基于网络药理学的益母草作用机制分析

Analysis on Mechanism of Effects of Leonuri Herba Based on Network Pharmacology

目的基于网络药理学方法研究益母草主要活性成分及药理机制,为新药研发提供参考。方法检索中药系统药理学分析平台(TCMSP)收录的益母草化学成分,以口服生物利用度(OB)≥30%和类药性(DL)≥0.18为标准筛选活性成分,并找出活性成分对应靶点。构建益母草活性成分-靶点网络、靶蛋白互作网络(PPI),运用DAVID平台进行靶点GO功能富集和KEGG信号通路富集。结果发掘益母草主要活性成分14种,对应靶点216个(包括5个关键靶点AKT1、TP53、IL-6、CALM2、JUN),参与生物过程509个。KEGG关键通路包括催产素信号通路、补体及凝血级联反应、血小板活化、TNF信号通路等。结论本研究初步揭示了益母草药效物质基础及多维药理作用,可为益母草开发利用提供参考。

Objective To study the main active components and pharmacological mechanism of Leonuri Herba based on the network pharmacology; To provide references for research and development of new medicine. Methods Chemical components of Leonuri Herba from the TCMSP database platform were retrieved. The active components were screened by oral bioavailability （OB） ≥ 30% and drug-like （DL） ≥ 0.18, and the corresponding targets of active components were identified. Active components target network and target protein-protein interaction network were constructed, and DAVID platform was used for target GO function enrichment and KEGG signal pathway enrichment analysis. Results Totally 14 main active components and 216 corresponding targets were explored from Leonuri Herba, involving 5 key targets of AKT1, TP53, IL-6, CALM2 and JUN, and participated in 509 biological processes. The key pathways of KEGG included oxytocin signaling pathways, complement and clotting cascades, platelet activation and TNF signaling pathways. Conclusion The material basis and multi-dimensional pharmacological action of Leonuri Herba were preliminarily revealed, which provides basis for its development and utilization.