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Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against?
(1) Background/Aim: People infected with SARS-CoV-2 may develop COVID-19 in a wide range of clinical severity. Pulmonary fibrosis is characterized by several grades of chronic inflammation and collagen deposition in the interalveolar space. SARS-CoV-2 infection has been demonstrated to cause lung fi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600496/ https://www.ncbi.nlm.nih.gov/pubmed/36286038 http://dx.doi.org/10.3390/cimb44100323 |
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author | Basheer, Maamoun Saad, Elias Kananeh, Majd Asad, Layyous Khayat, Osama Badarne, Anan Abdo, Zaki Arraf, Nada Milhem, Faris Bassal, Tamara Boulos, Mariana Assy, Nimer |
author_facet | Basheer, Maamoun Saad, Elias Kananeh, Majd Asad, Layyous Khayat, Osama Badarne, Anan Abdo, Zaki Arraf, Nada Milhem, Faris Bassal, Tamara Boulos, Mariana Assy, Nimer |
author_sort | Basheer, Maamoun |
collection | PubMed |
description | (1) Background/Aim: People infected with SARS-CoV-2 may develop COVID-19 in a wide range of clinical severity. Pulmonary fibrosis is characterized by several grades of chronic inflammation and collagen deposition in the interalveolar space. SARS-CoV-2 infection has been demonstrated to cause lung fibrosis without a currently elucidated mechanism. Some studies emphasize the role of proinflammatory cytokines. This research studies the correlation of the released cytokines with mortality or lung injury in COVID-19 patients. (2) Methods: Electronic medical record data from 40 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel, were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The cytokine levels were measured upon admission and discharge. A correlation between cytokine levels and severity and mortality or lung involvement was undertaken. (3) Results: IFN-gamma and IL-10 are the most powerful risk factors for mortality in the COVID-19 patient groups in a multivariate analysis. However, in a univariate analysis, TGF-β, CXCL-10, IFN gamma, and IL-7 affected mortality in COVID-19 patients. MMP-7 was significantly correlated with a cytokine storm and a high 4-C (severity) score in COVID-19 patients. MMP-7, TGF-β, IL-10, IL-7, TNF-α, and IL-6 were correlated with high lung involvement in COVID-19 patients. Serum concentrations of IGF-1 were significantly increased upon discharge, but MMP-7 was decreased. (4) Conclusions: Proinflammatory cytokines predict clinical severity, lung fibrosis, and mortality in COVID-19 patients. High concentrations of TGF-β, CXCL-10, IL-10, IL-6, and TNF-α are correlated to severity and lung injury. However, certain cytokines have protective effects and higher levels of these cytokines increase survival levels and lower lung damage. High levels of INF-γ, IL-7, MMP-7, and IGF-1 have protection probabilities against lung injury and severity. |
format | Online Article Text |
id | pubmed-9600496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96004962022-10-27 Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? Basheer, Maamoun Saad, Elias Kananeh, Majd Asad, Layyous Khayat, Osama Badarne, Anan Abdo, Zaki Arraf, Nada Milhem, Faris Bassal, Tamara Boulos, Mariana Assy, Nimer Curr Issues Mol Biol Article (1) Background/Aim: People infected with SARS-CoV-2 may develop COVID-19 in a wide range of clinical severity. Pulmonary fibrosis is characterized by several grades of chronic inflammation and collagen deposition in the interalveolar space. SARS-CoV-2 infection has been demonstrated to cause lung fibrosis without a currently elucidated mechanism. Some studies emphasize the role of proinflammatory cytokines. This research studies the correlation of the released cytokines with mortality or lung injury in COVID-19 patients. (2) Methods: Electronic medical record data from 40 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel, were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The cytokine levels were measured upon admission and discharge. A correlation between cytokine levels and severity and mortality or lung involvement was undertaken. (3) Results: IFN-gamma and IL-10 are the most powerful risk factors for mortality in the COVID-19 patient groups in a multivariate analysis. However, in a univariate analysis, TGF-β, CXCL-10, IFN gamma, and IL-7 affected mortality in COVID-19 patients. MMP-7 was significantly correlated with a cytokine storm and a high 4-C (severity) score in COVID-19 patients. MMP-7, TGF-β, IL-10, IL-7, TNF-α, and IL-6 were correlated with high lung involvement in COVID-19 patients. Serum concentrations of IGF-1 were significantly increased upon discharge, but MMP-7 was decreased. (4) Conclusions: Proinflammatory cytokines predict clinical severity, lung fibrosis, and mortality in COVID-19 patients. High concentrations of TGF-β, CXCL-10, IL-10, IL-6, and TNF-α are correlated to severity and lung injury. However, certain cytokines have protective effects and higher levels of these cytokines increase survival levels and lower lung damage. High levels of INF-γ, IL-7, MMP-7, and IGF-1 have protection probabilities against lung injury and severity. MDPI 2022-10-10 /pmc/articles/PMC9600496/ /pubmed/36286038 http://dx.doi.org/10.3390/cimb44100323 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Basheer, Maamoun Saad, Elias Kananeh, Majd Asad, Layyous Khayat, Osama Badarne, Anan Abdo, Zaki Arraf, Nada Milhem, Faris Bassal, Tamara Boulos, Mariana Assy, Nimer Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title | Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title_full | Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title_fullStr | Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title_full_unstemmed | Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title_short | Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against? |
title_sort | cytokine patterns in covid-19 patients: which cytokines predict mortality and which protect against? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600496/ https://www.ncbi.nlm.nih.gov/pubmed/36286038 http://dx.doi.org/10.3390/cimb44100323 |
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