宋小兰, 王丽萍, 赵宁娟, 李建慧, 杨璐, 王诺, 康文利, 王小忠, 张伟, 武全香. 基于气相色谱-质谱和网络药理学探讨紫斑罂粟壳挥发油镇咳祛痰平喘的作用机制[J]. 分析测试技术与仪器, 2022, 28(3): 343-352. DOI: 10.16495/j.1006-3757.2022.03.018
引用本文: 宋小兰, 王丽萍, 赵宁娟, 李建慧, 杨璐, 王诺, 康文利, 王小忠, 张伟, 武全香. 基于气相色谱-质谱和网络药理学探讨紫斑罂粟壳挥发油镇咳祛痰平喘的作用机制[J]. 分析测试技术与仪器, 2022, 28(3): 343-352. DOI: 10.16495/j.1006-3757.2022.03.018
SONG Xiao-lan, WANG Li-ping, ZHAO Ning-juan, LI Jian-hui, YANG Lu, WANG Nuo, KANG Wen-li, WANG Xiao-zhong, ZHANG Wei, WU Quan-xiang. Study on Mechanism of Volatile Oil from Papaver Somniferum sp. Hydbr. Ziban for Anti-cough, Expectorant, and Asthma by Gas Chromatography-Mass Spectrometry and Network Pharmacology[J]. Analysis and Testing Technology and Instruments, 2022, 28(3): 343-352. DOI: 10.16495/j.1006-3757.2022.03.018
Citation: SONG Xiao-lan, WANG Li-ping, ZHAO Ning-juan, LI Jian-hui, YANG Lu, WANG Nuo, KANG Wen-li, WANG Xiao-zhong, ZHANG Wei, WU Quan-xiang. Study on Mechanism of Volatile Oil from Papaver Somniferum sp. Hydbr. Ziban for Anti-cough, Expectorant, and Asthma by Gas Chromatography-Mass Spectrometry and Network Pharmacology[J]. Analysis and Testing Technology and Instruments, 2022, 28(3): 343-352. DOI: 10.16495/j.1006-3757.2022.03.018

基于气相色谱-质谱和网络药理学探讨紫斑罂粟壳挥发油镇咳祛痰平喘的作用机制

Study on Mechanism of Volatile Oil from Papaver Somniferum sp. Hydbr. Ziban for Anti-cough, Expectorant, and Asthma by Gas Chromatography-Mass Spectrometry and Network Pharmacology

  • 摘要: 为研究紫斑罂粟壳挥发油镇咳化痰平喘的活性成分及作用机制,采用气相色谱-质谱(GC-MS)联用法分析罂粟壳挥发油成分,并结合Pubchem和Swiss Target Prediction数据库筛选活性成分靶点. 其中,在GeneCards数据库中检索镇咳、祛痰、平喘相关的靶点,利用在线Venn取交集基因,Cytoscap 3.7.1软件构建成分-靶点-疾病网络图筛选关键成分,String数据库构建蛋白互作网络筛选核心作用靶点,DAVID数据库进行GO功能和KEGG通路富集分析. 结果表明,GC-MS鉴别出紫斑罂粟壳挥发油中28个化学成分,虚拟筛选获得20个活性成分对应的259个靶点. 网络药理学预测紫斑罂粟壳挥发油通过肿瘤坏死因子(TNF)、磷酸化蛋白激酶(AKT1)、SRC蛋白激酶(SRC)、表皮生长因子受体(EGFR)和丝裂原活化蛋白激酶 1(MAPK1)等关键靶点,进而协同调控肿瘤通路,神经配体-受体相互作用、PI3K-Akt信号通路等多条信号通路发挥镇咳祛痰、平喘的治疗作用. 研究为后续试验研究罂粟壳挥发油的药效物质及作用机制提供参考.

     

    Abstract: In order to study the components and mechanism of volatile oil from Papaver somniferum sp. hydbr. Ziban for anti-cough, expectorant, and asthma, the components of volatile oil from Papaver somniferum sp. hydbr. Ziban has been analyzed by the gas chromatography-mass spectrometry (GC-MS), and the active ingredient targets have been screened by Pubchem and Swiss Target Prediction database. The disease targets related to anti-cough, expectorant, and asthma were searched in the GeneCards database. The intersection genes were extracted by the online Venn. The component-target-disease network graph was built using a Cytoscap 3.7.1 software to screen the key components. The protein interaction network was constructed by a String database to screen the core targets. The enrichment analysis of Gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway was achieved by the DAVID database. The results showed that twenty-eight chemical components were identified by GC-MS, and 259 targets corresponding to 20 active components were obtained by the virtual screening. Through the network pharmacology the essential oil of Papaver somniferum sp. hydbr. Ziban plays a therapeutic role for anti-cough, expectorant, and asthma through the key targets such as tumor necrosis factor (TNF), serine/threonine-protein kinase (AKT1), tyrosine-protein kinase (SRC), epidermal growth factor receptor (EGFR) and MAP kinase 1 (MAPK1), and then synergistically regulates tumor pathways, neural ligand-receptor interaction, PI3K-Akt signaling pathway and other pathways is predicted. The study provides a reference and guidance for the further study on the mechanism and the volatile oil from Papaver somniferum sp. hydbr. Ziban in the treatment of disease of respiratory system.

     

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