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Exploring effective components and molecular targets of Guizhi decoction for treatment of COVID-19 combined with allergic rhinitis based on network pharmacology and molecular docking
Chinese Pharmacological Bulletin ; 38(2):290-296, 2022.
Article in Chinese | EMBASE | ID: covidwho-2114210
ABSTRACT
Aim To explore the effeetive components and molecular targets of Guizhi decoetion in treating COVID-19 combined with allergic rhinitis.Methods The potential targets assoeiated with Guizhi deeoetion, allergie rhinitis and COVID-19 were sereened from TC- MSP and Gene Cards databases.Draw Venn Diagram website, String database, and Cytoscape software were used to obtain the common targets of drugs and diseases, followed by generation of PPI network and " herbal-active component-target" network as well as screening of core targets and key components based on the degree value.Metascape and KEGG databases were used for GO and KEGG enrichment analysis.Molecular docking was utilized to validate the affinity between the core targets and the key components.Results A total of 127 effective components of Guizhi decoction were screened, of which 108 components could combine with 52 common targets to exert the therapeutic effects.Common targets were mainly enriched in 1523 (X) terms and 145 KEGG signaling pathways.Molecular docking confirmed that the core targets could spontaneously combine with key components.Conclusions Guizhi decoction is mainly involved in the regulation of viral, immune and inflammation-related signaling pathways and biological cellular processes through the binding of active components such as flavonoids, phy- tosterols and phenols to common targets ( IL-6, TNF, MAPK3, etc.) , ultimately achieving the goal of treating COVID-19 and allergic rhinitis. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies Language: Chinese Journal: Chinese Pharmacological Bulletin Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies Language: Chinese Journal: Chinese Pharmacological Bulletin Year: 2022 Document Type: Article