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Mechanism of Kai Xin San in the treatment of Alzheimer's disease based on network pharmacology
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Yue SHI, Ying-jia YAO, Ying LIN, Xi-cai LIANG, Ying-nan NI, Yu-tong WU, Jing-xian YANG*
Acta Pharmaceutica Sinica | 2018, 53(9) : 1458 - 1466
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Acta Pharmaceutica Sinica | 2018, 53(9): 1458-1466
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Mechanism of Kai Xin San in the treatment of Alzheimer's disease based on network pharmacology
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Yue SHI, Ying-jia YAO, Ying LIN, Xi-cai LIANG, Ying-nan NI, Yu-tong WU, Jing-xian YANG*
Affiliations
  • Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
Published: 2018-09-15 doi: 10.16438/j.0513-4870.2018-0474
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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.

Kai Xin San  /  Alzheimer  /  network pharmacology  /  target  /  molecular docking
Yue SHI, Ying-jia YAO, Ying LIN, Xi-cai LIANG, Ying-nan NI, Yu-tong WU, Jing-xian YANG. Mechanism of Kai Xin San in the treatment of Alzheimer's disease based on network pharmacology[J]. Acta Pharmaceutica Sinica, 2018 , 53 (9) : 1458 -1466 . DOI: 10.16438/j.0513-4870.2018-0474
Year 2018 volume 53 Issue 9
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doi: 10.16438/j.0513-4870.2018-0474
  • Receive Date:2018-05-21
  • Online Date:2026-01-15
  • Published:2018-09-15
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  • Received:2018-05-21
  • Revised:2018-06-25
Affiliations
    Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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