锦灯笼抗炎活性成分作用机制的网络药理学研究

Study on the action targets for anti-inflammatory bioactive components of Physalis alkekengi L.var.franchetii (Mast.) Makino based on network pharmacology

[目的]预测锦灯笼中抗炎活性成分发挥作用的分子作用机制。[方法]采用反向分子对接方法,将筛选的锦灯笼的活性成分与药物信息数据库Therapeutic Target Database和Drug Bank检索的抗炎作用靶点进行对比分析,归纳总结出锦灯笼活性成分抗炎作用的潜在靶点,并通过MAS3.0对潜在靶点信息进行基因注释,利用Cytoscape3.4.0软件构建锦灯笼活性成分-靶点-通路-疾病网络并分析。[结果]锦灯笼54个活性成分作用于12个炎症靶点,涉及参与信号转导、蛋白水解和炎症反应等16条相关生物过程的代谢通路。[结论]网络药理学的研究方法预测锦灯笼活性成分,从分子水平解释了锦灯笼抗炎的作用机制,并为了中药多成分、多靶点、多通路的药效机制提供了科学依据。

[Objective] To predict the molecular mechanism of anti inflammatory effect of active ingredients inPhysalis alkekengi L. var.franchetii （Mast.） Makino （PAFM）. [Methods] The reverse molecular docking method wasused to compare the active ingredients of the selected PAFM with the anti inflammatory targets searched byTherapeutic Target Database and DrugBank. The potential targets of the anti inflammatory effect of the activecomponents were summarized by MAS.3.0 annotation analysis. Cytoscape3.4.0 software was used to construct theactive ingredient target pathway disease network and analyzed. [Results] Fifty-four active components act on twelveinflammatory targets and 16 metabolic pathways related to biological processes involving in signal transduction,protein hydrolysis and inflammatory response. [Conclusion] The method of network pharmacology is used to predictthe active components of PAFM. The mechanism of the anti inflammatory effect is explained from the molecularlevel, which provides the scientific basis for the mechanism of the multi components, multi targets and multipathways.