Identification of lipid metabolism-related gene markers and construction of a diagnostic model for multiple sclerosis: An integrated analysis by bioinformatics and machine learning.

Journal: Analytical biochemistry
PMID: 39855613

Abstract

BACKGROUND: Multiple sclerosis (MS) is an autoimmune inflammatory disorder that causes neurological disability. Dysregulated lipid metabolism contributes to the pathogenesis of MS. This study aimed to identify lipid metabolism-related gene markers and construct a diagnostic model for MS.

Authors

  • Fangjie Yang
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Xinmin Li
    Department of Clinical Laboratory, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Zhenfei Duan
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Chunlin Ren
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Pengxue Guo
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Yuting Kong
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Mengyao Bi
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
  • Yasu Zhang
    Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China. Electronic address: zhangyasu16@163.com.

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