Centre for Analytical Bioscience, Advanced Materials and Healthcare Technologies Division, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK.
Pain Centre Versus Arthritis, Queen's, Medical Centre, Medical School, University of Nottingham, Nottingham, NG7 2RD, UK.
Metabolomics. 2021 Mar 3;17(3):29. doi: 10.1007/s11306-021-01778-3.
Osteoarthritis (OA) is a common cause of disability in older people, but its aetiology is not yet fully understood. Biomarkers of OA from metabolomics studies have shown potential use in understanding the progression and pathophysiology of OA.
To investigate possible surrogate biomarkers of knee OA in urine using metabolomics to contribute towards a better understanding of OA progression and possible targeted treatment.
Liquid chromatography-high resolution mass spectrometry (LC-HRMS) was applied in a case-control approach to explore the possible metabolic differences between the urinary profiles of symptomatic knee OA patients (n = 74) (subclassified into inflammatory OA, n = 22 and non-inflammatory OA, n = 52) and non-OA controls (n = 68). Univariate, multivariate and pathway analyses were performed with a rigorous validation including cross-validation, permutation test, prediction and receiver operating characteristic curve to identify significantly altered metabolites and pathways in OA.
OA datasets generated 7405 variables and multivariate analysis showed clear separation of inflammatory OA, but not non-inflammatory OA, from non-OA controls. Adequate cross-validation (RY = 0.874, Q = 0.465) was obtained. The prediction model and the ROC curve showed satisfactory results with a sensitivity of 88%, specificity of 71% and accuracy of 77%. 26 metabolites were identified as potential biomarkers of inflammatory OA using HMDB, authentic standards and/or MS/MS database.
Urinary metabolic profiles were altered in inflammatory knee OA subjects compared to those with non-inflammatory OA and non-OA controls. These altered profiles associated with perturbed activity of the TCA cycle, pyruvate and amino acid metabolism linked to inflammation, oxidative stress and collagen destruction. Of note, 2-keto-glutaramic acid level was > eightfold higher in the inflammatory OA patients compared to non-OA control, signalling a possible perturbation in glutamine metabolism related to OA progression.
骨关节炎(OA)是老年人常见的致残原因,但发病机制尚不完全清楚。代谢组学研究中的 OA 生物标志物显示出在理解 OA 进展和病理生理学方面的潜在用途。
使用代谢组学研究来探索尿液中膝关节 OA 的可能替代生物标志物,以促进对 OA 进展和可能的靶向治疗的更好理解。
采用液相色谱-高分辨质谱(LC-HRMS)在病例对照研究中探索症状性膝关节炎患者(n=74)(分为炎症性 OA,n=22 和非炎症性 OA,n=52)和非 OA 对照组(n=68)尿液谱之间的可能代谢差异。采用单变量、多变量和途径分析,并进行严格的验证,包括交叉验证、置换检验、预测和接收者操作特征曲线,以鉴定 OA 中明显改变的代谢物和途径。
OA 数据集生成了 7405 个变量,多变量分析显示炎症性 OA 与非炎症性 OA 以及非 OA 对照组之间有明显的分离。获得了足够的交叉验证(RY=0.874,Q=0.465)。预测模型和 ROC 曲线显示出令人满意的结果,灵敏度为 88%,特异性为 71%,准确性为 77%。使用 HMDB、真实标准和/或 MS/MS 数据库鉴定了 26 种代谢物作为炎症性 OA 的潜在生物标志物。
与非炎症性 OA 和非 OA 对照组相比,炎症性膝关节炎患者的尿液代谢谱发生了改变。这些改变的特征与 TCA 循环、丙酮酸和氨基酸代谢的活性紊乱有关,这些代谢与炎症、氧化应激和胶原破坏有关。值得注意的是,炎症性 OA 患者的 2-酮戊二酸水平比非 OA 对照组高出 8 倍以上,表明与 OA 进展相关的谷氨酰胺代谢可能受到干扰。