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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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 |
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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 |
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