Objective To explore the relationship between osteoporosis and sarcopenia based on bioinformatics. Methods The co-expressed genes of osteoporosis and sarcopenia were analyzed and screened through seven disease databases (CTD, Disgenet, TDD, OMIM, GeneCards, Drugbank, and KEGG database). GO enrichment analysis and KEGG pathway analysis were carried out based on the filtering results. The STRING website was used for osteoporosis and sarcopenia common target gene analysis and protein interaction network analysis. Results 1782 genes related to osteoporosis and 429 genes to sarcopenia were selected through disease database screening. Through gene GO enrichment analysis and KEGG pathway analysis, the pathways related to osteoporosis and sarcopenia were concentrated in PI3K-Akt, longevity regulation, FoxO, AGE-RAGE, HIF-1, AMPK, JAK-STAT, MAPK, insulin, TNF, and apoptosis processes. Conclusion Osteoporosis and sarcopenia are both complex metabolic diseases, involving many differentially expressed genes. However, there are still some highly overlapping differentially expressed genes in the pathogenesis of the two diseases, which can regulate both diseases at the same time. This suggests that there is a close correlation between the pathogenesis of osteoporosis and sarcopenia, and the common target genes can be used as the therapeutic target to intervene in both diseases at the same time. |