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基于网络药理学和分子对接探究黄连-佩兰药对治疗 2 型糖尿病的作用机制。

Investigating the Mechanism of Rhizoma Coptidis-Eupatorium fortunei Medicine in the Treatment of Type 2 Diabetes Based on Network Pharmacology and Molecular Docking.

机构信息

First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250014, China.

Department of Endocrinology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China.

出版信息

Biomed Res Int. 2022 Nov 21;2022:7978258. doi: 10.1155/2022/7978258. eCollection 2022.

Abstract

OBJECTIVE

This study systematically explored the mechanism of Rhizoma Coptidis-Eupatorium fortunei in treating type 2 diabetes mellitus (T2DM) by using network pharmacology and molecular docking methods.

METHODS

The TCMSP database was used to screen out the active ingredients and related targets of Rhizoma Coptidis-Eupatorium fortunei (R-E) drug pair. GeneCards, OMIM, DrugBank, and other databases were used to screen the related targets of T2DM, and then, the UniProt database was used to standardize the relevant targets of T2DM. Then, the Venn analysis was performed on the active ingredient-related targets and disease-related targets of R-E drugs to find the intersection targets. Using the STRING database and Cytoscape software, the PPI network and "drug-active ingredient-target-disease" network are constructed by intersecting targets and corresponding active ingredients. Through the cluster profiler package in the R software, GO function enrichment analysis and KEGG pathway enrichment analysis were carried out on the intersection targets and the screened core targets, and the prediction results were verified by molecular docking.

RESULTS

Taking OB ≥ 30% and DL ≥ 0.18 as the standard, a total of 25 effective active ingredients of R-E drug pairs were screened, including berberine, palmatine, coptisine, and so on. After corresponding, 19 effective chemical components and 284 targets of the R-E drug pair were obtained. After searching multiple disease databases, 1289 T2DM-related targets were screened. After the summary, 159 common targets were obtained in this study. Finally, in the bioinformatics analysis, this study concluded that quercetin, luteolin, berberine, palmatine, and coptisine are the main chemical components of the R-E drug pair. ESR1, MAPK1, AKT1, TP53, IL6, and JUN are the important core targets. GO and KEGG enrichment analyses showed that Rhizoma Coptidis-Eupatorium fortunei could improve T2DM by regulating multiple biological processes and pathways. Molecular docking results showed that berberine, palmatine, and coptisine had higher binding to the core target, and MAPK1, AKT1, and IL6 could stably bind to the active ingredients of Rhizoma Coptidis-Eupatorium fortunei.

CONCLUSION

Rhizoma Coptidis-Eupatorium fortunei may have therapeutic effects on T2DM such as anti-inflammatory and regulating glucose and lipid metabolism through multiple components, multiple targets, and multiple signaling pathways, which provides a scientific basis for further research on the hypoglycemic effect of Rhizoma Coptidis-Eupatorium fortunei drug pair.

摘要

目的

本研究采用网络药理学和分子对接方法系统探讨黄连-佩兰治疗 2 型糖尿病(T2DM)的作用机制。

方法

利用 TCMSP 数据库筛选黄连-佩兰药对的活性成分及相关靶点,运用 GeneCards、OMIM、DrugBank 等数据库筛选 T2DM 相关靶点,利用 UniProt 数据库对 T2DM 相关靶点进行标准化处理,采用 Venn 分析对黄连-佩兰药对活性成分相关靶点和疾病相关靶点进行交集分析,找到交集靶点。运用 STRING 数据库和 Cytoscape 软件,将交集靶点和对应活性成分构建 PPI 网络和“药物-活性成分-靶点-疾病”网络,采用 R 软件中的 cluster profiler 包对交集靶点和筛选出的核心靶点进行 GO 功能富集分析和 KEGG 通路富集分析,并用分子对接对预测结果进行验证。

结果

以 OB≥30%和 DL≥0.18 为标准,筛选出黄连-佩兰药对的 25 个有效活性成分,包括小檗碱、巴马汀、黄连碱等,经对应获得黄连-佩兰药对的 19 个有效化学成分和 284 个靶点。经多疾病数据库检索,筛选出 1289 个 T2DM 相关靶点,经过总结,本研究共获得 159 个共同靶点。最后,在生物信息学分析中,本研究得出槲皮素、木樨草素、小檗碱、巴马汀和黄连碱是黄连-佩兰药对的主要化学成分,ESR1、MAPK1、AKT1、TP53、IL6 和 JUN 是重要的核心靶点。GO 和 KEGG 富集分析表明,黄连-佩兰可通过调节多种生物过程和通路改善 T2DM。分子对接结果显示,小檗碱、巴马汀和黄连碱与核心靶点结合度较高,MAPK1、AKT1 和 IL6 可与黄连-佩兰的活性成分稳定结合。

结论

黄连-佩兰可能通过多成分、多靶点、多信号通路对 T2DM 发挥抗炎及调节糖脂代谢等治疗作用,为进一步研究黄连-佩兰药对的降血糖作用提供科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d258/9705109/4ea3ddc3538c/BMRI2022-7978258.001.jpg

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