bluuebunny/crossref_metadata_2025_split huggingface dataset:
M7G-related miRNA biomarkers for predicting overall survival outcomes for colon carcinoma
Authors: Yuan Lebin , Cheng Fei , Wu Zhao , Shen Wei 
Published: March 2022

Abstract
Colon cancer (COAD) is a highly malignant disease with poor prognosis, more effective treatment strategies need to be explored urgently. M7G methylation can molecularly affect transcriptional processes leading to cancer development. However, the prognostic value of m7G-related gene miRNAs in colon cancer remains to be further investigated. In this study, miRNA, mRNA expression profiles and corresponding clinical data of COAD patients were downloaded from the public database TCGA. A total of 109 m7G-related gene miRNAs were differentially expressed between COAD and adjacent normal tissues in TCGA (p<0.05 and |logFC|>=1), and 13 differentially expressed genes (DEGs) were correlated with overall survival in univariate Cox regression analysis. Based on Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression, a polygenic prognostic model was constructed, and the risk score was validated. Five gene biomarkers (hsa−miR−21−3p, hsa−miR−887−5p, hsa−miR−9−5p, hsa−miR−378d, hsa−miR−31−5p) were associated with colon cancer prognosis. The patients were divided into high and low risk groups according to the risk score. The OS of patients in the high-risk group was significantly higher than that of the patients in the lower risk group (P < 0.001). The time-dependent ROC curve analysis confirmed the predictive ability of tumor biomarkers. Risk score was an independent predictor of OS (HR>1, P<0.001). Functional enrichment analysis showed that immune-related pathways were involved in the regulatory process. In conclusion, five novel m7G-related gene miRNAs biomarkers can be used for prognosis prediction of colon cancer. Targeting m7g-related miRNAs may be an alternative treatment for COAD.
Free-living relatives of highly abundant unicellular marine parasites elucidate plastid loss
Authors: Hehenberger Elisabeth , Tikhonenkov Denis , Cooney Elizabeth , Jacko-Reynolds Victoria , Irwin Nicholas , Keeling Patrick 
Published: March 2022

Abstract
Although photosynthesis has been lost many times, complete loss of the plastid organelle is considered to be very rare, since plastids are integrated into host metabolism in many ways. But understanding plastid loss is critical to understanding the evolution of photosynthesis and endosymbiosis more broadly. Plastid loss is a central force underlying the distribution of eukaryotic photosynthesis, and also key to understanding the impact of endosymbiosis on the host genome. Endosymbiosis is also widely held to facilitate a massive influx of new genes into the host genome, which may continue to function in the organelle, or may take on functions in other subcellular compartments. This leads to the prediction that after plastid loss the nuclear genome might retain numerous functional genes originating from the former plastid, and by extension the presence or absence of such a genetic “footprint” has been used to argue for or against cryptic, ancient endosymbioses. But our current understanding of the fate of such genes and plastid loss in general is insufficient to make such claims. Currently the only two relatively clear cases of plastid loss are in highly reduced parasites, neither of which have closely-related free-living relatives with plastids to compare. Accordingly, we lack even the fundamental expectations to distinguish a genome where a plastid once existed and was lost from one where a plastid never existed. Here we describe a novel lineage, the eleftherids, and use phylogenomics to show that they are the closest sister group to the Marine Alveolates (MALVs), an abundant, diverse, and widespread group of parasites thought to play a major role in marine food webs. Moreover, MALVs are one of the two lineages thought to have lost plastids. Eleftherids are free-living predators and, although not photosynthetic, retain a metabolically active plastid, which allows for a more detailed model for how the MALV plastid was lost leaving virtually no genomic trace. By challenging the notion that plastid origins are expected to make a pronounced and lasting mark in the host genome, the eleftherids and MALVs also raise important questions about the process and impact of endosymbiotic organelle origins more broadly.
Combination therapy of Obinutuzumab, Venetoclax, Lenalidomide and Zanubrutinib for relapsed chronic lymphocytic leukemia patient with central nervous system involvement
Authors: Yan Yan , Wang Jiehao , Hu Yuhan , Gao Xue , Du Jianwei , Dong Lihua , Lyv Xiaodong , Li Yufu , Song Yongping , Lin Quande 
Published: March 2022

