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

Journal: Diabetes, obesity & metabolism
Published Date: Jun 24, 2025

Abstract

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.

Authors

  • Kang Li
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
  • Huidi Tang
    Department of Pharmacology, School of Basic Medical Sciences, Shandong University, Jinan 250012, China.
  • Yanqing Wang
    Clinical Research Management Center, Livzon Pharmaceutical Group Inc., Zhuhai, Guangdong, China.
  • Xiaojie Wang
    Beijing University of Posts and Telecommunications, China.

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