期刊
CLINICAL IMMUNOLOGY
卷 241, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.clim.2022.109057
关键词
SLE; Metabolomics; Lipidomics; Biomarkers
类别
资金
- National Natural Science Foundation of China [82030097]
- Key project for international and regional cooperation in science and technology innovation of Hunan province [2019WK2081]
- CAMS Innovation Fund for Medical Sciences (CIFMS) [2019-I2M-5-033]
- Project for leading talents in science and technology in Hunan province [2019RS3003]
This study identified biomarkers associated with different clinical phenotypes in SLE patients, which could facilitate a more precise diagnosis and assessment of disease progression in SLE.
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that affects various organs or systems. We performed metabolomic and lipidomic profiles analyses of 133 SLE patients and 30 HCs. Differential metabolites and lipids were integrated, and then the biomarker panel was identified using binary logistic regression. We found that a combination of four metabolites or lipids could distinguish SLE from HC with an AUC of 0.998. Three lipids were combined to differentiate inactive SLE and active SLE. The AUC was 0.767. In addition, we also identified the biomarkers for different organ phenotypes of SLE. The AUCs for diagnosing SLE patients with only kidney involvement, skin involvement, blood system involvement, and multisystem involvement were 0.766, 0.718, 0.951, and 0.909, respectively. Our study succeeded in identifying biomarkers associated with different clinical phenotypes in SLE patients, which could facilitate a more precise diagnosis and assessment of disease progression in SLE.
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