Development of a liquid chromatography-mass spectrometry based targeted metabolomics method for discovering diagnostic biomarkers in Kawasaki disease

被引:0
作者
Luo, Xialin [1 ]
Tian, Jiaqi [2 ]
Li, Qing [1 ]
Jin, Zhonggan [1 ]
Fan, Xiaoyu [1 ]
Zhang, Hong [3 ,4 ]
Lv, Haitao [3 ,5 ]
Ju, Yi [1 ]
机构
[1] Shanghai Ctr Clin Lab, Shanghai, Peoples R China
[2] Xuzhou Med Univ, Sch Med Informat & Engn, Xuzhou, Jiangsu, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Shanghai Childrens Hosp, Dept Clin Lab, Shanghai, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Med, Inst Pediat Infect Immun & Crit Care Med, Shanghai, Peoples R China
[5] Hong Kong Baptist Univ, Sch Chinese Med, Hong Kong Tradit Chinese Med Phenome Res Ctr, State Key Lab Environm & Biol Anal, Hong Kong, Peoples R China
关键词
Kawasaki disease; Metabolomics; Mass spectrometry; Metabolite biomarkers; Liquid chromatography; TRYPTOPHAN;
D O I
10.1016/j.chroma.2024.465619
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Kawasaki disease (KD) has emerged as the leading cause of acquired heart disease in children, primarily due to the absence of highly sensitive and specific biomarkers for early and accurate diagnosis. To address this issue, a simple and comprehensive targeted metabolomics method employing ultra high-performance liquid chromatography coupled with Q-TRAP mass spectrometry has been developed to identify new metabolite biomarkers for KD. This method enables the simultaneous quantification of 276 metabolites, covering 60 metabolic pathways, with a particular emphasis on metabolites relevant to KD. The use of nine ISs and commercial quality control samples significantly enhances both accuracy and precision. Through validation and application to serum samples from patients with KD, seventeen differential serum metabolites were identified. The altered metabolites are primarily associated with three functional metabolic pathways: tricarboxylic acid cycle, tryptophan metabolism, and bile acid metabolism, all of which are believed to be involved in the inflammatory and immune responses in KD patients. Ultimately, eight differential metabolites (indole-3-propionic acid, thiamine, indolepyruvic acid, levodopa, L-selenomethionine, isocitric acid, trans-aconitate, and N-acetylasparagine) were identified that could potentially serve as diagnostic biomarkers with the area under the curve values exceeding 0.9. Our targeted metabolomics approach demonstrates applicability in identifying potential metabolite biomarkers for KD and holds great promise in unraveling the intricate pathophysiology of the disease.
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页数:9
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