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通过综合生物信息学分析鉴定类风湿性关节炎和骨关节炎中的关键候选基因和通路。

Identification of key candidate genes and pathways in rheumatoid arthritis and osteoarthritis by integrated bioinformatical analysis.

作者信息

Huang Huijing, Dong Xinyi, Mao Kaimin, Pan Wanwan, Nie Bin'en, Jiang Lindi

机构信息

Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.

Shanghai Jiaotong University School of Medicine, Shanghai, China.

出版信息

Front Genet. 2023 Feb 13;14:1083615. doi: 10.3389/fgene.2023.1083615. eCollection 2023.

DOI:10.3389/fgene.2023.1083615
PMID:36861127
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9968929/
Abstract

Rheumatoid arthritis (RA) and osteoarthritis (OA) are the most common joint disorders. Although they have shown analogous clinical manifestations, the pathogenesis of RA and OA are different. In this study, we used the online Gene Expression Omnibus (GEO) microarray expression profiling dataset GSE153015 to identify gene signatures between RA and OA joints. The relevant data on 8 subjects obtained from large joints of RA patients (RA-LJ), 8 subjects obtained from small joints of RA patients (RA-SJ), and 4 subjects with OA were investigated. Differentially expressed genes (DEGs) were screened. Functional enrichment analysis of DEGs including the Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified, which were mainly associated with T cell activation or chemokine activity. Besides, protein-protein interaction (PPI) network analysis was performed, and key modules were identified. Hub genes of RA-LJ and OA groups were screened, they were , , , and , whereas , , , and were hub genes of RA-SJ and OA group. The novel DEGs and functional pathways between RA and OA identified in this study may provide new insight into the underlying molecular mechanisms and therapeutic strategies of RA and OA.

摘要

类风湿关节炎(RA)和骨关节炎(OA)是最常见的关节疾病。尽管它们表现出相似的临床表现,但RA和OA的发病机制不同。在本研究中,我们使用在线基因表达综合数据库(GEO)微阵列表达谱数据集GSE153015来识别RA和OA关节之间的基因特征。对从RA患者大关节获取的8名受试者(RA-LJ)、从RA患者小关节获取的8名受试者(RA-SJ)以及4名OA患者的相关数据进行了研究。筛选出差异表达基因(DEG)。对包括基因本体论术语和京都基因与基因组百科全书(KEGG)通路在内的DEG进行功能富集分析,这些主要与T细胞活化或趋化因子活性相关。此外,进行了蛋白质-蛋白质相互作用(PPI)网络分析,并确定了关键模块。筛选出RA-LJ和OA组的枢纽基因,它们是 、 、 、 和 ,而 、 、 、 和 是RA-SJ和OA组的枢纽基因。本研究中确定的RA和OA之间新的DEG和功能通路可能为RA和OA的潜在分子机制和治疗策略提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/0b71ccf8e6a9/fgene-14-1083615-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/c305557826a4/fgene-14-1083615-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/f8584d0476e4/fgene-14-1083615-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/e69d64ff32ce/fgene-14-1083615-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/9509c484a769/fgene-14-1083615-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/0b71ccf8e6a9/fgene-14-1083615-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/c305557826a4/fgene-14-1083615-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/f8584d0476e4/fgene-14-1083615-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/e69d64ff32ce/fgene-14-1083615-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/9509c484a769/fgene-14-1083615-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f346/9968929/0b71ccf8e6a9/fgene-14-1083615-g005.jpg

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