Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking

[Abstract]: Objective: In this study, we used network pharmacology to explore the main targets and signaling pathways of Erchen decoction in the treatment of chronic bronchitis. Methods: The effective active ingredients of Erchen decoction were screened through the traditional Chinese medicine syst...

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Main Authors: Yanshan HE, Rui WANG, Jinlian ZHU, Yingjia DENG, Yafang DENG, Yuanning ZENG, Qiuhong WANG
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-06-01
Series:Journal of Holistic Integrative Pharmacy
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Online Access:http://www.sciencedirect.com/science/article/pii/S2707368823000134
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author Yanshan HE
Rui WANG
Jinlian ZHU
Yingjia DENG
Yafang DENG
Yuanning ZENG
Qiuhong WANG
author_facet Yanshan HE
Rui WANG
Jinlian ZHU
Yingjia DENG
Yafang DENG
Yuanning ZENG
Qiuhong WANG
author_sort Yanshan HE
collection DOAJ
description [Abstract]: Objective: In this study, we used network pharmacology to explore the main targets and signaling pathways of Erchen decoction in the treatment of chronic bronchitis. Methods: The effective active ingredients of Erchen decoction were screened through the traditional Chinese medicine systems pharmacology database and analysis platform, and the relevant protein targets of chronic bronchitis were retrieved through the GeneCards database using the STRING platform to construct a protein–protein interaction network. Cytoscape software was used to construct drug-component-target network diagrams. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed on the intersection target genes. Results and conclusion: After database analysis, 256 active ingredients in Erchen decoction were screened as well as 110 targets related to chronic bronchitis and 188 related signaling pathways. Erchen decoction was found to play a potential role in the treatment of chronic bronchitis by regulating inflammation, immunity, cough, and phlegm and other multiple targets and multiple pathways.
format Article
id doaj-art-1fd0a25f60f9482c8a85909c7309cfd3
institution OA Journals
issn 2707-3688
language English
publishDate 2021-06-01
publisher KeAi Communications Co., Ltd.
record_format Article
series Journal of Holistic Integrative Pharmacy
spelling doaj-art-1fd0a25f60f9482c8a85909c7309cfd32025-08-20T02:14:03ZengKeAi Communications Co., Ltd.Journal of Holistic Integrative Pharmacy2707-36882021-06-01229611110.1016/S2707-3688(23)00013-4Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular dockingYanshan HE0Rui WANG1Jinlian ZHU2Yingjia DENG3Yafang DENG4Yuanning ZENG5Qiuhong WANG6School of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, ChinaKey Laboratory of Basic and Applied Research of Northern Medicine, Ministry of Education, Heilongjiang Key Laboratory of Pharmacodynamic Material Basis of Traditional Chinese Medicine (TCM) and Natural Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, ChinaSchool of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, ChinaSchool of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, ChinaSchool of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, ChinaSchool of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, ChinaSchool of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; [Corresponding author][Abstract]: Objective: In this study, we used network pharmacology to explore the main targets and signaling pathways of Erchen decoction in the treatment of chronic bronchitis. Methods: The effective active ingredients of Erchen decoction were screened through the traditional Chinese medicine systems pharmacology database and analysis platform, and the relevant protein targets of chronic bronchitis were retrieved through the GeneCards database using the STRING platform to construct a protein–protein interaction network. Cytoscape software was used to construct drug-component-target network diagrams. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed on the intersection target genes. Results and conclusion: After database analysis, 256 active ingredients in Erchen decoction were screened as well as 110 targets related to chronic bronchitis and 188 related signaling pathways. Erchen decoction was found to play a potential role in the treatment of chronic bronchitis by regulating inflammation, immunity, cough, and phlegm and other multiple targets and multiple pathways.http://www.sciencedirect.com/science/article/pii/S2707368823000134Erchen decoctionChronic bronchitisNetwork pharmacologyActive ingredientSignaling pathway
spellingShingle Yanshan HE
Rui WANG
Jinlian ZHU
Yingjia DENG
Yafang DENG
Yuanning ZENG
Qiuhong WANG
Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
Journal of Holistic Integrative Pharmacy
Erchen decoction
Chronic bronchitis
Network pharmacology
Active ingredient
Signaling pathway
title Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
title_full Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
title_fullStr Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
title_full_unstemmed Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
title_short Analysis of the mechanism of Erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
title_sort analysis of the mechanism of erchen decoction in treating chronic bronchitis based on network pharmacology and molecular docking
topic Erchen decoction
Chronic bronchitis
Network pharmacology
Active ingredient
Signaling pathway
url http://www.sciencedirect.com/science/article/pii/S2707368823000134
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