Huo Xiao-qian, He Yu-su, Qiao Lian-sheng, Sun Zhi-yi, Zhang Yan-ling
Zhongguo Zhong Yao Za Zhi. 2014 Dec;39(24):4839-43.
The combined application of statins that inhibit HMG-CoA reductase and fibrates that activate PPAR-α can produce a better lipid-lowering effect than the simple application, but with stronger adverse reactions at the same time. In the treatment of hyperlipidemia, the combined administration of TCMs and HMG-CoA reductase inhibitor in treating hyperlipidemia shows stable efficacy and less adverse reactions, and provides a new option for the combined application of drugs. In this article, the pharmacophore technology was used to search chemical components of TCMs, trace their source herbs, and determine the potential common TCMs that could activate PPAR-α. Because there is no hyperlipidemia-related medication reference in modern TCM classics, to ensure the high safety and efficacy of all selected TCMs, we selected TCMs that are proved to be combined with statins in the World Traditional/Natural Medicine Patent Database, analyzed corresponding drugs in pharmacophore results based on that, and finally obtained common TCMs that can be applied in PPAR-α and combined with statins. Specifically, the pharmacophore model was based on eight receptor-ligand complexes of PPAR-α. The Receptor-Ligand Pharmacophore Generation module in the DS program was used to build the model, optimize with the Screen Library module, and get the best sub-pharmacophore, which consisted of two hydrogen bond acceptor, three hydrophobic groups and 19 excluded volumes, with the identification effectiveness index value N of 2. 82 and the comprehensive evaluation index CAI value of 1. 84. The model was used to screen the TCMD database, hit 5,235 kinds of chemical components and 1 193 natural animals and plants, and finally determine 62 TCMs. Through patent retrieval, we found 38 TCMs; After comparing with the virtual screening results, we finally got seven TCMs.
抑制HMG-CoA还原酶的他汀类药物与激活PPAR-α的贝特类药物联合应用,相较于单一应用能产生更好的降脂效果,但同时不良反应更强。在高脂血症治疗中,中药与HMG-CoA还原酶抑制剂联合应用治疗高脂血症疗效稳定且不良反应较少,为药物联合应用提供了新选择。本文利用药效团技术检索中药化学成分,追溯其来源药材,确定可能激活PPAR-α的潜在常用中药。由于现代中医经典中没有高脂血症相关用药参考,为确保所有入选中药的高安全性和有效性,我们在世界传统/天然药物专利数据库中筛选出已被证明可与他汀类药物联用的中药,在此基础上分析药效团结果中的相应药物,最终获得可应用于PPAR-α且能与他汀类药物联用的常用中药。具体而言,药效团模型基于8个PPAR-α受体-配体复合物构建。使用DS程序中的受体-配体药效团生成模块构建模型,通过筛选库模块进行优化,得到最佳子药效团,其由两个氢键受体、三个疏水基团和19个排除体积组成,识别有效性指数值N为2.82,综合评价指数CAI值为1.84。该模型用于筛选中药数据库,命中5235种化学成分和1193种天然动植物,最终确定62种中药。通过专利检索,我们找到38种中药;与虚拟筛选结果比较后,最终得到7种中药。