Sphingolipid metabolism-related genes for the diagnosis of metabolic syndrome by integrated bioinformatics analysis and Mendelian randomization identification.

Journal: Diabetology & metabolic syndrome
Published Date: Jun 19, 2025

Abstract

BACKGROUND: The rising global incidence of metabolic syndrome (MetS) highlights the need for more effective diagnostic and therapeutic tools. Sphingolipid metabolites are crucial in MetS pathogenesis, and identifying related biomarkers could improve treatment strategies.

Authors

  • Weidong Li
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Qixing Zhong
    Department of Gastrointestinal Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, 528400, China.
  • Naisheng Deng
    Department of Gastrointestinal Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, 528400, China.
  • Xinhao Zhou
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Haitao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Jun Ouyang
    Department of Ophthalmology, Jiujiang No 1 Peoples Hospital, Jiujiang 332000, China. Electronic address: jun_ouyang2022@126.com.
  • Zhifen Guan
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Bohao Cheng
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Lijun Xiang
    Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yueming Huang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Yao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.

Keywords

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