Department of Orthopaedics, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Affiliated Xiaoshan Hospital, Hangzhou Normal University.
Crit Rev Immunol. 2025;45(1):15-29. doi: 10.1615/CritRevImmunol.2024051935.
Osteoarthritis (OA) is the primary cause of disability worldwide. Chondrocyte apoptosis has important implications for OA onset and progression. This work was designed to explore the mechanisms of chondrocyte apoptosis in OA and identify key chondrocyte apoptosis-related genes (CARGs). GSE32317 and GSE55235 datasets were acquired from the Gene Expression Omnibus (GEO) database. OA-associated module genes were determined via weighted gene co-expression network analysis (WGCNA) in GSE32317. CARGs were acquired from public databases. ClusterProfiler was employed for GO and KEGG analyses. Protein-protein interaction (PPI) network establishment was realized via the STRING database and Cytoscape, and the hub genes were screened by MCC, MNC, and DMNC algorithms of cyto-Hubba. The diagnostic values of the hub CARGs in OA in GSE55235 were verified via receiver operating characteristic (ROC) curve analysis. C28/I2 cells were stimulated with IL-1Β to establish the in vitro OA model. WGCNA identified 9,141 OA-related genes and 248 CARGs, resulting in 75 CARGs in OA. GO and KEGG analyses demonstrated that the 75 CARGs were primarily enriched in response to lipopolysaccharide, transcription regulator complex, and DNA-binding transcription factor binding, along with NF-kappa B and TNF signaling pathways. NFKB1 and ICAM1 were identified as the hub CARGs in OA through the three algorithms, which showed favorable prognostic values for OA. Notably, both bioinformatics analysis and in vitro assays revealed upregulated NFKB1 and ICAM1 expression in OA. NFKB1 and ICAM1 were the hub CARGs in OA, and might serve as diagnostic signatures and therapeutic targets for OA therapy.
骨关节炎(OA)是全球范围内导致残疾的主要原因。软骨细胞凋亡对 OA 的发病和进展具有重要意义。本研究旨在探讨 OA 中软骨细胞凋亡的机制,并确定关键的软骨细胞凋亡相关基因(CARGs)。从基因表达综合数据库(GEO)中获取 GSE32317 和 GSE55235 数据集。通过 GSE32317 中的加权基因共表达网络分析(WGCNA)确定与 OA 相关的模块基因。从公共数据库中获取 CARGs。使用 ClusterProfiler 进行 GO 和 KEGG 分析。通过 STRING 数据库和 Cytoscape 建立蛋白质-蛋白质相互作用(PPI)网络,并通过 cyto-Hubba 的 MCC、MNC 和 DMNC 算法筛选枢纽基因。通过 ROC 曲线分析验证 GSE55235 中枢纽 CARGs 在 OA 中的诊断价值。用 IL-1Β 刺激 C28/I2 细胞建立体外 OA 模型。WGCNA 鉴定出 9141 个 OA 相关基因和 248 个 CARGs,导致 OA 中有 75 个 CARGs。GO 和 KEGG 分析表明,这 75 个 CARGs主要富集在对脂多糖、转录调控复合物和 DNA 结合转录因子结合的反应中,同时还与 NF-kappa B 和 TNF 信号通路有关。通过三种算法,NFKB1 和 ICAM1 被鉴定为 OA 的枢纽 CARGs,它们对 OA 具有良好的预后价值。值得注意的是,生物信息学分析和体外实验均显示 OA 中 NFKB1 和 ICAM1 的表达上调。NFKB1 和 ICAM1 是 OA 的枢纽 CARGs,可能作为 OA 治疗的诊断标志物和治疗靶点。