School of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Department of nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Joint Bone Spine. 2020 Oct;87(5):425-430. doi: 10.1016/j.jbspin.2020.05.005. Epub 2020 May 27.
A systematic review and analysis of data from several rheumatoid arthritis metabolomics studies attempts to determine which metabolites can be used as potential biomarkers for the diagnosis of rheumatoid arthritis and to explore the pathogenesis of rheumatoid arthritis.
We searched all the subject-related documents published by EMBASE, PubMed, Web of Science, and Cochrane Library from the database to the September 2019 publication. Two researchers independently screened the literature and extracted the data. QUADOMICS tool was used to assess the quality of studies included in this systematic review.
A total of 10 studies met the inclusion criteria of systematic review, including 502 patients with rheumatoid arthritis and 373 healthy people. Among them, the biological samples utilised for metabolomic analysis include: serum (n=8), urine (n=1) and synovial fluid (n=1). Some metabolites play an important role in rheumatoid arthritis: glucose, lactic acid, citric acid, leucine, methionine, isoleucine, valine, phenylalanine, threonine, serine, proline, glutamate, histidine, alanine, cholesterol, glycerol, and ribose.
Metabolomics provides important new opportunities for further research in rheumatoid arthritis and is expected to elucidate the pathogenesis of rheumatoid arthritis that has not been fully understood before.
对几项类风湿关节炎代谢组学研究的数据进行系统评价和分析,旨在确定哪些代谢物可作为类风湿关节炎潜在的诊断生物标志物,并探讨类风湿关节炎的发病机制。
我们检索了 EMBASE、PubMed、Web of Science 和 Cochrane Library 数据库中自建库至 2019 年 9 月发表的所有与主题相关的文献。两名研究人员独立筛选文献并提取数据。采用 QUADOMICS 工具评价本系统评价纳入研究的质量。
共有 10 项研究符合系统评价的纳入标准,包括 502 例类风湿关节炎患者和 373 名健康人。其中,用于代谢组学分析的生物样本包括:血清(n=8)、尿液(n=1)和滑液(n=1)。一些代谢物在类风湿关节炎中起重要作用:葡萄糖、乳酸、柠檬酸、亮氨酸、蛋氨酸、异亮氨酸、缬氨酸、苯丙氨酸、苏氨酸、丝氨酸、脯氨酸、谷氨酸、组氨酸、丙氨酸、胆固醇、甘油、核糖。
代谢组学为进一步研究类风湿关节炎提供了重要的新机会,有望阐明以前尚未完全了解的类风湿关节炎发病机制。