Objective To study the molecular mechanism of Jisheng Shenqi Pill in treating osteoporosis (OP) by applying network pharmacological analysis technology. Methods The TCMSP database was used to query and screen out the active ingredients and effective targets of a total of 10 traditional Chinese medicines of Jisheng Shenqi Pills. The three major disease targets were retrieved: Comparative Toxicogenomics Database (CTD), GeneCards and Online Mendelian Inheritance in Man (OMIM) Point database to query osteoporosis-related targets; use Venny 2.1 to count intersection targets of compound and disease, and draw Venn diagram. Using Cytoscape 3.6 software, draw the active ingredient-intersection target network diagram. The data obtained after the intersection targets were imported into the String database was used to construct a protein interaction network map by Cytoscape's CytoHubba plug-in. The gene function GO analysis and KEGG pathway enrichment analysis were performed through the DAVID database, and bubble charts were drawn using R-studio software. Use Cytoscape to draw a network diagram of core targets and KEGG pathway. Results A total of 63 active ingredients were obtained in Jisheng Shenqi Pills, and 211 related targets were predicted. A total of 3126 OP related targets were retrieved through the three major databases; 132 targets were compounded with disease. The intersection gene and protein interaction network map and core target-pathway network map were constructed by Cytoscape. The arrangement according to the size of the nodes shows that Jisheng Shenqi Wan mainly acts on target genes such as AKT1, MAPK1, IL6, MAPK8, JUN, VEGFA and regulation Signal pathways such as TNF, IL-17, AGE-RAGE, Fluid shear stress and atherosclerosis play a role in treating OP. Conclusion Jisheng Shenqi Pill has the characteristics of multi-component, multi-target and multi-system in treating OP. Its mechanism of action may be through inhibiting osteoclast formation, stimulating osteoblast activity, regulating bone metabolism balance, reducing inflammatory response, etc. Approach. |