ArticleNutrition & diabetes2024
Pathogenic gene connections in type 2 diabetes and non-alcoholic fatty liver disease: a bioinformatics analysis and mouse model investigations experiments.
Article in Nutrition & diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Hepatic PDIA5 improves hyperglycaemia and insulin resistance through stabilisation of ATF6.Diabetologia · 2026Article
- Article
- The modified cardiometabolic index versus triglyceride-glucose index in predicting type 2 diabetes incidence: a 12-year cohort study.Lipids in health and disease · 2025Article
- CYBB identified as a key immune hub gene linking lung cancer and atrial fibrillation.Journal of cardiothoracic surgery · 2025Article
- Phenylacetylglutamine produced from injury lung alveolar epithelial cells promotes the function of BMSCs by regulating NONRATT006276.2/Mapt pathway.Respiratory research · 2025Article
- Identification of prognostic and therapeutic biomarkers associated with macrophage and lipid metabolism in pancreatic cancer.Scientific reports · 2025Article
- Single-cell hdWGCNA reveals a novel diagnostic model and signature genes of macrophages associated with chronic obstructive pulmonary disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Article
- Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches.BMC pharmacology & toxicology · 2025Article
- Metabolic dysfunction associated fatty liver disease and type 2 diabetes: pathophysiological links, epidemiological trends, and clinical implications.Frontiers in endocrinology · 2025Review
- Role of the Annexin A protein family in liver diseases: insights and therapeutic opportunities.Frontiers in pharmacology · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
backgroundType 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD) are prevalent metabolic disorders with overlapping pathophysiological mechanisms. A comprehensive understanding of the shared molecular pathways involved in these conditions can advance the development of effective therapeutic interventions.
methodsWe used two datasets sourced from the Gene Expression Omnibus (GEO) database to identify common differentially expressed genes (DEGs) between T2D and NAFLD. Subsequently, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to identify the enriched biological processes and signaling pathways. In addition, we performed a protein-protein interaction (PPI) network analysis to identify hub genes with pivotal roles. To validate our findings, we established a type 2 diabetic mouse model with NAFLD.
resultsOur analysis identified 53 DEGs shared between T2D and NAFLD. Enrichment analysis revealed their involvement in signal transduction, transcriptional regulation, and cell proliferation as well as in the ferroptosis signaling pathways. PPI network analysis identified ten hub genes, namely CD44, CASP3, FYN, KLF4, HNRNPM, HNRNPU, FUBP1, RUNX1, NOTCH3, and ANXA2. We validated the differential expression of FYN, HNRNPU, and FUBP1 in liver tissues of a type 2 diabetic mouse model with NAFLD.
conclusionsOur study offers valuable insights into the shared molecular mechanisms underlying T2D and NAFLD. The identified hub genes and pathways present promising prospects as therapeutic targets to address these prevalent metabolic disorders.
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