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作 者:谭勇[1] 韩学杰[1] 刘大胜[1] 沈宁[1] 沈绍功[1]
机构地区:[1]中国中医科学院中医临床基础医学研究所,北京100700
出 处:《中国实验方剂学杂志》2016年第15期199-205,共7页Chinese Journal of Experimental Traditional Medical Formulae
基 金:国家中医药管理局第一批全国中医学术流派传承工作室建设项目(LPGZS2012-64);北京市中医药科技项目(JJ2014-70);中国中医科学院"名医名家传承"滚动项目(CM2014GD2002);中国中医科学院第八批自主选题项目(ZZ0808023);中国中医科学院名医名家新增项目(CM20142001)
摘 要:目的:探索沈氏降压四物汤治疗高血压的分子机制。方法:参考《中药大辞典(第二版)》查找降压四物汤(组成钩藤、泽泻、川芎、莱菔子)每味药的活性成分,应用Pub Chem数据库检索这些成分对应的靶蛋白;在Pub Med gene数据库中检索高血压的相关基因;将上述数据集导入分子网络分析平台,分别构建靶蛋白和基因的分子网络及生物学通路;通过网络比较,可视化呈现降压四物汤治疗高血压的作用靶点和分子网络机制。结果:降压四物汤主要针对核因子-κB(nuclear factor-κB,NF-κB),血管内皮生长因子(vascular endothelial growth factor,VEGF)和细胞外信号调节激酶1/2(extracellular signal-regulated kinase1/2,ERK1/2)分子靶点及通过调控G蛋白偶联受体信号通路(G-protein coupled receptor signaling,GPR signaling)和血管内皮生长因子信号通路(VEGF signaling)对高血压发挥疗效。结论:降压四物汤是治疗高血压的有效方剂,采用分子网络分析方法能够预测中药复方治疗病证的分子机制。Objective: To explore the molecular mechanism of Shen's antihypertensive Siwu decoction treating hypertension. Method: By reference to Chinese Medicine Dictionary( second edition),active ingredients of the four herbs( Uncariae Ramulus Cum Uncis,ALismatis Rhizoma,Chuanxiong Rhizoma,Raphani Semen) in Shen's antihypertensive Siwu decoction were obtained. The corresponding target proteins of the ingredients were retrieved in Pub Chem database. Meanwhile,hypertension genes were also retrieved in Pub Med gene database. The protein and gene data were imported into the molecular network analysis platform to respectively build the corresponding molecular networks and biological pathways. Through online comparison,some targets and molecular network mechanisms for Shen's antihypertensive Siwu decoction treating hypertension can be found. Result: Shen's antihypertensive Siwu decoction showed a treatment effect on hypertension by regulating 3 molecules [nuclear factor-κB( NF-κB),vascular endothelial growth factor( VEGF) and extracellular signal-regulated kinase 1 /2( ERK1 /2) ]and 2 pathways( G-protein coupled receptor signaling and VEGF signaling). Conclusion: Shen's antihypertensive Siwu decoction is an effective prescription to treat hypertension. Molecular network analysis can predict the molecular mechanisms of traditional Chinese medicine compounds.
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