Introduction: Rheumatoid arthritis (RA) and osteoarthritis (OA) are two of the most frequent forms of arthritis, which may exhibit common etiology and clinical manifestations. Distinguishing between them is very important to determine the effective treatment and their management.
Methods: In the present study, we analyzed the Affymetrix microarray gene expression dataset (GSE55457) retrieved from 10 healthy controls, 13 patients with RA, and 10 OA patients for identification of hub genes to distinguish between RA and OA by weighted gene co-expression network (WGCNA) analysis and functional enrichment analysis. Meanwhile, the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to construct protein-protein interaction (PPI) network.
Results: The most significant immune pathways associated with RA disease obtained from functional enrichment analysis were Th17, Th1, and Th2 cell differentiation, and cytokine-cytokine receptor interaction pathways. The results of the present study demonstrated that two hub genes, IL2RB and HLA-DOB, may help to differentiate patients with RA from patients with OA at the time of diagnosis.
This study introduces potential pathways and candidate biomarker genes to discriminate the RA and OA.