mteb/CovidQA huggingface dataset:
https://doi.org/10.1371/journal.pone.0199067.g005 addition of urea treatment would substantially weaken the interaction between the antibody and crCD40L.
Since the cotton rat CD40L protein sequence shared 82% identity with the mouse CD40L protein sequence with similar functional domains, we evaluated the biological activity of the recombinant crCD40L on immature murine bone marrow DCs. We conducted experiments based on known functional activities of CD40L in other animal species. Specifically, maturation of immature DCs after exposure to antigen is known to play a crucial role in their immunity-stimulating function [36] , while trimeric recombinant CD40L has been shown to stimulate DC immunomodulating functions [42] . When CD40L engages CD40 on the surface of DCs, it promotes cytokine production, the induction of cell surface co-stimulatory molecules, and facilitates the cross-presentation of antigen by these cells [27] . In addition, CD11c is a DC integrin marker and upon stimulation, is down-regulated [43] . Intracellular adhesion marker CD54, along with co-stimulatory markers CD40, CD80, and CD86 are all upregulated upon stimulation
with CD40L [44, 45] . Moreover, mouse I-A d major histocompatibility complex is also up-regulated upon stimulation with CD40L [45] . When our recombinant crCD40L was used to stimulate immature murine bone marrow DCs, we observed similar results to that when murine CD40L is used (Tables 1 and 2 ). CD11c was down regulated in both median flouresence intensity (Table 1 ) and the percentage of positive cells ( Table 2 ). The co-stimulatory molecules CD54, CD40, CD80, and CD86 were all up-regulated in both median fluorescence intensity (Table 1 ) and the percentage of positive cells ( Table 2 ). The Mouse I-A d major histocompatibility complex was upregulated in median fluorescence intensity (Table 1) but not up-regulated in terms of the overall percentage of positive cells (Table 2) . We speculate this to be due to the species incompatibility since we are stimulating mouse bone marrow cells with cotton rat CD40L. Nevertheless, the crCD40L was able to promote up-regulation of key
co-stimulatory markers on immature DCs promoting DC maturation. The gating strategy used for the flow cytometry analysis is provided in S3 Fig along with overlapping histograms of the intracellular adhesion marker and co-stimulatory markers. CD40-induced activation of cytokine gene expression in DCs by CD40L is an important process in the initiation of primary immune responses and is critical for DC maturation and the generation of antigen-specific T cell responses [46] . IL-6 is a highly pleiotropic cytokine in that it stimulates the activation, proliferation, and survival of T cells, and furthermore, modifies DC function and survival [47] [48] [49] [50] . We tested if the recombinant crCD40L could induce IL-6 gene expression (Fig 6a) and production of the cytokine (Fig 6b) by immature murine bone marrow DCs. The results indicate that a significant increase in both IL-6 gene expression and cytokine production in immature murine bone marrow DCs was observed forty hours after
stimulation with the crCD40L. Collectively, the observation that both the upregulation of immature DC cell surface maturation markers and increased IL-6 gene expression and cytokine production provide strong evidence of the biological activity of crCD40L.
In summary, the cotton rat CD40L cDNA that we isolated was a 1104 nucleotide sequence with a poly-A tail containing an ORF of 783 bp which coded for a 260 aa protein. The recombinant cotton rat CD40L was recognized by an Ab against mouse CD40L in direct ELISA, and showed biological activity by upregulating maturation markers (CD40, CD54, CD80, and CD86) as well as I-A d on immature bone marrow murine DCs and moreover, inducing upregulation of IL-6 gene and cytokine expression in these cells.

The isolation of the cotton rat CD40L sequence and availability of CD40L has the potential to positively impact basic immunological research and vaccine development, given the critical importance of this protein in orchestrating immune responses [51, 52] .
Bioinformatics analysis of rabbit haemorrhagic disease virus genome