Abstract
We adopted regimen of obinutuzumab, venetoclax, lenalidomide and zanubrutinib combined with intrathecal injection to treat a relapsed high risk CLL patient with CNS involvement, who have progressed underwent two cycles therapy of zanubrutinib combined with BR regimen previously. After two cycles therapy, no malignant cells were identified in the cerebrospinal fluid (CSF) and radiological assessment showed a partial remission, as well, radiological complete remission was achieved after three cycles of therapy. Combined immunochemotherapy may have a higher response rate and could be an alternative option for CNS involvement in CLL patients.
Robust modeling and prediction method of "symmetric mapping" for thermal error of CNC machine tools
Authors: Luo Hui , Miao Enming , Ran Jing , Lv Shixing , Tang Guangyuan 
Published: March 2022

Abstract
In view of the obvious differences in thermal characteristics of different types of machine tools with different mechanical structures, the established thermal error prediction model is beyond the range that the model algorithm can accurately predict, which involves the algorithm mechanism. Based on this, a "symmetric mapping" robust modeling prediction method is proposed for the different conventional thermal characteristics of CNC machine tools exhibited by the research object in this paper, which solves the problem that the special thermal deformation law does not match the robustness of the existing model algorithm. This effectively improves the prediction accuracy and robustness of the model. At the same time, the temperature sensitive points of CNC machine tools change with the seasonal changes, which leads to the change of the accuracy of the prediction model and the decrease of the robustness of the model. A method of using K-means combined with gray correlation (KWG) is proposed to optimize the robustness of the model. The temperature sensitive point with high stability can effectively reduce its variability and improve the accuracy and robustness of the model. In this paper, Vcenter-55 CNC machining center and leaderway-450 CNC machining center are taken as the research objects, combined with the experimental data of the whole year and the thermal error data in the Z-axis direction as an example, the residual Z-axis thermal error prediction model is finally established. The standard deviation is increased from 11um before data processing to about 4.1um, which improves the accuracy by 63%. At the same time, with the weakening of the variability of temperature-sensitive points, the application period of the model is increased to a validity period of 6 months, which greatly improves the robustness of the model.
Femoral artery variation was found during V-A ECMO catheterization: a case report
Authors: du liwen , Zhu Leilei , Shi Yongwei , Liu Peng , Xun Kai 
Published: March 2022

Abstract
Background: High position deep femoral artery (DFA) bifurcation is rare in clinical practice, and patients with this variation are less likely to receive venoarterial extracorporeal membrane ox-ygenation （V-A ECMO） treatment. Therefore, it is of great significance to introduce the process of V-A ECMO in patients with vascular variation. Case pesentation: A 52-year-old male patient had ST elevated myocardial infarction (STEMI) due to coronary heart disease, angiography showed tripartite coronary artery lesions, and coronary artery stenting supported by V-A ECMO was required. Vascular evaluation before catheterization on ECMO found that the patient had high bifurcation of bilateral DFA, located at the inguinal ligament. After discussion, the perfusion cannula was placed in the left superficial femoral artery (SFA) toward the heart, and the distal perfusion catheter (DPC) was placed in the left SFA toward the distal end. Finally after the patient's heart recovered, necrosis of the toe of the left lower limb still occurred. Conclusion: Femoral artery (FA) assessment must be evaluated before V-A ECOM. To patients with high position DFA. Incision catheterization and DPC placement are recommended. After decannulation, arterial repair under direct vision was recommended, Rigorous distal vascular assessment and management is required.
Banana peel tyrosinase immobilized in agar-agar organic matrix “beads” for L-DOPA production in improvised reactors: A Box-Behnken response methodology-based approach
Authors: Ademakinwa Adedeji Nelson , Agunbiade Mayowa 
Published: March 2022

