| Objective To analyze the relationship between rheumatoid arthritis (RA) and osteoporosis (OP) with bioinformatics. Methods The disease genes of RA and OP were found from Genecards, OMIM, TTD, and other databases. The genes of the two groups of diseases were intersected. The common genes were introduced into STRING database to construct protein interaction (PPI) network map. The key genes in PPI network were screened with R software. The common genes were enriched and analyzed with GO and KEGG using DAVID database. Results A total of 5388 RA-related genes and 4587 OP-related genes were screened by searching the database, and 1899 common target genes were obtained after intersection. PPI network map showed that IL-6, INS, AKT1, TNF, TP53, VEGFA, and EGFR were the common key genes of RA and OP. GO enrichment was mainly related to receptor ligand activity, cytokine receptor binding, vesicle lumen, T cell activation, regulation of peptide secretion, and so on. KEGG signal pathway includes PI3K-Akt signal pathway, JAK-STAT signal pathway, osteoclast differentiation, apoptosis, Th17 cell differentiation, and so on. Conclusion The common key genes and signal pathways of RA and OP are obtained in this study, which is helpful to understand the correlation between them in the process of disease and provides theoretical reference for drug research and development. |