Metabolic profiling of patients with different idiopathic inflammatory myopathy subtypes reveals potential biomarkers in plasma

被引:6
|
作者
Zhao, Qianqian [1 ,2 ]
Hu, Qiu [1 ]
Meng, Shuhui [1 ]
Zhang, Qinguo [3 ]
Wang, Tingting [1 ,2 ]
Liu, Cuilian [1 ]
Liu, Dongzhou [1 ,2 ,4 ]
Jiang, Zhenyou [5 ]
Hong, Xiaoping [1 ,2 ,4 ]
机构
[1] Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Rheumatol & Immunol, Shenzhen 518020, Peoples R China
[2] Jinan Univ, Integrated Chinese & Western Med Postdoctoral Res, Guangzhou 510632, Peoples R China
[3] Off Healthcare Comm Shenzhen Municipal, Shenzhen 518020, Peoples R China
[4] Southern Univ Sci & Technol, Shenzhen Peoples Hosp, Affiliated Hosp 1, Shenzhen 518020, Peoples R China
[5] Jinan Univ, Coll Basic Med & Publ Hyg, Dept Microbiol & Immunol, Guangzhou 510632, Peoples R China
基金
中国博士后科学基金;
关键词
Metabolomics; Biomarker; Idiopathic inflammatory myopathy; Anti-MDA5 positive dermatomyositis; JAPANESE PATIENTS; ACTIVATION; ACID; AUTOANTIBODIES; MODULATION; MORTALITY; MYOSITIS; ADULT; SERUM; MASS;
D O I
10.1007/s10238-023-01073-6
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Idiopathic inflammatory myopathy (IIM) are heterogeneous autoimmune diseases that primarily affect the proximal muscles. IIM subtypes include dermatomyositis (DM), polymyositis (PM), and anti-synthetase syndrome (ASS). Metabolic disturbances may cause irreversible structural damage to muscle fibers in patients with IIM. However, the metabolite profile of patients with different IIM subtypes remains elusive. To investigate metabolic alterations and identify patients with different IIM subtypes, we comprehensively profiled plasma metabolomics of 46 DM, 13 PM, 12 ASS patients, and 30 healthy controls (HCs) using UHPLC-Q Exactive HF mass spectrometer. Multiple statistical analyses and random forest were used to discover differential metabolites and potential biomarkers. We found that tryptophan metabolism, phenylalanine and tyrosine metabolism, fatty acid biosynthesis, beta-oxidation of very long chain fatty acids, alpha-linolenic acid and linoleic acid metabolism, steroidogenesis, bile acid biosynthesis, purine metabolism, and caffeine metabolism are all enriched in the DM, PM, and ASS groups. We also found that different subtypes of IIM have their unique metabolic pathways. We constructed three models (five metabolites) to identify DM, PM, ASS from HC in the discovery and validation sets. Five to seven metabolites can distinguish DM from PM, DM from ASS, and PM from ASS. A panel of seven metabolites can identify anti-melanoma differentiation-associated gene 5 positive (MDA5 +) DM with high accuracy in the discovery and validation sets. Our results provide potential biomarkers for diagnosing different subtypes of IIM and a better understanding of the underlying mechanisms of IIM.
引用
收藏
页码:3417 / 3429
页数:13
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