Targeted metabolomics combined with machine learning to identify and validate new biomarkers for early SLE diagnosis and disease activity.

Journal: Clinical immunology (Orlando, Fla.)
Published Date: May 6, 2024

Abstract

BACKGROUND: The early diagnosis of systemic lupus erythematosus (SLE) and the assessment of disease activity progression remain a great challenge. Targeted metabolomics has great potential to identify new biomarkers of SLE.

Authors

  • Jiabin Liang
    Central Laboratory, The Affiliated Guangzhou Panyu Central Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Zeping Han
    Central Laboratory, The Affiliated Guangzhou Panyu Central Hospital of Guangzhou Medical University, Guangzhou, China; Rehabilitation Medicine Institute of Panyu District, Guangzhou, China.
  • Jie Feng
  • Fangmei Xie
    Central Laboratory, The Affiliated Guangzhou Panyu Central Hospital of Guangzhou Medical University, Guangzhou, China.
  • Wenfeng Luo
    Central Laboratory, The Affiliated Guangzhou Panyu Central Hospital of Guangzhou Medical University, Guangzhou, China.
  • Hanwei Chen
    Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Jinhua He
    Central Laboratory, The Affiliated Guangzhou Panyu Central Hospital of Guangzhou Medical University, Guangzhou, China; Rehabilitation Medicine Institute of Panyu District, Guangzhou, China. Electronic address: 332518579@qq.com.

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