Notes

Characterization with the novel HLA-A*29:10:Thirty eight allele by simply sequencing-based keying.
Chronic diarrhea and constipation are common in adolescents and are associated with depression and anxiety. However, the association was not reported in adolescents adjusted for other psychological factors (resilience, personality traits, perceived stress, and suicidal ideation). Therefore, we investigated the significant psychological factors predicting chronic diarrhea and constipation in adjusted individuals for co-variables.A total of 819 Korean high school students who completed bowel health and psychological questionnaires were enrolled in this study. Depression and anxiety were assessed using validated questionnaires. We used multivariate analyses, controlling for demographic, dietary, lifestyle, and psychological variables to predict chronic diarrhea and constipation.Chronic diarrhea and constipation were more common in individuals with depression (22.3% and 18.6%, respectively) than in individuals with no depression (7.0% and 10.9%, respectively). In addition, they were more prevalent in individualadjusted risk ratio [aRR] = 0.98, adjusted 95% confidence interval [CI] = 0.97-0.99), moderate (aRR = 6.77, adjusted 95% CI = 3.55-12.91), and severe depression (aRR = 7.42, adjusted 95% CI = 3.61-15.27) were associated with chronic diarrhea. Only mild depression was associated with chronic constipation (aRR = 2.14, adjusted 95% CI = 1.36-3.38). BMS-986235 chemical structure However, anxiety was not significantly associated with chronic diarrhea or constipation.Among the psychological factors predicting disordered bowel habits, resilience and moderate and severe depression were significant predictors of chronic diarrhea, but not anxiety. Furthermore, only mild depression was an independent predictor of chronic constipation.
Esophageal squamous cell carcinoma (ESCC) is a common human malignancy worldwide. The tumorigenesis mechanism in ESCC is unclear.

To explore potential therapeutic targets for ESCC, we analyzed 3 microarray datasets (GSE20347, GSE38129, and GSE67269) derived from the gene expression omnibus (GEO) database. Then, the GEO2R tool was used to screen out differently expressed genes (DEGs) between ESCC and normal tissue. Gene ontology function and kyoto encyclopedia of genes and genomes pathway enrichment analysis were performed using the database for annotation, visualization and integrated discovery to identify the pathways and functional annotation of DEGs. Protein-protein interaction of these DEGs was analyzed based on the search tool for the retrieval of interacting genes database and visualized by Cytoscape software. In addition, we used encyclopedia of RNA interactomes (ENCORI), gene expression profiling interactive analysis (GEPIA), and the human protein atlas to confirm the expression of hub genes in ESrmed in our study, providing a thorough, scientific and comprehensive research goals for the pathogenesis of ESCC.
Previous studies have demonstrated that Helicobacter pylori is a critical factor in the development of gastrointestinal diseases. However, only limited studies have reported results on the relationship between H pylori infection and patients with type 2 diabetes mellitus (T2DM). Moreover, the conclusions from these past studies are variable. Because there are contradictory results on this issue, the present study aims to examine the clinical therapeutic impacts of H pylori eradication to treat patients experiencing T2DM.

The present protocol is drafted according to the provisions of the Preferred Reporting Items for Systematic Review and Meta-analyses Protocols guidelines. PubMed, Cochrane Central Register of Controlled Trials databases, EMBASE, Web of Science, China National Knowledge Infrastructure, and Chinese BioMedical Literature Database will be searched up to May 2021 to obtain randomized controlled trials evaluating the clinical therapeutic effects of H pylori eradication to treat patients experiencing T2DM. We will use 2 investigators independently to carry out study selection, data extraction, and employ the Cochrane Collaboration criteria to evaluate their risks of bias. Furthermore, we will apply Stata 16.0 software to perform data analysis.

We intend to evaluate the clinical therapeutic impacts of H pylori eradication to treat patients suffering from T2DM.

Our findings may support existing evidence on the clinical therapeutic impacts of H pylori eradication to treat patients with T2DM.

Since all data will be extracted from the published literature, the study does not require an ethical approval.

May 31, 2021.osf.io/qtexu. (https//osf.io/qtexu/).
May 31, 2021.osf.io/qtexu. (https//osf.io/qtexu/).
Currently, there are a number of sodium glucose co-transport-2 (SGLT2) inhibitors that are under development or in clinical trials. Prior meta-analyses had established the safety and efficacy of SGLT2 inhibitors in type 1 diabetes mellitus (T1DM), but with low level of evidences and inconsistent conclusions. However, recently many new randomized clinical trials (RCTs) have been published, we hence try to design a study protocol to assess the effect of SGLT2 inhibitors on cardiovascular events via a comprehensive meta-analysis of data from much more RCTs, including sensitivity and subgroup analyses.

We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines to conduct this meta-analysis. Two investigators will perform a systematic search of scientific literature in the databases (from conception through June 12, 2021), including PubMed, Embase, and Cochrane Central Register of Controlled Trials. This meta-analysis will be conducted using RevMan statistical software. The risk of bias for each included study will be assessed using the Cochrane Risk of Bias Assessment Tool.

Our protocol is conceived to test the hypothesis that SGLT2 inhibitors could lead to better outcomes in patients presenting with T1DM.

10.17605/OSF.IO/ZD8WX.
10.17605/OSF.IO/ZD8WX.
Nonpharmacological intervention can improve the sleep quality of hemodialysis patients. However, there are many types of nonpharmacological interventions, which makes it difficult to determine the best one. Therefore, this study carried out network meta-analysis to evaluate the effects of nonpharmacological intervention on sleep quality of hemodialysis patients, so as to provide evidence for the selection of the optimal nonpharmacological intervention for the improvement of sleep quality of hemodialysis patients clinically.

Randomized controlled trials on the effects of nonpharmaceutical interventions on sleep quality in hemodialysis patients were conducted by searching English databases (PubMed, Cochrane Library, EMBASE, and Web of Science) and Chinese databases (Chinese Scientific Journal Database, China National Knowledge Infrastructure Database, Wanfang, and China Biomedical Literature Database) on computer. The retrieval time was from the establishment of the database to May 2021. Literature screening, data extraction, and evaluation of the risk of bias in the included studies were conducted independently by two researchers.
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