Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease. (1st January 2020)
- Record Type:
- Journal Article
- Title:
- Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease. (1st January 2020)
- Main Title:
- Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease
- Authors:
- Yi, Pengji
Zhang, Zheyu
Huang, Siqi
Huang, Jiahua
Peng, Weijun
Yang, Jingjing - Abstract:
- Abstract: Context: Kai-Xin-San (KXS) has been used to treat Alzheimer's disease (AD) for thousands of years. However, no quantitative data regarding AD treatment using KXS are available. Moreover, its active compounds and mechanism of action for the treatment of AD remain largely unclear. Objectives: To evaluate the efficacy and the potential pharmacological mechanisms of KXS in AD treatment. Materials and methods: A systematic collection of KXS experiments was conducted from PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang Data up to February, 2020. Review Manager 5 software was used for meta-analysis. In network pharmacology, components of KXS were screened, AD-related genes were then identified and the 'component-target-pathway' network constructed. Molecular docking was finally employed for in silico simulation matching between representative KXS compounds and their target genes. Results: Meta-analysis revealed that KXS improves the cognitive benefits in AD models by reducing the time of escape latency (SMD = −16.84) as well as increasing the number of cross-platform (SMD = 2.56) and proportion of time in the target quadrant (SMD = 7.52). Network pharmacology identified 25 KXS active compounds and 44 genes targets. DRD2, MAOA, ACHE, ADRA2A and CHRM2 were core target proteins. Besides, 22 potential pathways of KXS were identified, like cholinergic synapses, the cGMP/PKG pathway and calcium signalling. Molecular docking showed that stigmasterol, aposcopolamine andAbstract: Context: Kai-Xin-San (KXS) has been used to treat Alzheimer's disease (AD) for thousands of years. However, no quantitative data regarding AD treatment using KXS are available. Moreover, its active compounds and mechanism of action for the treatment of AD remain largely unclear. Objectives: To evaluate the efficacy and the potential pharmacological mechanisms of KXS in AD treatment. Materials and methods: A systematic collection of KXS experiments was conducted from PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang Data up to February, 2020. Review Manager 5 software was used for meta-analysis. In network pharmacology, components of KXS were screened, AD-related genes were then identified and the 'component-target-pathway' network constructed. Molecular docking was finally employed for in silico simulation matching between representative KXS compounds and their target genes. Results: Meta-analysis revealed that KXS improves the cognitive benefits in AD models by reducing the time of escape latency (SMD = −16.84) as well as increasing the number of cross-platform (SMD = 2.56) and proportion of time in the target quadrant (SMD = 7.52). Network pharmacology identified 25 KXS active compounds and 44 genes targets. DRD2, MAOA, ACHE, ADRA2A and CHRM2 were core target proteins. Besides, 22 potential pathways of KXS were identified, like cholinergic synapses, the cGMP/PKG pathway and calcium signalling. Molecular docking showed that stigmasterol, aposcopolamine and inermin can closely bind three targets (ACHE, ADRA2A and CHRM2). Discussion and conclusion: These findings suggest that KXS exerts effect on AD through multi-target, multi-component and multi-pathway mechanism. Future studies may explore the active components of KXS. … (more)
- Is Part Of:
- Pharmaceutical biology. Volume 58:Number 1(2020)
- Journal:
- Pharmaceutical biology
- Issue:
- Volume 58:Number 1(2020)
- Issue Display:
- Volume 58, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 58
- Issue:
- 1
- Issue Sort Value:
- 2020-0058-0001-0000
- Page Start:
- 932
- Page End:
- 943
- Publication Date:
- 2020-01-01
- Subjects:
- Traditional Chinese medicine formula -- dementia -- pharmacological network -- molecular docking technology
Pharmacognosy -- Periodicals
Materia medica, Vegetable -- Periodicals
615.321 - Journal URLs:
- http://www.tandfonline.com/toc/iphb20/current ↗
http://informahealthcare.com/journal/phb ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/13880209.2020.1817103 ↗
- Languages:
- English
- ISSNs:
- 1388-0209
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6442.767000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22163.xml