Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic syndrome that has been identified as an independent risk factor for osteoarthritis (OA) and may even trigger and exacerbate the progression of OA. However, the relationship between T2DM and OA is complex and has not yet been fully clarified by current research. In this study, we analyzed the potential mechanism of action between T2DM and OA by bioinformatics. Transcriptome sequencing data of T2DM (GSE25724) and OA (GSE55235) were downloaded from the gene expression omnibus. Differential expression analysis was performed for different subgroups to obtain differentially expressed genes. The protein-protein interaction network was constructed using overlapping genes and screened for hub targets. Then the enrichment analysis was performed separately for overlapping and hub targets. The GeneMANIA is used to predict functionally similar genes of hub genes. Differential expression analyses revealed that 184 genes are involved in both diseases together. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment results showed that the overlapping genes were mainly involved in the advanced glycation end products-receptor of advanced glycation end products signaling pathway, the NF-kappa B signaling pathway, the mitogen-activated protein kinases signaling pathway, and the interleukin-17 signaling pathway in diabetic complications. The functions of genes similar to the hub genes are focused on cell chemotaxis, positive regulation of cell migration, positive regulation of RNA polymerase II transcription, regulation of leukocyte migration, epithelial cell proliferation, and integrated stress response signaling. The transcription factor Jun and C-X-C motif chemokine 8 may play an important role in the inflammatory response caused by advanced glycation end products. This study improves our understanding of T2DM complicating OA and helps to stimulate more effective treatments.