Objective To investigate the relationship between osteoporosis and chronic heart failure based on bioinformatics methods. Methods The target genes were screened in related human disease databases (GeneCards, TTD, OMIM) with osteoporosis and chronic heart failure respectively, and the two sets of predicted targets were mapped to obtain the intersection targets. The PPI interaction network of targets was obtained through STRING v11.0 platform. The core targets were selected according to the degree value, and KEGG pathway analysis were carried out through Metascape database. Results The core intersection targets of osteoporosis and chronic heart failure are VEGFA, STAT3, IL6, TNF, ESR1, IL10, etc. The related pathways are concentrated in the PI3K-Akt signaling pathway, FoxO signaling pathway, HIF-1 signaling pathway, MAPK signaling Access etc. Conclusion Both osteoporosis and chronic heart failure are complex chronic diseases that cover many differentially expressed genes. However, the two diseases still have some highly overlapping gene expressions under the background of complex gene networks, and the signal pathways involved can simultaneously treat the two diseases. These results suggest that the molecular mechanisms of the two diseases are closely related and may suggest potential targets for drug regulation of both diseases at the same time. The application of bioinformatics has high confidence and reference value, which provides a new direction and new idea for exploring the relationship between diseases. |