湖北农业科学 ›› 2023, Vol. 62 ›› Issue (11): 84-91.doi: 10.14088/j.cnki.issn0439-8114.2023.11.015

• 园艺·特产 • 上一篇    下一篇

基于GC-MS和网络药理学探究茉莉花根挥发油镇静安神作用

陈睿1,2, 潘小芳1, 杨楠2, 霍丽妮1, 陈姎玲1, 梁天坚2   

  1. 1.广西中医药大学药学院,南宁 530001;
    2.广西中医药大学赛恩斯新医药学院,南宁 530222
  • 收稿日期:2022-05-23 出版日期:2023-11-25 发布日期:2023-12-25
  • 通讯作者: 梁天坚,教授,硕士,主要从事中医基础理论研究,(电话)1307813348(电子信箱)593596134@qq.com。
  • 作者简介:陈 睿(1980-),男,广西隆安人,教授,博士,主要从事药物生物活性及构效关系研究,(电话)19907716887(电子信箱)58251323@qq.com。
  • 基金资助:
    广西自然科学基金面上项目(2017JJA10613); 广西中青年教师基础能力提升项目(KY2016YB830); 大学生创新课题(201913643001; 201913643035; 201913643003); 广西中药大学赛恩斯新医药学院课题(2019ZD01); 2020年大学生创新创业训练项目(202013643003):广西一流学科建设项目(2018XK048)

The sedation and hypnosis effect of volatile oil from the root of Jasminum sambac based on the GC-MS and network pharmacology

CHEN Rui1,2, PAN Xiao-fang1, YANG Nan2, HUO Li-ni1, CHEN Yang-ling1, LIANG Tian Jian2   

  1. 1. College of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530001, China;
    2. Faculty of Chinese Medicine Science, Guangxi University of Chinese Medicine, Nanning 530222, China
  • Received:2022-05-23 Online:2023-11-25 Published:2023-12-25

摘要: 基于GC-MS(气相色谱质谱联用仪,Gaschromatography-mass spectrometry)和网络药理学探究茉莉花(Jasminum sambac)根挥发油镇静安神的作用机制。利用GC-MS技术分析茉莉花根挥发油成分;借助TCMSP、Swiss Target Prediction等数据库筛选出潜在靶点,再通过CTD(http://ctdbase.org/)数据库查询“insomnia”的相关靶点;利用Venny作图软件(https://bioinfogp.cnb.csic.es/tools/venny/index.html)取交集靶点,利用STRING数据库(https://string-db.org/cgi/input.pl)构建蛋白互作网络(Protein-protein interaction network,PPI),筛选核心作用靶点;利用Cytoscape 3.7.2软件绘制活性成分-靶点-通路网络图,经GO注释和KEGG富集分析预测主要靶点及信号通路;最后,利用分子对接软件SYBYL对主要活性成分与其核心靶点进行对接验证。结果表明,从茉莉花根中共鉴定23个化合物,筛选出12个活性成分,77个靶点。主要作用于CYP19A1、NCOA2、PTGS1、AR、SLC6A2、CA1等多个靶点,影响神经活性配体受体相互作用、癌症通路等多条信号通路,从而发挥作用。分子对接结果显示,大部分活性成分与其核心靶点结合性能较好,主要通过疏水键和氢键相互作用。

关键词: 茉莉花(Jasminum sambac), 根, 挥发油, GC-MS(气相色谱质谱联用仪), 网络药理学, 镇静安神作用

Abstract: The mechanism of sedation and hypnosis effect of volatile oil from the root of Jasminum sambac based on the GC-MS and network pharmacology was explored. The volatile oil components in the roots of Jasminum sambac were analyzed using GC-MS technology; potential targets were screened using databases such as TCMSP and Swiss Target Prediction, and relevant targets of “insomnia” were queried using the CTD (http://ctdbase.org/) database; intersection targets were obtained using the Venny mapping software(https://bioinfogp.cnb.csic.es/tools/Venny/index.html), and a protein-protein interaction network (PPI) was constructed using the STRING database (https://string-db.org/cgi/input.pl) to screen core targets of action; an active ingredient-target-pathway network diagram was created using Cytoscape 3.7.2 software, and main targets and signaling pathways were predicted through GO annotation and KEGG enrichment analysis; finally, the docking between the main active ingredients and their core targets was verified using the molecular docking software SYBYL. The results showed that a total of 23 compounds were identified from the roots of Jasminum sambac, and 12 active components and 77 targets were screened. It mainly acted on multiple targets such as CYP19A1, NCOA2, PTGS1, AR, SLC6A2 and CA1, and affected multiple signaling pathways such as neuroactive ligand receptor interactions and cancer pathways, thereby exerting its effects. The molecular docking results showed that most active ingredients had good binding performance with their core targets, mainly interacting through hydrophobic bonds and hydrogen bonds.

Key words: Jasminum sambac, root, volatile oil, gaschromatography-mass spectrometry(GC-MS), network pharmacology, the sedation and hypnosis effect

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