感染性与非感染性滑液之间的差异。

Differences between infected and noninfected synovial fluid.

作者信息

Akhbari Pouya, Jaggard Matthew K, Boulangé Claire L, Vaghela Uddhav, Graça Gonçalo, Bhattacharya Rajarshi, Lindon John C, Williams Horace R T, Gupte Chinmay M

机构信息

Department of Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, London, UK.

Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.

出版信息

Bone Joint Res. 2021 Jan;10(1):85-95. doi: 10.1302/2046-3758.101.BJR-2020-0285.R1.

Abstract

AIMS

The diagnosis of joint infections is an inexact science using combinations of blood inflammatory markers and microscopy, culture, and sensitivity of synovial fluid (SF). There is potential for small molecule metabolites in infected SF to act as infection markers that could improve accuracy and speed of detection. The objective of this study was to use nuclear magnetic resonance (NMR) spectroscopy to identify small molecule differences between infected and noninfected human SF.

METHODS

In all, 16 SF samples (eight infected native and prosthetic joints plus eight noninfected joints requiring arthroplasty for end-stage osteoarthritis) were collected from patients. NMR spectroscopy was used to analyze the metabolites present in each sample. Principal component analysis and univariate statistical analysis were undertaken to investigate metabolic differences between the two groups.

RESULTS

A total of 16 metabolites were found in significantly different concentrations between the groups. Three were in higher relative concentrations (lipids, cholesterol, and N-acetylated molecules) and 13 in lower relative concentrations in the infected group (citrate, glycine, glycosaminoglycans, creatinine, histidine, lysine, formate, glucose, proline, valine, dimethylsulfone, mannose, and glutamine).

CONCLUSION

Metabolites found in significantly greater concentrations in the infected cohort are markers of inflammation and infection. They play a role in lipid metabolism and the inflammatory response. Those found in significantly reduced concentrations were involved in carbohydrate metabolism, nucleoside metabolism, the glutamate metabolic pathway, increased oxidative stress in the diseased state, and reduced articular cartilage breakdown. This is the first study to demonstrate differences in the metabolic profile of infected and noninfected human SF, using a noninfected matched cohort, and may represent putative biomarkers that form the basis of new diagnostic tests for infected SF. Cite this article:  2021;10(1):85-95.

摘要

目的

利用血液炎症标志物以及滑液(SF)的显微镜检查、培养和药敏试验相结合的方法来诊断关节感染,这是一门并不精确的科学。感染的滑液中的小分子代谢物有潜力作为感染标志物,从而提高检测的准确性和速度。本研究的目的是使用核磁共振(NMR)光谱法来识别感染和未感染的人体滑液之间的小分子差异。

方法

总共从患者身上收集了16份滑液样本(8份感染的天然关节和人工关节样本以及8份因终末期骨关节炎需要进行关节置换术的未感染关节样本)。使用核磁共振光谱法分析每个样本中存在的代谢物。进行主成分分析和单变量统计分析以研究两组之间的代谢差异。

结果

共发现16种代谢物在两组之间的浓度存在显著差异。感染组中有3种代谢物的相对浓度较高(脂质、胆固醇和N - 乙酰化分子),13种代谢物的相对浓度较低(柠檬酸盐、甘氨酸、糖胺聚糖、肌酐、组氨酸、赖氨酸、甲酸盐、葡萄糖、脯氨酸、缬氨酸、二甲基砜、甘露糖和谷氨酰胺)。

结论

在感染队列中发现浓度显著更高的代谢物是炎症和感染的标志物。它们在脂质代谢和炎症反应中起作用。发现浓度显著降低的代谢物参与碳水化合物代谢、核苷代谢、谷氨酸代谢途径,在患病状态下氧化应激增加以及关节软骨分解减少。这是第一项使用未感染的匹配队列证明感染和未感染的人体滑液代谢谱存在差异的研究,这些差异可能代表了推定的生物标志物,可为感染滑液的新诊断测试奠定基础。引用本文:2021;10(1):85 - 95。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2326/7845460/a0b9890a723b/BJR-10-85-g0001.jpg

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