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个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:化工学院
电子邮箱:yanli@dlut.edu.cn
Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease
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论文类型:期刊论文
发表时间:2013-01-09
发表刊物:JOURNAL OF ETHNOPHARMACOLOGY
收录刊物:SCIE
卷号:145
期号:1
页面范围:1-10
ISSN号:0378-8741
关键字:Radix Curcumae formula; Traditional Chinese medicine; Cardiovascular and cerebrovascular diseases; Oral bioavailability; Network pharmacology
摘要:Ethnopharmacology relevance: Cardiovascular and cerebrovascular diseases (CCVD), an abnormal function of the heart, brain or blood vessels, are the biggest cause of deaths worldwide. Traditional Chinese medicine (TCM) holds a great promise for preventing such diseases in an integrative and holistic way. However, its systems-level characterization of drug-target associations is still unknown.
Methods: Here, we have constructed a computational approach by combining chemical predictors based on chemical structure, chemogenomics data linking compounds with pharmacological information, and a system biology functional data analysis and network reconstruction method.
Results: The pharmacological system generated 58 bioactive ingredients from the Chinese herbal Radix Curcumae formula, and predicted 32 potential targets related to the CCVD. The results indicates that Radix Curcumae share the most common targets with Fructus Gardeniae (15), while less common targets with Moschus and Borneolum (8 and 1, respectively). Further integrated network shows that Radix Curcumae represents the principal component for the prevention of CCVD, and other three medicines serve as adjuvant ones to assist the effects of the principal component, which together probably display synergistic actions.
Conclusions: Our work successfully explains the mechanism of efficiency of Radix Curcumae formula for the prevention of CCVD, and meanwhile, predicts the potential targets of the Chinese medicines, which facilitates to elucidate the compatible mechanism of the complex prescription, i.e., "jun-chen-zuo-shi", and provides basis for an alternative approach to investigate novel TCM formula on the network pharmacology level. (C) 2012 Elsevier Ireland Ltd. All rights reserved.