endogenous type I interferon response with poly (I:C) causes MNK-eIF4E-dependent pain hypersensitivity. Type I IFN responses are caused by viral infections and sustained elevations in type I IFNs have been associated with multiple autoimmune diseases including systemic lupus erythematosus (SLE) and rheumatoid arthritis (Forster, 2012). Moreover, therapeutic IFN-α administration has also been reported as associated with the emergence of somatic symptomatology such as body pain, myalgias, headache, joint pain, abdominal pain (Capuron et al., 2002; Shakoor et al., 2010; Nogueira et al., 2012), and inflammatory hyperalgesia (Fitzgibbon et al., 2019). To investigate how endogenous type I IFN production causes pain sensitization, the inventors intraperitoneally (i.p.) injected mice, for 2 consecutive days, with a synthetic analog of a double-stranded RNA (dsRNA), poly (I:C) (1 mg/kg). Poly (I:C) is well-known to activate a number of transcription factors, including IFN regulatory factor 3 (IRF3) resulting in the production of IFN-α and IFN-β (Kawai and Akira, 2008). The inventors found that mice injected with poly (I:C) developed mechanical hypersensitivity ( FIG. 24A ) as well as thermal hypersensitivity ( FIG. 24B ) over a time-course of 3-24 h after the second poly (I:C) administration. Changes in mechanical and thermal hypersensitivity were preceded by an increase in core body temperature, consistent with known physiological effects of poly (I:C) ( FIG. 24C ). Based on the inventors&#39; previous observations, they hypothesized that the effects seen on thermal and mechanical hypersensitivity would be mechanistically linked to MNK-eIF4E signaling. As predicted, poly (I:C) administration increased phosphorylated eIF4E immunoreactivity in L5 DRGs of WT mice without affecting total eIF4E protein ( FIG. 247D ). Mechanical ( FIG. 24E ) and thermal ( FIG. 24F ) hypersensitivity produced by poly (I:C) was attenuated in MNK1 −/−  compared to WT mice. Similarly, mechanical ( FIG. 24G ) and thermal ( FIG. 7H ) hypersensitivity was decreased in eIF4E S209A  mice compared to WTs. Moreover, L4-L5 DRGs, lumbar spinal dorsal horn (SDH) and sciatic nerve from MNK1 −/−  and eIF4E S209A  mice showed a decrease and absence, respectively, of eIF4E phosphorylation compared to WT mice following poly (I:C) administration ( FIG. 24I ). Finally, the inventors tested whether poly (I:C) had a direct effect on DRG neurons. Direct application of poly (I:C) did not increase p-ERK, p-eIF4E, p-PKR or p-eIF2α in cultured DRG neurons ( FIG. 24J ), suggesting that effects observed with poly (I:C) in vivo are unlikely explained by a direct action of the compound on DRG neurons. Instead, poly (I:C) likely acts via endogenous production of type I IFNs that then act on DRG neurons. These experiments demonstrate that endogenous type I IFN production acts via MNK-eIF4E signaling to induce pain hypersensitivity. 
     Phosphorylation of the 5′ cap-binding protein eIF4E by MAPK interacting kinases MNK1/2 is important for nociceptor sensitization and the development of chronic pain. IL-6 induced DRG nociceptor excitability is attenuated in mice lacking eIF4E phosphorylation, in MNK1/2 −/−  mice and by the nonselective MNK1/2 inhibitor cercosporamide. The inventors sought to better understand the neurophysiological mechanisms underlying how IL-6 causes nociceptor excitability via MNK-eIF4E signaling using eFT508. Dorsal root ganglion (DRG) neurons were cultured from male and female ICR mice, 4-7 weeks old. DRG cultures were treated with vehicle, IL-6, eFT508 (pretreat) followed by IL-6 or eFT508 alone. Whole-cell patch clamp recordings were done on small diameter neurons (20-30 pF) to measure membrane excitability in response to ramp depolarization. One hr IL-6 treatment resulted in increased action potential firing compared to vehicle at all ramp intensities, an effect that was blocked by pretreatment with eFT508. Basic membrane properties, including resting membrane potential, input resistance and rheobase, were similar across groups. Latency to the first action potential in the ramp protocol was lower in the IL-6 group and rescued by eFT508 pretreatment. They also found that the amplitudes of T-type voltage-gated calcium channels (VGCCs) were increased in the DRG following IL-6 treatment, but not in the eFT508 co-treatment group. These findings are consistent with a model wherein MNK-eIF4E signaling controls the translation of signaling factors that regulate T-type VGCCs in response to IL-6 treatment. Inhibition of MNK with eFT508 disrupts these events, thereby preventing nociceptor hyperexcitability. 
     Discussion 
     The findings reported here provide evidence for a mechanistic link between viral infection, type 1 IFN production and rapid induction of nociceptor hyperexcitability and mechanical pain sensitization. This occurs via a direct action of type I IFN receptors on sensory neurons and is dependent on downstream signaling via MNK-eIF4E. The inventors find no evidence for mTORC1 activation or induction of eIF2α phosphorylation in DRG neurons by type I IFNs, demonstrating that the key translation regulation pathway engaged is eIF4E phosphorylation. A summary of the main findings from this study are highlighted in a schematic diagram in  FIG. 25 . Collectively, these results provide molecular insight into why one of the first signs of viral infection is body-wide aches and pain. 
