| 引用本文: | 唐宇恒1,陈 琦1,江友娅2,高 雪1.基于网络药理学与 GC-MS 探讨竹叶花椒挥发油干预高脂血症的作用机制(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2024，41（3）：33-42 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 基于气相色谱-质谱联用结合网络药理学方法,探讨竹叶花椒挥发油干预高脂血症的活性成分及作用
机制,为竹叶花椒挥发油中功能性成分研究及其干预高脂血症的作用机制提供理论基础。 方法 首先通过 GC-MS
鉴定竹叶花椒挥发油的化学成分,再借助数据库获取化学成分对应靶点和高脂血症疾病靶点。 又通过 Venn 图、蛋
白-蛋白相互作用分析、GO 分析、KEGG 代谢通路富集分析和构建“靶点-通路-活性成分”网络得到竹叶花椒挥发
油干预高脂血症的关键靶点。 最后采用分子对接软件 AutoDock 对竹叶花椒挥发油主要活性化合物与关键靶点进
行半柔性对接验证。 结果 在竹叶花椒挥发油中鉴定出 29 个化学成分,得到 37 个干预高脂血症的核心靶点,该核
心靶点涉及细胞对脂质的反应、脂质的定位调节和对脂多糖的反应等方面。 KEGG 富集分析与“靶点-通路-活性
成分”网络进一步得到 PPARA、RXRA、TNF、NR1H3、PPARG 和 IL-6 等 28 个关键靶点,也得到金合欢醇、亚油酸和
α-石竹烯等 7 个主要活性成分。 分子对接结果表明关键靶点与主要活性成分有较好的结合能力,结合能均小于-
7. 0 kJ/ mol。 结论 竹叶花椒挥发油中的多种功能性成分可能通过作用关键靶点 PPARA、RXRA、TNF、NR1H3、
PPARG 和 IL-6 以起到干预高脂血症的作用。 本研究探讨了竹叶花椒挥发油干预高脂血症的作用机制,期望为竹
叶花椒挥发油中功能性成分的进一步研究提供理论支撑。 |
| 关键词: 竹叶花椒挥发油 网络药理学 气相色谱-质谱联用 高脂血症 |
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| Investigation of the Mechanism of Volatile Oil from Zanthoxylum Armatum DC. in Intervening HyperlipidemiaBased on Network Pharmacology and GC-MS |
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TANG Yuheng1，CHEN Qi1，JIANG Youya2， GAO Xue1
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1. School of Environmental and Resources Chongqing Technology and Business University Chongqing 400067 China
2. Chongqing Tianyou Dairy Co. Ltd. Chongqing 401120 China
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| Abstract: |
| Objective Based on gas chromatography-mass spectrometry GC-MS combined with network pharmacology
methods this study explored the active ingredients and mechanisms of the volatile oil from Zanthoxylum armatum DC. in
intervening hyperlipidemia providing a theoretical basis for the research on functional components in the volatile oil from
Zanthoxylum armatum DC. and its intervention mechanism in hyperlipidemia. Methods Initially the chemical
components of the volatile oil from Zanthoxylum armatum DC. were identified by GC-MS and then the corresponding
targets of the chemical components and the disease targets of hyperlipidemia were obtained through databases. The key
targets of the volatile oil from Zanthoxylum armatum DC. in intervening hyperlipidemia were obtained through Venn
diagram protein-protein interaction analysis GO analysis KEGG metabolic pathway enrichment analysis and construction of the ?? target-pathway-active ingredient network. Finally the molecular docking software AutoDock was
used to validate the semi-flexible docking of the main active compounds from the volatile oil from Zanthoxylum armatum
DC. with the key targets. Results 29 chemical components were identified in the volatile oil from Zanthoxylum armatum
DC. obtaining 37 core targets for intervening hyperlipidemia which are involved in cellular responses to lipids lipid
localization regulation and responses to lipopolysaccharides. Through KEGG enrichment analysis and the ??target-pathwayactive ingredient network 28 key targets including PPARA RXRA TNF NR1H3 PPARG and IL-6 as well as
7 main active ingredients such as farnesol linoleic acid and α-caryophyllene were obtained. The molecular docking
results showed that the key targets had good binding abilities with the main active ingredients with binding energies all less
than -7. 0 kJ/ mol. Conclusion Various functional components in the volatile oil from Zanthoxylum armatum DC. may
intervene hyperlipidemia by acting on key targets such as PPARA RXRA TNF NR1H3 PPARG and IL-6. This study
explores the mechanism of the volatile oil from Zanthoxylum armatum DC. in intervening hyperlipidemia aiming to provide
theoretical support for further research on the functional components in the volatile oil from Zanthoxylum armatum DC. |
| Key words: volatile oil from Zanthoxylum armatum DC. network pharmacology gas chromatography-mass spectrometry
hyperlipidemia |
