A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines

Coronavirus disease-2019 (COVID-19) has become a major global epidemic. Facilitated by HTS(2) technology, we evaluated the effects of 578 herbs and all 338 reported anti-COVID-19 TCM formulae on cytokine storm-related signaling pathways, and identified the key targets of the relevant pathways and po...

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Autores principales: Dai, Yifei, Qiang, Weijie, Gui, Yu, Tan, Xue, Pei, Tianli, Lin, Kequan, Cai, Siwei, Sun, Liang, Ning, Guochen, Wang, Jianxun, Guo, Hongyan, Sun, Yimin, Cheng, Jing, Xie, Lan, Lan, Xun, Wang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science China Press. Published by Elsevier B.V. and Science China Press. 2021
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803147/
https://www.ncbi.nlm.nih.gov/pubmed/33457042
http://dx.doi.org/10.1016/j.scib.2021.01.005
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author Dai, Yifei
Qiang, Weijie
Gui, Yu
Tan, Xue
Pei, Tianli
Lin, Kequan
Cai, Siwei
Sun, Liang
Ning, Guochen
Wang, Jianxun
Guo, Hongyan
Sun, Yimin
Cheng, Jing
Xie, Lan
Lan, Xun
Wang, Dong
author_facet Dai, Yifei
Qiang, Weijie
Gui, Yu
Tan, Xue
Pei, Tianli
Lin, Kequan
Cai, Siwei
Sun, Liang
Ning, Guochen
Wang, Jianxun
Guo, Hongyan
Sun, Yimin
Cheng, Jing
Xie, Lan
Lan, Xun
Wang, Dong
author_sort Dai, Yifei
collection PubMed
description Coronavirus disease-2019 (COVID-19) has become a major global epidemic. Facilitated by HTS(2) technology, we evaluated the effects of 578 herbs and all 338 reported anti-COVID-19 TCM formulae on cytokine storm-related signaling pathways, and identified the key targets of the relevant pathways and potential active ingredients in these herbs. This large-scale transcriptional study innovatively combines HTS(2) technology with bioinformatics methods and computer-aided drug design. For the first time, it systematically explores the molecular mechanism of TCM in regulating the COVID-19-related cytokine storm, providing an important scientific basis for elucidating the mechanism of action of TCM in treating COVID-19. [Figure: see text]
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spelling pubmed-78031472021-01-13 A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines Dai, Yifei Qiang, Weijie Gui, Yu Tan, Xue Pei, Tianli Lin, Kequan Cai, Siwei Sun, Liang Ning, Guochen Wang, Jianxun Guo, Hongyan Sun, Yimin Cheng, Jing Xie, Lan Lan, Xun Wang, Dong Sci Bull (Beijing) Short Communication Coronavirus disease-2019 (COVID-19) has become a major global epidemic. Facilitated by HTS(2) technology, we evaluated the effects of 578 herbs and all 338 reported anti-COVID-19 TCM formulae on cytokine storm-related signaling pathways, and identified the key targets of the relevant pathways and potential active ingredients in these herbs. This large-scale transcriptional study innovatively combines HTS(2) technology with bioinformatics methods and computer-aided drug design. For the first time, it systematically explores the molecular mechanism of TCM in regulating the COVID-19-related cytokine storm, providing an important scientific basis for elucidating the mechanism of action of TCM in treating COVID-19. [Figure: see text] Science China Press. Published by Elsevier B.V. and Science China Press. 2021-05-15 2021-01-12 /pmc/articles/PMC7803147/ /pubmed/33457042 http://dx.doi.org/10.1016/j.scib.2021.01.005 Text en © 2021 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Dai, Yifei
Qiang, Weijie
Gui, Yu
Tan, Xue
Pei, Tianli
Lin, Kequan
Cai, Siwei
Sun, Liang
Ning, Guochen
Wang, Jianxun
Guo, Hongyan
Sun, Yimin
Cheng, Jing
Xie, Lan
Lan, Xun
Wang, Dong
A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title_full A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title_fullStr A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title_full_unstemmed A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title_short A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines
title_sort large-scale transcriptional study reveals inhibition of covid-19 related cytokine storm by traditional chinese medicines
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803147/
https://www.ncbi.nlm.nih.gov/pubmed/33457042
http://dx.doi.org/10.1016/j.scib.2021.01.005
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