Identification and validation of tricarboxylic acid cycle-related diagnostic biomarkers for diabetic nephropathy via weighted gene co-expression network analysis and single-cell transcriptome analysis.

Journal: Acta diabetologica
Published Date: Jul 31, 2025

Abstract

BACKGROUND: Diabetic nephropathy (DN) is a prevalent and serious complication of diabetes, characterized by high incidence and significant morbidity. Despite growing evidence that the tricarboxylic acid (TCA) cycle plays a crucial role in DN progression, the diagnostic potential of TCA-related genes has yet to be fully explored.

Authors

  • Xuelin He
    Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang Province, China. hexuelin2018@zju.edu.cn.
  • Yichen Wu
    Department of Electrical Engineering, University of California Los Angeles (UCLA), USA. ozcan@ucla.edu.
  • Guanghui Ying
    Department of Nephrology, Beilun People's Hospital, Ningbo, 315826, Zhejiang Province, China.
  • Min Xia
    BGI-Shenzhen, Shenzhen 518083, China.
  • Qien He
    Department of Nephrology, Beilun People's Hospital, Ningbo, 315826, Zhejiang Province, China.
  • Zhaogui Chen
    Department of Nephrology, Beilun People's Hospital, Ningbo, 315826, Zhejiang Province, China.
  • Qiao Zhang
    Beijing Hospital, Beijing, 100730, China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Xia Liu
    Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Science, Haikou 571010, People's Republic of China; Key Laboratory of Monitoring and Control of Tropical Agricultural and Forest Invasive Alien Pests, Ministry of Agriculture, Haikou 571010, People's Republic of China.
  • Yongtao Li
    College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610050, PR China.

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