Exploration of the serum metabolite signature in patients with rheumatoid arthritis using gas chromatography-mass spectrometry
Exploration of the serum metabolite signature in patients with rheumatoid arthritis using gas chromatography-mass spectrometry
复制标题
使用气相色谱-质谱法探索类风湿关节炎患者的血清代谢特征
DOI：
10.1016/j.jpba.2016.02.004
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发表时间：
2016-08-05
影响因子：
3.4
通讯作者：
Xu, Guowang
中科院分区：
文献类型：
--
作者：
Zhou, Jia;Chen, Jiao;Xu, Guowang
类风湿性关节炎（RA）是一种病因复杂的全身性自身免疫性疾病。类风湿关节炎患者体内存在明显的代谢改变，发现代谢特征有助于类风湿关节炎的准确诊断。为了探讨类风湿关节炎患者独特的代谢模式，采用气相色谱-质谱（GC-MS）方法。收集33例RA患者和32例健康对照者的血清样品并进行分析。采用主成分分析（PCA）和偏最小二乘判别分析（PLS-DA）对获得的代谢数据进行分析，结果显示RA患者和健康对照者的代谢特征存在很大差异。结合项目值变量重要性（VIP）和Student t检验筛选RA引起的显著代谢变化。RA患者血清中氨基酸和葡萄糖水平降低，脂肪酸和胆固醇水平升高，这主要与糖酵解途径、脂肪酸和氨基酸代谢以及其他相关途径（包括TCA循环和尿素循环）有关。这些初步结果表明，基于GC-MS的代谢谱研究似乎是一个有用的工具，在探索RA的代谢特征，揭示疾病相关的代谢紊乱可能有助于阐明RA的发病机制，并提供了一个可能的援助，为准确诊断RA。(C)© 2016 Elsevier B. V.版权所有。
Rheumatoid arthritis (RA) is a systemic autoimmune disease with complicated pathogeny. There could be obvious alterations of metabolism in the patients with RA and the discovery of metabolic signature may be helpful for the accurate diagnosis of RA. In order to explore the distinctive metabolic patterns in RA patients, a gas chromatography-mass spectrometry (GC-MS) method was employed. Serum samples from 33 RA patients and 32 healthy controls were collected and analyzed. Acquired metabolic data were assessed by the principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), and the data analysis results showed RA patients and healthy controls have very different metabolic profiles. Variable importance for project values (VIP) and Student's t-test were combined to screen the significant metabolic changes caused by RA. Serums from RA patients were featured by decreased levels of amino acids and glucose, increased levels of fatty acids and cholesterol, which were primarily associated with glycolytic pathway, fatty acid and amino acid metabolism, and other related pathways including TCA cycle and the urea cycle. These preliminary results suggest that GC-MS based metabolic profiling study appears to be a useful tool in the exploration of the metabolic signature of RA, and the revealed disease-associated metabolic perturbations could help to elucidate the pathogenesis of RA and provide a probable aid for the accurate diagnosis of RA. (C) 2016 Elsevier B.V. All rights reserved.