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沈阳药科大学 医疗器械学院,沈阳 110016
[第一作者] 赵怡,在读硕士,从事药学信息学研究,E-mail:y514229@outlook.com
*项荣武,硕士,教授,从事临床药学、药学信息学研究,E-mail:xrwlove@163.com
纸质出版日期:2020-05-05,
网络出版日期:2019-10-17,
收稿日期:2019-06-16,
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赵怡, 陈美琪, 郝书婷, 等. 基于网络药理学探讨小柴胡汤抗肺癌作用机制[J]. 中国实验方剂学杂志, 2020,26(9):208-214.
Yi ZHAO, Mei-qi CHEN, Shu-ting HAO, et al. Mechanism of Anti-lung Cancer Effect of Xiao Chaihutang Based on Network Pharmacology[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2020,26(9):208-214.
赵怡, 陈美琪, 郝书婷, 等. 基于网络药理学探讨小柴胡汤抗肺癌作用机制[J]. 中国实验方剂学杂志, 2020,26(9):208-214. DOI: 10.13422/j.cnki.syfjx.20200323.
Yi ZHAO, Mei-qi CHEN, Shu-ting HAO, et al. Mechanism of Anti-lung Cancer Effect of Xiao Chaihutang Based on Network Pharmacology[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2020,26(9):208-214. DOI: 10.13422/j.cnki.syfjx.20200323.
目的:
2
运用网络药理学方法构建小柴胡汤多成分-多靶点-多通路的相互作用网络,探究其抗肺癌的作用机制。
方法:
2
利用中药系统药理数据库和分析平台(TCMSP)中药分子机制综合数据库(TCMID)和文献获取小柴胡汤的有效活性成分;运用PharmMapper的反向药效团匹配方法对潜在靶标进行预测,利用自开发软件TCMKD1.0进行“肘点法”筛选优化,通过检索药物靶标数据库(TTD),人类孟德尔遗传数据库(OMIM),GeneCards等数据库及查阅文献筛选出肺癌相关靶点;进而构建化合物-靶点网络、蛋白互作(PPI)网络、靶点-通路网络;通过STRING数据库进行靶点信息的注释;通过Cytoscape 3.6软件构建小柴胡汤成分-靶点-通路网络。
结果:
2
得到小柴胡汤中162个有效活性成分,涉及71个抗肺癌靶点和11个相关通路;拓扑网络分析后得到槲皮素(quercetin),人参皂苷Rh
2
(ginsenosideRh
2
),芒柄花黄素(formononetin),
β
-谷甾醇(
β
-sitosterol)等96个重要成分,表皮生长因子受体(EGFR),血管内皮生长因子(KDR),半胱氨酸蛋白酶-3(Caspase-3),丝裂原活化蛋白激酶(MAPK1),肝细胞生长因子(MET)等28个关键靶点,非小细胞肺癌(non-small cell lung cancer),小细胞肺癌(small cell lung cancer),ErbB信号通路(ErbB signaling pathway),VEGF信号通路(VEGF signaling pathway)等61条核心通路。
结论:
2
研究结果表明小柴胡汤抗肺癌的活性成分可能是槲皮素,人参皂苷Rh
2
,6-姜烯酚,芒柄花黄素,
β
-谷甾醇等,其作用机制可能与ErbB signaling pathway,MAPK signaling pathway,VEGF signaling pathway等通路有关,该研究为深入阐述小柴胡汤抗肺癌作用机制提供依据。
Objective:
2
To predict the action targets of anti-lung cancer active ingredients of Xiao Chaihutang
in order to explore the " multi-components
multi-targets and multi-pathways" mechanism using network pharmacology.
Method:
2
The active ingredients of Xiao Chaihutang that obtained through Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)
traditional Chinese medicine integrative database for herb molecular mechanism analysis(TCMID) and literature were used to predict the targets by the reversed pharmacophore matching method.To screen out optimization targets
we chose elbow point analysis by using self-developed software TCMKD1.0
and screened out lung cancer-related targets by searching databases
such as Therapeutic Target Database (TTD)
Online Mendelian Inheritance in Man(OMIM) and GeneCards
and reviewing literatures.Then components-target network
protein-protein interaction network and targets-pathways network were constructed.The pathway information was acquired with STRING.The Cytoscape 3.6 software was used to construct the ingredients-targets-pathways network of Xiao Chaihutang.
Result:
2
The 162 active components in Xiao Chaihutang were obtained
involving 71 anti-lung cancer targets and 11 related pathways.Through topological network analysis
96 important components
such as quercetin
ginsenosideRh
2
formononetin and
β
-sitosterol were obtained
28 key targets
such as epidermal growth factor receptor (EGFR)
vascular endothelial growth factor (KDR)
cysteine protease-3 (Caspase-3)
mitogen-activated protein kinase1(MAPK1)
hepatocyte growth factor (MET) were received
and 61 core pathways
such as non-small cell lung cancer
small cell lung cancer
ErbB signaling pathway
VEGF signaling pathway were acquired.
Conclusion:
2
The result suggests that the active components of Xiao Chaihutang against lung cancer may include quercetin
ginsenoside Rh
2
6-shogaol
formononetin
β
-sitosterol.And the mechanism may be related to ErbB signaling pathway
MAPK signaling pathway and VEGF signaling pathway.This research provides a scientific basis for further elucidation of the anti-lung cancer pharmacological mechanism of Xiao Chaihutang.
网络药理学小柴胡汤肺癌作用机制肘点法
network pharmacologyXiao Chaihutanglung cancermechanismelbow point analysis
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