Analysis of Leukocyte Subpopulations by Flow Cytometry during Hospitalization Depending on the Severity of COVID-19 Course
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Published:2023-10-08
Issue:10
Volume:11
Page:2728
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ISSN:2227-9059
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Container-title:Biomedicines
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language:en
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Short-container-title:Biomedicines
Author:
Rutkowska Elżbieta1, Kwiecień Iwona1ORCID, Pietruszka-Wałęka Ewa2, Więsik-Szewczyk Ewa2ORCID, Rzepecki Piotr3, Jahnz-Różyk Karina2ORCID
Affiliation:
1. Laboratory of Flow Cytometry, Department of Internal Medicine and Hematology, Military Institute of Medicine Warsaw—National Research Institute, 04-141 Warsaw, Poland 2. Department of Internal Medicine, Pulmonology, Allergology and Clinical Immunology, Military Institute of Medicine Warsaw—National Research Institute, 04-141 Warsaw, Poland 3. Department of Internal Medicine and Hematology, Military Institute of Medicine Warsaw—National Research Institute, 04-141 Warsaw, Poland
Abstract
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.
Funder
Military Institute of Medicine- National Research Institute
Subject
General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)
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