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

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 GSE1...

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Published inFrontiers in genetics Vol. 14; p. 1083615
Main Authors Huang, Huijing, Dong, Xinyi, Mao, Kaimin, Pan, Wanwan, Nie, Bin’en, Jiang, Lindi
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 13.02.2023
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Summary: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 CD8A , GZMB , CCL5 , CD2, and CXCL9 , whereas CD8A , CD2 , IL7R , CD27, and GZMB 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.
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Edited by: Shuai Liu, University of Hawaii at Manoa, United States
Reviewed by: Shangxue Yan, Anhui Medical University, China
These authors have contributed equally to this work
Félicie Costantino, Université de Versailles Saint-Quentin-en-Yvelines, France
This article was submitted to RNA, a section of the journal Frontiers in Genetics
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2023.1083615