| Objective To investigate the relationship between osteoporosis and type 2 diabetes mellitus based on bioinformatics. Method Five major disease databases (Disgenet, TTD, OMIM, Drugbank, and KEGG database) and analysis platform (DAVID database) were used to analyze and screen related genes of osteoporosis and type 2 diabetes. Results 336 and 316 genes related to osteoporosis and type 2 diabetes, respectively, were selected by screening the five major disease databases and related literatures. The data were imported into DAVID database for gene enrichment analysis and KEGG pathway analysis. Analysis results showed that osteoporosis and type 2 diabetes related pathways include PI3K-Akt signaling pathways, FoxO signal pathway, HIF-1 signaling pathways, AMPK pathway, HIF-1 Rap1 signaling pathways, Jak - STAT signal pathway, Ras signaling pathways, NF kappa B signaling pathways, T cell signaling pathways, TNF signaling pathways, VEGF signaling pathways, fat cytokine signaling pathways and fc - epsilon ri signaling pathways. Conclusion Both osteoporosis and type 2 diabetes are complex metabolic diseases that involve many differentially expressed genes. Both diseases have large gene expression networks involving many signaling pathways. It can be seen from the pathway analysis results that there are still some highly overlapping differential gene expression under the background of the complex gene network of the two diseases. The signaling pathways involved can regulate both diseases at the same time, which indicates that the molecular mechanisms of the two diseases are closely related and may be the target of drug intervention in both diseases. |