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Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients
Severe coronavirus disease 19 (COVID‐19) manifests with systemic immediate proinflammatory innate immune activation and altered iron turnover. Iron homeostasis, differentiation, and function of myeloid leukocytes are interconnected. Therefore, we characterized the cellularity, surface marker express...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348104/ https://www.ncbi.nlm.nih.gov/pubmed/35491910 http://dx.doi.org/10.1002/eji.202149680 |
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author | Haschka, David Petzer, Verena Burkert, Francesco Robert Fritsche, Gernot Wildner, Sophie Bellmann‐Weiler, Rosa Tymoszuk, Piotr Weiss, Guenter |
author_facet | Haschka, David Petzer, Verena Burkert, Francesco Robert Fritsche, Gernot Wildner, Sophie Bellmann‐Weiler, Rosa Tymoszuk, Piotr Weiss, Guenter |
author_sort | Haschka, David |
collection | PubMed |
description | Severe coronavirus disease 19 (COVID‐19) manifests with systemic immediate proinflammatory innate immune activation and altered iron turnover. Iron homeostasis, differentiation, and function of myeloid leukocytes are interconnected. Therefore, we characterized the cellularity, surface marker expression, and iron transporter phenotype of neutrophils and monocyte subsets in COVID‐19 patients within 72 h from hospital admission, and analyzed how these parameters relate to infection severity. Between March and November 2020, blood leukocyte samples from hospitalized COVID‐19 patients (n = 48) and healthy individuals (n = 7) were analyzed by flow cytometry enabling comparative analysis of 40 features. Inflammation‐driven neutrophil expansion, depletion of CD16(+) nonclassical monocytes, and changes in surface expression of neutrophil and monocyte CD64 and CD86 were associated with COVID‐19 severity. By unsupervised self‐organizing map clustering, four patterns of innate myeloid response were identified and linked to varying levels of systemic inflammation, altered cellular iron trafficking and the severity of disease. These alterations of the myeloid leukocyte compartment during acute COVID‐19 may be hallmarks of inefficient viral control and immune hyperactivation and may help at risk prediction and treatment optimization. |
format | Online Article Text |
id | pubmed-9348104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93481042022-08-04 Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients Haschka, David Petzer, Verena Burkert, Francesco Robert Fritsche, Gernot Wildner, Sophie Bellmann‐Weiler, Rosa Tymoszuk, Piotr Weiss, Guenter Eur J Immunol Immunity to infection Severe coronavirus disease 19 (COVID‐19) manifests with systemic immediate proinflammatory innate immune activation and altered iron turnover. Iron homeostasis, differentiation, and function of myeloid leukocytes are interconnected. Therefore, we characterized the cellularity, surface marker expression, and iron transporter phenotype of neutrophils and monocyte subsets in COVID‐19 patients within 72 h from hospital admission, and analyzed how these parameters relate to infection severity. Between March and November 2020, blood leukocyte samples from hospitalized COVID‐19 patients (n = 48) and healthy individuals (n = 7) were analyzed by flow cytometry enabling comparative analysis of 40 features. Inflammation‐driven neutrophil expansion, depletion of CD16(+) nonclassical monocytes, and changes in surface expression of neutrophil and monocyte CD64 and CD86 were associated with COVID‐19 severity. By unsupervised self‐organizing map clustering, four patterns of innate myeloid response were identified and linked to varying levels of systemic inflammation, altered cellular iron trafficking and the severity of disease. These alterations of the myeloid leukocyte compartment during acute COVID‐19 may be hallmarks of inefficient viral control and immune hyperactivation and may help at risk prediction and treatment optimization. John Wiley and Sons Inc. 2022-05-06 2022-08 /pmc/articles/PMC9348104/ /pubmed/35491910 http://dx.doi.org/10.1002/eji.202149680 Text en © 2022 The Authors. European Journal of Immunology published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Immunity to infection Haschka, David Petzer, Verena Burkert, Francesco Robert Fritsche, Gernot Wildner, Sophie Bellmann‐Weiler, Rosa Tymoszuk, Piotr Weiss, Guenter Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title | Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title_full | Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title_fullStr | Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title_full_unstemmed | Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title_short | Alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in COVID‐19 inpatients |
title_sort | alterations of blood monocyte subset distribution and surface phenotype are linked to infection severity in covid‐19 inpatients |
topic | Immunity to infection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348104/ https://www.ncbi.nlm.nih.gov/pubmed/35491910 http://dx.doi.org/10.1002/eji.202149680 |
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