首页> 外文期刊>Journal of Traditional Chinese Medical Sciences >Network pharmacology used to decode potential active ingredients in Ferula assafoetida and mechanisms for the application to Alzheimer’s disease
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Network pharmacology used to decode potential active ingredients in Ferula assafoetida and mechanisms for the application to Alzheimer’s disease

机译:网络药理学用于解码在 Ferula Assafoetida 中的潜在活性成分及其应用于阿尔茨海默病的机制

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BackgroundAlzheimer’s disease (AD) is a neurodegenerative disease that primarily manifests as progressive memory loss and cognitive impairment. Traditional herbal medicines may be helpful in the discovery of new anti-AD drugs. Studies have shown that Ferula assafoetida has neuroprotective and memory-enhancing effects, which may be beneficial for the treatment of AD. However, the combination of active ingredients and their mechanisms remain unclear. Therefore, we aimed to identify potential active ingredients in F.?assafoetida and their mechanisms of action against AD by using network pharmacology.MethodsIn our study, an integrated network pharmacological approach, that included adsorption, distribution, metabolism and excretion screening, target identification, network construction, topological analysis, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and molecular docking, was used to predict the pharmacological material basis and potential mechanisms through which these ingredients may treat and prevent AD.ResultsThe results indicated that 12 key active ingredients, obtained by topological analysis (including farnesiferol a, conferol, farnesiferol b, ferulic acid, etc.), may be the primary pharmacological components that may ameliorate AD. The 2 key significant pathways identified are the cholinergic synapse signaling pathway (critical targets include ACHE, CHRM1, CHRM2, MAPK1, PIK3CA, PIK3CB, PIK3CD, and PIK3CG) and the AD signaling pathway (critical targets include APP, BACE1, GSK3B, MAPK1, NCSTN, NOS1, PSEN1). These critical targets are closely related to the regulation of three typical pathological features of AD [central nervous system (CNS) cholinergic hypofunction, amyloid-β (Aβ) plaques, and hyperphosphorylated tau proteins]. Finally, 14 critical targets in the 2 key significant pathways were validated by molecular docking analysis.ConclusionF.?assafoetida may be effective for alleviating AD symptoms, through multi-component, multi-target, and multi-pathway synergistic effects, associated with the multiple pathogenesis hypotheses of AD. Our study may provide certain clues for the further development and utilization of this natural herbal medicine.
机译:BackgroundAlzheimer的疾病(AD)是一种神经变性疾病,主要表现为逐步记忆损失和认知障碍。传统的草药药物可能有助于发现新的抗AD毒品。研究表明,Ferula Assafoetida具有神经保护和内存增强的效果,这对AD的治疗可能是有益的。然而,活性成分及其机制的组合仍然不清楚。因此,我们旨在通过使用网络药理学识别F.?Assafoetida中的潜在活性成分及其对AD的行动机制。我们的研究,一种综合网络药理学方法,包括吸附,分布,代谢和排泄筛查,目标鉴定,网络施工,拓扑分析,基因本体论和基因的京都植物富集分析和分子对接,用于预测药理学材料基础和这些成分可以治疗和预防Ad的潜在机制。结果表明12个关键通过拓扑分析获得的活性成分(包括法尼斯鼠A,Conferol ol A,Conferolol A,Farnesiferol B,阿魏酸等)可以是可能改善AD的主要药理学组分。鉴定的2个关键重要途径是胆碱能突触信令路径(关键目标包括ACHE,CHRM1,CHRM2,MAPK1,PIK3CA,PIK3CB,PIK3CD和PIK3CG)和AD信令路径(关键目标包括应用程序,BACE1,GSK3B,MAPK1, ncstn,nos1,psen1)。这些关键目标与调节AD [中枢神经系统(CNS)Cholinergics Hopofunction,淀粉样蛋白-β(Aβ(Aβ)斑块和高磷酸化Tau蛋白的三种典型病理特征的调节密切相关。最后,通过分子对接分析验证了24个关键重要途径中的14个关键目标。Conclusionf.Conclusionf.?Assafoetida可以通过与多个相关的多组分,多目标和多途径协同效应来减轻广告症状有效公元的发病机构假设。我们的研究可以为这种天然草药的进一步发展和利用提供某些线索。

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