ArticleFrontiers in immunology2025
Development of a diagnostic model for MASLD and identification of daidzein as the potential drug using bioinformatics analysis and experiments.
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 2 papers.
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2 citing papers in PubMed.
- Identification and Experimental Validation of PANoptosis Key Genes for Constructing a PANoptosis Risk Diagnostic Model in Intervertebral Disc Degeneration.The journal of gene medicine · 2026Article
- Identification of Genetic Diagnostic Markers for Systemic Lupus Erythematosus.Genetics research · 2026Article
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Authors and funding
7 authors.
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Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is now the predominant chronic liver disease globally, yet effective therapeutic strategies remain elusive. Methods: MASLD-related datasets were download from GEO. Subsequently, genes associated with MASLD were found through the intersection of differentially expressed genes and WGCNA. Then, key candidate genes were further screened using 113 machine learning algorithms and their diagnostic value was evaluated using ROC curve analysis across multiple datasets. Genes are then screened by Shapley Additive exPlanations (SHAP) analysis. Molecular docking (MD) and molecular dynamics simulations (MDS) were employed to validate the interaction between Daidzein and Enolase 3 ( Results: 62 MASLD-DEGs were finally identified. The optimal predictive model for MASLD was the 17-gene signature ( Conclusion: We developed a predictive model for MASLD and identified
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