首页|当归活性成分抗阿尔茨海默病网络药理作用机制探究

当归活性成分抗阿尔茨海默病网络药理作用机制探究

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目的:运用网络药理学,探究当归治疗阿尔茨海默病的作用机制.方法:通过TCMSP中药系统库,筛选当归主要活性成分,然后通过GeneCards、OMIM等库筛选出疾病靶标.运用Cytoscape软件绘制当归治疗阿尔茨海默病的"成分-靶标-疾病"网络图,通过STRING库构建靶点蛋白相关作用网络图,运用GO、KEGG进行关键靶点的生物注释及通路分析.结果:125个有效成分通过干预82个靶点、主要3条通路发挥治疗阿尔茨海默病形成的作用.结论:当归有效成分可能通过抑制乙酰胆碱、细胞免疫、血管内皮因子反应等药理作用治疗阿尔茨海默病的形成.
Study on the Anti-Alzheimer's Disease Network Pharmacological Action Mechanism of Active Ingredients of Angelica Sinensis
Objective: Use network pharmacology to explore the mechanism of action of Angelica sinensis in treating Alzheimer's disease. Methods: The main active components of Angelica sinensis were screened through the TCMSP Chinese medicine system library, and then the disease targets were screened out through GeneCards, OMIM and other libraries. Cytoscape software was used to draw the "Component-Target-Disease" network diagram of Angelica sinensis in the treatment of Alzheimer's disease. The STRING library was used to construct a network diagram of the related effects of target proteins. GO and KEGG were used to conduct biological annotation and pathway analysis of key tar-gets. Results: 125 active ingredients play a role in treating Alzheimer's disease by intervening 82 targets and mainly 3 pathways. Conclusion: The active ingredients of Angelicae Sinensis may treat the formation of Alzheimer's disease by inhibiting the pharmacological effects of acetylcholine, cellular immunity, and vascular endothelial factors.

Angelica sinensisNetwork pharmacologyAlzheimer's diseaseActive ingredientsTarget

曾庆涛、兰美华、李桂云、王雅乐、黄海、吴红彦

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广东省深圳市罗湖区中医院 广东罗湖 518000

当归 网络药理 阿尔茨海默病 有效成分 靶点

广东省自然科学基金广东省中医院名医工作室项目罗湖区软科学研究计划项目罗湖区软科学研究计划项目罗湖区软科学研究计划项目

2020A1515010217201461LX20210203LX20210101LX202202127

2024

中医药临床杂志
中华中医药学会

中医药临床杂志

影响因子:0.636
ISSN:1672-7134
年,卷(期):2024.36(2)
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