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基于UPLC-Q-TOF-MS结合网络药理学的黄褐毛忍冬保肝活性成分及其潜在靶点研究
引用本文:刘畅,刘雄伟,丁晶鑫,李嘉欣,尹志刚,周英. 基于UPLC-Q-TOF-MS结合网络药理学的黄褐毛忍冬保肝活性成分及其潜在靶点研究[J]. 江苏大学学报(医学版), 2021, 31(1): 73-82. DOI: 10.13312/j.issn.1671-7783.y200180
作者姓名:刘畅  刘雄伟  丁晶鑫  李嘉欣  尹志刚  周英
作者单位:(1. 贵州中医药大学药学院, 贵州 贵阳 550025; 2. 贵州大学生命科学学院, 贵州 贵阳 550025; 3. 贵州省药食同源植物资源开发工程技术研究中心, 贵州 贵阳 550025)
基金项目:贵州省高层次创新型人才培养项目[黔科合人才(2015)4032号;贵州省科技计划项目[黔科合(2016)支撑2909
摘    要:目的:系统研究黄褐毛忍冬的主要化学成分,基于网络药理学探讨其保肝活性成分,为其药效物质研究提供一定的参考依据.方法:利用超高效液相色谱飞行时间质谱联用技术(UPLC-Q-TOF-MS)对黄褐毛忍冬的主要化学成分进行分析,根据化合物的一级、二级质谱信息,并与标准品或参考文献进行比对,对黄褐毛忍冬的化学信息进行快速识别,利...

关 键 词:黄褐毛忍冬  保肝  超高液相色谱飞行时间质谱联用技术  网络药理学  化学成分  靶点  通路
收稿时间:2020-09-23

Chemical composition identification of hepatoprotection and potential targets by L.fulvotomentosa Hsu et S.C.Cheng based on integrated UPLC-Q-TOF-MS and network pharmacology
LIU Chang,LIU Xiongwei,DING Jingxin,LI Jiaxin,YIN Zhigang,ZHOU Ying. Chemical composition identification of hepatoprotection and potential targets by L.fulvotomentosa Hsu et S.C.Cheng based on integrated UPLC-Q-TOF-MS and network pharmacology[J]. Journal of Jiangsu University Medicine Edition, 2021, 31(1): 73-82. DOI: 10.13312/j.issn.1671-7783.y200180
Authors:LIU Chang  LIU Xiongwei  DING Jingxin  LI Jiaxin  YIN Zhigang  ZHOU Ying
Affiliation:(1. School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang Guizhou 550025; 2. College of Life Science, Guizhou University, Guiyang Guizhou 550025; 3. Guizhou Engineering Center for Innovative Traditional Chinese Medicine and Ethnic Medicine, Guiyang Guizhou 550025, China) 
Abstract:Objective: To systematically identify the chemical components and explore the potential mechanisms of hepatoprotection by L. fulvotomentosa Hsu et S. C. Cheng (LFH), and provide evidences for figuring out pharmacodynamic substances. Methods: First, the main chemical components of LFH were analyzed by UPLC Q TOF MS, and quickly identified by standards or references based on the MS/MS spectrometry information of all potential compounds. The absorption efficacy of drugs was predicted by Molinspiration software. Then, Swiss Target Prediction and SEA database were used to retrieve the target of the chemical components of LFH, and the acute liver injury related targets were also screened by GeneCards databases and overlapping proteins were selected as acute liver injury targets of LFH.Furthermore, the target was obtained from KOBAS 3.0 database, and the “component target pathway” network model was established by Cytoscape 3.7.1 software. Results: Fifty-seven chemical constituents of LFH were screened out, among which 24 absorbed chemical components were selected by Molinspiration software and acted on 319 acute liver injury targets. Among, the chemical components, such as Cryptochlorogenic acid, Cynaroside, Chlorogenic acid, Neochlorogenic acid, Kaempferol, Quercetin, Oleanolic acid, Gardenoside, and Vogelosidemay act on the protein targets of CA2, AKR1B1, CA1, CA9, VEGFA, IL-2, ERAP1, FGF1, FGF2, ALOX, ADORA1 and CA4. The KEGG pathway analysis showed that LFH was directly or indirectly engaged in the signal pathways of PI3K-Akt, MAPK, TNF, Toll-like receptor, PPAR, Wnt, Notch and so on. Conclusion: UPLC Q-TOF-MS combined with network pharmacology may be used to preliminarily clarify the chemical composition and reveal potential mechanisms of LFH.
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