     While it is well known that viral infection can cause pain, very little work has been done to understand the underlying mechanisms driving this effect (Chiu et al., 2016). Aches and pain caused by viral infection have classically been attributed to fever but these aches and pain often begin before the onset of fever. The findings with poly (I:C) treatment in mice show that fever and pain effects are disassociated, but in this case the fever clearly preceded hyperalgesia caused by poly (I:C) treatment. An alternative mechanism for viral infection-induced pain is upregulation of IDO1 enzyme and consequent increased production of kynurenine. In support of this idea, mice lacking IDO1 show decreased pain sensitization in response to viral infection (Huang et al., 2016). However, subsequent work demonstrates that this IDO1 upregulation occurs via virally-mediated upregulation of IFN-β and that IDO1 expression can be driven by type I IFNs (Gaelings et al., 2017). This work demonstrates that this initial type 1 IFN induction by viral infection can drive a direct sensitization of nociceptors through type 1 IFN receptors expressed by these sensory neurons. This suggests that early pain sensitization caused by viral infection may proceed independently of IDO1 upregulation. A direct effect of type I IFNs on nociceptors and type 1 IFN-mediated upregulation of IDO1 and subsequent kynurenine signaling may act in concert to cause prolonged pain responses that can occur with viral infections. 
     This work adds to a growing understanding of how pathogens and host-defense responses interact with nociceptors (Chiu et al., 2016). Bacteria can act directly on nociceptors via N-formylated peptides that are agonists of G protein-coupled formyl peptide receptors (Chiu et al., 2013; Pinho-Ribeiro et al., 2017) that are expressed in mouse and human DRG neurons (Ray et al., 2018). Bacteria also release α-hemolysin which directly excites nociceptors to cause pain (Chiu et al., 2013; Blake et al., 2018). While nociceptors can detect bacterial invasion, rapidly sending an alert signal to the brain, they can also play more nuanced roles in bacterial host defense. For instance, gut-innervating nociceptors have very recently been shown to play an active role in defending against  Salmonella  infection. This happens via an effect of calcitonin gene-related peptide (CGRP) signaling on intestinal microvilli cells and resident microbiome to protect against  Salmonella  invasiveness (Lai et al., 2019). In the case of viruses, the inventors find that a dsRNA mimetic, poly (I:C) does not seem to have a direct effect on nociceptors, suggesting that immune and other somatic cells are likely the first detectors of viral infection. These findings clearly demonstrate, however, that one of the earliest responses to viral infection, production of type 1 IFN, causes robust and rapid sensitization of nociceptors via a specific translation regulation signaling cascade. These findings regarding the action of type I IFNs on nociceptors are opposed to the recent work of Liu et al., (Liu et al., 2016) who found that IFNα causes inhibition of pain signaling at the level of the dorsal horn. These inventors proposed that type I IFNs from astrocytes cause presynaptic inhibition of neurotransmitter release from nociceptors therefore reducing pain signaling. It is possible that CNS-released type I IFNs have a different action on nociceptor central terminals than type 1 IFNs released in the periphery have on nociceptor peripheral ending and cell bodies. Another possibility is that very high doses of type I IFNs (5,000-10,000 units) produce an inhibition of MAPK signaling, as recently shown in the dorsal horn in the context of neuropathic pain (Liu et al., 2019). The inventors show that lower doses of type I IFNs (300 units) produce clear MAPK signaling activation in DRG neurons in vitro and in vivo. The dose used in the experiments is consistent with earlier studies examining dose-dependent effects of type I IFN signaling on what are now known as canonical signaling pathways (Lamer et al., 1986; Hilkens et al., 2003) and with plasma levels induced by virus (Gerlach et al., 2006; Murray et al., 2015; Cheng et al., 2017) or poly (I:C) (Shibamiya et al., 2009). 
     Translation regulation is a central mechanism driving nociceptor hyperexcitability and mechanical pain (Khoutorsky and Price, 2018). A key antiviral response is activation of PKR and downstream phosphorylation of eIF2α (Balachandran and Barber, 2007). This results in decreased cap-dependent translation and suppression of viral replication capability in host cells. Another upstream eIF2α kinase, PERK, is activated in DRG neurons in diabetic neuropathy (Inceoglu et al., 2015), an effect that is likely mediated by the toxic end glycation byproduct methylglyoxal (Barragan-Iglesias et al., 2019). The inventors initially hypothesized that type I IFNs might induce eIF2α phosphorylation in DRG neurons via PKR activation given the well-established induction of this pathway in other cell types (Pindel and Sadler, 2011). The inventors did not find evidence for type I IFN-induced PKR-eIF2α signaling in DRG neurons, even over long time courses. Instead, the inventors observed clear evidence for rapid activation of MNK1-eIF4E signaling in DRG neurons in vitro and in vivo. Signaling via eIF4E was also critical for the production of mechanical pain responses by type I IFNs and poly (I:C), which produces endogenous type I IFN production (Yamamoto et al., 2003; Kawai and Akira, 2008). Activation of MNK-eIF4E signaling by type I IFNs has been observed in other cell types where it has been linked to increased immune surveillance (Joshi et al., 2009). Multiple previous studies have demonstrated that activation of MNK-eIF4E-mediated translation events are causative in the production of chronic pain states, including neuropathic pain (Moy et al., 2017; Megat et al., 2019; Shiers et al., 2019). Since both viral infections and prolonged production of type I IFNs can cause neuropathic pain, it is possible that type I IFN receptor signaling to MNK-eIF4E may be a key pathway for production of these types of neuropathies. 
     
