Wu Xiaomin, Li Huaiming, Meng Fengzhen, Lui Tun Hing, Pan Xiaohua
Department of Orthopaedics, The Second School of Clinical Medicine, Southern Medical University, The Second Affiliated Hospital of Shenzhen University, The Clinical Medical College of Guangdong Medical University, People's Hospital of Shenzhen Baoan District, Shenzhen, China.
Department of Orthopaedic and Traumatology, North District Hospital, Sheung Shui, Hong Kong, China.
J Orthop Surg Res. 2024 Dec 19;19(1):849. doi: 10.1186/s13018-024-05336-0.
Exosomes extracted from synovial fluid (SF-exo) reflect the status of their originating cells. The proteomic profiles of SF-exo are important for the diagnosis of osteoarthritis (OA). To delineate the proteomic differences between SF-exo from OA patients and healthy individuals, a quantitative proteomic study based on iTRAQ technology was performed. In this study, a total of 439 proteins were identified, with 20 proteins exhibiting increased expression in the OA patient group, while 5 showed decreased expression levels. Bioinformatic analysis showed these differentially expressed proteins (DEPs) were involved in a variety of immune-related processes, including complement activation and antigen binding. For further screening, we downloaded a publicly available dataset of synovial fluid (PXD023708) and compared it with our dataset. The comparative Results identified that 5 DEPs overlapped in two datasets, and protein-protein interaction revealed that C3, C4B and APOM were key members of a tightly interactive network. Through receiver operating characteristic (ROC) curve analysis and enzyme-linked immunosorbent assay (ELISA), we confirmed 5 DEPs (C3, C4B, APOM, MMP3, DPYSL2) as potential diagnostic biomarkers for OA. And Pearson correlation analysis confirmed that most of these biomarkers had no significant linear correlation with age. Overall, our study provides the first comprehensive description of the proteomic landscape of SF-exo in OA and identifies several potential biomarkers. These findings are expected to provide valuable insights into the diagnosis and treatment of OA.
从滑液中提取的外泌体（SF-exo）反映了其来源细胞的状态。SF-exo的蛋白质组学特征对于骨关节炎（OA）的诊断很重要。为了描述OA患者和健康个体的SF-exo之间的蛋白质组学差异，进行了一项基于iTRAQ技术的定量蛋白质组学研究。在本研究中，共鉴定出439种蛋白质，其中20种蛋白质在OA患者组中表达增加，而5种蛋白质表达水平降低。生物信息学分析表明，这些差异表达蛋白（DEPs）参与了多种免疫相关过程，包括补体激活和抗原结合。为了进一步筛选，我们下载了一个公开可用的滑液数据集（PXD023708）并将其与我们的数据集进行比较。比较结果确定了两个数据集中有5种DEPs重叠，蛋白质-蛋白质相互作用显示C3、C4B和APOM是紧密相互作用网络的关键成员。通过受试者工作特征（ROC）曲线分析和酶联免疫吸附测定（ELISA），我们确认了5种DEPs（C3、C4B、APOM、MMP3、DPYSL2）作为OA的潜在诊断生物标志物。Pearson相关性分析证实，这些生物标志物中的大多数与年龄无显著线性相关性。总体而言，我们的研究首次全面描述了OA中SF-exo的蛋白质组学概况，并鉴定了几种潜在的生物标志物。这些发现有望为OA的诊断和治疗提供有价值的见解。
