摘要
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-hy- perlipidemia mechanism. And find that rhubarb can promote excretion of cholesterol ; inhibit clotting factors and improve blood circula- tion; 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 compati- bility, and also gives a new way for the systematically study of acting mechanism of traditional Chinese medicine.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2015年第19期3703-3708,共6页
China Journal of Chinese Materia Medica
基金
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)