基于网络药理学探讨土茯苓治疗痛风的作用机制

目的运用网络药理学预测土茯苓抗痛风有效成分的作用靶点及通路。方法通过TCMSP数据库和Drugbank数据库获取土茯苓有效成分及作用靶点,并运用Cytoscape软件构建靶点间相互作用网络并进行交联分析,筛选出土茯苓治疗痛风的有效成分及作用靶点,采用MAS3.0生物分子功能系统获取通路的相关信息并制成靶点通路网络模型。结果预测得到土茯苓治疗痛风的有效成分11个和有效靶点39个,并推断其作用机制可能与脂肪细胞因子信号通路、ERbB信号通路,Toll样受体信号通路等有关,且MAPK1、RELA、PTGS2等靶点基因可能起着关键性的作用。结论基于网络药理学探讨了土茯苓治疗痛风多成分-多靶点-多通路的作用特点,为进一步开展土茯苓治疗痛风作用机制研究提供了新的思路和方法。

Mechanism of Smilax glabra in treatment of gout based on network pharmacology

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.