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解读玉屏风颗粒治疗肺炎的机制:一项网络药理学与分子对接研究

Deciphering the Mechanism of YuPingFeng Granules in Treating Pneumonia: A Network Pharmacology and Molecular Docking Study.

作者信息

Huang Bing, Luo Jing, Liu Liu-Yuan, Deng Wu-Sheng, Wang Ke, Lu Hua-Song, Kong Jin-Liang

机构信息

Ward of Pulmonary and Critical Care Medicine, Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530022, Guangxi, China.

出版信息

Evid Based Complement Alternat Med. 2022 Oct 15;2022:4161235. doi: 10.1155/2022/4161235. eCollection 2022.

Abstract

OBJECTIVE

YuPingFeng Granules (YPFGs) is an herbal formula clinically used in China for more than 100 years to treat pneumonia. Nevertheless, the mechanism of YPFG in pneumonia treatment has not been established. This network pharmacology-based strategy has been performed to elucidate active compounds as well as mechanisms of YPFG in pneumonia treatment.

METHODS

First, active compounds of YPFG were identified in the traditional Chinese medicine systems pharmacology (TCMSP) database, and then the targets related to the active compounds were obtained from TCMSP and Swiss Target Prediction databases. Next, using DisGeNET, DrugBank, and GeneCards databases, we got therapeutic targets of pneumonia and common targets between pneumonia targets and YPFG. After that, a protein-protein interaction (PPI) network of pneumonia composed of common targets was built to analyze the interactions among these targets, which focused on screening for hub targets by topology. Then, online software and the ClusterProfiler package were utilized for the enrichment analysis of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) data. Finally, the visualization software of Autodock was used for molecular docking among the hub target proteins.

RESULTS

10 hub genes were selected by comparing the GO and KEGG functions of pneumonia targets with those of the common targets of YPFG and pneumonia. By using molecular docking technology, a total of 3 active ingredients have been verified as being able to combine closely with 6 hub targets and contribute to their therapeutic effects.

CONCLUSION

This research explored the multigene pharmacological mechanism of action of YPFG against pneumonia through network pharmacology. The findings present new ideas for studying the mechanism of action of Chinese medicine against pneumonia caused by bacteria.

摘要

目的

玉屏风颗粒(YPFG)是一种在中国临床应用超过100年的中药配方,用于治疗肺炎。然而,YPFG治疗肺炎的机制尚未明确。本研究采用基于网络药理学的策略来阐明YPFG治疗肺炎的活性成分及其作用机制。

方法

首先,在中药系统药理学(TCMSP)数据库中鉴定YPFG的活性成分,然后从TCMSP和瑞士靶点预测数据库中获取与活性成分相关的靶点。接下来,利用DisGeNET、DrugBank和GeneCards数据库,获取肺炎的治疗靶点以及肺炎靶点与YPFG之间的共同靶点。之后,构建由共同靶点组成的肺炎蛋白质-蛋白质相互作用(PPI)网络,分析这些靶点之间的相互作用,重点通过拓扑结构筛选枢纽靶点。然后,利用在线软件和ClusterProfiler软件包对基因本体论(GO)和京都基因与基因组百科全书(KEGG)数据进行富集分析。最后,使用Autodock可视化软件对枢纽靶蛋白进行分子对接。

结果

通过比较肺炎靶点与YPFG和肺炎共同靶点的GO和KEGG功能,筛选出10个枢纽基因。利用分子对接技术,共验证了3种活性成分能够与6个枢纽靶点紧密结合,并发挥治疗作用。

结论

本研究通过网络药理学探索了YPFG抗肺炎的多基因药理作用机制。研究结果为研究中药抗细菌感染所致肺炎的作用机制提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1023/9588365/8479843ec14d/ECAM2022-4161235.001.jpg

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