Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
J Cell Biochem. 2019 Aug;120(8):12653-12664. doi: 10.1002/jcb.28533. Epub 2019 Mar 4.
Rheumatoid arthritis (RA) and osteoarthritis (OA) were two major types of joint diseases. This study aimed to explore the mechanism underlying OA and RA and analyze their difference by integrated analysis of multiple gene expression data sets.
Gene expression data sets of RA and OA were downloaded from The Gene Expression Omnibus. Shared and specific differentially expressed genes (DEGs) in RA and OA were identified by integrated analysis of multiple gene expression data sets. Functional annotation and protein-protein interaction (PPI) network construction of OA- and RA-specific DEGs were performed to further explore the molecular mechanisms underlying RA and OA and analyze the mechanism differences between them.
Compared with normal controls, 3757 and 2598 DEGs were identified in RA and OA, respectively. Among them, 2176 DEGs were RA-specific DEGs and 1017 DEGs were OA-specific DEGs. Moreover, the expression of 17 DEGs played opposite pattern in RA and OA compared with normal controls. Chemokine signaling pathway and oxidative phosphorylation were significantly enriched pathways for RA- and OA-specific DEGs, respectively. BIRC2 and CSNK1E were respective hub genes of RA- and OA-specific PPI network.
Our findings provided clues for the specific mechanism and developing specific biomarkers for RA and OA.
类风湿性关节炎（RA）和骨关节炎（OA）是两种主要的关节疾病。本研究旨在通过综合分析多个基因表达数据集来探讨 OA 和 RA 的发病机制，并分析它们之间的差异。
从基因表达综合数据库（GEO）中下载 RA 和 OA 的基因表达数据集。通过综合分析多个基因表达数据集，鉴定 RA 和 OA 中的共享和特有差异表达基因（DEGs）。对 OA 和 RA 特异性 DEGs 进行功能注释和蛋白质-蛋白质相互作用（PPI）网络构建，以进一步探讨 RA 和 OA 的分子机制，并分析它们之间的机制差异。
与正常对照组相比，在 RA 和 OA 中分别鉴定出 3757 和 2598 个 DEGs。其中，2176 个 DEGs 是 RA 特异性 DEGs，1017 个 DEGs 是 OA 特异性 DEGs。此外，与正常对照组相比，17 个 DEGs 的表达在 RA 和 OA 中呈现相反的模式。趋化因子信号通路和氧化磷酸化分别是 RA 和 OA 特异性 DEGs 的显著富集通路。BIRC2 和 CSNK1E 分别是 RA 和 OA 特异性 PPI 网络的枢纽基因。
本研究结果为 RA 和 OA 的特定机制提供了线索，并为开发 RA 和 OA 的特异性生物标志物提供了依据。
