基于网络药理学探讨甘松干预心律失常的作用机制
投稿时间:2019-09-21     点此下载全文
引用本文:邓雅文,陈恒文,武庆娟,李军.基于网络药理学探讨甘松干预心律失常的作用机制[J].中国现代中药,2020,22(9):1485-1493
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作者中文名作者英文名单位中文名单位英文名E-Mail
邓雅文 DENG Ya-wen 中国中医科学院 广安门医院 心血管科,北京100053 Department of Cardiology,Guang′anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China  
陈恒文 CHEN Heng-wen 中国中医科学院 广安门医院 心血管科,北京100053 Department of Cardiology,Guang′anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China  
武庆娟 WU Qing-Juan 中国中医科学院 广安门医院 心血管科,北京100053 Department of Cardiology,Guang′anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China  
李军 LI Jun 中国中医科学院 广安门医院 心血管科,北京100053 Department of Cardiology,Guang′anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China 李军,教授,主任医师,博士生导师,研究方向:中西医结合防治心血管疾病;E-mail:doctorli1031@163.com 
基金项目:国家自然科学基金面上项目(81973836);国家中医临床研究基地业务建设第二批科研专项(JDZX2015249);中国中医科学院基本科研业务自主选题项目(ZZ0808009)
中文摘要:目的:借助网络药理学方法预测并筛选甘松干预心律失常的重要成分及其作用靶点,探讨甘松对心律失常可能的干预机制。方法:从BATMAN-TCM、ETCM、TCMSP数据库获取甘松化学成分,取交集成分作为甘松重要成分;采用BATMAN-TCM对甘松重要成分进行靶点预测。检索TTD和GeneCards数据库中心律失常疾病相关靶点,将甘松重要成分对应的预测靶点映射到疾病靶点中,利用STRING进行蛋白相互作用(PPI)分析,采用Cytoscape软件构建重要成分-预测靶点网络,借助FunRich软件进行基因富集分析,采用KEGG数据库进行通路分析。结果:获得甘松108个成分,其中重要成分9个,预测靶点198个,甘松治疗心律失常疾病靶点4个,拓展关键靶点蛋白14个。涉及通路包括过氧化酶、心肌细胞肾素能信号、FoxO信号通路、cGMP-PKG信号通路、Rap1信号通路、cAMP信号通路等。结论:对甘松的重要成分和关键作用靶蛋白进行了初步筛选和生物信息学验证,其准确性仍待后续实验验证。
中文关键词:甘松  心律失常  网络药理学  信号通路
 
Mechansim of Nardostachys jatamansi in Intervention of Cardiac Arrhythmia Based on Network Pharmacology
Abstract:Objective:To predict and screen the core components and targets of Nardostachys jatamansi in the intervention on cadiac arrhythmia by means of network pharmacology,and to explore the possible mechanism of N. jatamansi in the treatment of cardiac arrhythmia. Methods:The chemical ingredients of N. jatamansi were obtained from three databases,included BATMAN-TCM,ETCM and TCMSP,and the common components were taken as the core ingredients.By searching the disease targets of cardiac arrhythmia in TTD and Genecards database,mapping the predicted targets of the core components to the disease targets,via STRING to carry out PPI analysis,by performing Cytoscape software to build the core component and predicted target network,by working FunRich software to get gene enrichment analysis,and through KEGG database to finish path analysis. Results:There were 108 components in total,9 core ingredients,198 predicted targets,4 targets and 14 key targets in the treatment of cardiac arrhythmia. These pathways may be related to peroxygenase,cardiac renin energy signal,FoxO signal,cGMP-PKG signal,Rap1 signal,cAMP signal. Conclusion:The core ingredients and key target proteins of N. jatamansi have been screened and verified by bioinformatics methods in this study,and its accuracy still needs to be further verified.
keywords:Nardostachys jatamansi DC.  cardiac arrhythmia  network pharmacology  signal pathway
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