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首页> 外文期刊>Natural product research >Network pharmacology-based screening of the active ingredients and potential targets of the genus of Pithecellobium marthae (Britton & Killip) Niezgoda & Nevl for application to Alzheimer’s disease
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Network pharmacology-based screening of the active ingredients and potential targets of the genus of Pithecellobium marthae (Britton & Killip) Niezgoda & Nevl for application to Alzheimer’s disease

机译：基于网络药理学的筛选乳酸钙（Britton＆Killip）Niezgoda＆NevL的活性成分和潜在靶标，用于申请阿尔茨海默病

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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder associated with synaptic dysfunction, pathological accumulation of β-amyloid (Aβ), and neuronal loss. Given the prevalence of AD and the lack of effective long-term therapies, there is a pressing need to discover viable leads that can be developed into clinically approved drugs with disease-modifying effects. The analysis of current reported literatures confirms the importance of the plants of Pithecellobium genus as candidate against AD. Hence, it is necessary to identify selective anti-dementia agents from this genus. To explore potential compounds with marked effect on AD in Pithecellobium genus, a compound database based on the methods of network pharmacology prediction was established in this paper by constructing the compound-disease target network. The result showed that the most effective compound in the plants of this genus might be (7′R,8′R)-7′-methoxyl strebluslignanol, and the most potential target might be Macrophage colony-stimulating factor 1 receptor.
机译：阿尔茨海默病（Ad）是一种与突触功能障碍，β-淀粉样蛋白（Aβ）的病理积累和神经元损失相关的进步神经变性障碍。鉴于广告的普及和缺乏有效的长期疗法，有必要发现可以在临床批准的疾病改性效果中发展的可行性引线。对当前报告的文献分析证实了脑霉素属植物作为针对广告的候选者的重要性。因此，有必要鉴定来自该属的选择性抗痴呆剂。为了探讨脑纤维素属植物中具有明显影响的潜在化合物，通过构建复合疾病靶网络，在本文中建立了基于网络药理学预测方法的复合数据库。结果表明，该属植物中最有效的化合物可能是（7'R，8'R）-7'-甲氧基苯甲酸杆菌醇，并且最潜在的靶标可以是巨噬细胞菌落刺激因子1受体。

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