Hu Rui-Feng, Sun Xiao-Bo
Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China; Key Laboratory of Bioactive Substances and Resource Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China; Zhongguancun Open Laboratory of the Research and Development of Natural Medicine and Health Products, Beijing 100193, China.
Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China; Key Laboratory of Bioactive Substances and Resource Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China; Zhongguancun Open Laboratory of the Research and Development of Natural Medicine and Health Products, Beijing 100193, China.
Chin J Nat Med. 2017 Jun;15(6):436-441. doi: 10.1016/S1875-5364(17)30065-1.
In the present study, 28 Chinese medicinal herbs belonging to traditional Chinese medicine (TCM) for the treatment of type 2 diabetes were selected to explore the application of network pharmacology in developing new Chinese herbal medicine formulae for the treatment of type 2 diabetes mellitus (T2DM). These herbs have the highest appearance rate in the literature, and their compounds are listed. The human protein-protein interaction network and the T2DM disease protein interaction network were constructed. Then, the related algorithm for network topology was used to perform interventions on the interaction network of disease proteins and normal human proteins to test different Chinese herbal medicine compound combinations, according to the information on the interaction of compounds-targets in two databases, namely TarNet and the Medicinal Plants Database. Results of the intervention scores indicate that the method proposed in this study can provide new effective combinations of Chinese herbal medicines for T2DM. Network pharmacology can effectively promote the modernization and development of TCM.
在本研究中,选取了28种用于治疗2型糖尿病的传统中药,以探索网络药理学在开发治疗2型糖尿病(T2DM)的新型中药配方中的应用。这些草药在文献中的出现率最高,并列出了它们的化合物。构建了人类蛋白质-蛋白质相互作用网络和T2DM疾病蛋白质相互作用网络。然后,根据TarNet和药用植物数据库这两个数据库中化合物-靶点相互作用的信息,使用网络拓扑相关算法对疾病蛋白质和正常人类蛋白质的相互作用网络进行干预,以测试不同的中药复方组合。干预评分结果表明,本研究提出的方法可为T2DM提供新的有效中药组合。网络药理学可有效促进中医药的现代化和发展。