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基于网络药理学的四逆散与酸枣仁汤治疗失眠分子机制的比较研究

刘梦 李杰 李峰 吴凤芝 张蔚 王曦廷 马捷 戴宁 张炜悦 于姣姣 谭丽博

北京中医药大学学报2019,Vol.42Issue(1):44-51,8.
北京中医药大学学报2019,Vol.42Issue(1):44-51,8.DOI:10.3969/j.issn.1006-2157.2019.01.008

基于网络药理学的四逆散与酸枣仁汤治疗失眠分子机制的比较研究

Molecular mechanism of Sini San and Suanzaoren Tang in treatment of insomnia based on network pharmacology:a comparative study

刘梦 1李杰 1李峰 1吴凤芝 1张蔚 1王曦廷 1马捷 1戴宁 1张炜悦 1于姣姣 1谭丽博1

作者信息

  • 1. 北京中医药大学中医学院,北京 100029
  • 折叠

摘要

Abstract

Objective To study and compare the molecular mechanism of SiniSan (Cold-Limbs Powder) and Suanzaoren Tang (Spine Date Seed Decoction) in treatment of insomnia based on network pharmacology method.Methods A database of active compounds of Sini San and Suanzaoren Tang was established through searching the databases of Chinese medicinal compounds including traditional Chinese medicinal system pharmacology platform (TCMSP) , and the predictive analysis of the compounds was conducted by using machine learning algorithm.Based on the analyses of KEGG pathway, gene ontology (GO) enrichment and disease association of therapeutic target database (TTD) , Cytoscape software was used to construct complex network of active constituent-target-disease and topological analysis of the pharmacological mechanisms of Sini San and Suanzaoren Tang.Results There were 145 active constituents obtained from Sini San and among them saikoside and kaempferol had higher binding activities.There were 1 306 target proteins obtained and among them22 were significantly correlated to diseases, and 49 significant KEGG pathways and 72 significant GO enrichment pathways obtained from Sini San.There were 139 active constituents obtained from Suanzaoren Tang and among them jujuboside and timosaponin had higher binding activities.There were 1 386 target proteins, 52 significant KEGG pathways and 84 significant GO enrichment pathways obtained from Suanzaoren Tang.Conclusion The potential network pharmacological mechanisms and active constituents of Sini San and Suanzaoren Tang in insomnia treatment are studied at the molecular biology level through complex network graph calculation and bioinformatics analysis.The purpose is to provide new ideas for further revealing the mechanism of treating insomnia with Chinese medicinal based on principle of different treatments for the same disease.

关键词

网络药理学/四逆散/酸枣仁汤/失眠/分子机制

Key words

network pharmacology/Sini San (Cold-Limbs Powder)/Suanzaoren Tang (Spine Date Seed Decoction)/insomnia/molecular mechanism

分类

医药卫生

引用本文复制引用

刘梦,李杰,李峰,吴凤芝,张蔚,王曦廷,马捷,戴宁,张炜悦,于姣姣,谭丽博..基于网络药理学的四逆散与酸枣仁汤治疗失眠分子机制的比较研究[J].北京中医药大学学报,2019,42(1):44-51,8.

基金项目

北京市自然科学基金资助项目(No.7162124) (No.7162124)

北京中医药大学自主课题(No.2018-JYB-XS) (No.2018-JYB-XS)

北京中医药大学学报

OA北大核心CSCDCSTPCD

1006-2157

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