| Objective To investigate the relationship between osteoporosis and hyperthyroidism based on clinical trials and bioinformatics. Methods (1) 40 female hyperthyroidism patients (observation group) and 40 female patients with normal thyroid function (control group) were selected as the research subjects. Their T-score and BMD were compared. (2) Data of patients with osteoporosis or hyperthyroidism were screened from related disease databases. The two sets of predicted targets were mapped to obtain the intersection targets. The PPI network of targets was obtained through STRING v11.0 platform. The core targets were selected according to the degree value. GO enrichment analysis and KEGG pathway analysis were carried out through Metascape database. Results T-score and BMD in the observation group were lower than those in the control group (P<0.01). The core intersection targets of osteoporosis and hyperthyroidism were IL6, TNF, INS, IL1B, ALB, IL10, LEP, etc. The core target acted on the cytokine-cytokine receptor interaction, Jak-STAT signaling pathway, type I diabetes mellitus, HIF-1 signaling pathway, PI3K-Akt signaling pathway, and adipocytokine signaling pathway, etc. Conclusion Osteoporosis and hyperthyroidism have some highly overlapping gene expressions under the background of complex gene networks. The signal pathways involved can simultaneously function on 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 on the basis of clinical trials has high confidence and reference value, which provides new direction and new idea for exploring the relationship among diseases. |