Absolute quantification and characterization of oxylipins in lupus nephritis and systemic lupus erythematosus

氧化脂质 狼疮性肾炎 系统性红斑狼疮 花生四烯酸 生物标志物 亚油酸 免疫学 多不饱和脂肪酸 炎症 化学 医学 疾病 内科学 脂肪酸 生物化学
作者
Jingquan He,Chiyu Ma,Donge Tang,Sheng Zhong,Xiying Yuan,Fengping Zheng,Zhipeng Zeng,Yumei Chen,Dongzhou Liu,Xiaoping Hong,Weier Dai,Yin Li,Yong Dai
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:13
标识
DOI:10.3389/fimmu.2022.964901
摘要

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with multi-organ inflammation and defect, which is linked to many molecule mediators. Oxylipins as a class of lipid mediator have not been broadly investigated in SLE. Here, we applied targeted mass spectrometry analysis to screen the alteration of oxylipins in serum of 98 SLE patients and 106 healthy controls. The correlation of oxylipins to lupus nephritis (LN) and SLE disease activity, and the biomarkers for SLE classification, were analyzed. Among 128 oxylipins analyzed, 92 were absolutely quantified and 26 were significantly changed. They were mainly generated from the metabolism of several polyunsaturated fatty acids, including arachidonic acid (AA), linoleic acid (LA), docosahexanoic acid (DHA), eicosapentanoic acid (EPA) and dihomo-γ-linolenic acid (DGLA). Several oxylipins, especially those produced from AA, showed different abundance between patients with and without lupus nephritis (LN). The DGLA metabolic activity and DGLA generated PGE1, were significantly associated with SLE disease activity. Random forest-based machine learning identified a 5-oxylipin combination as potential biomarker for SLE classification with high accuracy. Seven individual oxylipin biomarkers were also identified with good performance in distinguishing SLE patients from healthy controls (individual AUC > 0.7). Interestingly, the biomarkers for differentiating SLE patients from healthy controls are distinct from the oxylipins differentially expressed in LN patients vs. non-LN patients. This study provides possibilities for the understanding of SLE characteristics and the development of new tools for SLE classification.

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