苦豆子中黄酮类成分的网络药理学研究

Network pharmacology of flavonoids in Sophora alopecuroides

该实验运用网络药理学研究苦豆子黄酮类活性成分潜在的药理作用。借助反向药效团匹配的靶标识别服务平台PharmMapper预测苦豆子中11种黄酮类成分潜在作用靶点，通过DAVID和KEGG数据库进行通路注释分析，并采用Cytoscape软件构建苦豆子黄酮类“成分-靶点-通路”网络模型。结果表明苦豆子黄酮类活性成分通过调控INSR，KDR，MET等62个靶点，干预B细胞受体信号转导途径、胰岛素信号通路、神经营养因子信号通路等44条通路发挥抗炎、调节血糖等作用，这与该课题组前期以苦豆子黄酮类成分为基础进行的相关药理学研究所得结果相符合，初步证实了网络药理学的分析结果。该研究探讨了苦豆子黄酮类成分“多成分-多靶点-多通路”的作用机制，体现了中药多成分、多靶点、多途径的作用特点，为深入阐释苦豆子药用的相关机制及开发利用苦豆子资源提供了科学依据。

The aim of this paper was to investigate the potential pharmacological effect of flavonoids in Sophora alopecuroides by network pharmacology. This study predicted the potential targets of 11 flavonoids of S. alopecuroides with help of reversed pharmacophore matching target recognition service platform （PharmMapper）. The pathway information was acquired from DAVID and KEGG databases. Cytoscape software was used to construct the ＂ingredient-target-pathway＂ network of flavonoids active components of S. alopecuroides. The flavonoids active components of S. alopecuroides play anti-inflammatory, blood sugar regulating and other pharmacological effects by regulating 62 targets （ such as INSR, KDR, MET） and intervening 44 pathways, such as B cell receptor signaling pathway, insulin signaling pathway, neurotrophin signaling pathway, and T cell receptor signaling pathway. In this study, the mechanism of ＂muti components-multitargets-multiple pathway＂ of flavonoids was studied. It reflects the multi-components, multi-targets and multiple pathway features of traditional Chinese medicine. Meanwhile, it provides a scientific basis for the elucidation the mechanism of S. alopecuroides as a medicine, and the development and utilization resources of S. alopecuroides.