基于网络药理学的黄连治疗糖尿病肾病机制研究

Cheng Yu, Liting Qian, Ying Chen, Jing Guan, Shuang Jiang, Danning Song
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引用次数: 0

摘要

采用系统药理学方法探讨黄连对糖尿病肾病的治疗作用。利用TCMSP数据库对黄连主要成分及相关靶点进行检索;利用GeneCards和CTD数据库筛选糖尿病肾病的疾病靶点,取靶点与疾病靶点的交集,绘制为维恩图;利用STRING数据库构建靶蛋白相互作用(PPI)网络;使用DAVID 6.8在线工具进行GO和KEGG富集分析,获得黄连在糖尿病肾病中的关键信号通路。从TCMSP数据库中获得黄连14种有效成分和186个靶点,从GeneCards和CTD两个数据库的汇总中获得3358个糖尿病肾病靶点。获得黄连成分与糖尿病肾病疾病的交叉靶点118个,核心靶点为TP53、MAPK1、AKT1、RELA、TNF、CAV1、RXRA,可能通过MAPK信号通路和PI3K-Akt信号通路调节糖尿病肾病过程中产生的炎症反应和氧化应激,从而减轻疾病症状。黄连治疗糖尿病肾病的作用机制可能是通过多组分、多靶点、多途径发挥的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Mechanism of Coptis Chinensis in the Treatment of Diabetic Nephropathy Based on Network Pharmacology
To investigate the therapeutic effects of Coptis chinensis on diabetic nephropathy using systematic pharmacological techniques. The TCMSP database was used to search the main components and related targets of Coptis chinensis; the GeneCards and CTD databases were used to screen the disease targets of diabetic nephropathy, and the intersection of the targets and disease targets was taken and plotted in Venn diagram; the target protein interaction (PPI) network was constructed from STRING database; the DAVID 6.8 online tool was used to GO and KEGG enrichment analyses were performed using DAVID 6.8 online tool to obtain the key signaling pathways of Coptis chinensis acting in diabetic nephropathy. Fourteen effective components of Coptis chinensis and 186 targets were obtained from the TCMSP database, and 3358 diabetic nephropathy targets were obtained from the summary of two databases, GeneCards and CTD. 118 intersecting targets of Coptis chinensis components and diabetic nephropathy diseases were obtained, and the core targets were TP53, MAPK1, AKT1, RELA, TNF, CAV1, RXRA, which may act on MAPK signaling pathway and PI3K-Akt signaling pathway to regulate the inflammatory response and oxidative stress generated by diabetic nephropathy process, thus reducing the disease symptoms. Coptis chinensis can exert its mechanism of action for the treatment of diabetic nephropathy through multiple components with multiple targets and pathways.
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