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Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions

The assessment of a patient’s immune function is critical in many clinical situations. In complex clinical immune dysfunction like sepsis, which results from a loss of immune homeostasis due to microbial infection, a plethora of pro- and anti-inflammatory stimuli may occur consecutively or simultane...

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Autores principales: Lehnert, Teresa, Leonhardt, Ines, Timme, Sandra, Thomas-Rüddel, Daniel, Bloos, Frank, Sponholz, Christoph, Kurzai, Oliver, Figge, Marc Thilo, Hünniger, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187451/
https://www.ncbi.nlm.nih.gov/pubmed/34103589
http://dx.doi.org/10.1038/s41598-021-91362-5
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author Lehnert, Teresa
Leonhardt, Ines
Timme, Sandra
Thomas-Rüddel, Daniel
Bloos, Frank
Sponholz, Christoph
Kurzai, Oliver
Figge, Marc Thilo
Hünniger, Kerstin
author_facet Lehnert, Teresa
Leonhardt, Ines
Timme, Sandra
Thomas-Rüddel, Daniel
Bloos, Frank
Sponholz, Christoph
Kurzai, Oliver
Figge, Marc Thilo
Hünniger, Kerstin
author_sort Lehnert, Teresa
collection PubMed
description The assessment of a patient’s immune function is critical in many clinical situations. In complex clinical immune dysfunction like sepsis, which results from a loss of immune homeostasis due to microbial infection, a plethora of pro- and anti-inflammatory stimuli may occur consecutively or simultaneously. Thus, any immunomodulatory therapy would require in-depth knowledge of an individual patient’s immune status at a given time. Whereas lab-based immune profiling often relies solely on quantification of cell numbers, we used an ex vivo whole-blood infection model in combination with biomathematical modeling to quantify functional parameters of innate immune cells in blood from patients undergoing cardiac surgery. These patients experience a well-characterized inflammatory insult, which results in mitigation of the pathogen-specific response patterns towards Staphylococcus aureus and Candida albicans that are characteristic of healthy people and our patients at baseline. This not only interferes with the elimination of these pathogens from blood, but also selectively augments the escape of C. albicans from phagocytosis. In summary, our model could serve as a valuable functional immune assay for recording and evaluating innate responses to infection.
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spelling pubmed-81874512021-06-09 Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions Lehnert, Teresa Leonhardt, Ines Timme, Sandra Thomas-Rüddel, Daniel Bloos, Frank Sponholz, Christoph Kurzai, Oliver Figge, Marc Thilo Hünniger, Kerstin Sci Rep Article The assessment of a patient’s immune function is critical in many clinical situations. In complex clinical immune dysfunction like sepsis, which results from a loss of immune homeostasis due to microbial infection, a plethora of pro- and anti-inflammatory stimuli may occur consecutively or simultaneously. Thus, any immunomodulatory therapy would require in-depth knowledge of an individual patient’s immune status at a given time. Whereas lab-based immune profiling often relies solely on quantification of cell numbers, we used an ex vivo whole-blood infection model in combination with biomathematical modeling to quantify functional parameters of innate immune cells in blood from patients undergoing cardiac surgery. These patients experience a well-characterized inflammatory insult, which results in mitigation of the pathogen-specific response patterns towards Staphylococcus aureus and Candida albicans that are characteristic of healthy people and our patients at baseline. This not only interferes with the elimination of these pathogens from blood, but also selectively augments the escape of C. albicans from phagocytosis. In summary, our model could serve as a valuable functional immune assay for recording and evaluating innate responses to infection. Nature Publishing Group UK 2021-06-08 /pmc/articles/PMC8187451/ /pubmed/34103589 http://dx.doi.org/10.1038/s41598-021-91362-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Lehnert, Teresa
Leonhardt, Ines
Timme, Sandra
Thomas-Rüddel, Daniel
Bloos, Frank
Sponholz, Christoph
Kurzai, Oliver
Figge, Marc Thilo
Hünniger, Kerstin
Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title_full Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title_fullStr Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title_full_unstemmed Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title_short Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
title_sort ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187451/
https://www.ncbi.nlm.nih.gov/pubmed/34103589
http://dx.doi.org/10.1038/s41598-021-91362-5
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