ABSTRACT
Objective: To predict the targets and pathways for the main active components of Smilax glabra in the treatment of gout based on network pharmacology. Methods The active components and targets of the S. glabra were obtained by TCMSP database and Drugbank database. Furthemore, the interaction network among the targets was established by Cytoscape software. Meanwhile, crosslink analysis was performed to screen out the active components and potential targets. Finally, the information was obtained from the MAS 3.0 biomolecular function system, and then the target pathway network model was established. Results In this study, a total of 11 effective components and 39 effective targets were predicted, which related to adipocytokine signaling pathway, ERbB signaling pathway, and Toll like receptor signaling pathway. Among these pathways, MAPK1, RELA, PTGS2 genes may play a crucial role. Conclusion This study investigated the characteristics on multi-component, multi-target and multi-pathway of S. glabra, which provided a new idea and method for further study on anti-gout mechanism of S. glabra.