Kang Xin, Zhang Kailiang, Wang Yakang, Zhao Yang, Lu Yao
Department of Orthopaedic Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Department of Orthopedics, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, China.
Front Cell Dev Biol. 2023 Apr 4;11:1099287. doi: 10.3389/fcell.2023.1099287. eCollection 2023.
Osteoarthritis (OA) is a common joint disorder characterized by degenerative articular cartilage, subchondral bone remodeling, and inflammation. Increasing evidence suggests that the substantial crosstalk between cartilage and synovium is closely related to Osteoarthritis development, but the events that cause this degeneration remain unknown. This study aimed to explore the alterations in intercellular communication involved in the pathogenesis of Osteoarthritis using bioinformatics analysis. Single-cell transcriptome sequencing (scRNA-seq) profiles derived from articular cartilage tissue of patients with Osteoarthritis were downloaded from a public database. Chondrocyte heterogeneity was assessed using computational analysis, and cell type identification and clustering analysis were performed using the "FindClusters" function in the Seurat package. Intercellular communication networks, including major signaling inputs and outputs for cells, were predicted, and analyzed using CellChat. Seven molecularly defined chondrocytes clusters (homeostatic chondrocytes, hypertrophic chondrocyte (HTC), pre-HTC, regulatory chondrocytes, fibro-chondrocytes (FC), pre-FC, and reparative chondrocyte) with different compositions were identified in the damaged cartilage. Compared to those in the intact cartilage, the overall cell-cell communication frequency and communication strength were remarkably increased in the damaged cartilage. The cellular communication among chondrocyte subtypes mediated by signaling pathways, such as PTN, VISFATIN, SPP1, and TGF-β, was selectively altered in Osteoarthritis. Moreover, we verified that SPP1 pathway enrichment scores increased, but VISFATIN pathway enrichment scores decreased based on the bulk rna-seq datasets in Osteoarthritis. Our results revealed alterations in cell-cell communication among OA-related chondrocyte subtypes that were mediated by specific signaling pathways, which might be a crucial underlying mechanism associated with Osteoarthritis progression.
骨关节炎(OA)是一种常见的关节疾病,其特征为关节软骨退变、软骨下骨重塑和炎症。越来越多的证据表明,软骨与滑膜之间大量的相互作用与骨关节炎的发展密切相关,但导致这种退变的事件仍不清楚。本研究旨在利用生物信息学分析探索参与骨关节炎发病机制的细胞间通讯的改变。从公共数据库下载了来自骨关节炎患者关节软骨组织的单细胞转录组测序(scRNA-seq)图谱。使用计算分析评估软骨细胞的异质性,并使用Seurat软件包中的“FindClusters”函数进行细胞类型鉴定和聚类分析。预测包括细胞主要信号输入和输出的细胞间通讯网络,并使用CellChat进行分析。在受损软骨中鉴定出七个分子定义的软骨细胞簇(稳态软骨细胞、肥大软骨细胞(HTC)、前HTC、调节性软骨细胞、纤维软骨细胞(FC)、前FC和修复性软骨细胞),其组成不同。与完整软骨相比,受损软骨中的整体细胞间通讯频率和通讯强度显著增加。骨关节炎中,由PTN、内脂素、SPP1和TGF-β等信号通路介导的软骨细胞亚型之间的细胞通讯被选择性改变。此外,我们基于骨关节炎的批量RNA-seq数据集验证了SPP1通路富集分数增加,但内脂素通路富集分数降低。我们的结果揭示了OA相关软骨细胞亚型之间由特定信号通路介导的细胞间通讯改变,这可能是与骨关节炎进展相关的关键潜在机制。