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Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course

The mechanisms underlying the immune response to coronavirus disease 2019 (COVID-19) and the recovery process have not been fully elucidated. The aim of the study was to analyze leukocyte subpopulations in patients at significant time points (at diagnosis, and 3 and 6 months after infection) selecte...

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Autores principales: Rutkowska, Elżbieta, Kwiecień, Iwona, Pietruszka-Wałęka, Ewa, Więsik-Szewczyk, Ewa, Rzepecki, Piotr, Jahnz-Różyk, Karina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604221/
https://www.ncbi.nlm.nih.gov/pubmed/37893102
http://dx.doi.org/10.3390/biomedicines11102728
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author Rutkowska, Elżbieta
Kwiecień, Iwona
Pietruszka-Wałęka, Ewa
Więsik-Szewczyk, Ewa
Rzepecki, Piotr
Jahnz-Różyk, Karina
author_facet Rutkowska, Elżbieta
Kwiecień, Iwona
Pietruszka-Wałęka, Ewa
Więsik-Szewczyk, Ewa
Rzepecki, Piotr
Jahnz-Różyk, Karina
author_sort Rutkowska, Elżbieta
collection PubMed
description The mechanisms underlying the immune response to coronavirus disease 2019 (COVID-19) and the recovery process have not been fully elucidated. The aim of the study was to analyze leukocyte subpopulations in patients at significant time points (at diagnosis, and 3 and 6 months after infection) selected according to the analysis of changes in the lungs by the CT classification system, considering the severity of the disease. The study groups consisted of severe and non-severe COVID-19 patients. There was a significant decrease in CD8+ T cells, NK and eosinophils, with an increasing percentage of neutrophils during hospitalization. We noticed lower levels of CD4 and CD8 T lymphocytes, eosinophils, basophils, and CD16+ monocytes and elevated neutrophil levels in severe patients relative to non-severe patients. Three months after infection, we observed higher levels of basophils, and after 6 months, higher CD4/CD8 ratios and T cell levels in the severe compared to non-severe group. Non-severe patients showed significant changes in the leukocyte populations studied at time of hospitalization and both within 3 months and 6 months of onset. The CT CSS classification with parameters of the flow cytometry method used for COVID-19 patients determined changes that proved useful in the initial evaluation of patients.
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spelling pubmed-106042212023-10-28 Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course Rutkowska, Elżbieta Kwiecień, Iwona Pietruszka-Wałęka, Ewa Więsik-Szewczyk, Ewa Rzepecki, Piotr Jahnz-Różyk, Karina Biomedicines Article The mechanisms underlying the immune response to coronavirus disease 2019 (COVID-19) and the recovery process have not been fully elucidated. The aim of the study was to analyze leukocyte subpopulations in patients at significant time points (at diagnosis, and 3 and 6 months after infection) selected according to the analysis of changes in the lungs by the CT classification system, considering the severity of the disease. The study groups consisted of severe and non-severe COVID-19 patients. There was a significant decrease in CD8+ T cells, NK and eosinophils, with an increasing percentage of neutrophils during hospitalization. We noticed lower levels of CD4 and CD8 T lymphocytes, eosinophils, basophils, and CD16+ monocytes and elevated neutrophil levels in severe patients relative to non-severe patients. Three months after infection, we observed higher levels of basophils, and after 6 months, higher CD4/CD8 ratios and T cell levels in the severe compared to non-severe group. Non-severe patients showed significant changes in the leukocyte populations studied at time of hospitalization and both within 3 months and 6 months of onset. The CT CSS classification with parameters of the flow cytometry method used for COVID-19 patients determined changes that proved useful in the initial evaluation of patients. MDPI 2023-10-08 /pmc/articles/PMC10604221/ /pubmed/37893102 http://dx.doi.org/10.3390/biomedicines11102728 Text en © 2023 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
Rutkowska, Elżbieta
Kwiecień, Iwona
Pietruszka-Wałęka, Ewa
Więsik-Szewczyk, Ewa
Rzepecki, Piotr
Jahnz-Różyk, Karina
Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title_full Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title_fullStr Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title_full_unstemmed Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title_short Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
title_sort analysis of leukocyte subpopulations by flow cytometry during hospitalization depending on the severity of covid-19 course
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604221/
https://www.ncbi.nlm.nih.gov/pubmed/37893102
http://dx.doi.org/10.3390/biomedicines11102728
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