基于HPLC指纹图谱和网络药理学探究连翘保肝作用潜在机制
投稿时间:2024-06-06  修订日期:2024-09-25   点此下载全文
引用本文:
DOI:
摘要点击次数: 851
全文下载次数: 0
                 
作者中文名作者英文名单位中文名单位英文名E-Mail
田溪 tianxi 河北省农林科学院经济作物研究所 Economic Crop Research Institute of Hebei Academy of Agriculture and Forestry 864559367@qq.com 
李雯钰 Li Wenyu 河北医科大学药学院 School of Pharmacy, Hebei Medical University 1064789969@qq.com 
张惠怡 Zhang Huiyi 河北医科大学药学院 School of Pharmacy, Hebei Medical University 1156507919@qq.com 
李红艳 Li Hongyan 河北省农林科学院经济作物研究所 Economic Crop Research Institute of Hebei Academy of Agriculture and Forestry 57946481@qq.com 
刘灵娣 Liu Lingdi 河北省农林科学院经济作物研究所 Economic Crop Research Institute of Hebei Academy of Agriculture and Forestry nkyliulingdi@126.com 
温春秀* Wen Chunxiu 河北省农林科学院经济作物研究所 Economic Crop Research Institute of Hebei Academy of Agriculture and Forestry wenchunxiu@126.com 
中文摘要:目的:根据高效液相色谱法(HPLC)指纹图谱和网络药理学探讨连翘保肝作用的药效关联物质及作用机制。方法:采用HPLC建立28批连翘指纹图谱,结合对照品指认特征峰,进一步结合相似度评价、聚类分析和偏最小二乘法-判别分析进行评价,筛选药效关联物质,进行网络药理学分析。利用SwissTargetPrediction数据库检索成分靶点;利用OMIM、GeneCards和Drugbank数据库检索肝损伤疾病靶点,取成分与疾病的交集靶点,采用String数据库构建蛋白质-蛋白质相互作用网络图,并进行拓扑学参数分析;采用Cytoscape 3.8.2软件构建成分-疾病-靶点网络图;采用Metascape网站对交集靶点进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。结果:连翘HPLC指纹图谱的相似度均大于0.90,通过聚类分析将28批样品聚为3类,偏最小二乘法-判别分析结果与聚类分析结果一致。经对照品比对及综合分析,确定连翘酯苷E、松脂醇二葡萄糖苷、连翘酯苷A、异槲皮苷、连翘苷为连翘的药效关联物质,其可能通过调控哈维大鼠肉瘤病毒致癌基因 (HRAS)、前列腺素内过氧化物合酶 2基因 (PTGS2)、髓样细胞白血病-1 基因(MCL1)、白细胞介素2基因 (IL2)、热休克蛋白 90 α 家族 A 类成员 1基因 (HSP90AA1) 等核心靶点及白细胞介素17 信号通路、花生四烯酸代谢信号通路、磷脂酰肌醇3-激酶-蛋白激酶B 信号通路等关键信号通路来发挥作用。结论:结合HPLC指纹图谱及网络药理学,对连翘保肝作用药效关联物质及作用机制进行了探讨,为连翘的质量控制、品种选育及临床研究提供参考。
中文关键词:连翘  高效液相色谱法指纹图谱  网络药理学  肝损伤保护
 
Potential Mechanisms of Forsythia suspensa Against Liver Injury Based on HPLC Fingerprint and Network Pharmacology
Abstract:Objective: To investigate the pharmacological substances and mechanisms underlying the hepatoprotective effects of Forsythia suspensa using HPLC fingerprint and network pharmacology. Methods: HPLC fingerprints were established for 28 batches of F. suspensa, and characteristic peaks were identified using reference materials. Further evaluation was conducted by combining similarity analysis, cluster analysis, and partial least squares discriminant analysis (PLS-DA) to screen for pharmacologically relevant substances, followed by network pharmacology analysis. Component-related targets were retrieved from the SwissTargetPrediction database, while liver injury-related targets were obtained from the OMIM, GeneCards, and DrugBank databases. Intersection targets between the components and the disease were selected, and a protein-protein interaction (PPI) network was constructed using the STRING database, followed by topological parameter analysis. Cytoscape 3.8.2 was used to construct a "component-disease-target" network diagram, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the intersection targets using the Metascape website. Results: The similarity of the HPLC fingerprints of F. suspensa was greater than 0.90. Through cluster analysis, the 28 batches of samples were grouped into three categories. The results of PLS-DA were consistent with those of the cluster analysis. Based on comparison with reference materials and comprehensive analysis, forsythoside E, pinoresinol diglucoside, forsythoside A, isoquercitrin, and phillyrin were identified as pharmacologically relevant substances. These substances may exert their effects by regulating core targets such as HRAS, PTGS2, MCL1, IL2, and HSP90AA1, as well as key signaling pathways including the IL-17 signaling pathway, arachidonic acid metabolism signaling pathway, and PI3K-Akt signaling pathway. Conclusion: By combining HPLC fingerprint and network pharmacology, this study explored the pharmacological substances and mechanisms associated with the hepatoprotective effects of F. suspensa, providing a reference for quality control, variety selection, and clinical research on F. suspensa.
keywords:Forsythia suspensa  HPLC fingerprint  network pharmacology  protection against liver injury
查看全文   查看/发表评论  下载PDF阅读器