ArticleFrontiers in immunology2025
Molecular mechanisms of ferroptosis in ulcerative colitis: insights from machine learning, WGCNA, and immune cell infiltration analysis.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Mechanistic Networks, Cellular Specificity, and Therapeutic Opportunities of Ferroptosis in Ulcerative Colitis.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Protective Effects of Sitagliptin on Dextran Sulfate Sodium-Induced Colitis via Modulation of Inflammatory and Oxidative Stress.Medicina (Kaunas, Lithuania) · 2026Article
- Identification of TIMP1 as a Key Regulator of Ferroptosis in Ulcerative Colitis Through Bioinformatics and Functional Experiments.Gastroenterology research and practice · 2026Article
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Authors and funding
8 authors.
Funding
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Abstract
Background: This study aimed to investigate ferroptosis-related biomarkers and their potential molecular basis in UC. Methods: UC datasets (GSE87466 and GSE47908) from the Gene Expression Omnibus database were merged as the training set, and batch effects were removed. Ferroptosis-related differentially expressed genes (DE-FRGs) were selected to construct a diagnostic risk model in UC. Machine learning (lasso regression and SVM-RFE), Weighted Gene Co-expression Network Analysis (WGCNA) and PPI were then used to obtain candidate hub genes. After identifying common DE-FRGs, functional enrichment analysis, GSEA and GSVA functional enrichment analysis and immune cell infiltration were performed to explore the pathogenesis of UC. Besides, the correlation of hub gene expression and ferroptosis signature markers (GPX4 and ACSL4) was validated in external validation (GSE92415) and Results: MFN2 and CBS were identified as hub genes after further validation. Functional estimation, gene set enrichment analysis, and immune infiltration signature identification showed notable associations of the hub genes with macrophages, mast cells resting, and follicular helper T cell levels. Conclusions: MFN2 and CBS may represent potential therapeutic targets and could serve as biomarkers for immune regulation in UC, warranting further investigation.
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