Int J Med Sci
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Background: Gastric cancer (GC) remains a significant global health challenge. This study aimed to comprehensively analyze GC epidemiology and risk factors to inform prevention and intervention strategies. Methods: We analyzed the Global Burden of Disease Study 2021 data, conducted 16 different machine learning (ML) models of NHANES data, performed Mendelian randomization (MR) studies on disease phenotypes, dietary preferences, microbiome, blood-based markers, and integrated differential gene expression and expression quantitative trait loci (eQTL) data from multiple cohorts to identify factors associated with GC risk. ⋯ Integrated genomic analysis identified 10 genes significantly associated with GC risk, with strong evidence for colocalization in genes such as CCR6 and PILRB. Conclusions: This systematic analysis reveals complex global trends in GC burden and identifies novel clinical, disease phenotypes, dietary preferences, microbial, blood-based, and genetic risk factors. These findings provide potential targets for improved risk stratification, prevention, and intervention strategies to reduce the global burden of GC.
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Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. Based on GEO datasets, differentially expressed genes in the endometriosis cohort and the SLE cohort were screened using Limma and weighted gene co-expression network analysis (WGCNA), and prediction signatures were constructed using LASSO logistic regression analysis, respectively. Four co-diagnostic genes (PMP22, QSOX1, REV3L, SP110) were identified for endometriosis and SLE. ⋯ Multifactor regulatory network of four co-diagnostic genes was constructed including 96 TFs, 42 miRNA, 43 lncRNA, and 189 drugs, and Tributyrin was found to act on four co-diagnostic genes simultaneously. We identified and validated four co-diagnostic genes and revealed the potential molecular mechanisms of endometriosis and SLE, which is helpful for early diagnosis and targeted therapy. Our study provides a novel perspective for individualized treatment of patients with endometriosis and SLE.
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Background: Chemotherapy resistance is a great challenge in the treatment of gastric cancer (GC), so it is urgent to explore the prognostic markers of chemoresistance. PUF60 (Poly (U)-binding splicing factor 60) is a nucleic acid-binding protein that has been shown to regulate transcription and link to tumorigenesis in various cancers. However, its biological role and function in chemotherapy resistance of GC is unclear. ⋯ Mechanistically, PUF60 enhances chemotherapy resistance in gastric cancer (GC) cells by actively excluding chemotherapy drugs via the recombinant ATP Binding Cassette Transporter A1 (ABCA1) and ATP Binding Cassette Subfamily C Member 1 (ABCC1). This process further affects the cell cycle, reduces cell apoptosis, and ultimately promotes resistance to chemotherapy in GC. Conclusion: PUF60 promotes chemoresistance in GC, resulting in poor prognosis of GC patients treated with 5-FU, and providing a new idea for overcoming the chemoresistance in GC.
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While the gluten-free diet (GFD) is primarily used to treat celiac disease (CD), recent research suggests it may also offer benefits for autoimmune-related diseases (ARDs), though findings remain inconsistent. This study aimed to investigate the potential protective effect of a GFD against ARDs by Mendelian Randomization (MR) analysis. ⋯ These findings suggest that GFD may help reduce RA risk by modulating specific immune cell populations. However, further research is necessary to clarify the exact mechanisms underlying these associations.
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Purpose: The aim of this study is to utilize two-sample Mendelian randomization (MR) to investigate the potential causal relationship among psoriasis, iridocyclitis, and non-alcoholic fatty liver disease (NAFLD), and to explore any potential mediation effects. Methods: Pooled data were derived from the public genome-wide association study (GWAS) in NAFLD (finn-b-NAFLD), iridocyclitis (finn-b-H7_IRIDOCYCLITIS) and psoriasis (finn-b-L12_PSORI_VULG). Univariable MR (UVMR) analysis was implemented to explore the causal relationship among psoriasis, iridocyclitis, and NAFLD, and inverse variance weighting (IVW) was used as the primary analytical method. ⋯ The LOO analysis demonstrated that the instrumental variables were appropriately chosen, suggesting the reliability of the MR results. Ultimately, MVMR and mediation analysis revealed iridocyclitis affected the development of NAFLD, 20.81% of which was caused by the pathway of iridocyclitis induced psoriasis leading to NAFLD. Conclusion: This study highlighted that iridocyclitis was significantly associated with an increased risk of NAFLD and that psoriasis was involved in the mechanism by which iridocyclitis triggered NAFLD, which might offer potential preventive strategies for NAFLD.