1. Academic Validation
  2. A network pharmacology approach to uncover the key ingredients in Ginkgo Folium and their anti-Alzheimer's disease mechanisms

A network pharmacology approach to uncover the key ingredients in Ginkgo Folium and their anti-Alzheimer's disease mechanisms

  • Aging (Albany NY). 2021 Jul 27;13(14):18993-19012. doi: 10.18632/aging.203348.
Peng Zeng 1 Meng Fang 2 Han Zhao 2 Jing Guo 2
Affiliations

Affiliations

  • 1 Department of Pathology and Pathophysiology, School of Basic Medicine, Tongji Medical College, Key Laboratory of Neurological Disease of National Education Ministry and Hubei Province, Huazhong University of Science and Technology, Wuhan 430030, China.
  • 2 School of Medicine, Jianghan University, Wuhan 430056, China.
Abstract

This study aimed to identify potential anti-Alzheimer's disease (AD) targets and action mechanisms of Ginkgo Folium (GF) through a network pharmacology approach. Eighty-four potential targets of 10 active anti-AD ingredients of GF were identified, among which genkwanin (GK) had the greatest number of AD-related targets. KEGG pathway enrichment analysis showed that the most significantly enriched signaling pathway of GF against AD was Alzheimer disease (hsa05010). More importantly, 29 of the 84 targets were significantly correlated with tau, Aβ or both Aβ and tau pathology. In addition, GO analysis suggested that the main biological processes of GF in AD treatment were the regulation of chemical synaptic transmission (GO:0007268), neuron death (GO:0070997), amyloid-beta metabolic process (GO:0050435), etc. We further investigated the anti-AD effects of GK using N2A-APP cells (a classical cellular model of AD). Treatment N2A-APP cells with 100 μM GK for 48 h affected core targets related to tau pathology (such as CDK5 and GSK3β). In conclusion, these findings indicate that GF exerts its therapeutic effects on AD by acting directly on multiple pathological processes of AD.

Keywords

AD pathology; Alzheimer’s disease; Ginkgo Folium; genkwanin; network pharmacology.

Figures
Products
我们的 Cookie 政策

我们使用 Cookies 和类似技术以提高网站的性能和提升您的浏览体验,部分功能也使用 Cookies 帮助我们更好地理解您的需求,为您提供相关的服务。 如果您有任何关于我们如何处理您个人信息的疑问,请阅读我们的《隐私声明》