Design of new traditional Chinese medicine herbal formulae for treatment of type 2 diabetes mellitus based on network pharmacology

被引:76
作者
Hu Rui-Feng [1 ,2 ,3 ,4 ]
Sun Xiao-Bo [1 ,2 ,3 ,4 ]
机构
[1] Peking Union Med Coll, Inst Med Plant Dev, Beijing Key Lab Innovat Drug Discovery Tradit Chi, Beijing 100193, Peoples R China
[2] Chinese Acad Med Sci, Beijing 100193, Peoples R China
[3] Minist Educ, Key Lab Bioact Subst & Resource Utilizat Chinese, Beijing 100193, Peoples R China
[4] Zhongguancun Open Lab Res & Dev Nat Med & Hlth Pr, Beijing 100193, Peoples R China
关键词
Network pharmacology; TCM formulae; Protein-protein interaction network; Type 2 diabetes mellitus; Nework intervention; DRUG DISCOVERY; SYSTEMS PHARMACOLOGY; PROTEOMICS; DECOCTION;
D O I
10.1016/S1875-5364(17)30065-1
中图分类号
R [医药、卫生];
学科分类号
100218 [急诊医学];
摘要
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.
引用
收藏
页码:436 / 441
页数:6
相关论文
共 32 条
[1]
Azmi Asfar S, 2013, Curr Drug Discov Technol, V10, P95
[2]
Network medicine: a network-based approach to human disease [J].
Barabasi, Albert-Laszlo ;
Gulbahce, Natali ;
Loscalzo, Joseph .
NATURE REVIEWS GENETICS, 2011, 12 (01) :56-68
[3]
Chu ZH, 2009, PROG MOD BIOMED, V9, P1098
[4]
Analyzing the Chinese landscape in anti-diabetic drug research: leading knowledge production institutions and thematic communities [J].
Deng, Junling ;
Sitou, Kaweng ;
Zhang, Yongping ;
Yan, Ru ;
Hu, Yuanjia .
CHINESE MEDICINE, 2016, 11
[5]
Ding F, 2014, PLOS ONE, V10
[6]
Du Wei, 2010, Journal of Xi'an Jiaotong University, V44, P93
[7]
Fan Xiao-hui, 2015, Zhongguo Zhong Yao Za Zhi, V40, P2634
[8]
Fan Xiao-Hui, 2015, Zhongguo Zhong Yao Za Zhi, V40, P1
[9]
Integrating 'omic' information: a bridge between genomics and systems biology [J].
Ge, H ;
Walhout, AJM ;
Vidal, M .
TRENDS IN GENETICS, 2003, 19 (10) :551-560
[10]
Network pharmacology: the next paradigm in drug discovery [J].
Hopkins, Andrew L. .
NATURE CHEMICAL BIOLOGY, 2008, 4 (11) :682-690