       
         
           
               
             
               
                 TABLE 6A 
               
             
            
               
                   
               
               
                 Two-way ANOVA 
               
            
           
           
               
               
               
               
               
            
               
                   
                   
                 Source of Variation 
                 Time/Day. Location or 
                   
               
               
                   
                   
                 Surgery/Treatment/Genotype 
                 Error type 
                 Interaction 
               
            
           
           
               
               
               
               
               
               
               
               
               
               
               
            
               
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                 dfn.dfd 
                 F 
                 p 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
               
               
               
            
               
                 1 
                 B 
                 3.78 
                 16.68 
                 &lt;0.0001 
                 2.78 
                 63.98 
                 &lt;0.000 
                 6.78 
                 7.211 
                 &lt;0.000 
               
               
                   
                 C 
                 3.78 
                 18.06 
                 &lt;0.0001 
                 2.78 
                 11.23 
                 &lt;0.000 
                 6.78 
                 2.642 
                 0.0219 
               
               
                 1 
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                   
                 D 
                 3.96 
                 0.3953 
                 0.7567 
                 2.96 
                 52.52 
                 &lt;0.000 
                 6.96 
                 1.217 
                 0.3045 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                 2 
                 B 
                 3.155 
                 5.38 
                 0.0015 
                 4.155 
                 13.19 
                 &lt;0.000 
                 12.15 
                 2.562 
                 0.0040 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                 5 
                   
                   
               
               
                 3 
                 A 
                 3.60 
                 8.841 
                 &lt;0.0001 
                 2.60 
                 59.44 
                 &lt;0.000 
                 6.60 
                 7.07 
                 &lt;0.000 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                 1 
               
               
                   
                 B 
                 3.60 
                 11.81 
                 &lt;0.0001 
                 2.60 
                 14.32 
                 &lt;0.000 
                 6.60 
                 0.979 
                 0.4475 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                   
                 C 
                 1.36 
                 0.205 
                 0.6535 
                 5.36 
                 184.5 
                 &lt;0.000 
                 5.36 
                 0.466 
                 0.7988 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                 2 
                   
               
               
                   
                 D 
                 3.60 
                 5.411 
                 0.0023 
                 2.60 
                 23.72 
                 &lt;0.000 
                 6.60 
                 13.76 
                 &lt;0.000 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                 1 
               
               
                   
                 E 
                 3.60 
                 16.71 
                 &lt;0.0001 
                 2.60 
                 16.69 
                 &lt;0.000 
                 6.60 
                 1.396 
                 0.2311 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                   
                 F 
                 1.72 
                 2.997 
                 0.0877 
                 5.72 
                 272.5 
                 &lt;0.000 
                 5.72 
                 1.552 
                 0.1848 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                 4 
                 D 
                 1.10 
                 0.6314 
                 0.3430 
                 1.10 
                 0.990 
                 0.3430 
                 1.10 
                 0.990 
                 0.3430 
               
               
                   
                   
                   
                   
                   
                   
                 7 
                   
                   
                 7 
                   
               
               
                 S1 
                 A 
                 3.54 
                 27.38 
                 &lt;0.0001 
                 2.54 
                 0.964 
                 0.3877 
                 6.54 
                 1.359 
                 0.2477 
               
               
                   
                   
                   
                   
                   
                   
                 2 
                   
                   
                   
                   
               
               
                   
                 B 
                 3.54 
                 6.283 
                 0.0010 
                 2.54 
                 3.78 
                 0.0291 
                 6.54 
                 0.679 
                 0.6667 
               
               
                   
                   
                   
                   
                   
                   
                   
                   
                   
                 6 
                   
               
               
                 5 
                 B 
                 1.32 
                 23.13 
                 &lt;0.0001 
                 3.32 
                 9.854 
                 &lt;0.000 
                 3.32 
                 6.103 
                 0.0021 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                   
               
               
                   
                 C 
                 1.32 
                 0.3533 
                 0.5565 
                 3.32 
                 2.468 
                 0.0799 
                 3.32 
                 0.680 
                 0.5707 
               
               
                   
                   
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
               
               
                   
                 D 
                 1.28 
                 1.11 
                 0.3010 
                 3.28 
                 0.193 
                 0.8998 
                 3.28 
                 0.378 
                 0.7690 
               
               
                   
                   
                   
                   
                   
                   
                 7 
                   
                   
                 8 
                   
               
               
                   
                 E 
                 1.16 
                 86.16 
                 &lt;0.0001 
                 3.16 
                 33.56 
                 &lt;0.000 
                 3.16 
                 16.75 
                 &lt;0.000 
               
               
                   
                   
                   
                   
                   
                   
                   
                 1 
                   
                   
                 1 
               
               
                 S2 
                 C 
                 2.24 
                 2.188 
                 0.1340 
                 1.24 
                 0.076 
                 0.7849 
                 2.24 
                 0.592 
                 0.5611 
               
               
                   
                   
                   
                   
                   
                   
                 2 
                   
                   
                 0 
                   
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 6B 
               
             
            
               
                   
               
               
                 Two-way ANOVA Bonferroni comparisons 
               
               
                 Bonferroni 
               
            
           
           
               
               
               
               
            
               
                   
                 FIG. 
                 Comparison 
                 p 
               
               
                   
                   
               
            
           
           
               
               
               
               
            
               
                   
                 1B 
                 Response 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 0.1167 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 0.1119 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 Retest 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 Rule shifting 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &lt;0.0001 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 0.2957 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 &lt;0.0001 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 &lt;0.0001 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                 1C 
                 PE 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 0.7264 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 NRE 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 0.0048 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 0.0001 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 0.0028 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 REG 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 0.0176 
               
               
                   
                   
                 WT Sham vs 4EKI Sham 
                 0.4905 
               
               
                   
                   
                 WT Sham vs 4EKI SNI 
                 0.3505 
               
               
                   
                   
                 WT SNI vs 4EKI Sham 
                 &lt;0.0001 
               
               
                   
                   
                 WT SNI vs 4EKI SNI 
                 &lt;0.0001 
               
               
                   