Abstract
Tyrosinase (7.9 U/mg protein) from the banana peel (TBp) served as a low-cost immobilized biocatalyst for the production of 3, 4-di hydroxyphenyl-L-alanine (L-DOPA). L-DOPA, a dopamine precursor, useful in the management of Parkinson’s disease, was produced in improvised batch and packed bed reactors. L-DOPA production by the immobilized TBp was optimized via response surface methodology (RSM). L-DOPA was characterized via spectrophotometry (Arnow’s method) and thin-layer chromatography. L-DOPA productivities obtained at equimolar substrate concentrations and 500 mg of TBp for the packed bed and batch process (BP) were 34.0 ± 2.1 and 15.4 ± 0.9 \(\frac{mg}{L}/h\) respectively. L-DOPA was optimally produced in a batch reactor at the conditions: ascorbic acid (25 mM), tyrosine (5 mM) and enzyme amount (1000 mg). The resulting L-DOPA productivity in the BP after the Box-Behnken RSM model validation was 63 ± 3.0\(\frac{mg}{L}/h\). There was a good fit with the model obtained based on the closeness of the predicted and experimental values, R2 (0.9979), model-F value (575.2) and the insignificant lack of fit. After four successive batch processes, about 35% loss in L-DOPA productivity was observed. In conclusion, banana peel served as a relatively cheap and easily available source of tyrosinase for the production of L-DOPA in both batch and packed bed reactors.
Risk factors of venous thromboembolic events among diffuse large B-cell lymphoma patients receiving first-line treatment
Authors: Jokimäki Anna , Tokola Susanna , Harmanen Minna , Kuitunen Hanne , Sillanpää Anni , Rönkä Aino , Selander Tuomas , Jukkola Arja , Auvinen Päivi , Kuittinen Outi , Kuusisto Milla E.L. 
Published: March 2022

Abstract
BackgroundVenous thromboembolic events (VTEs) remain a major cause of mortality and morbidity among lymphoma patients. Accurate risk-prediction models are lacking, however, especially in the high VTE risk subgroup of diffuse large B-cell lymphoma (DLBCL). The relationship between patient-, disease- and treatment-related factors and the VTE risk is yet incompletely defined in this disease entity. MethodsIn this retrospective study, we analyzed the risk factors for VTEs in DLBCL patients treated with first-line (1L) chemoimmunotherapy in Kuopio and Oulu University Hospitals (2010-2019). Univariate and multivariate analysis (Cox regression) of VTE risk factors was performed. Two novel VTE risk scores were developed and compared by ROC (receiver operating characteristic) analysis.ResultsVTE occurred in 17.2% (n=59) in the whole population, of which seven cases occurred during anticoagulant therapy. Statistically significant risk factors for VTE included age >65 years, ECOG (Eastern Cooperative Oncology Group) >1, thrombophilia, bulky disease, LDH > ULN (lactate dehydrogenase; upper limit of normal) and IPI (International Prognostic Index) 4-5. In a multivariate Cox regression model, previous history of thrombophilia and bulky disease were independent risk factors for VTE (p=0.000 and p=0.032, respectively). VTE at 1L had no significant effect on survival (overall survival, progression-free survival or disease-specific survival) at 2 or 5 years of follow-up. Two different VTE risk scores were tested in DLBCL patients treated in 1L. ROC analysis was used to assess the ability of the score to classify VTE risk. A risk score 2 (age >65/LDH > ULN/ ECOG>1/thrombophilia = 1 p., bulky disease 2 p.) received a higher ROC value (0.680) than risk score 1. In the “high risk” group (5 p., according to risk score 2), VTE risk was increased, at 35.3%. ConclusionsThrombophilia and bulky disease were independent risk factors for VTE in 1L-treated DLBCL patients. A novel VTE risk score was developed, to be further qualified.
Bacteria hijack a neuro-immune axis in the meninges to facilitate brain invasion
Authors: Chiu Isaac , Pinho-Ribeiro Felipe , Deng Liwen , Neel Dylan , Erdogan Ozge , Walker Alec , Carneiro-Nascimento Simone , He Kathleen , Wu Glendon , Stevens Beth , Doran Kelly , Levy Dan 
Published: March 2022

