Institute of Ageing and Chronic Disease , University of Liverpool , Liverpool L7 8TX , U.K.
Institute of Integrative Biology , University of Liverpool , Liverpool L69 7ZB , U.K.
J Proteome Res. 2018 Aug 3;17(8):2735-2743. doi: 10.1021/acs.jproteome.8b00190. Epub 2018 Jul 20.
Osteoarthritis (OA), osteochondrosis (OC), and synovial sepsis in horses cause loss of function and pain. Reliable biomarkers are required to achieve accurate and rapid diagnosis, with synovial fluid (SF) holding a unique source of biochemical information. Nuclear magnetic resonance (NMR) spectroscopy allows global metabolite analysis of a small volume of SF, with minimal sample preprocessing using a noninvasive and nondestructive method. Equine SF metabolic profiles from both nonseptic joints (OA and OC) and septic joints were analyzed using 1D H NMR spectroscopy. Univariate and multivariate statistical analyses were used to identify differential metabolite abundance between groups. Metabolites were annotated via H NMR using 1D NMR identification software Chenomx, with identities confirmed using 1D H and 2D H C NMR. Multivariate analysis identified separation between septic and nonseptic groups. Acetate, alanine, citrate, creatine phosphate, creatinine, glucose, glutamate, glutamine, glycine, phenylalanine, pyruvate, and valine were higher in the nonseptic group, while glycylproline was higher in sepsis. Multivariate separation was primarily driven by glucose; however, partial-least-squares discriminant analysis plots with glucose excluded demonstrated the remaining metabolites were still able to discriminate the groups. This study demonstrates that a panel of synovial metabolites can distinguish between septic and nonseptic equine SF, with glucose the principal discriminator.
骨关节炎(OA)、骨软骨病(OC)和马的滑膜脓毒症会导致功能丧失和疼痛。需要可靠的生物标志物来实现准确和快速的诊断,而滑液(SF)具有独特的生化信息来源。核磁共振(NMR)光谱允许对少量 SF 进行全局代谢物分析,使用非侵入性和非破坏性方法进行最小的样品预处理。使用 1D H NMR 光谱分析了来自非脓毒性关节(OA 和 OC)和脓毒性关节的马 SF 代谢谱。使用单变量和多变量统计分析来识别组间差异代谢物丰度。通过 1D NMR 鉴定软件 Chenomx 使用 1D NMR 对代谢物进行注释,并使用 1D H 和 2D H C NMR 确认身份。多元分析确定了脓毒性和非脓毒性组之间的分离。非脓毒性组中乙酸盐、丙氨酸、柠檬酸、磷酸肌酸、肌酸、葡萄糖、谷氨酸、谷氨酰胺、甘氨酸、苯丙氨酸、丙酮酸和缬氨酸含量较高,而脓毒症中甘氨酰脯氨酸含量较高。多元分离主要由葡萄糖驱动;然而,排除葡萄糖后的偏最小二乘判别分析图表明,其余代谢物仍能区分组。这项研究表明,一组滑膜代谢物可以区分脓毒性和非脓毒性马的 SF,其中葡萄糖是主要的鉴别物。