| Objective To explore the relationship between osteoporosis and obesity by bioinformatics. Methods Osteoporosis and obesity were selected from related disease databases (Disgenet, TTD, OMIM, Drugbank, KEGG). After de-integration, the two groups of predicted targets were mapped to obtain key targets. The PPI interaction network of targets was obtained through STRING website. The core targets were selected according to the degree value, and GO enrichment analysis and KEGG pathway analysis were carried out through DAVID database. Results There were 336 and 398 targets related to osteoporosis and obesity, respectively, and 56 key targets were mapped. Fifteen core targets were selected with degree≥13 and imported into DAVID database to obtain 31 GO enrichment results (P<0.05) and 55 KEGG signal pathways (P<0.05). Conclusion AKT1, IL6, LEP, TNF and other core targets act on TNF pathway, HIF-1 pathway, adipocytokine pathway, Toll-like receptor signaling pathway, insulin resistance signaling pathway, AMPK signaling pathway, FoxO signaling pathway, etc. At the same time, they can regulate osteoporosis and obesity. Although the two complex metabolic diseases each contain many targets, they are still closely related in molecular mechanism. The application of bioinformatics has high confidence and reference value, which provides a new direction and new idea for exploring the relationship between diseases. |