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山东中医药大学,济南 250355
刘雨晴,在读硕士,从事肺癌及肺间质病的中西医结合诊断与治疗研究,E-mail:574497604@qq.com
郑心,博士,主任医师,从事肺癌及肺间质病的中西医结合诊断与治疗研究,E-mail:15698007328@163.com
纸质出版日期:2019-12-20,
网络出版日期:2019-06-27,
收稿日期:2019-02-27,
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刘雨晴, 王爱帅, 蒋珊, 等. 基于网络药理学探讨夏枯草对非小细胞肺癌的作用机制[J]. 中国实验方剂学杂志, 2019,25(24):159-165.
Yu-qing LIU, Ai-shuai WANG, Shan JIANG, et al. Mechanism of Prunellae Spica on Non-small Cell Lung Cancer Based on Network Pharmacology[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2019,25(24):159-165.
刘雨晴, 王爱帅, 蒋珊, 等. 基于网络药理学探讨夏枯草对非小细胞肺癌的作用机制[J]. 中国实验方剂学杂志, 2019,25(24):159-165. DOI: 10.13422/j.cnki.syfjx.20192024.
Yu-qing LIU, Ai-shuai WANG, Shan JIANG, et al. Mechanism of Prunellae Spica on Non-small Cell Lung Cancer Based on Network Pharmacology[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2019,25(24):159-165. DOI: 10.13422/j.cnki.syfjx.20192024.
目的:
2
基于网络药理学方法,探讨夏枯草治疗非小细胞肺癌的作用机制,阐述其科学内涵。
方法:
2
检索中草药系统药理学平台(TCMSP)获取夏枯草有效活性成分与作用靶点;检索疾病-基因组合数据库(DisGeNET)获取非小细胞肺癌相关疾病靶点;构建“药物-成分-疾病-靶点”网络,分析其作用机制;构建关键靶点蛋白质相互作用(PPI)网络,对关键靶点进行基因本体(GO)分类富集分析与京都基因与基因组百科全书(KEGG) 通路富集分析。
结果:
2
从TCMSP中获取有效活性成分11种,靶点178个;从DisGeNET数据库获取非小细胞肺癌相关基因2 019个;构建“药物-成分-疾病-靶点”网络,获得夏枯草治疗非小细胞肺癌的关键靶点114个;构建其PPI网络,包含节点114个,边1 952条。分析PPI网络,度值较高即夏枯草治疗非小细胞肺癌的关键靶点包括蛋白激酶B1(Akt1),血管内皮生长因子(VEGFA),半胱天冬酶-3(Caspase-3),白细胞介素(IL)-6,JUN,丝裂原活化蛋白激酶(MAPK)8,原癌基因蛋白(MYC),表皮生长因子受体(EGFR)等。对其进行生物学过程富集分析,显示涉及152种生物学过程,其中细胞增殖,细胞分裂,细胞凋亡等多种与癌症相关;KEGG富集涉及147条信号通路,其中磷脂酰肌醇-3激酶(PI3K)/Akt通路,核转录因子(NF)-
κ
B通路,低氧诱导因子-1(HIF-1)通路,p53信号通路,EGFR信号通路等对非小细胞肺癌的发生、发展、侵袭、转移有着关键性作用是公认的。
结论:
2
本研究初步验证了夏枯草治疗NSCLC的基本药理学作用与机制,为进一步探究其作用机制奠定基础。
Objective:
2
To explore the mechanism of Prunellae Spice in the treatment of non-small cell lung cancer (NSCLC) based on the network pharmacological method
in order to elaborate its scientific connotation.
Method:
2
The active ingredients and targets of Prunellae Spice were obtained through retrieval of the Traditional Chinese Medicine Integrated Database (TCMSP)
the disease-genome association database (DisGeNET) was searched to obtain the disease targets relating to non-small cell lung cancer
and the drug-component-disease-target network was constructed. The mechanism of action was analyzed. The key target protein-protein interaction (PPI) network was constructed. The gene ontology (GO) classification and enrichment analysis of key targets and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were carried out.
Result:
2
Totally 11 active ingredients and 178 targets were obtained from TCMSP
2019 genes relating to non-small cell lung cancer were obtained from DisGeNET database
114 key targets for Prunellae Spice to treat non-small cell lung cancer were obtained from drug-component-disease-target network
and 114 PPI networks were constructed
including 114 nodes and 1 952 edges. According to the analysis of PPI network
the key targets of Prunella vulgaris in the treatment of non-small cell lung cancer included protein kinase B (Akt)1
vascular endothelial growth factor(VEGFA)
Caspase-3
interleukin(IL)-6
JUN
mitogen-activated protein kinases(MAPK)8
MYC
epithelial growth factor receptor(EGFR). The enrichment of KEGG involved 152 biological processes
including cell proliferation
cell division
cell apoptosis. KEGG enrichment involved 147 signaling pathways. phosphoinositide 3-kinase (PI3K)/Akt pathway
NF-kappa B pathway
hypoxia inducible factor-1 (HIF-1) pathway
p53 signaling pathway and EGFR signaling pathway played key roles in the occurrence
development
invasion and metastasis of non-small cell lung cancer.
Conclusion:
2
This study preliminarily verified the basic pharmacological effect and mechanisms of Prunellae Spice on NSCLC
and laid a foundation for further exploring its mechanisms.
夏枯草非小细胞肺癌网络药理学活性成分作用机制
Prunellae Spicenon-small cell lung cancernetwork pharmacologyactive ingredientsmechanism of action
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