首页|基于UPLC-Q-TOF-MS/MS及网络药理学探讨半枫荷治疗类风湿性关节炎的有效成分和作用机制

基于UPLC-Q-TOF-MS/MS及网络药理学探讨半枫荷治疗类风湿性关节炎的有效成分和作用机制

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目的 利用高效液相色谱-四极杆飞行时间串联质谱法(UPLC-Q-TOF-MS/MS)分析半枫荷醇提物的主要成分,结合网络药理学进一步探讨半枫荷抗风湿性关节炎有效物质及作用机制.方法 依据UPLC-Q-TOFMS/MS表征分析半枫荷醇提物的主要化学成分,结合Pubchem数据库、Swiss Target Prediction数据库预测半枫荷的作用靶点.利用GeneCards数据库、OMIM数据库、PharmGkb数据库获得疾病靶点,用Venny图绘制平台获得成分和疾病的交集靶点;通过String数据库和Cytoscape 3.9.0 软件构建化合物-靶点相互网络、蛋白质-蛋白质相互作用(PPI)网络,并筛选核心靶点,利用David数据库对潜在的核心靶点进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析,并制作GO双侧柱状图、富集结果分析图.用Cytoscape 3.9.0 软件构建"活性成分-靶点-疾病-通路"网络图与活性成分与潜在靶点的网络图.用PyMOL和AutoDock Vina软件进行分子对接.结果 从半枫荷醇提物中鉴定 84 个成分,从数据库筛选出 43 种活性成分,对应 561 个潜在靶点,其中与类风湿性关节炎交集靶点55 个;经PPI网络分析后,获取核心靶点10 个:IL-6、TNF、IL-1β、ALB、CCR5、PTGS2、TLR4、MMP9、NFKB1、STAT1.经有效成分-靶点网络得药物有效成分 5 个:光甘草内酯、泽泻醇C-23-醋酸酯、藁本内酯、洋川芎内酯A、积雪草酸.主要涉及通路:TNF信号通路、IL-17 信号通路、Toll样受体信号通路、C型凝集素受体信号通路、脂质和动脉粥样硬化.分子对接结果有较好的结合能力.结论 通过结合UPLC-Q-TOF-MS/MS和网络药理学及分子对接的方法初步阐明了半枫荷是通过多成分、多靶点、多途径发挥抗类风湿性关节炎的作用,为半枫荷的进一步质量评价及药理活性的研究提供参考.
Exploration of the Active Ingredients and Mechanism of Action of Semiliquidambar Cathayensis in the Treatment of Rheumatoid Arthritis Based on UPLC-Q-TOF-MS/MS and Network Pharmacology
Objective To analyze the main components of alcohol extract of Semiliquidambar cathayensis by high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS),and to further explore the effective substances and mechanism of action of Semiliquidambar cathayensis in anti-rheumatoid arthritis combined with network pharmacology.Methods The main chemical components of the alcohol extract of Semil-iquidambar cathayensis were analyzed according to the characterization of UPLC-Q-TOFMS/MS,and the Target of Semiliquidambar cathayensis was predicted according to Pubchem database and Swiss Target Prediction database.GeneCards database,OMIM database and PharmGkb data-base were used to obtain disease targets,and Venny mapping platform was used to obtain the intersection targets of composition and disease.The compound target interaction network and protein-protein interaction(PPI)network were constructed using String database and Cyto-scape 3.9.0 software,and core targets were screened.David database was used to conduct gene ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)path-way enrichment analysis for potential core targets,and GO bilateral histogram and enrichment result analysis diagram were made.Cytoscape 3.9.0 software was used to construct the"active ingredient-target-disease-pathway"network diagram and the network diagram of active ingre-dients and potential targets.Molecular docking was performed with PyMOL and AutoDock Vina software.Results 84 components were identified and 43 active components were screened from the database,corresponding to 561 potential targets,among which 55 intersected with rheuma-toid arthritis.After PPI network analysis,10 core targets were obtained:IL-6,TNF,IL-1β,ALB,CCR5,PTGS2,TLR4,MMP9,NFKB1 and STAT1.5 active ingredients were obtained through the active ingredient-target network:glycyrrhizin,alismol C-23-acetate,ligustilide,ligustilide A and Xuexueoxalic acid.It mainly involves the following pathways:TNF signaling pathway,IL-17 sig-naling pathway,Toll-like receptor signaling pathway,C-type lectin receptor signaling pathway,lipids and atherosclerosis.The results of molecular docking showed good binding ability.Conclu-sion By combining UPLC-Q-TOF-MS/MS with network pharmacology and molecular docking methods,the anti-rheumatoid arthritis effects of Semiliquidambar cathayensis via multi-compo-nent,multi-target and multi-pathway were initially elucidated,which provided reference for fur-ther quality evaluation and pharmacological activity study of Semiliquidambar cathayensis.

UPLC-Q-TOF-MS/MSSemiliquidambar cathayensisRheumatoid arthritisNetwork pharmacologyMolecular dockingToll-like receptor signaling pathwayLigustilideAsiatic acid

魏子涵、晏晨、李开斌、张丽艳、魏美琪、马四补

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贵州中医药大学(贵州 贵阳 550025)

UPLC-Q-TOF-MS/MS 半枫荷 类风湿性关节炎 网络药理学 分子对接 Toll样受体信号通路 藁本内酯 积雪草酸

2024

湖北民族大学学报(医学版)

湖北民族大学学报(医学版)

ISSN:
年,卷(期):2024.41(1)
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