title: A network pharmacology approach to understanding the mechanisms of action of traditional medicine: Bushenhuoxue formula for treatment of chronic kidney disease.
abstract: Traditional Chinese medicine (TCM) has unique therapeutic effects for complex chronic diseases. However, for the lack of an effective systematic approach, the research progress on the effective substances and pharmacological mechanism of action has been very slow. In this paper, by incorporating network biology, bioinformatics and chemoinformatics methods, an integrated approach was proposed to systematically investigate and explain the pharmacological mechanism of action and effective substances of TCM. This approach includes the following main steps: First, based on the known drug targets, network biology was used to screen out putative drug targets; Second, the molecular docking method was used to calculate whether the molecules from TCM and drug targets related to chronic kidney diseases (CKD) interact or not; Third, according to the result of molecular docking, natural product-target network, main component-target network and compound-target network were constructed; Finally, through analysis of network characteristics and literature mining, potential effective multi-components and their synergistic mechanism were putatively identified and uncovered. Bu-shen-Huo-xue formula (BSHX) which was frequently used for treating CKD, was used as the case to demonstrate reliability of our proposed approach. The results show that BSHX has the therapeutic effect by using multi-channel network regulation, such as regulating the coagulation and fibrinolytic balance, and the expression of inflammatory factors, inhibiting abnormal ECM accumulation. Tanshinone IIA, rhein, curcumin, calycosin and quercetin may be potential effective ingredients of BSHX. This research shows that the integration approach can be an effective means for discovering active substances and revealing their pharmacological mechanisms of TCM.
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Shao-hua
authors.initials: SH
authors.lastname: Shi
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Yue-piao
authors.initials: YP
authors.lastname: Cai
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Xiao-jun
authors.initials: XJ
authors.lastname: Cai
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Xiao-yong
authors.initials: XY
authors.lastname: Zheng
authors.affiliation: School of Pharmaceutical Sciences, Central South University, Changsha, China.
authors.forename: Dong-sheng
authors.initials: DS
authors.lastname: Cao
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Fa-qing
authors.initials: FQ
authors.lastname: Ye
authors.affiliation: School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Xiang
mesh_terms: D019295:Computational Biology; D004365:Drugs, Chinese Herbal / Q000737:chemistry / Q000494:pharmacology / Q000627:therapeutic use*; D006801:Humans; D008516:Medicine, Chinese Traditional; D062105:Molecular Docking Simulation; D060066:Protein Interaction Maps; D051436:Renal Insufficiency, Chronic / Q000188:drug therapy*
chemical_list: D004365:Drugs, Chinese Herbal; C527851:bushen huoxue