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The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking

Acute pneumonia (AP) has a high seasonal prevalence every year, which seriously threatens the lives and health of patients. Six traditional Chinese medicines in Ruhao Dashi formula (RDF) have excellent antiinflammatory, antibacterial, and antiviral effects. RDF is commonly used in the clinical treat...

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Autores principales: Yi, Xiu-Xiu, Zhou, Hui-Fen, He, Yu, Yang, Can, Yu, Li, Wan, Hai-Tong, Chen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019263/
https://www.ncbi.nlm.nih.gov/pubmed/36930096
http://dx.doi.org/10.1097/MD.0000000000033276
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author Yi, Xiu-Xiu
Zhou, Hui-Fen
He, Yu
Yang, Can
Yu, Li
Wan, Hai-Tong
Chen, Jing
author_facet Yi, Xiu-Xiu
Zhou, Hui-Fen
He, Yu
Yang, Can
Yu, Li
Wan, Hai-Tong
Chen, Jing
author_sort Yi, Xiu-Xiu
collection PubMed
description Acute pneumonia (AP) has a high seasonal prevalence every year, which seriously threatens the lives and health of patients. Six traditional Chinese medicines in Ruhao Dashi formula (RDF) have excellent antiinflammatory, antibacterial, and antiviral effects. RDF is commonly used in the clinical treatment of AP. However, the mechanism and target of RDF are unclear. Therefore, this study aimed to use network pharmacology and molecular docking to evaluate the target and mechanism of RDF in the treatment of AP. METHODS: The Herbs and Disease Gene databases were searched to identify common targets of AP and RDF. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and Protein-Protein Interaction (PPI) network analyses were performed to identify the potential molecular mechanisms behind RDF. Molecular docking was performed to compare the binding activities of the active molecules with that of the target protein. RESULTS: The “drug-component-common target” network contained 64 active compounds and 134 targets. GO and KEGG analyses indicated that RDF could act by regulating cell death, cell proliferation, apoptosis, and hypoxic response. The PPI network and “pathway-target” network identified 31 core targets. Molecular docking revealed that the 14 active ingredients of RDF bind vigorously to the core targets. CONCLUSION: Through network pharmacology and molecular docking, we found that RDF contains 14 active components and 31 core AP targets. These targets were linked to the development of an antiinflammatory response and could be used to develop new drugs to treat AP.
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spelling pubmed-100192632023-03-17 The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking Yi, Xiu-Xiu Zhou, Hui-Fen He, Yu Yang, Can Yu, Li Wan, Hai-Tong Chen, Jing Medicine (Baltimore) 4200 Acute pneumonia (AP) has a high seasonal prevalence every year, which seriously threatens the lives and health of patients. Six traditional Chinese medicines in Ruhao Dashi formula (RDF) have excellent antiinflammatory, antibacterial, and antiviral effects. RDF is commonly used in the clinical treatment of AP. However, the mechanism and target of RDF are unclear. Therefore, this study aimed to use network pharmacology and molecular docking to evaluate the target and mechanism of RDF in the treatment of AP. METHODS: The Herbs and Disease Gene databases were searched to identify common targets of AP and RDF. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and Protein-Protein Interaction (PPI) network analyses were performed to identify the potential molecular mechanisms behind RDF. Molecular docking was performed to compare the binding activities of the active molecules with that of the target protein. RESULTS: The “drug-component-common target” network contained 64 active compounds and 134 targets. GO and KEGG analyses indicated that RDF could act by regulating cell death, cell proliferation, apoptosis, and hypoxic response. The PPI network and “pathway-target” network identified 31 core targets. Molecular docking revealed that the 14 active ingredients of RDF bind vigorously to the core targets. CONCLUSION: Through network pharmacology and molecular docking, we found that RDF contains 14 active components and 31 core AP targets. These targets were linked to the development of an antiinflammatory response and could be used to develop new drugs to treat AP. Lippincott Williams & Wilkins 2023-03-17 /pmc/articles/PMC10019263/ /pubmed/36930096 http://dx.doi.org/10.1097/MD.0000000000033276 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 4200
Yi, Xiu-Xiu
Zhou, Hui-Fen
He, Yu
Yang, Can
Yu, Li
Wan, Hai-Tong
Chen, Jing
The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title_full The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title_fullStr The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title_full_unstemmed The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title_short The potential mechanism of the Ruhao Dashi formula in treating acute pneumonia via network pharmacology and molecular docking
title_sort potential mechanism of the ruhao dashi formula in treating acute pneumonia via network pharmacology and molecular docking
topic 4200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019263/
https://www.ncbi.nlm.nih.gov/pubmed/36930096
http://dx.doi.org/10.1097/MD.0000000000033276
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