Cargando…

Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments

Coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by a novel coronavirus. Traditional Chinese medicine (TCM) has been proven to have a potential curative effect on COVID-19. This study preliminarily analyzed the existing TCM prescription’s key components and action mechanisms...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jiakai, Zhuang, Qianqian, Zhang, Chi, Liu, Xinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695544/
http://dx.doi.org/10.1097/MD.0000000000036238
_version_ 1785153588763295744
author Yang, Jiakai
Zhuang, Qianqian
Zhang, Chi
Liu, Xinli
author_facet Yang, Jiakai
Zhuang, Qianqian
Zhang, Chi
Liu, Xinli
author_sort Yang, Jiakai
collection PubMed
description Coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by a novel coronavirus. Traditional Chinese medicine (TCM) has been proven to have a potential curative effect on COVID-19. This study preliminarily analyzed the existing TCM prescription’s key components and action mechanisms for preventing and treating COVID-19 using bioinformatic and experimental methods. Association and clustering analysis reveals that the “HQ + FF + BZ” drug combination had a strong correlation and confidence in 93 TCM prescriptions and may affect the progression of COVID-19 through inflammatory pathways such as the TNF signaling pathway. Further molecular docking revealed that quercetin has a higher affinity for IL6 and IL10 in the TNF signaling pathway associated with COVID-19. In vitro experiments demonstrated that quercetin could effectively reduce the levels of the inflammatory factor IL-6 and increase the anti-inflammatory factor IL-10, alleviating inflammation impact on cells. Our results provide a new understanding of the molecular mechanism of TCM prevention and treatment of COVID-19, which is helpful to the development of new diagnosis and treatment schemes for COVID-19.
format Online
Article
Text
id pubmed-10695544
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-106955442023-12-05 Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments Yang, Jiakai Zhuang, Qianqian Zhang, Chi Liu, Xinli Medicine (Baltimore) 3800 Coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by a novel coronavirus. Traditional Chinese medicine (TCM) has been proven to have a potential curative effect on COVID-19. This study preliminarily analyzed the existing TCM prescription’s key components and action mechanisms for preventing and treating COVID-19 using bioinformatic and experimental methods. Association and clustering analysis reveals that the “HQ + FF + BZ” drug combination had a strong correlation and confidence in 93 TCM prescriptions and may affect the progression of COVID-19 through inflammatory pathways such as the TNF signaling pathway. Further molecular docking revealed that quercetin has a higher affinity for IL6 and IL10 in the TNF signaling pathway associated with COVID-19. In vitro experiments demonstrated that quercetin could effectively reduce the levels of the inflammatory factor IL-6 and increase the anti-inflammatory factor IL-10, alleviating inflammation impact on cells. Our results provide a new understanding of the molecular mechanism of TCM prevention and treatment of COVID-19, which is helpful to the development of new diagnosis and treatment schemes for COVID-19. Lippincott Williams & Wilkins 2023-12-01 /pmc/articles/PMC10695544/ http://dx.doi.org/10.1097/MD.0000000000036238 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 3800
Yang, Jiakai
Zhuang, Qianqian
Zhang, Chi
Liu, Xinli
Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title_full Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title_fullStr Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title_full_unstemmed Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title_short Active ingredient and mechanistic analysis of traditional Chinese medicine formulas for the prevention and treatment of COVID-19: Insights from bioinformatics and in vitro experiments
title_sort active ingredient and mechanistic analysis of traditional chinese medicine formulas for the prevention and treatment of covid-19: insights from bioinformatics and in vitro experiments
topic 3800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695544/
http://dx.doi.org/10.1097/MD.0000000000036238
work_keys_str_mv AT yangjiakai activeingredientandmechanisticanalysisoftraditionalchinesemedicineformulasforthepreventionandtreatmentofcovid19insightsfrombioinformaticsandinvitroexperiments
AT zhuangqianqian activeingredientandmechanisticanalysisoftraditionalchinesemedicineformulasforthepreventionandtreatmentofcovid19insightsfrombioinformaticsandinvitroexperiments
AT zhangchi activeingredientandmechanisticanalysisoftraditionalchinesemedicineformulasforthepreventionandtreatmentofcovid19insightsfrombioinformaticsandinvitroexperiments
AT liuxinli activeingredientandmechanisticanalysisoftraditionalchinesemedicineformulasforthepreventionandtreatmentofcovid19insightsfrombioinformaticsandinvitroexperiments