                   
                 4EKI Sham vs 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                 1D 
                 Response 
                   
               
               
                   
                   
                 F 4EKI Sham vs F 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI Sham v M 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI Sham vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 M 4EKI Sham vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 Retest 
                   
               
               
                   
                   
                 F 4EKI Sham vs F 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI Sham v M 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI Sham vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI Sham 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 M 4EKI Sham vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 Rule shifting 
                   
               
               
                   
                   
                 F 4EKI Sham vs F 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI Sham v M 4EKI Sham 
                 0.8804 
               
               
                   
                   
                 F 4EKI Sham vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI Sham 
                 0.0590 
               
               
                   
                   
                 F 4EKI SNI vs M 4EKI SNI 
                 &gt;0.9999 
               
               
                   
                   
                 M 4EKI Sham vs M 4EKI SNI 
                 0.7402 
               
               
                   
                 2B 
                 BL 
                   
               
               
                   
                   
                 Sham WT vs SNI WT  
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                 2B 
                   
                   
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 D14 
                   
               
               
                   
                   
                 Sham WT vs SNI WT 
                 0.0001 
               
               
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs SNI 4EKI 
                 0.0002 
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &lt;0.0001 
               
               
                   
                   
                 SNI WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 &lt;0.0001 
               
               
                   
                   
                 D1 
                   
               
               
                   
                   
                 Sham WT vs SNI WT  
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs SNI 4EKI 
                 0.5044 
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 D2 
                   
               
               
                   
                   
                 Sham WT vs SNI WT  
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 D3 
                   
               
               
                   
                   
                 Sham WT vs SNI WT  
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs Sham 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 SNI WT vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 4EKI vs SNI 4EKI 
                 &gt;0.9999 
               
               
                   
                 3A 
                 Response 
                   
               
               
                   
                   
                 Sham + veh vs SNI + veh 
                 &gt;0.9999 
               
               
                   
                   
                 Sham + veh vs Sham +  
                 0.6088 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 Sham + veh vs SNI + tom 
                 0.6657 
               
               
                   
                   
                 SNI + veh vs Sham + tom  
                 0.0234 
               
               
                   
                   
                 SNI + veh vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + tom  
                 0.0083 
               
               
                   
                   
                 Retest 
                   
               
               
                   
                   
                 Sham + veh vs SNI + veh  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + veh vs Sham +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 Sham + veh vs SNI + tom 
                 &gt;0.9999 
               
               
                   
                   
                 SNI + veh vs Sham + tom 
                 &gt;0.9999 
               
               
                   
                   
                 SNI + veh vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 Rule shifting 
                   
               
               
                   
                   
                 Sham + veh vs SNI + veh  
                 &lt;0.0001 
               
               
                   
                   
                 Sham + veh vs Sham +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 Sham + veh vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 SNI + veh vs Sham + tom 
                 &lt;0.0001 
               
               
                   
                   
                 SNI + veh vs SNI + tom 
                 &lt;0.0001 
               
               
                   
                   
                 Sham + tom vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                 3B 
                 PE 
                   
               
               
                   
                   
                 Sham + veh vs Sham +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 Sham + veh vs SNI + veh  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + veh vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + veh 
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 SNI + veh vs SNI + tom 
                 0.6728 
               
               
                   
                   
                 NRE 
                   
               
               
                   
                   
                 Sham + veh vs Sham +  
                 0.9554 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 Sham + veh vs SNI + veh 
                 0.0096 
               
               
                   
                   
                 Sham + veh vs SNI + tom  
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + veh 
                 0.5380 
               
               
                   
                   
                 Sham + tom vs SNI + tom 
                 0.7022 
               
               
                   
                   
                 SNI + veh vs SNI + tom 
                 0.0038 
               
               
                   
                   
                 REG 
                   
               
               
                   
                 3B 
                 Sham + veh vs Sham + tom 
                 &gt;0.9999 
               
               
                   
                   
                 Sham + veh vs SNI + veh 
                 0.0303 
               
               
                   
                   
                 Sham + veh vs SNI + tom 
                 &gt;0.9999 
               
               
                   
                   
                 Sham + tom vs SNI + veh 
                 0.0247 
               
               
                   
                   
                 Sham + tom vs SNI + tom 
                 &gt;0.9999 
               
               
                   
                   
                 SNI + veh vs SNI + tom 
                 0.0004 
               
               
                   
                 3C 
                 BL: SNI + veh vs SNI + tom 
                 &gt;0.9999 
               
               
                   
                   
                 D14: SNI + veh vs SNI + tom 
                 &gt;0.9999 
               
               
                   
                   
                 D1 1 h: SNI + veh vs SNI +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 D1 3 h: SNI + veh vs SNI +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 D5 1 h: SNI + veh vs SNI +  
                 0.8982 
               
               
                   
                   
                 tom 
                   
               
               
                   
                   
                 D5 3 h: SNI + veh vs SNI +  
                 &gt;0.9999 
               
               
                   
                   
                 tom 
                   
               
               
                   
                 3D 
                 Response 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 &gt;0.9999 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 &gt;0.9999 
               
               
                   
                   
                 Retest 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 0.2535 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 0.0012 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 0.4542 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 0.0014 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 0.4765 
               
               
                   
                   
                 Rule shifting 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &lt;0.0001 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 0.0763 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 &lt;0.0001 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 &lt;0.0001 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 0.0539 
               
               
                   
                 3E 
                 PE 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 0.2818 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 &gt;0.9999 
               
               
                   
                   
                 NRE 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 0.0057 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 &gt;0.9999 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 0.0006 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 0.0002 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 &gt;0.9999 
               
               
                   
                   
                 REG 
                   
               
               
