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Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data
Myeloid‐derived suppressor cells (MDSCs) are important regulators of immune processes during sepsis in mice. However, confirming these observations in humans has been challenging due to the lack of defined preparation protocols and phenotyping schemes for MDSC subsets. Thus, it remains unclear how M...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360154/ https://www.ncbi.nlm.nih.gov/pubmed/33788255 http://dx.doi.org/10.1002/eji.202049141 |
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author | De Zuani, Marco Hortová‐Kohoutková, Marcela Andrejčinová, Ivana Tomášková, Veronika Šrámek, Vladimír Helán, Martin Frič, Jan |
author_facet | De Zuani, Marco Hortová‐Kohoutková, Marcela Andrejčinová, Ivana Tomášková, Veronika Šrámek, Vladimír Helán, Martin Frič, Jan |
author_sort | De Zuani, Marco |
collection | PubMed |
description | Myeloid‐derived suppressor cells (MDSCs) are important regulators of immune processes during sepsis in mice. However, confirming these observations in humans has been challenging due to the lack of defined preparation protocols and phenotyping schemes for MDSC subsets. Thus, it remains unclear how MDSCs are involved in acute sepsis and whether they have a role in the long‐term complications seen in survivors. Here, we combined comprehensive flow cytometry phenotyping with unsupervised clustering using self‐organizing maps to identify the three recently defined human MDSC subsets in blood from severe sepsis patients, long‐term sepsis survivors, and age‐matched controls. We demonstrated the expansion of monocytic M‐MDSCs and polymorphonuclear PMN‐MDSCs, but not early‐stage (e)‐MDSCs during acute sepsis. High levels of PMN‐MDSCs were also present in long‐term survivors many months after discharge, suggesting a possible role in sepsis‐related complications. Altogether, by employing unsupervised clustering of flow cytometric data we have confirmed the likely involvement of human MDSC subsets in acute sepsis, and revealed their expansion in sepsis survivors at late time points. The application of this strategy in future studies and in the clinical/diagnostic context would enable rapid progress toward a full understanding of the roles of MDSC in sepsis and other inflammatory conditions. |
format | Online Article Text |
id | pubmed-8360154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83601542021-08-17 Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data De Zuani, Marco Hortová‐Kohoutková, Marcela Andrejčinová, Ivana Tomášková, Veronika Šrámek, Vladimír Helán, Martin Frič, Jan Eur J Immunol Immunity to infection Myeloid‐derived suppressor cells (MDSCs) are important regulators of immune processes during sepsis in mice. However, confirming these observations in humans has been challenging due to the lack of defined preparation protocols and phenotyping schemes for MDSC subsets. Thus, it remains unclear how MDSCs are involved in acute sepsis and whether they have a role in the long‐term complications seen in survivors. Here, we combined comprehensive flow cytometry phenotyping with unsupervised clustering using self‐organizing maps to identify the three recently defined human MDSC subsets in blood from severe sepsis patients, long‐term sepsis survivors, and age‐matched controls. We demonstrated the expansion of monocytic M‐MDSCs and polymorphonuclear PMN‐MDSCs, but not early‐stage (e)‐MDSCs during acute sepsis. High levels of PMN‐MDSCs were also present in long‐term survivors many months after discharge, suggesting a possible role in sepsis‐related complications. Altogether, by employing unsupervised clustering of flow cytometric data we have confirmed the likely involvement of human MDSC subsets in acute sepsis, and revealed their expansion in sepsis survivors at late time points. The application of this strategy in future studies and in the clinical/diagnostic context would enable rapid progress toward a full understanding of the roles of MDSC in sepsis and other inflammatory conditions. John Wiley and Sons Inc. 2021-05-05 2021-07 /pmc/articles/PMC8360154/ /pubmed/33788255 http://dx.doi.org/10.1002/eji.202049141 Text en © 2021 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 De Zuani, Marco Hortová‐Kohoutková, Marcela Andrejčinová, Ivana Tomášková, Veronika Šrámek, Vladimír Helán, Martin Frič, Jan Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title | Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title_full | Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title_fullStr | Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title_full_unstemmed | Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title_short | Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
title_sort | human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data |
topic | Immunity to infection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360154/ https://www.ncbi.nlm.nih.gov/pubmed/33788255 http://dx.doi.org/10.1002/eji.202049141 |
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