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百合知母汤抗抑郁作用机制的网络药理学研究 被引量:18

Network Pharmacology Study of Anti-Depression Mechanism of Baihe Zhimu Tang
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摘要 目的利用网络药理学探讨百合知母汤抗抑郁的作用机制。方法针对已报道百合知母汤中抗抑郁的活性成分,并依据中药系统药理学技术平台(TCMSP)等数据库、反向分子对接服务器(DRAR-CPI)、人类基因组注释数据库(Gene Cards)预测和筛选百合知母汤的抗抑郁作用靶点。借助Cytoscape 3.5.1软件构建百合知母汤活性成分-作用靶点网络,借助STRING平台构建靶蛋白互作网络,通过生物学信息注释数据库(DAVID)对靶点GO生物过程及KEGG代谢通路进行分析。结果百合知母汤筛选出11个活性成分,作用于106个抑郁相关靶点,调控神经营养因子、Fox O、胰岛素、丝裂原活化蛋白激酶(MAPK)、PI3K-Akt、催乳素等代谢通路,参与蛋白水解、蛋白磷酸化、信号转导、RNA调控等主要生物过程。结论百合知母汤可通过作用于神经、激素等相关的靶点及通路,发挥抗抑郁作用。 OBJECTIVE To discuss anti-depression mechanism of baihe zhimu tang using network pharmacology. METHODS The reported antidepressant active ingredients in baihe zhimu tang were used to predict the targets of main active ingredients of baihe zhimu tang relying on traditional Chinese medicine pharmacology system technology platform(TCMSP)database, reverse molecular doc- king server(DRAR-CPI) and annotation of the human genome database( GeneCards ). The Cytoscape 3.5. 1 software was used to con- struct the baihe zhimu tang active ingredients-targets network. The STRING platform was used to construct protein-protein interaction network, and biological information annotation databases(DAVID) was used to analyze metabolic pathways and biological processes of the targets. RESULTS There are total 11 active ingredients and 106 anti-depression related targets in the baihe zhimu tang. The 106 targets were mainly involved in regulation of neurotrophin, FoxO, insulin, MAPK, PI3K-Akt, prolactin and proteolysis, signal trans- duction, protein phosphorylation and RNA regulation relevant biological processes. CONCLUSION Baihe zhimu tang may play a role in the intervention of depression by acting on the relevant neural, hormonal targets and pathways.
作者 王博龙 刘志强 陈春林 WANG Bo-long;LIU Zhi-qiang;CHEN Chun-lin(School of Chemical and Biological Engineering, Yichun University, Yichun 336000, Chin)
出处 《中国药学杂志》 CAS CSCD 北大核心 2018年第12期988-995,共8页 Chinese Pharmaceutical Journal
基金 江西省教育厅项目(GJJ12596)
关键词 网络药理学 百合知母汤 抑郁 靶点 通路 network pharmacology baihe zhimu tang depression targets pathways
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