                   
                   
                 WT Sham vs WT SNI 
                 0.0197 
               
               
                   
                   
                 WT Sham vs MNK1 KO 
                 &gt;0.9999 
               
               
                   
                   
                 Sham 
                   
               
               
                   
                   
                 WT Sham vs MNK1 KO SNI 
                 0.7359 
               
               
                   
                   
                 WT SNI vs MNK1 KO Sham 
                 0.1015 
               
               
                   
                   
                 WT SNI vs MNK1 KO SNI 
                 &lt;0.0001 
               
               
                   
                   
                 MNK1 KO Sham vs SNI 
                 0.2210 
               
               
                   
                 3F 
                 BL: MNK1 KO SNI vs WT SNI 
                 &gt;0.9999 
               
               
                   
                   
                 D4: MNK1 KO SNI vs WT  
                 0.0157 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 D7: MNK1 KO SNI vs WT  
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 D11: MNK1 KO SNI vs WT  
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 D14: MNK1 KO SNI vs WT  
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 D17: MNK1 KO SNI vs WT  
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                 4D 
                 Male Sham vs Male SNI 
                 0.4137 
               
               
                   
                   
                 Female Sham vs Female 
                 0.9879 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                 5B 
                 L2/L3 ipsi WT Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 ipsi WT Sham vs 
                 0.0056 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L2/L3 contra Sham vs 
                 0.6122 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 contra Sham vs 
                 &lt;0.0001 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                 5C 
                 L2/L3 ipsi 4EKI Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 ipsi 4EKI Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L2/L3 con 4EKI Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 con 4EKI Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                 5D 
                 L2/L3 ipsi MNK Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 ipsi MNK Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L2/L3 con MNK Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                   
                 L5/L6 con MNK Sham vs 
                 &gt;0.9999 
               
               
                   
                   
                 SNI 
                   
               
               
                   
                 5E 
                 L2/L3 ipsi SNI veh vs tom 
                 &gt;0.9999 
               
               
                   
                   
                 L5/L6 ipsi SNI veh vs tom 
                 &lt;0.0001 
               
               
                   
                   
                 L2/L3 con SNI veh vs tom  
                 &gt;0.9999 
               
               
                   
                   
                 L5/L6 con SNI veh vs tom  
                 &lt;0.0001 
               
               
                   
                 S2C 
                 BL: Naïve vs vehicle 
                 &gt;0.9999 
               
               
                   
                   
                 BL: Naïve vs tomivosertib 
                 &gt;0.9999 
               
               
                   
                   
                 BL: vehicle vs 
                 &gt;0.9999 
               
               
                   
                   
                 tomivosertib 
                   
               
               
                   
                   
                 Test: Naïve vs vehicle 
                 0.1619 
               
               
                   
                   
                 Test: Naïve vs 
                 0.3293 
               
               
                   
                   
                 tomivosertib 
                   
               
               
                   
                   
                 Test: vehicle vs 
                 &gt;0.9999 
               
               
                   
                   
                 tomivosertib 
                   
               
               
                   
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 6C 
               
             
            
               
                   
               
               
                 One-way ANOVA with Bonferroni or unpaired t-test as indicated 
               
               
                 One-way ANOVA 
               
            
           
           
               
               
               
               
               
               
               
               
               
            
               
                   
                   
                 Betwwen 
                 Within 
                   
                   
                   
                   
                   
               
               
                   
                   
                 treatment 
                 treatment 
                   
                   
                   
                   
                 Bonferroni 
               
               
                 Fig 
                 Panel  
                 MS 
                 MS 
                 dfn.dfd 
                 F 
                 p 
                 Comparison 
                 p 
               
               
                   
               
            
           
           
               
               
               
               
               
               
               
               
               
            
               
                 2 
                 A 
                 2902 
                 300.3 
                 3.31 
                 9.663 
                 0.0001 
                 sham WT vs 
                 0.0089 
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI WT 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham WT vs 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham 4EKI 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham WT vs 
                 0.4574 
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI 4EKI 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI WT vs  
                 0.0089 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham 4EKI 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI WT vs SNI 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 4EKI 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Sham 4EKI vs 
                 0.4574 
               
               
                   
                   
                   
                   
                   
                   
                   
                 SNI 4EKI 
                   
               
               
                 4 
                 A- 
                 6012 
                 103.2 
                 2.9 
                 58.26 
                 &lt;0.0001 
                 Veh vs tom p.o 
                 &lt;0.0001 
               
               
                   
                 mPFC 
                   
                   
                   
                   
                   
                 Veh vs tom i.p. 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom p.o. vs tom 
                 0.2535 
               
               
                   
                   
                   
                   
                   
                   
                   
                 i.p. 
                   
               
               
                 4 
                 A-DRG 
                 8839 
                 1069 
                 2.9 
                 8.268 
                 0.0092 
                 Veh vs tom p.o. 
                 0.0217 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Veh vs tom i.p 
                 0.0176 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom p.o. vs tom 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 i.p 
                   
               
               
                 4 
                 A- 
                 8965 
                 1110 
                 2.8 
                 8.074 
                 0.0120 
                 Veh vs tom p.o. 
                 0.0275 
               
               
                   
                 Sciatic 
                   
                   
                   
                   
                   
                 Veh vs tom i.p. 
                 0.0257 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom p.o. vs tom 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 i. 
                   
