[关键词]
[摘要]
目的 基于网络药理学分析丹参治疗微循环障碍的分子生物学机制。方法 借助TCMSP、PubChem Search、Genecards数据库和Swiss target prediction在线工具得到丹参的活性成分治疗微循环障碍的作用靶标,利用Cytoscape3.3.0软件构建丹参活性成分-微循环障碍作用靶标网络,通过STRING数据库构建靶蛋白相互作用(PPI)网络,通过生物学信息注释数据库(DAVID)进行基因本体(GO)生物学过程和京都基因与基因组百科全书(KEGG)通路富集分析。结果 从丹参中共筛选出治疗微循环障碍的65个相关活性成分,并发现微循环障碍相关的9个关键靶点。GO和KEGG通路富集分析发现,丹参治疗微循环障碍可能与氧化还原、钙离子稳态等生物过程有关,能够调节血管内皮生长因子信号通路、神经突触信号传导、催产素信号通路、醛固酮-调节钠重吸收等信号通路。结论 丹参治疗微循环障碍体现了多成分、多靶点、多途径的作用特点,为进一步开展丹参治疗微循环障碍作用机制研究提供了新的思路和方法。
[Key word]
[Abstract]
Objective To explore the mechanism of Salvia miltiorrhiza in treatment of microcirculatory disturbance based on network pharmacology. Methods The targets of S. miltiorrhiza's active components for treatment of microcirculatory disturbance were screened and predicted by utilizing TCMSP, PubChem Search, Genecards database and Swiss target prediction online tool. Cytoscape 3.3.0 software was adopted to construct an active component-microcirculatory disturbance target network. The protein-protein interaction (PPI) network was established by using STRING database. DAVID database was used to analyze metabolism pathway in target gene ontology (GO) biological process, Kyoto encyclopedia of genes and gnomes (KEGG). Results Totally 65 active components of S. miltiorrhiza and nine related targets were screened. GO and KEGG pathway enrichment analysis revealed that active components of S. miltiorrhiza participated in oxidation-reduction process, cellular calcium ion homeostasis and other biological processes, and S. miltiorrhiza may regulate VEGF signaling pathway, cholinergic synapse signal transduction, oxytocin signaling pathway, aldosterone-regulated sodium reabsorption pathway and so on. Conclusion This study reflects the characteristics of multi-components, multi-targets, and multi-pathways of S. miltiorrhiza in the treatment of microcirculation disturbance, which may provide new ideas and methodology for further research on the treatment of microcirculatory disturbance using S. miltiorrhiza.
[中图分类号]
R285.5
[基金项目]
国家自然科学基金资助项目(81603070);广州市科技计划项目珠江科技新星专项(201610010113)