Abstract
The meninges are densely innervated by nociceptors that mediate pain and headache. Bacterial meningitis is a life-threatening infection of the meninges and central nervous system (CNS) that affects over one million people a year. However, whether pain and neuro-immune interactions impact CNS bacterial invasion is unclear. Here we find that nociceptor signaling to immune cells via the neuropeptide calcitonin gene-related peptide (CGRP) exacerbates bacterial meningitis. Nociceptor ablation reduced meningeal and brain invasion by two bacterial pathogens: Streptococcus pneumoniae and Streptococcus agalactiae. Bacteria directly activated nociceptors to release CGRP, which acts through its receptor RAMP1 on meningeal macrophages to inhibit chemokine expression and immune defenses. Macrophage-specific RAMP1 deficiency or blockade of RAMP1 signaling enhanced immune responses and bacterial clearance in the meninges and brain. Therefore, targeting a neuro-immune axis in the meninges can enhance host defenses and may be a potential treatment for bacterial meningitis.
Flood forecasting with a dam watershed event-based hydrological model in a semi-arid context: case study in Morocco
Authors: Laassilia Oussama , Saghiry Soumia , Ouazar Driss , Bouziane Ahmed , Hasnaoui Moulay Driss 
Published: March 2022

Abstract
Event-based rainfall-runoff mechanism modeling is a very useful process for flood forecasting, in particular at the level of the dam watersheds in semi-arid regions. In this regard, this paper presents a flood modeling application in the Sidi Mohammed Ben Abdellah (SMBA) dam watershed in Morocco, using the HEC-HMS model. The Soil Conservation Service (SCS) Curve Number (CN), the SCS Unit hydrograph, and the Recession were chosen as loss, transform, and baseflow methods respectively. The various frequency floods entering the SMBA dam were simulated using the elaborated model. The results show that it is possible to estimate the volumes of water generated during floods satisfactorily with errors of 6–11%, while the error in peak flow is around 20%. The median NSE, during validation, is 0.58 and the R2 is about 0.67. Sensitivity analysis shows that the runoff volume, the peak flow, and the NSE were found to be more sensitive to lag time and CN parameters. The developed event-based model will make it possible to carry out several simulations allowing the assessment of the North to South Water Transfer Project operation, in particular, the SMBA dam reservoir management during the flood periods.
Low-cost methodology for the characterization of floc size in low turbidity and low alkalinity waters using image analysis
Authors: Pablo González-Galvis Juan , Maria Jaramillo Londoño Angela , Felipe Martinez Urrego Andres 
Published: March 2022

Abstract
Floc-particle size in drinking water treatment is an important parameter for designing and operating clarification and filtration units. However, advanced techniques for floc characterization are not affordable in drinking water utilities in developing countries because they are expensive and require qualified and training personnel. Therefore, the main objective of this research was to develop and test a nonintrusive low-cost methodology for floc size characterization using a regular HUAWEI P30 cell phone equipped with 40 megapixels camera, which is significantly less expensive than a sophisticated high-speed high-resolution camera used for floc characterization based on image analysis. This technique does not require sample processing, which keeps unaltered floc/particles aggregates for analysis. The methodology was calibrated using four different source waters with low turbidity (≤5.95±0.48 NTU) and relatively low alkalinity (≤52.4± 4.12 as CaCO3), which are typical from the Andina Region in Colombia. This methodology demonstrated to be useful for obtaining the mean floc size (based on average Feret diameter), floc area, floc perimeter and circularity of aggregates formed by the addition of alum [Al2(SO4)3*18H2O] after 15 minutes of flocculation in a regular jar tester. The methodology also proved to be valuable for measuring floc sizes in a range between 33 μm and 1,200 μm.
Circumstantial Insights into the Potential of Traditional Chinese Medicinal Plants as
a Therapeutic Approach in Rheumatoid Arthritis
Authors: Sharma Twinkle , Sharma Parth , Chandel Parteek , Singh Sukhbir , Sharma Neelam , Naved Tanveer , Bhatia Saurabh , Al-Harrasi Ahmed , Bungau Simona , Behl Tapan 
Published: March 2022