               
               
                 4 
                 C-0h 
                 0.169 
                 0.303 
                 2.26 
                 0.558 
                 0.5786 
                 IL-6 + tom vs IL6 
                 0.12 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 
                 0.99 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom 
                 0.42 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                 C-1h 
                 1.836 
                 0.339 
                 2.26 
                 0.558 
                 0.5786 
                 IL-6 + tom vs IL6 
                 0.032 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 
                 0.039 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom 
                 0.96 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                 C-3h 
                 1.802 
                 0.319 
                 2.26 
                 5.655 
                 0.009 
                 IL-6 + tom vs IL6 
                 0.1 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 Tom only vs IL6 
                 0.041 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 IL6 + tom vs tom 
                 0.67 
               
               
                   
                   
                   
                   
                   
                   
                   
                 only  
                   
               
               
                 S1 
                 C 
                 4107 
                 273.6 
                 6.48 
                 15.01 
                 &lt;0.0001 
                 WT naive vs 
                 0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 MNK1 KO Sham 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs 
                 0.0164 
               
               
                   
                   
                   
                   
                   
                   
                   
                 MNK1 KO naive 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs 
                 0.0012 
               
               
                   
                   
                   
                   
                   
                   
                   
                 MNK1 KO SNI 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs 
                 &lt;0.0001 
               
               
                   
                   
                   
                   
                   
                   
                   
                 4EKI naive 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive vs WT 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 vehicle 
                   
               
               
                   
                   
                   
                   
                   
                   
                   
                 WT naive v WT 
                 &gt;0.9999 
               
               
                   
                   
                   
                   
                   
                   
                   
                 tom 
                   
               
               
                 S2 
                 A 
                 17.23 
                 3.153 
                 2.11 
                 5.465 
                 0.0225 
                 Naive vs vehicle 
                 0.0492 
               
               
                   
                   
                   
                   
                   
                   
                   
                 Naive vs 
                 0.0231 
               
               
                   
                   
                   
                   
                   
                   
                   
                 tomivosertib 
               
               
                   
               
            
           
           
               
               
               
               
               
            
               
                   
                   
                 Unpaired t-test 
                   
                   
               
               
                   
               
               
                 Fig  
                 Panel 
                 Comparison 
                   
                 p 
               
               
                 4 
                 b 
                 Sham + tomivosertib vs SNI + tomivosertib 
                   
                 .283 
               
               
                   
               
            
           
         
       
     
     
       
         
           
               
             
               
                 TABLE 6D 
               
             
            
               
                   
               
               
                 Statistical Analysis 
               
            
           
           
               
               
               
            
               
                 FIG. 
                 Test 
                 Posthoc comparison 
               
               
                   
               
               
                 1A 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test: 
               
               
                   
                 Interaction: F (6, 114)  = 3.367, P = 0.0043 
                 Vehicle x IFN-α at 3 h: P &lt; 0.0001, at 24 h: P = 0.003, at 3 d: 
               
               
                   
                 Time effect: F (6, 114)  = 5.570, P &lt; 0.0001 
                 P = 0.0004 
               
               
                   
                 Treatment effect: F (1, 19)  = 29.53, P &lt; 0.0001 
                   
               
               
                 1B 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test: 
               
               
                   
                 Interaction: F (6, 114)  = 2.908, P = 0.0112 
                 Vehicle x IFN-β at 1 h: P = 0.0007, at 3 h: P &lt; 0.0001, at 24 h: 
               
               
                   
                 Time effect: F (6, 114)  = 3.223, P = 0.0058 
                 P &lt; 0.0001, at 3 d: P &lt; 0.0001, at 6 d: P = 0.0006 
               
               
                   
                 Treatment effect: F (1, 19)  = 63.79, P &lt; 0.0001 
                   
               
               
                 1E 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test: vehicle x IFN-α at 1 h: P = 0.0002, at 3 h: 
               
               
                   
                 Interaction: F (6, 60)  = 3.453, P = 0.0054 
                 P = 0.0430, at 24 h: P = 0.0018, at 3 d: P = 0.0020 
               
               
                   
                 Time effect: F (6, 60)  = 7.657, P &lt; 0.0001 
                   
               
               
                   
                 Treatment effect: F (1, 10)  = 29.05, P = 0.0003 
                   
               
               
                 1F 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test: vehicle x IFN-β at 1 h: P = 0.0109, at 3 h: 
               
               
                   
                 Interaction: F (6, 60) = 3.569, P = 0.0043 
                 P &lt; 0.0001, at 24 h: 0.0037, at 3 d: P = 0.0032 
               
               
                   
                 Time effect: F (6, 60)  = 6.728, P &lt; 0.0001 
                   
               
               
                   
                 Treatment effect: F (1, 10)  = 42.45, P &lt; 0.0001 
                   
               
               
                 2E 
                 Ordinary one-way ANOVA: 
                 Dunnett&#39;s test: 
               
               
                   
                 IFN-α 
                 IFN-α 
               
               
                   
                 pJAK: F (3, 8)  = 5.088, P = 0.0293 
                 Vehicle x IFN-α at 1 h: P = 0.0163, at 3 h: 0.0473 
               
               
                   
                 pSTAT1: F (3, 8)  = 30.42, P = 0.0001 
                 Vehicle x IFN-α at 1 h: P &lt; 0.0001 
               
               
                   
                 STAT1: F (3, 8)  = 11.71, P = 0.0027 
                 Vehicle x IFN-α at 6 h: P = 0.0036 
               
               
                   
                 p-STAT3: F (3, 8)  = 5.298, P = 0.0264 
                 Vehicle x IFN-α at 1 h: P = 0.0281 
               
               
                   
                 IFN-β 
                 IFN-β 
               
               
                   
                 pJAK: F (3, 20)  = 3.614, P = 0.0311 
                 Vehicle x IFN-β at 1 h: P = 0.0190 
               
               
                   
                 pSTAT1: F (3, 8)  = 6.424, P = 0.0159 
                 Vehicle x IFN-β at 1 h: P = 0.0134 
               
