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Synovial Fluid Metabolites Differentiate between Septic and Nonseptic Joint Pathologies.
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2018-07-20 , DOI: 10.1021/acs.jproteome.8b00190 James R Anderson 1 , Marie M Phelan 2, 3 , Peter D Clegg 1 , Mandy J Peffers 1 , Luis M Rubio-Martinez 4
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2018-07-20 , DOI: 10.1021/acs.jproteome.8b00190 James R Anderson 1 , Marie M Phelan 2, 3 , Peter D Clegg 1 , Mandy J Peffers 1 , Luis M Rubio-Martinez 4
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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 1H NMR spectroscopy. Univariate and multivariate statistical analyses were used to identify differential metabolite abundance between groups. Metabolites were annotated via 1H NMR using 1D NMR identification software Chenomx, with identities confirmed using 1D 1H and 2D 1H 13C 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.
中文翻译：
滑液代谢物区分脓毒性和非脓毒性关节病理。
马的骨关节炎（OA）、骨软骨病（OC）和滑膜脓毒症会导致马的功能丧失和疼痛。需要可靠的生物标志物来实现准确、快速的诊断，而滑液 (SF) 拥有独特的生化信息来源。核磁共振 (NMR) 光谱可对少量 SF 进行全局代谢物分析，并使用非侵入性和非破坏性方法进行最少的样品预处理。使用 1D 1H NMR 光谱分析来自非脓毒症关节（OA 和 OC）和脓毒症关节的马 SF 代谢特征。使用单变量和多变量统计分析来确定组间代谢物丰度的差异。使用 1D NMR 识别软件 Chenomx 通过 1H NMR 对代谢物进行注释，并使用 1D 1H 和 2D 1H 13C NMR 确认身份。多变量分析确定了脓毒症组和非脓毒症组之间的区别。乙酸盐、丙氨酸、柠檬酸盐、磷酸肌酸、肌酐、葡萄糖、谷氨酸、谷氨酰胺、甘氨酸、苯丙氨酸、丙酮酸和缬氨酸在非脓毒症组中较高，而甘氨酰脯氨酸在脓毒症组中较高。多变量分离主要由葡萄糖驱动；然而，排除葡萄糖的部分最小二乘判别分析图表明，剩余的代谢物仍然能够区分各组。这项研究表明，一组滑膜代谢物可以区分脓毒症和非脓毒症马 SF，其中葡萄糖是主要区分因素。
更新日期：2018-07-21
中文翻译：
滑液代谢物区分脓毒性和非脓毒性关节病理。
马的骨关节炎（OA）、骨软骨病（OC）和滑膜脓毒症会导致马的功能丧失和疼痛。需要可靠的生物标志物来实现准确、快速的诊断，而滑液 (SF) 拥有独特的生化信息来源。核磁共振 (NMR) 光谱可对少量 SF 进行全局代谢物分析，并使用非侵入性和非破坏性方法进行最少的样品预处理。使用 1D 1H NMR 光谱分析来自非脓毒症关节（OA 和 OC）和脓毒症关节的马 SF 代谢特征。使用单变量和多变量统计分析来确定组间代谢物丰度的差异。使用 1D NMR 识别软件 Chenomx 通过 1H NMR 对代谢物进行注释，并使用 1D 1H 和 2D 1H 13C NMR 确认身份。多变量分析确定了脓毒症组和非脓毒症组之间的区别。乙酸盐、丙氨酸、柠檬酸盐、磷酸肌酸、肌酐、葡萄糖、谷氨酸、谷氨酰胺、甘氨酸、苯丙氨酸、丙酮酸和缬氨酸在非脓毒症组中较高，而甘氨酰脯氨酸在脓毒症组中较高。多变量分离主要由葡萄糖驱动；然而，排除葡萄糖的部分最小二乘判别分析图表明，剩余的代谢物仍然能够区分各组。这项研究表明，一组滑膜代谢物可以区分脓毒症和非脓毒症马 SF，其中葡萄糖是主要区分因素。
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