中国中药杂志

2015, v.40(19) 3703-3708

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基于“中药作用机理辅助解析系统”的大黄抗高血脂作用机制研究
Study on mechanism for anti-hyperlipidemia efficacy of rhubarb through assistant analysis systems for acting mechanisms of traditional Chinese medicine

杜梨;袁斌;张百霞;张燕玲;高晓燕;王耘;
DU Li;YUAN Bin;ZHANG Bai-xia;ZHANG Yan-ling;GAO Xiao-yan;WANG Yun;Information Engineering Research Center for Traditional Chinese Medicine,Beijing University of Chinese Medicine;

摘要(Abstract):

大黄是治疗高脂血症的一味常用中药,但其所含化学成分复杂,至今仍然难以明确其各种成分在血脂调节中的具体作用,因此要系统地对大黄治疗高血脂的作用机制进行研究。该文通过多个数据库的整合,利用实体语法系统模型,构建大黄治疗高脂血症的分子作用网络,网络包括有231个节点和638条边。从此推断药物作用靶点与疾病相关蛋白的相互作用关系,发现大黄可以通过促进胆固醇排泄,抑制凝血因子改善血液流变学特征,抑制炎症因子的释放维持体内脂肪代谢平衡,抑制胆固醇、甘油三酯的合成途径达到调节血脂的目的。该研究为新药开发及有效成分的配伍提供了参考,为中药作用机制的系统解析提供了新的途径。
Rhubarb is a traditional Chinese medicine( TCM),wildly used in treating the disease of hyperlipidemia. However,its components are complicated,so that it is still difficult to clear the specific roles of its various components in blood lipids regulation in.So we decide to systematically study the anti- hyperlipidemia mechanism of rhubarb. We integrated multiple databases,based on entity grammar systems model,constructed molecular interaction network between the chemical constituents of rhubarb and hyperlipidemia.The network includes 231 nodes and 638 edges. Thus we infer the interactions of active targets and disease targets to clarify the anti-hyperlipidemia mechanism. And find that rhubarb can promote excretion of cholesterol; inhibit clotting factors and improve blood circulation; inhibit the release of inflammatory cytokines and maintain fat metabolism balance; inhibit cholesterol and triglyceride synthesis;and other ways to achieve lipid-lowering effect. Thus this study provides reference for novel drug development and component compatibility,and also gives a new way for the systematically study of acting mechanism of traditional Chinese medicine.

关键词(KeyWords): 大黄;高脂血症;实体语法系统;作用机制
rhubarb;hyperlipidemia;entity grammar system;mechanism

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(81173568,81373985);; 教育部新世纪优秀人才支持项目(NECT-11-0605)

作者(Author): 杜梨;袁斌;张百霞;张燕玲;高晓燕;王耘;
DU Li;YUAN Bin;ZHANG Bai-xia;ZHANG Yan-ling;GAO Xiao-yan;WANG Yun;Information Engineering Research Center for Traditional Chinese Medicine,Beijing University of Chinese Medicine;

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