Hou Yongwang, Yang Zhicong, Ma Junshuai, Liu Jiangmin, Sun Xiaojie, Li Jingqi, Zhang Bin
Clinical Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, 075000, Hebei Province, China.
Clin Rheumatol. 2025 Jan;44(1):453-463. doi: 10.1007/s10067-024-07213-x. Epub 2024 Nov 25.
Osteoarthritis (OA) is the most common joint disease worldwide, with an age-associated increasing in both incidence and prevalence. However, early diagnosis of OA is a challenge due to the lack of effective biomarkers. This study aimed to identify new biomarkers and mechanisms of OA.
Microarray expression data of synovial tissues from osteoarthritic and healthy populations were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified using GEO2R. Functions and enrichment pathways of DEGs were explained by enrichment analysis and construction of protein-protein interaction (PPI) networks, and hub genes were identified.
By performing Venn analysis on the DEGs obtained from the two datasets, 28 upregulated and 84 downregulated DEGs were gained. JUN, activating transcription factor 3 (ATF3), and Dual-specificity phosphatase 1 (DUSP1), which play important roles in OA, were screened using PPI network construction. The receiver operating characteristic (ROC) curve of JUN, ATF3, and DUSP1 revealed satisfactory diagnostic value for OA. hsa-mir-26b-5p interacts with JUN, ATF3, and DUSP1.
The expression of JUN, ATF3, and DUSP1 was reduced in patients with OA and the three genes mentioned above could be used as potential markers for the diagnosis of OA. hsa-mir-26b-5p may play an important role in the pathogenesis of OA and may be a potential therapeutic target. Key Points • JUN, ATF3, and DUSP1 could be used as potential markers for the diagnosis of OA. • hsa-mir-26b-5p may play an important role in the pathogenesis of OA.
骨关节炎（OA）是全球最常见的关节疾病，其发病率和患病率均随年龄增长而增加。然而，由于缺乏有效的生物标志物，OA的早期诊断具有挑战性。本研究旨在鉴定OA的新生物标志物和发病机制。
从基因表达综合数据库（GEO）下载骨关节炎患者和健康人群滑膜组织的微阵列表达数据，并使用GEO2R鉴定差异表达基因（DEGs）。通过富集分析和蛋白质-蛋白质相互作用（PPI）网络构建来解释DEGs的功能和富集途径，并鉴定枢纽基因。
通过对从两个数据集中获得的DEGs进行韦恩分析，得到28个上调和84个下调的DEGs。利用PPI网络构建筛选出在OA中起重要作用的JUN、激活转录因子3（ATF3）和双特异性磷酸酶1（DUSP1）。JUN、ATF3和DUSP1的受试者工作特征（ROC）曲线显示对OA具有令人满意的诊断价值。hsa-mir-26b-5p与JUN、ATF3和DUSP1相互作用。
OA患者中JUN、ATF3和DUSP1的表达降低，上述三个基因可作为OA诊断的潜在标志物。hsa-mir-26b-5p可能在OA发病机制中起重要作用，可能是一个潜在的治疗靶点。要点：• JUN、ATF3和DUSP1可作为OA诊断的潜在标志物。• hsa-mir-26b-5p可能在OA发病机制中起重要作用。
