首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >A Network Pharmacology Approach to Estimate Potential Targets of the Active Ingredients of Epimedium for Alleviating Mild Cognitive Impairment and Treating Alzheimer’s Disease
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A Network Pharmacology Approach to Estimate Potential Targets of the Active Ingredients of Epimedium for Alleviating Mild Cognitive Impairment and Treating Alzheimer’s Disease

机译:一种网络药理学方法来估算淫羊藿活性成分的潜在目标,以减轻轻度认知障碍和治疗阿尔茨海默病

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Background . The present study made use of a network pharmacological approach to evaluate the mechanisms and potential targets of the active ingredients of Epimedium for alleviating mild cognitive impairment (MCI) and treating Alzheimer’s disease (AD). Methods . The active ingredients of Epimedium were acquired from the Traditional Chinese Medicine System Pharmacology database, and potential targets were predicted using the TCMSP target module, SwissTargetPrediction, and PharmMapper database. Target proteins correlating with MCI and AD were downloaded from the GeneCards, DisGeNet, and OMIM databases. The common targets of Epimedium, MCI, and AD were identified using the Jvenn online tool, and a protein-protein interaction (PPI) network was constructed using the String database and Cytoscape. Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the common targets was performed using DAVID, and molecular docking between active ingredients and target genes was modeled using AutoDock Vina. Results . A total of 20 active ingredients were analyzed, and 337 compound-related targets were identified for Epimedium. Out of 236 proteins associated with MCI and AD, 54 overlapped with the targets of Epimedium. The top 30 interacting proteins in this set were ranked by topological analysis. GO and KEGG enrichment analysis suggested that the common targets participated in diverse biological processes and pathways, including cell proliferation and apoptosis, inflammatory response, signal transduction, and protein phosphorylation through cancer pathway, MAPK signaling pathway, PI3K-Akt signaling pathway, HIF-1 signaling pathway, sphingolipid signaling pathway, FoxO signaling pathway, and TNF signaling pathway. Molecular docking analysis suggested that the 20 active ingredients could bind to the top 5 protein targets. Conclusions . The present study provides theoretical evidence for in-depth analysis of the mechanisms and molecular targets by which Epimedium protects against MCI, AD, and other neurodegenerative diseases and lays the foundation for pragmatic clinical applications and potential new drug development.
机译:背景 。本研究中利用的网络的药理学方法来评价淫羊藿的活性成分的机制和潜在目标用于减轻轻度认知障碍(MCI)和治疗阿尔茨海默病(AD)。方法 。淫羊藿的有效成分是从中国传统医学系统药理学数据库获取并使用TCMSP目标模块,SwissTargetPrediction和PharmMapper数据库的潜在目标进行了预测。靶蛋白与MCI关联和AD是从GeneCards,DisGeNet和OMIM数据库下载。淫羊藿,MCI和AD的共同目标被使用Jvenn在线工具识别,并且用的是字符串数据库和Cytoscape的构成的蛋白质 - 蛋白质相互作用(PPI)网络。最后,基因本体论(GO)和京都基因百科全书和共同的目标基因组(KEGG)富集分析使用DAVID进行,和活性成分和靶基因之间的分子对接使用AUTODOCK维娜建模。结果 。总共20种活性成分进行了分析,并鉴定为淫羊藿337化合物有关的目标。出患有MCI和AD有关236种蛋白质的,54重叠淫羊藿的目标。在这个组中的前30相互作用的蛋白质通过拓扑分析排名。 GO和KEGG富集分析表明,共同目标参与多种生物过程和途径,包括细胞增殖和凋亡,炎症反应,信号转导和蛋白质磷酸化通过癌症途径中,MAPK信号传导途径,PI3K-Akt信号传导途径,HIF-1信号传导途径,神经鞘脂类的信号传导途径,的FoxO信号传导途径,和TNF的信号传导途径。分子对接分析表明,20种活性成分可以结合前5蛋白靶标。结论。本研究提供了理论依据进行深入的由淫羊藿防止MCI,AD和其他神经退行性疾病和奠定了务实的临床应用和潜在的新药开发的基础机制和分子靶点的分析。

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