LAUSR

Through the network pharmacology thought, the action target of the active ingredients of Drynariae Rhizoma was predicted, and the mapping was combined with the related targets of ONFH, and the key nodes of interaction were identified for enrichment analysis, so as to comprehensively explore the pharmacological mechanism of Drynariae Rhizoma against ONFH. The main active ingredients of Drynariae Rhizoma were screened based on pharmacokinetic characteristics in pharmacokinetic database and analysis platform of TCM system (TCMSP). We used the organic small molecule bioactivity database (PubChem) and Swiss target prediction database to predict related targets based on 2D or 3D structural similarity and then mined the known ONFH therapeutic targets through the Human Mendelian Genetic Database (OMIM) and Pubmed texts. Combined with the predicted targets, String database was imported to construct the OP target interaction network diagram of bone fracture therapy. CytoNCA software was used to topology the key nodes of interaction according to relevant node parameters, and String was imported again to construct the protein interaction network diagram. Finally, biological functions and metabolic pathways of key nodes were analyzed through DAVID database. It was revealed that Drynariae Rhizoma may regulate stem cells, osteoblasts, osteoclasts, and immune cells through multiple pathways, including proliferation, differentiation, immunity, and oxidative stress. Conclusion: Pharmacological studies based on network indicate that Drynariae Rhizoma may participate in the regulation of several major signaling pathways through direct or indirect action targets and affect the proliferation and differentiation of multiple types of cells, thus playing an anti-ONFH role, which provides a scientific basis for explaining the material basis and mechanism of its anti- ONFH.