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377956/

SHA: eff26d8739498efca2d32fe2e66cdbebf0569c50

Authors: Tian, Xiao-ting; Li, Bao-yu; Zhang, Liang; Jiao, Wen-qiang; Liu, Ji-xing
Date: 2011-11-01
DOI: 10.1186/1743-422x-8-494
License: cc-by
Abstract: BACKGROUND: Rabbit haemorrhagic disease virus (RHDV), as the pathogeny of Rabbit haemorrhagic disease, can cause a highly infectious and often fatal disease only affecting wild and domestic rabbits. Recent researches revealed that it, as one number of the Caliciviridae, has some specialties in its genome, its reproduction and so on. RESULTS: In this report, we firstly analyzed its genome and two open reading frameworks (ORFs) from this aspect of codon usage bias. Our researches indicated that mutation pressure rather than natural is the most important determinant in RHDV with high codon bias, and the codon usage bias is nearly contrary between ORF1 and ORF2, which is maybe one of factors regulating the expression of VP60 (encoding by ORF1) and VP10 (encoding by ORF2). Furthermore, negative selective constraints on the RHDV whole genome implied that VP10 played an important role in RHDV lifecycle. CONCLUSIONS: We conjectured that VP10 might be beneficial for the replication,
release or both of virus by inducing infected cell apoptosis initiate by RHDV. According to the results of the principal component analysis for ORF2 of RSCU, we firstly separated 30 RHDV into two genotypes, and the ENC values indicated ORF1 and ORF2 were independent among the evolution of RHDV.
Text: Synonymous codons are not used randomly [1] . The variation of codon usage among ORFs in different organisms is accounted by mutational pressure and translational selection as two main factors [2, 3] . Levels and causes of codon usage bias are available to understand viral evolution and the interplay between viruses and the immune response [4] . Thus, many organisms such as bacteria, yeast, Drosophila, and mammals, have been studied in great detail up on codon usage bias and nucleotide composition [5] . However, same researches in viruses, especially in animal viruses, have been less studied. It has been observed that codon usage bias in human RNA viruses is related to mutational pressure, G +C content, the segmented nature of the genome and the route of transmission of the virus [6] . For some vertebrate DNA viruses, genome-wide mutational pressure is regarded as the main determinant of codon usage rather than natural selection for specific coding triplets [4] . Analysis of the
bovine papillomavirus type 1 (BPV1) late genes has revealed a relationship between codon usage and tRNA availability [7] . In the mammalian papillomaviruses, it has been proposed that differences from the average codon usage frequencies in the host genome strongly influence both viral replication and gene expression [8] . Codon usage may play a key role in regulating latent versus productive infection in Epstein-Barr virus [9] . Recently, it was reported that codon usage is an important driving force in the evolution of astroviruses and small DNA viruses [10, 11] . Clearly, studies of synonymous codon usage in viruses can reveal much about the molecular evolution of viruses or individual genes. Such information would be relevant in understanding the regulation of viral gene expression.
Up to now, little codon usage analysis has been performed on Rabbit haemorrhagic disease virus (RHDV), which is the pathogen causing Rabbit haemorrhagic disease (RHD), also known as rabbit calicivirus disease (RCD) or viral haemorrhagic disease (VHD), a highly infectious and often fatal disease that affects wild and domestic rabbits. Although the virus infects only rabbits, RHD continues to cause serious problems in different parts of the world. RHDV is a single positive stranded RNA virus without envelope, which contains two open reading frames (ORFs) separately encoding a predicted polyprotein and a minor structural protein named VP10 [12] . After the hydrolysis of self-coding 3C-like cysteinase, the polyprotein was finally hydrolyzed into 8 cleavage products including 7 nonstructural proteins and 1 structural protein named as VP60 [13, 14] . Studies on the phylogenetic relationship of RHDVs showed only one serotype had been isolated, and no genotyping for RHDV was reported. It
reported that the VP10 was translated with an efficiency of 20% of the preceding ORF1 [15] . In order to better understand the characteristics of the RHDV genome and to reveal more information about the viral genome, we have analyzed the codon usage and dinucleotide composition. In this report, we sought to address the following issues concerning codon usage in RHDV: (i) the extent and causes of codon bias in RHDV; (ii) A possible genotyping of RHDV; (iii) Codon usage bias as a factor reducing the expression of VP10 and (iiii) the evolution of the ORFs.
The 30 available complete RNA sequences of RHDV were obtained from GenBank randomly in January 2011. The serial number (SN), collection dates, isolated areas and GenBank accession numbers are listed in Table 1 .

To investigate the characteristics of synonymous codon usage without the influence of amino acid composition, RSCU values of each codon in a ORF of RHDV were calculated according to previous reports (2 Sharp, Tuohy et al. 1986 ) as the followed formula:

Where g ij is the observed number of the ith codon for jth amino acid which has n i type of synonymous codons. The codons with RSCU value higher than 1.0 have positive codon usage bias, while codons with value lower than 1.0 has relative negative codon usage bias. As RSCU values of some codons are nearly equal to 1.0, it means that these codons are chosen equally and randomly.

