Cargando…

Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19

Coronavirus disease 2019 (COVID-19) is caused by a new coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently spreading all over the world. In this paper, we developed a practical model for identifying the features of cytokine storm, which is common in acut...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Wei-Xi, Luo, Rong-Cheng, Wang, Jing-Quan, Chen, Zhe-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180556/
https://www.ncbi.nlm.nih.gov/pubmed/34109148
http://dx.doi.org/10.3389/fpubh.2021.671788
_version_ 1783704015794601984
author Shen, Wei-Xi
Luo, Rong-Cheng
Wang, Jing-Quan
Chen, Zhe-Sheng
author_facet Shen, Wei-Xi
Luo, Rong-Cheng
Wang, Jing-Quan
Chen, Zhe-Sheng
author_sort Shen, Wei-Xi
collection PubMed
description Coronavirus disease 2019 (COVID-19) is caused by a new coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently spreading all over the world. In this paper, we developed a practical model for identifying the features of cytokine storm, which is common in acute infectious diseases and harmful manifestation of COVID-19, by distinguishing major and minor clinical events. This model is particularly suitable for identifying febrile and infectious diseases like COVID-19. Based on this model, features of cytokine storm and pathogenesis of COVID-19 have been proposed to be a consequence of the disequilibrated cytokine network resulting from increased biological activity of transforming growth factor-β (TGF-β), which induces certain clinical manifestations such as fatigue, fever, dry cough, pneumonia, abatement and losing of olfactory, and taste senses in some patients. Research and clarification of the pathogenesis of COVID-19 will contribute to precision treatment. Various anti-TGF-β therapies may be explored as potential COVID-19 treatment. This novel model will be helpful in reducing the widespread mortality of COVID-19.
format Online
Article
Text
id pubmed-8180556
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-81805562021-06-08 Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19 Shen, Wei-Xi Luo, Rong-Cheng Wang, Jing-Quan Chen, Zhe-Sheng Front Public Health Public Health Coronavirus disease 2019 (COVID-19) is caused by a new coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently spreading all over the world. In this paper, we developed a practical model for identifying the features of cytokine storm, which is common in acute infectious diseases and harmful manifestation of COVID-19, by distinguishing major and minor clinical events. This model is particularly suitable for identifying febrile and infectious diseases like COVID-19. Based on this model, features of cytokine storm and pathogenesis of COVID-19 have been proposed to be a consequence of the disequilibrated cytokine network resulting from increased biological activity of transforming growth factor-β (TGF-β), which induces certain clinical manifestations such as fatigue, fever, dry cough, pneumonia, abatement and losing of olfactory, and taste senses in some patients. Research and clarification of the pathogenesis of COVID-19 will contribute to precision treatment. Various anti-TGF-β therapies may be explored as potential COVID-19 treatment. This novel model will be helpful in reducing the widespread mortality of COVID-19. Frontiers Media S.A. 2021-05-24 /pmc/articles/PMC8180556/ /pubmed/34109148 http://dx.doi.org/10.3389/fpubh.2021.671788 Text en Copyright © 2021 Shen, Luo, Wang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Shen, Wei-Xi
Luo, Rong-Cheng
Wang, Jing-Quan
Chen, Zhe-Sheng
Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title_full Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title_fullStr Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title_full_unstemmed Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title_short Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19
title_sort features of cytokine storm identified by distinguishing clinical manifestations in covid-19
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180556/
https://www.ncbi.nlm.nih.gov/pubmed/34109148
http://dx.doi.org/10.3389/fpubh.2021.671788
work_keys_str_mv AT shenweixi featuresofcytokinestormidentifiedbydistinguishingclinicalmanifestationsincovid19
AT luorongcheng featuresofcytokinestormidentifiedbydistinguishingclinicalmanifestationsincovid19
AT wangjingquan featuresofcytokinestormidentifiedbydistinguishingclinicalmanifestationsincovid19
AT chenzhesheng featuresofcytokinestormidentifiedbydistinguishingclinicalmanifestationsincovid19