Abstract:
The advanced era has invited a plethora of chronic and autoimmune infirmities unmistakably dominated
by rheumatoid arthritis, occurring because of equivocal causes, including ecological factors, genetic variations,
etc. Unfortunately, it is winning pretty much in every stratum of the society in the undefined age group
of the population. Engineered drugs are accessible for the treatment; however, they do experience adverse effects
as the treatment requires a prolonged duration worsened by noncompliance. To overwhelm it, certain
pharmacological and molecular pathways are explored in the wake of Chinese herbs that prompted the prevention
of this deteriorating autoimmune disease. The alcoholic extracts and decoctions are procured from Chinese
herbs, such as Paeonia lactiflora, Glycyrrhiza uralensis, Tripterygium wilfordii, etc., which have been proved to
manifest constructive pharmacological actions. The activities that were exhibited by extracts are significantly innocuous,
non-toxic, and potent to fix the affliction in contrast with the chemosynthetic drugs. Therefore, these Chinese
herbs bring forth potent anti-inflammatory, immune-suppressing, anti-nociceptive, anti-neovascularizing, free
radical scavenging activities, and various other benefits to withstand several pathological events that usually
endure infirmity. It can be abridged that Chinese herbs possess assorted and selective therapeutic properties
with profound safety and viability to treat this rheumatic disorder. Thus, this review aims to shed light on naturally
originated treatment that is pertinent to providing invulnerable therapy exonerating from adverse effects
by restraining joint deformities, production of auto-antibodies, and inflammation.
Liposome Nanoparticles as a Novel Drug Delivery System for Therapeutic
and Diagnostic Applications
Authors: Li Guiling , Meng Yanan , Niu Xia 
Published: March 2022

Abstract:
Liposome nanoparticles (LNPs) as a promising platform in drug delivery, combine the advantages of both liposomes and inorganic/organic nanoparticles into a single system. Both liposomes and nanoparticles have demonstrated the optimized drug efficacy in clinic. LNPs are proven to be a multifunctional system and thus utilized in various research applications (e.g., spatiotemporal control of drug release, hyperthermia, photothermal therapy, and biological imaging). The type of nanoparticles involved in LNPs largely affects the features of LNPs. Besides, diverse nanoparticlesenable liposomes to overcome the defects such as poor stability, few functions and rapid elimination from blood circulation. In this review, multiple nanoparticles materials and further prepared LNPs as well as their structure, physicochemical properties, manipulation and the latest applications in biomedical field are introduced. Future directions in advancing of LNPs are also discussed in the end.

Abstract:
Liposome nanoparticles (LNPs), as a promising platform in drug delivery, combine the advantages
of both liposomes and inorganic/organic nanoparticles into a single system. Both liposomes
and nanoparticles have demonstrated optimized drug efficacy in the clinic. LNPs are proven to be multifunctional
systems and thus utilized in various research applications (e.g., spatiotemporal control of
drug release, hyperthermia, photothermal therapy, and biological imaging). The type of nanoparticles
involved in LNPs largely affects the features of LNPs. Besides, diverse nanoparticles enable liposomes
to overcome the defects such as poor stability, few functions, and rapid elimination from blood circulation.
In this review, multiple nanoparticles materials and further prepared LNPs as well as their structure,
physicochemical properties, manipulation and the latest applications in biomedical field are introduced.
Future directions in advancing of LNPs are also discussed in the end.
Diagnostic Dilemmas and Current Treatment Approaches in Latent Onset
Autoimmune Diabetes in Adults: A Concise Review
Authors: Vellapandian Chitra , Chandran Lakshmi , Singh S. Ankul 
Published: March 2022

Abstract:
Latent Onset Autoimmune Diabetes in Adults (LADA) is an autoimmune disorder
between T1DM and T2DM and is often misdiagnosed as T2DM due to its late-onset. The disease
is characterized by β-cell failure and slow progression to insulin dependence. Early diagnosis is
significant in limiting disease progression. C-peptide levels and autoantibodies against β-cells are
the most critical diagnostic biomarkers in LADA. The review aims to provide an overview of the
biomarkers used to diagnose LADA, and the following treatment approaches. We have summarized
LADA's pathophysiology and the autoantibodies involved in the condition, diagnostic approaches,
and challenges. There are clear shortcomings concerning the feasibility of autoantibody
testing. Finally, we have explored the treatment strategies involved in the management of LADA.
In conclusion, the usual management includes treatment with metformin and the addition of low
doses of insulin. Newer oral hypoglycaemic agents, such as GLP-1RA and DPP-4 inhibitors, have
been brought into use. Since the disease is not entirely understood at the research level and in clinical
practice, we hope to encourage further research in this field to assess its prevalence. Large randomized
controlled trials are required to compare the efficacy of different available treatment options.