The index GC3s means the fraction of the nucleotides G+C at the synonymous third codon position, excluding Met, Trp, and the termination codons.
The ENC, as the best estimator of absolute synonymous codon usage bias [16] , was calculated for the quantification of the codon usage bias of each ORF [17] . The predicted values of ENC were calculated as ENC = 2 + s + 29

where s represents the given (G+C) 3 % value. The values of ENC can also be obtained by EMBOSS CHIPS program [18] . 

Analyses were conducted with the Nei-Gojobori model [19] , involving 30 nucleotide sequences. All positions containing gaps and missing data were eliminated. The values of dn, ds and ω (dn/ds) were calculated in MEGA4.0 [20] .
Multivariate statistical analysis can be used to explore the relationships between variables and samples. In this study, correspondence analysis was used to investigate the major trend in codon usage variation among ORFs. In this study, the complete coding region of each ORF was represented as a 59 dimensional vector, and each dimension corresponds to the RSCU value of one sense codon (excluding Met, Trp, and the termination codons) [21] .

Correlation analysis was used to identify the relationship between nucleotide composition and synonymous codon usage pattern [22] . This analysis was implemented based on the Spearman's rank correlation analysis way. All statistical processes were carried out by with statistical software SPSS 17.0 for windows.
The values of nucleotide contents in complete coding region of all 30 RHDV genomes were analyzed and listed in Table 2 and Table 3 . Evidently, (C+G)% content of the ORF1 fluctuated from 50.889 to 51.557 with a mean value of 51.14557, and (C+G)% content of the ORF2 were ranged from 35.593 to 40.113 with a mean value of 37.6624, which were indicating that nucleotides A and U were the major elements of ORF2 against ORF1. Comparing the values of A 3 %, U 3 %, C 3 % and G 3 %, it is clear that C 3 % was distinctly high and A 3 % was the lowest of all in ORF1 of RHDV, while U 3 % was distinctly high and C 3 % was the lowest of all in ORF2 of Table 2 Identified nucleotide contents in complete coding region (length > 250 bps) in the ORF1 of RHDV (30 isolates) genome Table 4 . Most preferentially used codons in ORF1 were C-ended or G-ended codons except Ala, Pro and Ser, however, A-ended or G-ended codons were preferred as the content of ORF2. In addition, the dn, ds and ω(dN/dS) values of
ORF1 were separately 0.014, 0.338 and 0.041, and the values of ORF2 were 0.034, 0.103 and 0.034, respectively. The ω values of two ORFs in RHDV genome are generally low, indicating that the RHDV whole genome is subject to relatively strong selective constraints.
COA was used to investigate the major trend in codon usage variation between two ORFs of all 30 RHDV selected for this study. After COA for RHDV Genome, one major trend in the first axis (f' 1 ) which accounted for 42.967% of the total variation, and another major trend in the second axis (f' 2 ) which accounted for 3.632% of the total variation. The coordinate of the complete coding region of each ORF was plotted in Figure 1 defining by the first and second principal axes. It is clear that coordinate of each ORF is relatively isolated. Interestingly, we found that relatively isolated spots from ORF2 tend to cluster into two groups: the ordinate value of one group (marked as Group 1) is
To estimate whether the evolution of RHDV genome on codon usage was regulated by mutation pressure or natural selection, the A%, U%, C%, G% and (C+G)% were compared with A 3 %, U 3 %, C 3 %, G 3 % and (C 3 +G 3 )%, respectively (Table 5 ). There is a complex correlation among nucleotide compositions. In detail, A 3 %, U 3 %, C 3 % and G 3 % have a significant negative correlation with G%, C%, U% and A% and positive correlation with A%, U%, C% and G%, respectively. It suggests that nucleotide constraint may influence synonymous codon usage patterns. However, A 3 % has non-correlation with U% and C%, and U 3 % has noncorrelation with A% and G%, respectively, which haven't indicated any peculiarity about synonymous codon usage. Furthermore, C 3 % and G 3 % have non-correlation with A%, G% and U%, C%, respectively, indicating these data don't reflect the true feature of synonymous codon usage as well. Therefore, linear regression analysis was implemented to analyze the correlation between
synonymous codon usage bias and nucleotide compositions. Details of correlation analysis between the first two principle axes (f' 1 and f' 2 ) of each RHDV genome in COA and nucleotide contents were listed in Table 6 . In surprise, only f2 values are closely related to base nucleotide A and G content on the third codon position only, suggesting that nucleotide A and G is a factor influencing the synonymous codon usage pattern of RHDV genome. However, f' 1 value has non-correlation with base nucleotide contents on the third codon position; it is observably suggest that codon usage patterns in RHDV were probably influenced by other factors, such as the second structure of viral genome and limits of host. In spite of that, compositional constraint is a factor shaping the pattern of synonymous codon usage in RHDV genome. Figure 1 A plot of value of the first and second axis of RHDV genome in COA. The first axis (f' 1 ) accounts for 42.967% of the total variation, and the second axis (f' 2
) accounts for 3.632% of the total variation. Table 5 Summary of correlation analysis between the A, U, C, G contents and A 3 , U 3 , C 3 , G 3 contents in all selected samples
There have been more and more features that are unique to RHDV within the family Caliciviridae, including its single host tropism, its genome and its VP10 as a structural protein with unknown function. After we analyzed synonymous codon usage in RHDV (Table 2) , we obtained several conclusions and conjectures as followed.

