Xiao-man Jiang , Yu-long Zhu , Pei-rong Gan , Ya Li , Shi-lin Xia , Jing Xu , Yi Wei , Ran Deng , Hong Wu
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引用次数: 0
Abstract
Rheumatoid arthritis (RA) is a metabolically active disease, with shifts in fatty acid metabolism during disease progression profoundly affecting the systemic inflammatory response. Altered fatty acid biomarker metabolism may be a key target for the treatment of RA. To investigate the changes of fatty acid metabolism in RA, collagen-induced arthritis (CIA) model was established. Microdialysis sampling was utilized to overcome the characteristic of occlusive joint cavity in vivo synovial fluid (SF) sampling. Lipidomic methods were established with the UHPLC-Orbitrap Exploris120 platform, and lipid measurements were performed on serum and SF samples. Then, multivariate statistical analyses were performed to detect changes in lipid metabolites induced by CIA. Consequently, a total of 22 potential biomarkers associated with differential fatty acids were screened and identified in serum, and 13 were identified in SF. Notably, alterations were observed in metabolites such as Hexadecanoic acid, Octadecanoic acid, Arachidonic acid, (+/-)11,12-EpETrE, DHA, DPA, Myristic acid, Suberic acid, and others. This study explored a new mechanism of the RA disease process from the perspective of fatty acid metabolism. It provided a new strategy for experimental research on determining the optimal time for establishing CIA model and screening clinical diagnostic biomarkers.
类风湿性关节炎(RA)是一种代谢活跃的疾病,在疾病进展过程中脂肪酸代谢的变化会对全身炎症反应产生深远影响。脂肪酸生物标志物代谢的改变可能是治疗类风湿性关节炎的关键靶点。为了研究 RA 中脂肪酸代谢的变化,研究人员建立了胶原诱导的关节炎(CIA)模型。利用微透析取样克服了体内滑液取样时关节腔闭塞的特点。利用 UHPLC-Orbitrap Exploris120 平台建立了脂质组学方法,并对血清和滑液样本进行了脂质测量。然后进行多元统计分析,以检测 CIA 引起的脂质代谢物的变化。结果在血清中筛选并确定了 22 个与不同脂肪酸相关的潜在生物标记物,在 SF 中确定了 13 个。值得注意的是,在十六烷酸、十八烷酸、花生四烯酸、(+/-)11,12-EpETrE、DHA、DPA、肉豆蔻酸、琥珀酸等代谢物中观察到了变化。这项研究从脂肪酸代谢的角度探索了 RA 疾病过程的新机制。它为确定建立CIA模型和筛选临床诊断生物标志物的最佳时机提供了一种新的实验研究策略。
期刊介绍:
This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome.
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