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1.
Acta Pharmaceutica Sinica ; (12): 1458-1466, 2018.
Article in Chinese | WPRIM | ID: wpr-780020

ABSTRACT

The study was designed to explore the active components and mechanism of Kai Xin San in the treatment of Alzheimer's disease (AD) based on network pharmacology. All targets related to AD were researched in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and Therapeutic Targets Database (TTD). The common targets obtained by two databases were determined as candidate proteins involved in AD. All active components related to Kai Xin San were researched from ADME (absorption, distribution, metabolism and excretion). PharmMapper was used to obtain the primary candidate targets of Kai Xin San. The corresponding gene name of each target protein was obtained from the UniProt database and selected human target proteins. Finally, the target proteins related to AD by Kai Xin San were acquired; Cytoscape 3.5.1 was used to construct the topology analysis for the active ingredient-AD target interaction network of Kai Xin San. According to STRING database and DAVID annotation databases, Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the targets was performed. The network pharmacology analysis results were verified by Discovery Studio molecular docking software. There were 31 components meeting the conditions of ADME and 8 targets relating to AD. Thirteen kinds of biological process, 7 related to molecular function and 11 related to cellar components, were included in 31 GO entries. There were 5 KEGG pathways, involving the calcium signaling pathway and PI3K-Akt signaling pathway. The docking results of Discovery Studio showed that active ingredients of Kai Xin San and the positive controls all have good binding activity with important targets. In conclusion, the Kai Xin San as applied for treating AD has the advantages of multi-components and targets, to investigate the active components and mechanism of Kai Xin San for treating AD based on network pharmacology to eludicate possible studies of the mechanisms of action.

2.
Chinese Pharmacological Bulletin ; (12): 1275-1282, 2018.
Article in Chinese | WPRIM | ID: wpr-705189

ABSTRACT

Aim To explore the therapeutic effects of main active compounds of panaxadiol ( PD ) in on Alzheimer’s disease ( AD) via network pharmacologi-cal analysis and Mmolecular docking. Methods A to-tal of 107 prescriptions for AD treatment were screened by using network pharmacology, screening for the high-est frequency of ginseng and its target for AD. Use mo-lecular docking technology was used to find components with the highest score for non-receptor tyrosine kinase ( FYN) docking. Then we successfully estimatedestab-lished AD cell model with overexpressinged APP pro-teins in vitro. Next,the cell viability was detected by MTT assay,the cell damage was detected by LDH as-say,the apoptosis and intracellular Ca2+concentration were detected by flow cytometry, and phosphorylated FYN protein expression was detected by Western blot detection of . phosphorylated FYN protein expression. Results Eighteen active components of Gginseng and 29 AD-related targets were screened by the method of network pharmacology. The results of molecular doc-king showed that PD had strong binding effects with FYN. The results showed that PD could increase the survival rate of cells,reduce the release of LDH,reduce apoptosis,and improve AD cells’ intracellular Ca2+o-verload and reduce the expression of FYN-Y416 pro-tein. Conclusion The experimental results of network pharmacology were are verified and the protective effect of PD on AD may be related to inhibition of FYN signa-ling pathway.

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