Global metabolite profiling of synovial fluid for the specific diagnosis of rheumatoid arthritis from other inflammatory arthritis.
Global metabolite profiling of synovial fluid for the specific diagnosis of rheumatoid arthritis from other inflammatory arthritis.
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DOI：
10.1371/journal.pone.0097501
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Kim KH
中科院分区：
文献类型：
--
作者：
Kim S;Hwang J;Xuan J;Jung YH;Cha HS;Kim KH
目前，还没有可靠的生物标志物可以用来区分类风湿性关节炎(RA)和其他炎症性疾病。为了寻找RA可能独特的代谢模式和候选生物标记物，我们对滑液样本进行了整体代谢物分析。对38例RA、强直性脊柱炎、Behçet病和痛风患者的滑液进行了气相色谱-飞行时间质谱仪(GC/TOF-MS)分析。对类风湿性关节炎和非类风湿性关节炎患者进行了正交性偏最小二乘判别分析和系统聚类分析。确定投影值的变量重要性，并进行Wilcoxon-Mann-Whitney检验、分解和单因素方差分析以确定RA的潜在生物标志物。从滑液样本中共鉴定出105种代谢物。正交偏最小二乘判别分析结果显示类风湿性关节炎与非类风湿性关节炎有显著的区分性。20种代谢物，包括瓜氨酸、琥珀酸、谷氨酰胺、十八醇、异戊二酸和甘油，被确定为RA的潜在生物标志物。这些代谢物被发现与尿素和TCA循环以及脂肪酸和氨基酸代谢有关。代谢组学分析结果表明，用GC/TOF MS分析全球代谢物可能是有效诊断和进一步了解RA的有用工具。
Currently, reliable biomarkers that can be used to distinguish rheumatoid arthritis (RA) from other inflammatory diseases are unavailable. To find possible distinctive metabolic patterns and biomarker candidates for RA, we performed global metabolite profiling of synovial fluid samples. Synovial fluid samples from 38 patients with RA, ankylosing spondylitis, Behçet's disease, and gout were analyzed by gas chromatography/time-of-flight mass spectrometry (GC/TOF MS). Orthogonal partial least-squares discriminant and hierarchical clustering analyses were performed for the discrimination of RA and non-RA groups. Variable importance for projection values were determined, and the Wilcoxon-Mann-Whitney test and the breakdown and one-way analysis of variance were conducted to identify potential biomarkers for RA. A total of 105 metabolites were identified from synovial fluid samples. The score plot of orthogonal partial least squares discriminant analysis showed significant discrimination between the RA and non-RA groups. The 20 metabolites, including citrulline, succinate, glutamine, octadecanol, isopalmitic acid, and glycerol, were identified as potential biomarkers for RA. These metabolites were found to be associated with the urea and TCA cycles as well as fatty acid and amino acid metabolism. The metabolomic analysis results demonstrated that global metabolite profiling by GC/TOF MS might be a useful tool for the effective diagnosis and further understanding of RA.
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