A novel strategy of profiling the mechanism of herbal medicines by combining network pharmacology with plasma concentration determination and affinity constant measurement. Issue 11 (1st September 2016)
- Record Type:
- Journal Article
- Title:
- A novel strategy of profiling the mechanism of herbal medicines by combining network pharmacology with plasma concentration determination and affinity constant measurement. Issue 11 (1st September 2016)
- Main Title:
- A novel strategy of profiling the mechanism of herbal medicines by combining network pharmacology with plasma concentration determination and affinity constant measurement
- Authors:
- Chen, Langdong
Lv, Diya
Wang, Dongyao
Chen, Xiaofei
Zhu, Zhenyu
Cao, Yan
Chai, Yifeng - Abstract:
- Abstract : Herbal medicines have long been widely used in the treatment of various complex diseases in China. Abstract : Herbal medicines have long been widely used in the treatment of various complex diseases in China. However, the active constituents and therapeutic mechanisms of many herbal medicines remain undefined. Therefore, the identification of the active components and target proteins in these herbal medicines is a formidable task in herbal medicine research. In this study, we proposed a strategy, which integrates network pharmacology with biomedical analysis and surface plasmon resonance (SPR) to predict the active ingredients and potential targets of herbal medicine Sophora flavescens or Kushen in Chinese, and evaluate its anti-fibrosis activity. First, we applied a virtual HTDocking platform to predict the potential targets of Kushen related to liver fibrosis by selecting five crucial protein targets based on network parameters and text mining. Then, we identified nine components in mice plasma after oral administration of Kushen extract and determined the plasma concentration of each compound. Binding affinities between the nine potential active compounds and five target proteins were detected by SPR assays. Finally, we constructed a multi-parameter network model on the basis of three important parameters to tentatively explain the anti-fibrosis mechanism of Kushen . The results not only provide evidence for the therapeutic mechanism of Kushen but also shed newAbstract : Herbal medicines have long been widely used in the treatment of various complex diseases in China. Abstract : Herbal medicines have long been widely used in the treatment of various complex diseases in China. However, the active constituents and therapeutic mechanisms of many herbal medicines remain undefined. Therefore, the identification of the active components and target proteins in these herbal medicines is a formidable task in herbal medicine research. In this study, we proposed a strategy, which integrates network pharmacology with biomedical analysis and surface plasmon resonance (SPR) to predict the active ingredients and potential targets of herbal medicine Sophora flavescens or Kushen in Chinese, and evaluate its anti-fibrosis activity. First, we applied a virtual HTDocking platform to predict the potential targets of Kushen related to liver fibrosis by selecting five crucial protein targets based on network parameters and text mining. Then, we identified nine components in mice plasma after oral administration of Kushen extract and determined the plasma concentration of each compound. Binding affinities between the nine potential active compounds and five target proteins were detected by SPR assays. Finally, we constructed a multi-parameter network model on the basis of three important parameters to tentatively explain the anti-fibrosis mechanism of Kushen . The results not only provide evidence for the therapeutic mechanism of Kushen but also shed new light on the activity-based analysis of other Chinese herbal medicines. … (more)
- Is Part Of:
- Molecular bioSystems. Volume 12:Issue 11(2016:Nov.)
- Journal:
- Molecular bioSystems
- Issue:
- Volume 12:Issue 11(2016:Nov.)
- Issue Display:
- Volume 12, Issue 11 (2016)
- Year:
- 2016
- Volume:
- 12
- Issue:
- 11
- Issue Sort Value:
- 2016-0012-0011-0000
- Page Start:
- 3347
- Page End:
- 3356
- Publication Date:
- 2016-09-01
- Subjects:
- Molecular biology -- Periodicals
Biochemistry -- Periodicals
571.7405 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/mb/index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c6mb00500d ↗
- Languages:
- English
- ISSNs:
- 1742-206X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.798350
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2122.xml