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C-reactive protein as a possible marker for severity and mortality of COVID-19 infection
AIM: The present study aimed to introduce a possible biomarker to differentiate between severe and fatal conditions of COVID-19. BACKGROUND: The COVID-19 pandemic, appearing as a complicated health problem, has changed the lifestyle of people in recent years. Clinical findings indicate mild, severe,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817756/ https://www.ncbi.nlm.nih.gov/pubmed/35154611 |
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author | Tahery, Noorollah Khodadost, Mahmood Jahani Sherafat, Somayeh Rezaei Tavirani, Mostafa Ahmadi, Nayebali Montazer, Fatemeh Rezaei Tavirani, Majid Naderi, Nosratollah |
author_facet | Tahery, Noorollah Khodadost, Mahmood Jahani Sherafat, Somayeh Rezaei Tavirani, Mostafa Ahmadi, Nayebali Montazer, Fatemeh Rezaei Tavirani, Majid Naderi, Nosratollah |
author_sort | Tahery, Noorollah |
collection | PubMed |
description | AIM: The present study aimed to introduce a possible biomarker to differentiate between severe and fatal conditions of COVID-19. BACKGROUND: The COVID-19 pandemic, appearing as a complicated health problem, has changed the lifestyle of people in recent years. Clinical findings indicate mild, severe, and fatal conditions of this disease. Prediction of disease severity is a significant point in managing COVID-19 infection METHODS: In this study, 195 differentially expressed genes (DEGs) that discriminate between fatal and severe conditions in patients were extracted from the literature and screened to determine the significant ones. The significant DEGs plus the 90 first neighbors added from the STRING database were included in the interactome using Cytoscape software v 3.7.2. The central nodes of the analyzed network were identified and assessed. RESULTS: Ten significant DEGs were candidates for assessment, of which 9 were recognized by the STRING database. IL6, ALB, TNF, CRP, INS, MPO, C3, CXCL8, TTR, and TLR4 were determined as central nodes; IL6, CRP, and TTR were highlighted as the critical genes related to the severity of COVID-19 infection. CONCLUSION: CRP was identified as the best possible biomarker with levels related to the severity and fatality of COVID-19 infection. |
format | Online Article Text |
id | pubmed-8817756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-88177562022-02-11 C-reactive protein as a possible marker for severity and mortality of COVID-19 infection Tahery, Noorollah Khodadost, Mahmood Jahani Sherafat, Somayeh Rezaei Tavirani, Mostafa Ahmadi, Nayebali Montazer, Fatemeh Rezaei Tavirani, Majid Naderi, Nosratollah Gastroenterol Hepatol Bed Bench Original Article AIM: The present study aimed to introduce a possible biomarker to differentiate between severe and fatal conditions of COVID-19. BACKGROUND: The COVID-19 pandemic, appearing as a complicated health problem, has changed the lifestyle of people in recent years. Clinical findings indicate mild, severe, and fatal conditions of this disease. Prediction of disease severity is a significant point in managing COVID-19 infection METHODS: In this study, 195 differentially expressed genes (DEGs) that discriminate between fatal and severe conditions in patients were extracted from the literature and screened to determine the significant ones. The significant DEGs plus the 90 first neighbors added from the STRING database were included in the interactome using Cytoscape software v 3.7.2. The central nodes of the analyzed network were identified and assessed. RESULTS: Ten significant DEGs were candidates for assessment, of which 9 were recognized by the STRING database. IL6, ALB, TNF, CRP, INS, MPO, C3, CXCL8, TTR, and TLR4 were determined as central nodes; IL6, CRP, and TTR were highlighted as the critical genes related to the severity of COVID-19 infection. CONCLUSION: CRP was identified as the best possible biomarker with levels related to the severity and fatality of COVID-19 infection. Shaheed Beheshti University of Medical Sciences 2021 /pmc/articles/PMC8817756/ /pubmed/35154611 Text en ©2021 RIGLD, Research Institute for Gastroenterology and Liver Diseases https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Tahery, Noorollah Khodadost, Mahmood Jahani Sherafat, Somayeh Rezaei Tavirani, Mostafa Ahmadi, Nayebali Montazer, Fatemeh Rezaei Tavirani, Majid Naderi, Nosratollah C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title | C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title_full | C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title_fullStr | C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title_full_unstemmed | C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title_short | C-reactive protein as a possible marker for severity and mortality of COVID-19 infection |
title_sort | c-reactive protein as a possible marker for severity and mortality of covid-19 infection |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817756/ https://www.ncbi.nlm.nih.gov/pubmed/35154611 |
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