Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

Journal: Renal failure
Published Date:

Abstract

OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic inflammation driving its progression. This study aimed to identify immune-related diagnostic biomarkers for DKD and explore their association with immune cell infiltration.

Authors

  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Xinyuan Zhou
    Tianjin Key Laboratory of Life and Health Detection, Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin 300384, China. life@tjut.edu.cn.
  • Yuxin Jiang
    Department of Ultrasound, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.
  • Ling Jiang
    College of Information Science and Technology, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China.
  • Li Gao
    College of Veterinary Medicine, Northeast Agricultural University, Harbin 150000, China.
  • Xueqi Liu
    Department of Nephropathy, First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China.
  • Xiaoxia Wang
    School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei Province, China.
  • Chenyu Sun
    Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China.
  • Yonggui Wu
    Department of Nephropathy, First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China.