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基于网络药理学的策略研究抗衰提取物的药理机制

Network Pharmacology-Based Strategy to Investigate the Pharmacological Mechanisms of Extract for Aging.

作者信息

Liu Yanfei, Liu Yue, Zhang Wantong, Sun Mingyue, Weng Weiliang, Gao Rui

机构信息

Graduate School of Beijing University of Chinese Medicine, Beijing 100029, China.

Institute of Clinical Pharmacology of Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China.

出版信息

Evid Based Complement Alternat Med. 2020 Jul 27;2020:8508491. doi: 10.1155/2020/8508491. eCollection 2020.

Abstract

Aging is a main risk factor for a number of debilitating diseases and contributes to an increase in mortality. Previous studies have shown that extract (EGb) can prevent and treat aging-related diseases, but its pharmacological effects need to be further clarified. This study aimed to propose a network pharmacology-based method to identify the therapeutic pathways of EGb for aging. The active components of EGb and targets of sample chemicals were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database. Information on aging-related genes was obtained from the Human Ageing Genomic Resources database and JenAge Ageing Factor Database. Subsequently, a network containing the interactions between the putative targets of EGb and known therapeutic targets of aging was established, which was used to investigate the pharmacological mechanisms of EGb for aging. A total of 24 active components, 154 targets of active components of EGb, and 308 targets of aging were obtained. Network construction and pathway enrichment were conducted after data integration. The study found that flavonoids (quercetin, luteolin, and kaempferol) and beta-sitosterol may be the main active components of EGb. The top eight candidate targets, namely, PTGS2, PPARG, DPP4, GSK3B, CCNA2, AR, MAPK14, and ESR1, were selected as the main therapeutic targets of EGb. Pathway enrichment results in various pathways were associated with inhibition of oxidative stress, inhibition of inflammation, amelioration of insulin resistance, and regulation of cellular biological processes. Molecular docking results showed that PPARG had better binding capacity with beta-sitosterol, and PTGS2 had better binding capacity with kaempferol and quercetin. The main components of EGb may act on multiple targets, such as PTGS2, PPARG, DPP4, and GSK3B, to regulate multiple pathways, and play an antiaging role by inhibiting oxidative stress, inhibiting inflammation, and ameliorating insulin resistance.

摘要

衰老是多种使人衰弱疾病的主要风险因素,并且会导致死亡率上升。先前的研究表明,银杏叶提取物(EGb)可以预防和治疗与衰老相关的疾病,但其药理作用仍需进一步阐明。本研究旨在提出一种基于网络药理学的方法来确定EGb治疗衰老的途径。EGb的活性成分和样本化学物质的靶点从中药系统药理学数据库与分析平台(TCMSP)数据库中获取。与衰老相关基因的信息从人类衰老基因组资源数据库和JenAge衰老因子数据库中获取。随后,建立了一个包含EGb假定靶点与已知衰老治疗靶点之间相互作用的网络,用于研究EGb治疗衰老的药理机制。共获得24种活性成分、154个EGb活性成分靶点和308个衰老靶点。数据整合后进行网络构建和通路富集。研究发现黄酮类化合物(槲皮素、木犀草素和山奈酚)和β-谷甾醇可能是EGb的主要活性成分。选择前八个候选靶点,即PTGS2、PPARG、DPP4、GSK3B、CCNA2、AR、MAPK14和ESR1作为EGb的主要治疗靶点。各种通路的通路富集结果与氧化应激抑制、炎症抑制、胰岛素抵抗改善以及细胞生物学过程调节有关。分子对接结果表明,PPARG与β-谷甾醇具有更好的结合能力,PTGS2与山奈酚和槲皮素具有更好的结合能力。EGb的主要成分可能作用于多个靶点,如PTGS2、PPARG、DPP4和GSK3B,以调节多种通路,并通过抑制氧化应激、抑制炎症和改善胰岛素抵抗发挥抗衰老作用。

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