Identification of hub genes involved in the pathogenesis of diabetic nephropathy: A multi‐omics study integrating machine learning, mendelian randomization and mediation analysis

Abstract excerpt

BACKGROUND: Diabetic nephropathy (DN), affecting 30%-40% of diabetic patients, is the leading cause of end-stage renal disease worldwide. This study aims to identify diagnostic biomarkers and explore potential gene-metabolite interactions in DN pathogenesis through integrated bioinformatics approaches and experimental validation. METHODS: We analysed Gene Expression Omnibus datasets through differential...

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