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Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality

Sepsis is a severe life-threatening syndrome caused by dysregulated host responses to infection. Biomarkers that allow for monitoring the patient’s immune status are needed. Recently, a flow cytometry-based detection of in vivo inflammasome activation by formation of cytoplasmic aggregates of ASC (a...

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Autores principales: Cui, Jing, Oehrl, Stephanie, Ahmad, Fareed, Brenner, Thorsten, Uhle, Florian, Nusshag, Christian, Rupp, Christoph, Funck, Felix, Meisel, Stefan, Weigand, Markus A., Morath, Christian, Schäkel, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889521/
https://www.ncbi.nlm.nih.gov/pubmed/33613537
http://dx.doi.org/10.3389/fimmu.2020.613745
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author Cui, Jing
Oehrl, Stephanie
Ahmad, Fareed
Brenner, Thorsten
Uhle, Florian
Nusshag, Christian
Rupp, Christoph
Funck, Felix
Meisel, Stefan
Weigand, Markus A.
Morath, Christian
Schäkel, Knut
author_facet Cui, Jing
Oehrl, Stephanie
Ahmad, Fareed
Brenner, Thorsten
Uhle, Florian
Nusshag, Christian
Rupp, Christoph
Funck, Felix
Meisel, Stefan
Weigand, Markus A.
Morath, Christian
Schäkel, Knut
author_sort Cui, Jing
collection PubMed
description Sepsis is a severe life-threatening syndrome caused by dysregulated host responses to infection. Biomarkers that allow for monitoring the patient’s immune status are needed. Recently, a flow cytometry-based detection of in vivo inflammasome activation by formation of cytoplasmic aggregates of ASC (apoptosis-associated speck-like protein containing a caspase recruitment domain) has been proposed. Here we report on the frequency of ASC-speck(+) leukocytes correlating with the survival of sepsis. 25 patients with sepsis were sampled consecutively for 7 days. Blood, serum samples and patient data were collected according to the guidelines of the PredARRT-Sep-Trial. Flow cytometric analysis was performed on fresh whole blood samples to investigate the formation of ASC-specks in leukocyte subsets. Serum samples were analyzed for production of IL-1ß, IL-18 and additional inflammatory markers. ASC-speck formation was found to be increased in leukocytes from sepsis patients compared to healthy donor controls. The absolute number of ASC-speck(+) neutrophils peaked on day 1. For monocytes, the highest percentage and maximum absolute number of ASC-speck(+) cells were detected on day 6 and day 7. Inflammatory cytokines were elevated on day 1 and declined thereafter, with exception of IL-18. Survival analysis showed that patients with lower absolute numbers of ASC-speck(+) monocytes (<1,650 cells/ml) on day 6 had a lower probability to survive, with a hazard ratio (HR) of 10.178. Thus, the frequency of ASC-speck(+) monocytes on day 6 after onset of sepsis may serve to identify patients at risk of death from sepsis.
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spelling pubmed-78895212021-02-19 Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality Cui, Jing Oehrl, Stephanie Ahmad, Fareed Brenner, Thorsten Uhle, Florian Nusshag, Christian Rupp, Christoph Funck, Felix Meisel, Stefan Weigand, Markus A. Morath, Christian Schäkel, Knut Front Immunol Immunology Sepsis is a severe life-threatening syndrome caused by dysregulated host responses to infection. Biomarkers that allow for monitoring the patient’s immune status are needed. Recently, a flow cytometry-based detection of in vivo inflammasome activation by formation of cytoplasmic aggregates of ASC (apoptosis-associated speck-like protein containing a caspase recruitment domain) has been proposed. Here we report on the frequency of ASC-speck(+) leukocytes correlating with the survival of sepsis. 25 patients with sepsis were sampled consecutively for 7 days. Blood, serum samples and patient data were collected according to the guidelines of the PredARRT-Sep-Trial. Flow cytometric analysis was performed on fresh whole blood samples to investigate the formation of ASC-specks in leukocyte subsets. Serum samples were analyzed for production of IL-1ß, IL-18 and additional inflammatory markers. ASC-speck formation was found to be increased in leukocytes from sepsis patients compared to healthy donor controls. The absolute number of ASC-speck(+) neutrophils peaked on day 1. For monocytes, the highest percentage and maximum absolute number of ASC-speck(+) cells were detected on day 6 and day 7. Inflammatory cytokines were elevated on day 1 and declined thereafter, with exception of IL-18. Survival analysis showed that patients with lower absolute numbers of ASC-speck(+) monocytes (<1,650 cells/ml) on day 6 had a lower probability to survive, with a hazard ratio (HR) of 10.178. Thus, the frequency of ASC-speck(+) monocytes on day 6 after onset of sepsis may serve to identify patients at risk of death from sepsis. Frontiers Media S.A. 2021-02-04 /pmc/articles/PMC7889521/ /pubmed/33613537 http://dx.doi.org/10.3389/fimmu.2020.613745 Text en Copyright © 2021 Cui, Oehrl, Ahmad, Brenner, Uhle, Nusshag, Rupp, Funck, Meisel, Weigand, Morath and Schäkel http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Cui, Jing
Oehrl, Stephanie
Ahmad, Fareed
Brenner, Thorsten
Uhle, Florian
Nusshag, Christian
Rupp, Christoph
Funck, Felix
Meisel, Stefan
Weigand, Markus A.
Morath, Christian
Schäkel, Knut
Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title_full Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title_fullStr Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title_full_unstemmed Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title_short Detection of In Vivo Inflammasome Activation for Predicting Sepsis Mortality
title_sort detection of in vivo inflammasome activation for predicting sepsis mortality
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889521/
https://www.ncbi.nlm.nih.gov/pubmed/33613537
http://dx.doi.org/10.3389/fimmu.2020.613745
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