4.1 Mutational bias as a main factor leading to synonymous codon usage variation ENC-plot, as a general strategy, was utilized to investigate patterns of synonymous codon usage. The ENC-plots of ORFs constrained only by a C 3 +G 3 composition will lie on or just below the curve of the predicted values [18] . ENC values of RHDV genomes were plotted against its corresponding (C 3 +G 3 ) %. All of the spots lie below the curve of the predicted values, as shown in Figure 2 , suggesting that the codon usage bias in all these 30 RHDV genomes is principally influenced by the mutational bias.
As we know, the efficiency of gene expression is influenced by regulator sequences or elements and codon usage bias. It reported that the RNA sequence of the 3terminal 84 nucleotides of ORF1were found to be crucial for VP10 expression instead of the encoded peptide. VP10 coding by ORF2 has been reported as a low expressive structural protein against VP60 coding by ORF1 [5] . And its efficiency of translation is only 20% of VP60. According to results showed by Table 4 , it revealed the differences in codon usage patterns of two ORFs, which is a possible factor reducing the expression of VP10.

Although VP10 encoded by ORF2, as a minor structural protein with unknown functions, has been described by LIU as a nonessential protein for virus infectivity, the ω Figure 2 Effective number of codons used in each ORF plotted against the GC3s. The continuous curve plots the relationship between GC3s and ENC in the absence of selection. All of spots lie below the expected curve.
value of ORF2 suggests VP10 plays an important role in the certain stage of whole RHDV lifecycle. After combining with low expression and ω value of VP10, we conjectured that VP10 might be beneficial for the replication, release or both of virus by inducing infected cell apoptosis initiate by RHDV. This mechanism has been confirmed in various positive-chain RNA viruses, including coxsackievirus, dengue virus, equine arterivirus, footand-mouth disease virus, hepatitis C virus, poliovirus, rhinovirus, and severe acute respiratory syndrome [23] [24] [25] [26] [27] [28] [29] , although the details remain elusive.
As preceding description, ENC reflects the evolution of codon usage variation and nucleotide composition to some degree. After the correlation analysis of ENC values between ORF1 and ORF2 (Table 7) , the related coefficient of ENC values of two ORFs is 0.230, and p value is 0.222 more than 0.05. These data revealed that no correlation existed in ENC values of two ORFs, indicating that codon usage patterns and evolution of two ORFs are separated each other. Further, this information maybe helps us well understand why RSCU and ENC between two ORFs are quite different.
Interestingly, we found that relatively isolated spots from ORF2 tend to cluster into two groups: the ordinate value of one group (marked as Group 1) is positive value and the other one (marked as Group 2) is negative value. And all of those strains isolated before 2000 belonged to Group 2, including Italy-90, RHDV-V351, RHDV-FRG, BS89, RHDV-SD and M67473.1. Although RHDV has been reported as only one type, this may be a reference on dividing into two genotypes.

