Cargando…

Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study

BACKGROUND: De-regulated host response to severe coronavirus disease 2019 (COVID-19), directly referring to the concept of sepsis-associated immunological dysregulation, seems to be a strong signature of severe COVID-19. Myeloid cells phenotyping is well recognized to diagnose critical illness-induc...

Descripción completa

Detalles Bibliográficos
Autores principales: Marais, Clémence, Claude, Caroline, Semaan, Nada, Charbel, Ramy, Barreault, Simon, Travert, Brendan, Piloquet, Jean-Eudes, Demailly, Zoé, Morin, Luc, Merchaoui, Zied, Teboul, Jean-Louis, Durand, Philippe, Miatello, Jordi, Tissières, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278374/
https://www.ncbi.nlm.nih.gov/pubmed/34259942
http://dx.doi.org/10.1186/s13613-021-00896-4
_version_ 1783722246790971392
author Marais, Clémence
Claude, Caroline
Semaan, Nada
Charbel, Ramy
Barreault, Simon
Travert, Brendan
Piloquet, Jean-Eudes
Demailly, Zoé
Morin, Luc
Merchaoui, Zied
Teboul, Jean-Louis
Durand, Philippe
Miatello, Jordi
Tissières, Pierre
author_facet Marais, Clémence
Claude, Caroline
Semaan, Nada
Charbel, Ramy
Barreault, Simon
Travert, Brendan
Piloquet, Jean-Eudes
Demailly, Zoé
Morin, Luc
Merchaoui, Zied
Teboul, Jean-Louis
Durand, Philippe
Miatello, Jordi
Tissières, Pierre
author_sort Marais, Clémence
collection PubMed
description BACKGROUND: De-regulated host response to severe coronavirus disease 2019 (COVID-19), directly referring to the concept of sepsis-associated immunological dysregulation, seems to be a strong signature of severe COVID-19. Myeloid cells phenotyping is well recognized to diagnose critical illness-induced immunodepression in sepsis and has not been well characterized in COVID-19. The aim of this study is to review phenotypic characteristics of myeloid cells and evaluate their relations with the occurrence of secondary infection and mortality in patients with COVID-19 admitted in an intensive care unit. METHODS: Retrospective analysis of the circulating myeloid cells phenotypes of adult COVID-19 critically ill patients. Phenotyping circulating immune cells was performed by flow cytometry daily for routine analysis and twice weekly for lymphocytes and monocytes subpopulations analysis, as well as monocyte human leukocyte antigen (mHLA)-DR expression. RESULTS: Out of the 29 critically ill adult patients with severe COVID-19 analyzed, 12 (41.4%) developed secondary infection and six patients died during their stay. Monocyte HLA-DR kinetics was significantly different between patients developing secondary infection and those without, respectively, at day 5–7 and 8–10 following admission. The monocytes myeloid-derived suppressor cells to total monocytes ratio was associated with 28- and 60-day mortality. Those myeloid characteristics suggest three phenotypes: hyperactivated monocyte/macrophage is significantly associated with mortality, whereas persistent immunodepression is associated with secondary infection occurrence compared to transient immunodepression. CONCLUSIONS: Myeloid phenotypes of critically ill COVID-19 patients may be associated with development of secondary infection, 28- and 60-day mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-021-00896-4.
format Online
Article
Text
id pubmed-8278374
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-82783742021-07-14 Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study Marais, Clémence Claude, Caroline Semaan, Nada Charbel, Ramy Barreault, Simon Travert, Brendan Piloquet, Jean-Eudes Demailly, Zoé Morin, Luc Merchaoui, Zied Teboul, Jean-Louis Durand, Philippe Miatello, Jordi Tissières, Pierre Ann Intensive Care Research BACKGROUND: De-regulated host response to severe coronavirus disease 2019 (COVID-19), directly referring to the concept of sepsis-associated immunological dysregulation, seems to be a strong signature of severe COVID-19. Myeloid cells phenotyping is well recognized to diagnose critical illness-induced immunodepression in sepsis and has not been well characterized in COVID-19. The aim of this study is to review phenotypic characteristics of myeloid cells and evaluate their relations with the occurrence of secondary infection and mortality in patients with COVID-19 admitted in an intensive care unit. METHODS: Retrospective analysis of the circulating myeloid cells phenotypes of adult COVID-19 critically ill patients. Phenotyping circulating immune cells was performed by flow cytometry daily for routine analysis and twice weekly for lymphocytes and monocytes subpopulations analysis, as well as monocyte human leukocyte antigen (mHLA)-DR expression. RESULTS: Out of the 29 critically ill adult patients with severe COVID-19 analyzed, 12 (41.4%) developed secondary infection and six patients died during their stay. Monocyte HLA-DR kinetics was significantly different between patients developing secondary infection and those without, respectively, at day 5–7 and 8–10 following admission. The monocytes myeloid-derived suppressor cells to total monocytes ratio was associated with 28- and 60-day mortality. Those myeloid characteristics suggest three phenotypes: hyperactivated monocyte/macrophage is significantly associated with mortality, whereas persistent immunodepression is associated with secondary infection occurrence compared to transient immunodepression. CONCLUSIONS: Myeloid phenotypes of critically ill COVID-19 patients may be associated with development of secondary infection, 28- and 60-day mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-021-00896-4. Springer International Publishing 2021-07-14 /pmc/articles/PMC8278374/ /pubmed/34259942 http://dx.doi.org/10.1186/s13613-021-00896-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Marais, Clémence
Claude, Caroline
Semaan, Nada
Charbel, Ramy
Barreault, Simon
Travert, Brendan
Piloquet, Jean-Eudes
Demailly, Zoé
Morin, Luc
Merchaoui, Zied
Teboul, Jean-Louis
Durand, Philippe
Miatello, Jordi
Tissières, Pierre
Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title_full Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title_fullStr Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title_full_unstemmed Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title_short Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study
title_sort myeloid phenotypes in severe covid-19 predict secondary infection and mortality: a pilot study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278374/
https://www.ncbi.nlm.nih.gov/pubmed/34259942
http://dx.doi.org/10.1186/s13613-021-00896-4
work_keys_str_mv AT maraisclemence myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT claudecaroline myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT semaannada myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT charbelramy myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT barreaultsimon myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT travertbrendan myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT piloquetjeaneudes myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT demaillyzoe myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT morinluc myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT merchaouizied myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT tebouljeanlouis myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT durandphilippe myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT miatellojordi myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT tissierespierre myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy
AT myeloidphenotypesinseverecovid19predictsecondaryinfectionandmortalityapilotstudy