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An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis

The hyper-inflammatory response is thought to be a major cause of acute respiratory distress syndrome (ARDS) in patients with COVID-19. Although multiple cytokines are reportedly associated with disease severity, the key mediators of SARS-CoV-2 induced cytokine storm and their predictive values have...

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Autores principales: Liu, Yili, Chen, Daihong, Hou, Junjie, Li, Haicong, Cao, Dan, Guo, Mingquan, Ling, Yun, Gao, Menglu, Zhou, Yi, Wan, Yanmin, Zhu, Zhaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651249/
https://www.ncbi.nlm.nih.gov/pubmed/33246770
http://dx.doi.org/10.1016/j.cyto.2020.155365
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author Liu, Yili
Chen, Daihong
Hou, Junjie
Li, Haicong
Cao, Dan
Guo, Mingquan
Ling, Yun
Gao, Menglu
Zhou, Yi
Wan, Yanmin
Zhu, Zhaoqin
author_facet Liu, Yili
Chen, Daihong
Hou, Junjie
Li, Haicong
Cao, Dan
Guo, Mingquan
Ling, Yun
Gao, Menglu
Zhou, Yi
Wan, Yanmin
Zhu, Zhaoqin
author_sort Liu, Yili
collection PubMed
description The hyper-inflammatory response is thought to be a major cause of acute respiratory distress syndrome (ARDS) in patients with COVID-19. Although multiple cytokines are reportedly associated with disease severity, the key mediators of SARS-CoV-2 induced cytokine storm and their predictive values have not been fully elucidated. The present study analyzed maximal and early (within 10 days after disease onset) concentrations of 12-plex cytokines in plasma. We found consistently elevated plasma levels of IL-6, IL-8 and IL-5 in patients who were deceased compared with those who had mild/moderate or severe disease. The early plasma concentrations of IFN-a and IL-2 positively correlated with the length of the disease course. Moreover, correlation network analysis showed that IL-6, IL-8, and IL-5 located at the center of an inter-correlated cytokine network. These findings suggested that IL-8, IL-6, IL-5 might play central roles in cytokine storms associated with COVID-19 and that the early detection of multiple plasma cytokines might help to predict the prognosis of this disease.
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spelling pubmed-76512492020-11-10 An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis Liu, Yili Chen, Daihong Hou, Junjie Li, Haicong Cao, Dan Guo, Mingquan Ling, Yun Gao, Menglu Zhou, Yi Wan, Yanmin Zhu, Zhaoqin Cytokine Article The hyper-inflammatory response is thought to be a major cause of acute respiratory distress syndrome (ARDS) in patients with COVID-19. Although multiple cytokines are reportedly associated with disease severity, the key mediators of SARS-CoV-2 induced cytokine storm and their predictive values have not been fully elucidated. The present study analyzed maximal and early (within 10 days after disease onset) concentrations of 12-plex cytokines in plasma. We found consistently elevated plasma levels of IL-6, IL-8 and IL-5 in patients who were deceased compared with those who had mild/moderate or severe disease. The early plasma concentrations of IFN-a and IL-2 positively correlated with the length of the disease course. Moreover, correlation network analysis showed that IL-6, IL-8, and IL-5 located at the center of an inter-correlated cytokine network. These findings suggested that IL-8, IL-6, IL-5 might play central roles in cytokine storms associated with COVID-19 and that the early detection of multiple plasma cytokines might help to predict the prognosis of this disease. Elsevier Ltd. 2021-02 2020-11-09 /pmc/articles/PMC7651249/ /pubmed/33246770 http://dx.doi.org/10.1016/j.cyto.2020.155365 Text en © 2020 Elsevier Ltd. 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 Article
Liu, Yili
Chen, Daihong
Hou, Junjie
Li, Haicong
Cao, Dan
Guo, Mingquan
Ling, Yun
Gao, Menglu
Zhou, Yi
Wan, Yanmin
Zhu, Zhaoqin
An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title_full An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title_fullStr An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title_full_unstemmed An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title_short An inter-correlated cytokine network identified at the center of cytokine storm predicted COVID-19 prognosis
title_sort inter-correlated cytokine network identified at the center of cytokine storm predicted covid-19 prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651249/
https://www.ncbi.nlm.nih.gov/pubmed/33246770
http://dx.doi.org/10.1016/j.cyto.2020.155365
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