In this report, we firstly analyzed its genome and two open reading frameworks (ORFs) from this aspect of codon usage bias. Our researches indicated that mutation pressure rather than natural is the most important determinant in RHDV with high codon bias, and the codon usage bias is nearly contrary between ORF1 and ORF2, which is maybe one of factors regulating the expression of VP60 (encoding by ORF1) and VP10
(encoding by ORF2). Furthermore, negative selective constraints on the RHDV whole genome implied that VP10 played an important role in RHDV lifecycle. We conjectured that VP10 might be beneficial for the replication, release or both of virus by inducing infected cell apoptosis initiate by RHDV. According to the results of the principal component analysis for ORF2 of RSCU, we firstly separated 30 RHDV into two genotypes, and the ENC values indicated ORF1 and ORF2 were independent among the evolution of RHDV. All the results will guide the next researches on the RHDV as a reference.
Obesity and risk of respiratory tract infections: results of an infection-diary based cohort study

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819164/

SHA: ee0c318d282c0089cca94f0b2ea4d90db2ab9f8a

Authors: Maccioni, Livia; Weber, Susanne; Elgizouli, Magdeldin; Stoehlker, Anne-Sophie; Geist, Ilona; Peter, Hans-Hartmut; Vach, Werner; Nieters, Alexandra
Date: 2018-02-20
DOI: 10.1186/s12889-018-5172-8
License: cc-by
Abstract: BACKGROUND: Respiratory tract infections (RTIs) are a major morbidity factor contributing largely to health care costs and individual quality of life. The aim of the study was to test whether obesity (BMI ≥ 30 kg/m(2)) is one of the risk factors underlying frequent RTIs in the German adult population. METHODS: We recruited 1455 individuals between 18 to 70 years from a cross-sectional survey on airway infections in Germany and invited them to self-report in diaries incident RTIs experienced during three consecutive winter/spring seasons. RTIs reported in these 18 months and summary measures adding-up individual RTIs were the outcomes of interest. RESULTS: Compared to individuals with normal weight, obese individuals reported a consistently higher frequency of upper and lower RTIs and predominantly fell in the upper 10% group of a diary sumscore adding-up 10 different RTI symptoms over time. Obesity was associated both with lower RTIs ((adjusted)OR = 2.02, 95%CI = 1.36–3.00)
and upper RTIs ((adjusted)OR = 1.55, 95%CI = 1.22–1.96). Adjusting for demographic and lifestyle variables did only marginally affect ORs. Stratified analyses suggested a stronger association for women and effect modifications by sports activity and dietary habits. CONCLUSIONS: We confirm the association of obesity with infection burden and present evidence for putative interaction with sports activity and dietary patterns. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5172-8) contains supplementary material, which is available to authorized users.
Text: Frequent and severe respiratory tract infections (RTIs) constitute an important morbidity factor in our society and a considerable cost burden in terms of medical treatment and time of work-loss [1, 2] . RTIs are divided into upper RTIs (URTIs) including common cold, pharyngitis, otitis, sinusitis, laryngotracheitis, epiglottitis and lower RTIs (LRTIs) including bronchitis, pneumonia and bronchiolitis [3] . Individual exposure to infectious agents and host factors such as smoking [4, 5] and vitamin D status [6, 7] are believed to contribute to observed differences in RTI risk. In addition, the role of overweight (body mass index (BMI) = 25.0-29.9 kg/m 2 ) and in particular obesity (BMI ≥ 30 kg/m 2 ) in predisposition to RTIs is increasingly discussed [8] [9] [10] [11] [12] [13] . This growing interest is driven by the rising number of overweight and obese individuals worldwide [14] and the emerging knowledge of notable immunological imbalances in association with obesity [15] .
Most of the studies targeting adults explored the association of obesity with specific RTIs and their outcomes. Thus, obesity was associated with non-allergic rhinitis [8] and influenza like-illness [9] . Moreover, two population-based studies which investigated the role of obesity as risk factor for community acquired pneumonia (CAP) in the general population resulted in controversial findings [10, 11] . Two recent Danish population-based studies reported an excess of a large spectrum of RTIs including pneumonia among obese people [12, 13] . The overall aim of our study targeting the adult population in South Baden, Germany, is to identify risk factors for the susceptibility to RTIs. Here we present data on the role of obesity as contributing factor to a high RTI burden in the German society and explore effect modification by gender, sports activity and nutritional patterns.