基于斑马鱼模型及网络药理学研究云南金花茶多酚的抗炎作用

doi:10.7506/spkx1002-6630-20220525-318

食品科学 ›› 2023, Vol. 44 ›› Issue (11): 134-142.doi: 10.7506/spkx1002-6630-20220525-318

• 营养卫生 • 上一篇

基于斑马鱼模型及网络药理学研究云南金花茶多酚的抗炎作用

高妙姿，唐军荣，邓佳，向建英，阚欢，赵平，张颖君，张贵良，刘云

（1.西南林业大学西南山地森林资源保育与利用教育部重点实验室，云南昆明 650224；2.云南省高校大健康类森林资源开发利用工程研究中心，云南昆明 650224；3.中国科学院昆明植物研究所，植物化学与西部植物资源持续利用国家重点实验室，云南昆明 650201；4.云南大围山国家级自然保护区管护局河口管护分局，云南河口 661399）

发布日期:2023-06-30
基金资助:
云南省农业基础研究联合专项（202101BD070001-045）；云南省基础研究计划项目（202201AT070050）；云南省“兴滇英才支持计划”青年人才专项（XDYC–QNRC–2022-0222）；国际植物园联盟项目（2063076）

Evaluation of Anti-inflammatory Effect of Camellia fascicularis Polyphenols Using Zebrafish Model and Network Pharmacology

GAO Miaozi, TANG Junrong, DENG Jia, XIANG Jianying, KAN Huan, ZHAO Ping, ZHANG Yingjun, ZHANG Guiliang, LIU Yun

(1. Key Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China; 2. Forest Resources Exploitation and Utilization Engineering Research Center for Grand Health of Yunnan Provincial Universities, Kunming 650224, China; 3. State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; 4. Hekou Management Sub-bureau of Yunnan Daweishan National Nature Reserve Management Bureau, Hekou 661399, China)

Published:2023-06-30

摘要/Abstract

摘要： 为研究云南金花茶多酚（Camellia fascicularis polyphenols，CFP）发挥抗炎作用的分子机制，采用斑马鱼模型对CFP进行抗炎活性评价，利用超高效液相色谱-四极杆-飞行时间串联质谱（ultra-performance liquid chromatography combined with quadrupole-time-of-flight mass/mass spectrometry，UPLC-Q-TOF-MS/MS）技术分析其化合物组成，通过SwissTargetPrediction、DisGeNET等数据库获得有效成分和炎症的作用靶点，借助STRING数据库构建蛋白-蛋白互作网络（protein-protein interaction，PPI），通过DAVID数据库进行基因本体（gene ontology，GO）功能和京都基因与基因组百科全书（Kyoto encyclopedia of Genes and Genomes，KEGG）通路富集分析，使用AutoDockTools和PyMOL软件对关键成分和核心蛋白进行分子对接及可视化。结果显示，从CFP中鉴定出21 个酚类化合物，筛选出32 个交集靶点，GO功能和KEGG通路富集分析显示CFP可能通过细胞增殖的正向调节、细胞质、三磷酸腺苷（adenosine triphosphate，ATP）结合等生物学过程作用于甘油醛-3-磷酸脱氢酶（glyceraldehyde-3-phosphate dehydrogenase，GAPDH）、前列腺素内过氧化物合酶2（prostaglandin-endoperoxide synthase 2，PTGS2）、基质金属蛋白酶2（matrix metallopeptidase 2，MMP2）等核心靶点，进一步调控花生四烯酸代谢、低氧诱导因子-1（hypoxia inducible factor-1，HIF-1）、血小板活化等信号通路来发挥抗炎作用。分子对接结果表明，云南金花茶多酚类关键成分与炎症靶点间存在良好的结合活性。本研究可为云南金花茶多酚类成分抗炎产品的开发提供理论参考。

关键词: 云南金花茶；炎症；斑马鱼模型；网络药理学；分子对接

Abstract: In order to investigate the molecular mechanism behind the anti-inflammatory effect of Camellia fascicularis polyphenols (CFP), the anti-inflammatory activity of CFP was evaluated using the zebrafish model and the polyphenol composition was analyzed using ultra-performance liquid chromatography combined with quadrupole-time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS). Then, the targets of effective ingredients and inflammation-related targets were predicted using the SwissTargetPrediction and DisGeNET databases. The protein-protein interaction (PPI) network was constructed, and gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the STRING and DAVID databases. Furthermore, molecular docking and visualization of key components and core proteins were performed using the AutoDockTools and PyMOL software. The results showed that 21 phenolic compounds were identified from Camellia fascicularis and 32 intersection targets were selected. The GO function and KEGG pathway enrichment analysis indicated that CFP exerted anti-inflammatory effects by acting on core targets as glyceraldehyde-3-phosphate dehydrogenase (GAPDH), prostaglandin-endoperoxide synthase 2 (PTGS2) and matrix metallopeptidase 2 (MMP2) through biological processes including positive regulation of cell proliferation, cytoplasm, adenosine triphosphate (ATP) binding, and in turn regulating signaling pathways like arachidonic acid metabolism, hypoxia inducible factor-1 (HIF-1) signaling pathway and platelet activation. Molecular docking results demonstrated excellent binding activity between the key components in CFP and inflammation-related targets. The research could provide a theoretical reference for the development of anti-inflammatory products with polyphenol components of C. fascicularis.

Key words: Camellia fascicularis; inflammation; zebrafish model; network pharmacology; molecular docking

中图分类号:

R285.5

高妙姿，唐军荣，邓佳，向建英，阚欢，赵平，张颖君，张贵良，刘云. 基于斑马鱼模型及网络药理学研究云南金花茶多酚的抗炎作用[J]. 食品科学, 2023, 44(11): 134-142.

GAO Miaozi, TANG Junrong, DENG Jia, XIANG Jianying, KAN Huan, ZHAO Ping, ZHANG Yingjun, ZHANG Guiliang, LIU Yun. Evaluation of Anti-inflammatory Effect of Camellia fascicularis Polyphenols Using Zebrafish Model and Network Pharmacology[J]. FOOD SCIENCE, 2023, 44(11): 134-142.

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基于斑马鱼模型及网络药理学研究云南金花茶多酚的抗炎作用

Evaluation of Anti-inflammatory Effect of Camellia fascicularis Polyphenols Using Zebrafish Model and Network Pharmacology

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