ArticleJournal of inflammation research2025
Multi-Omics Analysis and Validation of Cell Senescence-Related Genes Associated with Non-Alcoholic Fatty Liver Disease.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oxidative Stress-Related Genome-Wide Mendelian Randomization Identifies Causal Genes for Coronary Artery Disease.Cardiovascular therapeutics · 2026Pooled it
- Integrated bioinformatics analysis and experimental validation ofFrontiers in molecular biosciences · 2026Article
- Integration of genetic, proteomic, and transcriptomic data identifies therapeutic targets and prognostic biomarkers in bladder cancer.Translational andrology and urology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To assess causal links between senescence-related genes and non-alcoholic fatty liver disease (NAFLD) using summary-data Mendelian randomization (SMR) and colocalization analyses. Methods: Our study examined the relationship between senescence and NAFLD by integrating DNA methylation, gene expression, and protein quantitative trait loci (mQTL, eQTL, and pQTL) data. Summary statistics for NAFLD were sourced from a previous study (discovery) and the FinnGen database (replication), with additional cohorts for nonalcoholic steatohepatitis and liver fibrosis. Genetic variants near senescence-related genes were used as instrumental variables to assess causal relationships. Colocalization analysis was performed to confirm shared causal variants and liver-specific eQTL data were used for validation. Furthermore, we validated findings using cell and mouse models of NAFLD. Cell models were treated with oleic acid, and NAFLD mice were induced using a high-fat diet. Results: We identified 40 mQTLs, 9 eQTLs, and 3 pQTLs significantly linked to NAFLD in the discovery cohort. Multi-omics data highlighted three genes- Conclusion: Our findings suggest that
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