Identification and validation of endoplasmic reticulum stress-related diagnostic biomarkers for type 1 diabetic cardiomyopathy based on bioinformatics and machine learning.

Journal: Frontiers in endocrinology
PMID: 40171194

Abstract

BACKGROUND: Diabetic cardiomyopathy (DC) is a serious complication in patients with type 1 diabetes mellitus and has become a growing public health problem worldwide. There is evidence that endoplasmic reticulum stress (ERS) is involved in the pathogenesis of DC, and related diagnostic markers have not been well-studied. Therefore, this study aimed to screen ERS-related genes (ERGs) with potential diagnostic value in DC.

Authors

  • Qiao Tang
    Dermatology Department, Medical Center Hospital of Qionglai City, No. 172 Xinglin Road, Qionglai City, Chengdu, 611500, Sichuan, China.
  • Yanwei Ji
    College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China.
  • Zhongyuan Xia
    Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Yuxi Zhang
    State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China.
  • Chong Dong
    Organ Transplantation Center, Tianjin First Central Hospital, Tianjin, China.
  • Qian Sun
    Key Laboratory for Organic Electronics and Information Displays (KLOEID) & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
  • Shaoqing Lei
    Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.

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