               
                   
                 STAT1: F (3, 8)  = 13.7, P = 0.0016 
                 Vehicle x IFN-β at 6 h: P = 0.0010 
               
               
                   
                 p-STAT3: F (3, 8)  = 9.089, P = 0.0059 
                 Vehicle x IFN-β at 1 h: 0.0074 
               
               
                 2G 
                 Ordinary one-way ANOVA: 
                 Dunnett&#39;s test: 
               
               
                   
                 IFN-α 
                 IFN-α 
               
               
                   
                 p-ERK: F (3, 15)  = 13.39, P = 0.0002 
                 Vehicle x IFN-α at 1 h: 0.0119 
               
               
                   
                 p-eIF4E: F (3, 8)  = 17.29, P = 0.0007 
                 Vehicle x IFN-α at 1 h: 0.0011 
               
               
                   
                 pAKT: F (3, 20)  = 29.26, P &lt; 0.0001 
                 Vehicle x IFN-α at 1 h: 0.0001, at 3 h: 0.0001, at 6 h: 0.0337 
               
               
                   
                 IFN-β 
                 IFN-β 
               
               
                   
                 p-ERK: F (3, 20)  = 13.99, P &lt; 0.0001 
                 Vehicle x IFN-β at 1 h: P = 0.0109 
               
               
                   
                 p-eIF4E: F (3, 20)  = 1.894, P = 0.1631 
                 Vehicle x IFN-β at 1 h: P = 0.0343 
               
               
                   
                 pAKT: F (3, 20)  = 3.847, P = 0.0253 
                 Vehicle x IFN-β at 1 h: 0.0168 
               
               
                 4C 
                 Ordinary two-way ANOVA: 
                 Uncorrected Fisher&#39;s LSD. Control vs IFN-α at 300 pA: 
               
               
                   
                 Interaction: F (3, 48)  = 0.7803, P = 0.5108 
                 P = 0.0127, at 500 pA: P = 0.0053, at 700 pA: P = 0.0045 
               
               
                   
                 pA effect: F (3, 48)  = 11.38, P &lt; 0.0001 
                   
               
               
                   
                 Treatment effect: F (1, 48)  = 22.98, P &lt; 0.0001 
                   
               
               
                 4D 
                 Two-way ANOVA: 
                 Uncorrected Fisher&#39;s LSD: Control vs IFN-α at 100 pA: 
               
               
                   
                 Interaction: F (3, 48)  = 0.2291, P = 0.8757 
                 P = 0.0054, At 300 pA: P = 0.0203, at 700 pA: P = 0.0498 
               
               
                   
                 pA effect: F (3, 48)  = 5.316, P = 0.0030 
                   
               
               
                   
                 Treatment effect: F (1, 48)  = 21.02, P &lt; 0.0001 
                   
               
               
                 5B 
                 Ordinary One-way ANOVA: F (2, 670)  = 29.87,  
                 Dunnett&#39;s test. Vehicle x IFN-α: P = 0.0002; vehicle x IFN-β: 
               
               
                   
                 P &lt; 0.0001 
                 P = 0.0001 
               
               
                 5D 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + IFN-α x MNK1 −/−  + IFN-α at 1 h: 
               
               
                   
                 Interaction: F (6, 60)  = 2.854, P = 0.0164 
                 P = 0.0155, at 3 h: P = 0.0055, at 24 h: P = 0.0106, at 3 d:  
               
               
                   
                 Time effect: F (6, 60)  = 10.41, P &lt; 0.0001 
                 P = 0.0007 
               
               
                   
                 Genotyping effect: F (1, 10)  = 53.35, P &lt; 0.0001 
                   
               
               
                 5E 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + IFN-β x MNK1 −/−  + IFN-β at 3 h: 
               
               
                   
                 Interaction: F (6, 60)  = 6.712, P &lt; 0.0001 
                 P = 0.0009, at 24 h: P = 0.0160, at 3 d: P = 0.0008 
               
               
                   
                 Time effect: F (6, 60)  = 10.73, P &lt; 0.0001 
                   
               
               
                   
                 Genotyping effect: F (1, 10)  = 48.24, P &lt; 0.0001 
                   
               
               
                 5H 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + IFN-α x eIF4E S209A  + IFN-α at 1 h: 
               
               
                   
                 Interaction: F (6, 60)  = 4.514, P = 0.0008 
                 P = 0.0053, at 3 h: 0.0047, at 3 d: P = 0.0384 
               
               
                   
                 Time effect: F (6, 60)  = 14.40, P &lt; 0.0001 
                   
               
               
                   
                 Genotyping effect: F (1, 10)  = 19.43, P = 0.0013 
                   
               
               
                 5I 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + IFN-β x eIF4E S209A −/−  + IFN-β at 3 h: 
               
               
                   
                 Interaction: F (6, 60)  = 3.227, P = 0.0082 
                 P = 0.009, at 24 h: P = 0.00, 41 at 3 d: P = 0.0006 
               
               
                   
                 Time effect: F (6, 60)  = 9.718, P &lt; 0.0001 
                   
               
               
                   
                 Genotyping effect: F (1, 10)  = 67.09, P &lt; 0.0001 
                   
               
               
                 6A 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. Vehicle x Poly (I:C) at 1 h (day 2): **P = 0.0034,  
               
               
                   
                 Interaction: F (6, 60)  = 3.504, P = 0.0049 
                 at 6 h: *P = 0.0247, at 24 h: ***P = 0.0001. 
               
