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Predictors of mortality in patients with COVID-19 by flow cytometry
Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in C...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918322/ https://www.ncbi.nlm.nih.gov/pubmed/38014400 http://dx.doi.org/10.1016/j.clicom.2023.02.003 |
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author | Izquierdo, Marco Bonilla Romo, Ana María Navas Zafra, Aurora Gema Sicilia Garrido, Juan de Dios López-González |
author_facet | Izquierdo, Marco Bonilla Romo, Ana María Navas Zafra, Aurora Gema Sicilia Garrido, Juan de Dios López-González |
author_sort | Izquierdo, Marco Bonilla |
collection | PubMed |
description | Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in COVID-19+ patients admitted to the Hospital Universitario Reina Sofía (HURS) using flow cytometry. The cytokines measured are IL-1ß, IL-6, MCP-1, IP-10, IL-10, IL-8, IL-12, IFN-γ and TNF-α. Given the absence of previous studies on cytokine values in healthy patients using the flow cytometry technique, and the low availability of resources in the first waves of COVID-19, a control group was lacking, all resources were employed for monitoring sick patients. However, this study has revealed a greater increase in two specific cytokines, which are also found to be higher than the rest in healthy patients: MCP-1 and IP-10, which are mainly responsible for cytokine storm and post-disease thrombosis. |
format | Online Article Text |
id | pubmed-9918322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99183222023-02-13 Predictors of mortality in patients with COVID-19 by flow cytometry Izquierdo, Marco Bonilla Romo, Ana María Navas Zafra, Aurora Gema Sicilia Garrido, Juan de Dios López-González Clinical Immunology Communications Article Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in COVID-19+ patients admitted to the Hospital Universitario Reina Sofía (HURS) using flow cytometry. The cytokines measured are IL-1ß, IL-6, MCP-1, IP-10, IL-10, IL-8, IL-12, IFN-γ and TNF-α. Given the absence of previous studies on cytokine values in healthy patients using the flow cytometry technique, and the low availability of resources in the first waves of COVID-19, a control group was lacking, all resources were employed for monitoring sick patients. However, this study has revealed a greater increase in two specific cytokines, which are also found to be higher than the rest in healthy patients: MCP-1 and IP-10, which are mainly responsible for cytokine storm and post-disease thrombosis. The Authors. Published by Elsevier Inc. 2023-12 2023-02-11 /pmc/articles/PMC9918322/ /pubmed/38014400 http://dx.doi.org/10.1016/j.clicom.2023.02.003 Text en © 2023 The Authors 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 Izquierdo, Marco Bonilla Romo, Ana María Navas Zafra, Aurora Gema Sicilia Garrido, Juan de Dios López-González Predictors of mortality in patients with COVID-19 by flow cytometry |
title | Predictors of mortality in patients with COVID-19 by flow cytometry |
title_full | Predictors of mortality in patients with COVID-19 by flow cytometry |
title_fullStr | Predictors of mortality in patients with COVID-19 by flow cytometry |
title_full_unstemmed | Predictors of mortality in patients with COVID-19 by flow cytometry |
title_short | Predictors of mortality in patients with COVID-19 by flow cytometry |
title_sort | predictors of mortality in patients with covid-19 by flow cytometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918322/ https://www.ncbi.nlm.nih.gov/pubmed/38014400 http://dx.doi.org/10.1016/j.clicom.2023.02.003 |
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