               
                   
                 Time effect: F (6, 60)  = 4.619, P = 0.0006 
                 Dunnett&#39;s test. Baseline x 1 h (Day 1):  ### P = 0.0009, Baseline x 
               
               
                   
                 Treatment effect: F (1, 10)  = 18.44, P = 0.0016 
                 24 h:  # P = 0.0237; Baseline x 1 h (day 2):  #### P &lt; 0.0001, Baseline x 
               
               
                   
                   
                 6 h:  ### P = 0.0002, Baseline x 24 h:  #### P &lt; 0.0001 
               
               
                 6B 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test: 
               
               
                   
                 Interaction: F (4, 40)  = 1.499, P = 0.2208 
                 Vehicle x Poly (I:C) at 3 h (day 2): *P = 0.0159. 
               
               
                   
                 Time effect: F (4, 40)  = 0.3799, P = 0.8216 
                   
               
               
                   
                 Treatment effect: F (1, 10)  = 6.34, P = 0.0305 
                   
               
               
                 6C 
                 Unpaired t test. Day 1: t = 7.098, P &lt; 0.0001;  
                 N/A 
               
               
                   
                 Day 2: t = 3.54, P = 0.0054 
                   
               
               
                 6D 
                 Unpaired t test. t = 3.519, P = 0.0245 
                 N/A 
               
               
                 6E 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + Poly (I:C) x MNK1 −/−  + Poly (I:C) at 24 h 
               
               
                   
                 Interaction: F (6, 96)  = 2.163, P = 0.0532 
                 (day 2): ***P = 0.0007. 
               
               
                   
                 Time effect: F (6, 96)  = 6.495, P &lt; 0.0001 
                 Dunnett&#39;s test. Baseline x WT + Poly (I:C) at 1 h (day 2): 
               
               
                   
                 Genotyping effect: F (1, 16)  = 14.59, P = 0.0015 
                   ##  = 0.0038, at 6 h:  ### P = 0.0007,  ### P = 0.0009 
               
               
                 6F 
                 Two-way RM ANOVA: 
                 Dunnett&#39;s test. Baseline x WT + Poly (I:C) at 3 h (day 2): 
               
               
                   
                 Interaction: F (4, 64)  = 1.272, P = 0.2901 
                   # P = 0.0216 
               
               
                   
                 Time effect: F (4, 64)  = 2.133 P = 0.0869 
                   
               
               
                   
                 Genotyping effect: F (1, 16)  = 8.663, P = 0.0095 
                   
               
               
                 6G 
                 Two-way RM ANOVA: 
                 Bonferroni&#39;s test. WT + Poly (I:C) x eIF4E S209A −/−  + Poly (I:C) at 
               
               
                   
                 Interaction: F (6, 96)  = 1.712, P = 0.1263 
                 1 h (day 1): *P = 0.0148, at 24 h: *P = 0.0493, at 6 h (day 2): 
               
               
                   
                 Time effect: F (6, 96)  = 7.252, P &lt; 0.0001 
                 ***P = 0.0002 
               
               
                   
                 Genotyping effect: F (1, 16)  = 29.15, P &lt; 0.0001 
                 Dunnett&#39;s test. Baseline x WT + Poly (I:C) at 1 h (day 1): 
               
               
                   
                   
                   ## P = 0.0092, at 6 h:  # P = 0.0371, at 24 h:  # P = 0.0144, at 1 h (day  
               
               
                   
                   
                 2):  ### P = 0.0006, at 6 h:  ## P = 0.0016, at 24 h:  # P = 0.0041 
               
               
                 6H 
                 Two-way RM ANOVA: 
                 Dunnett&#39;s test: 
               
               
                   
                 Interaction: F (4, 64)  = 1.462, P = 0.2242 
                 Baseline x WT + Poly (I:C) at 3 h (day 2):  # P = 0.0216 
               
               
                   
                 Time effect: F (4, 64)  = 0.2079, P = 0.9331 
                   
               
               
                   
                 Genotyping effect: F (1, 16)  = 3.410, P = 0.0834 
                   
               
               
                 6I 
                 Ordinary One-way ANOVA: 
                 Dunnett&#39;s test: 
               
               
                   
                 DRG; F (2, 6)  = 42.63, P = 0.0003 
                 P = 0.002, WT x eIF4E S209A −/−   
               
               
                   
                 SDH; F (2, 6)  = 10.16, P = 0.0119 
                 P = 0.0441, WT x MNK1 −/− ; P = 0.0080, WT x eIF4E S209A −/−   
               
               
                   
                 Sciatic Nerve; F (2, 6)  = 210.6, P &lt; 0.0001 
                 P &lt; 0.0001, WT x MNK1 −/− ; P &lt; 0.0001, WT x eIF4E S209A −/−   
               
               
                   
               
            
           
         
       
     
     All of the compositions and/or methods disclosed and claimed herein can be made and executed without undue experimentation in light of the present disclosure. While the compositions and methods of this disclosure have been described in terms of preferred embodiments, it will be apparent to those of skill in the art that variations may be applied to the compositions and/or methods and in the steps or in the sequence of steps of the method described herein without departing from the concept, spirit and scope of the disclosure. More specifically, it will be apparent that certain agents which are both chemically and physiologically related may be substituted for the agents described herein while the same or similar results would be achieved. All such similar substitutes and modifications apparent to those skilled in the art are deemed to be within the spirit, scope and concept of the disclosure as defined by the appended claims. 
     VI. REFERENCES 
     The following references, to the extent that they provide exemplary procedural or other details supplementary to those set forth herein, are specifically incorporated herein by reference:
     Moy et al., J. Neurosci. 37(31):7481-7499, 2017.   Remington&#39;s Pharmaceutical Sciences, 15th Edition.   WO2017117052   WO2018218038   

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