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Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study

BACKGROUND: Sepsis is a heterogeneous syndrome due to a variable range of dysregulated processes in the host immune response. Efforts are made to stratify patients for personalized immune-based treatments and better prognostic prediction. Using gene expression data, different inflammatory profiles h...

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Autores principales: Ricaño-Ponce, Isis, Riza, Anca-Lelia, de Nooijer, Aline H., Pirvu, Andrei, Dorobantu, Stefania, Dragos, Adina, Streata, Ioana, Roskanovic, Mihaela, Grondman, Inge, Dumitrescu, Florentina, Kumar, Vinod, Netea, Mihai G., Ioana, Mihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547371/
https://www.ncbi.nlm.nih.gov/pubmed/36209073
http://dx.doi.org/10.1186/s12879-022-07761-0
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author Ricaño-Ponce, Isis
Riza, Anca-Lelia
de Nooijer, Aline H.
Pirvu, Andrei
Dorobantu, Stefania
Dragos, Adina
Streata, Ioana
Roskanovic, Mihaela
Grondman, Inge
Dumitrescu, Florentina
Kumar, Vinod
Netea, Mihai G.
Ioana, Mihai
author_facet Ricaño-Ponce, Isis
Riza, Anca-Lelia
de Nooijer, Aline H.
Pirvu, Andrei
Dorobantu, Stefania
Dragos, Adina
Streata, Ioana
Roskanovic, Mihaela
Grondman, Inge
Dumitrescu, Florentina
Kumar, Vinod
Netea, Mihai G.
Ioana, Mihai
author_sort Ricaño-Ponce, Isis
collection PubMed
description BACKGROUND: Sepsis is a heterogeneous syndrome due to a variable range of dysregulated processes in the host immune response. Efforts are made to stratify patients for personalized immune-based treatments and better prognostic prediction. Using gene expression data, different inflammatory profiles have been identified. However, it remains unknown whether these endotypes mirror inflammatory proteome profiling, which would be more feasible to assess in clinical practice. We aim to identify different inflammatory endotypes based on circulating proteins in a cohort of moderately ill patients with severe infection (Sepsis-2 criteria). METHODS: In this prospective study, 92 inflammatory plasma markers were profiled using a targeted proteome platform and compared between patients with severe infection (Sepsis-2 criteria) and healthy controls. To identify endotypes with different inflammatory profiles, we performed hierarchical clustering of patients based on the differentially expressed proteins, followed by clinical and demographic characterization of the observed endotypes. RESULTS: In a cohort of 167 patients with severe infection and 192 healthy individuals, we found 62 differentially expressed proteins. Inflammatory proteins such as TNFSF14, OSM, CCL23, IL-6, and HGF were upregulated, while TRANCE, DNER and SCF were downregulated in patients. Unsupervised clustering identified two different inflammatory profiles. One endotype showed significantly higher inflammatory protein abundance, and patients with this endotype were older and showed lower lymphocyte counts compared to the low inflammatory endotype. CONCLUSIONS: By identifying endotypes based on inflammatory proteins in moderately ill patients with severe infection, our study suggests that inflammatory proteome profiling can be useful for patient stratification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07761-0.
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spelling pubmed-95473712022-10-09 Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study Ricaño-Ponce, Isis Riza, Anca-Lelia de Nooijer, Aline H. Pirvu, Andrei Dorobantu, Stefania Dragos, Adina Streata, Ioana Roskanovic, Mihaela Grondman, Inge Dumitrescu, Florentina Kumar, Vinod Netea, Mihai G. Ioana, Mihai BMC Infect Dis Research BACKGROUND: Sepsis is a heterogeneous syndrome due to a variable range of dysregulated processes in the host immune response. Efforts are made to stratify patients for personalized immune-based treatments and better prognostic prediction. Using gene expression data, different inflammatory profiles have been identified. However, it remains unknown whether these endotypes mirror inflammatory proteome profiling, which would be more feasible to assess in clinical practice. We aim to identify different inflammatory endotypes based on circulating proteins in a cohort of moderately ill patients with severe infection (Sepsis-2 criteria). METHODS: In this prospective study, 92 inflammatory plasma markers were profiled using a targeted proteome platform and compared between patients with severe infection (Sepsis-2 criteria) and healthy controls. To identify endotypes with different inflammatory profiles, we performed hierarchical clustering of patients based on the differentially expressed proteins, followed by clinical and demographic characterization of the observed endotypes. RESULTS: In a cohort of 167 patients with severe infection and 192 healthy individuals, we found 62 differentially expressed proteins. Inflammatory proteins such as TNFSF14, OSM, CCL23, IL-6, and HGF were upregulated, while TRANCE, DNER and SCF were downregulated in patients. Unsupervised clustering identified two different inflammatory profiles. One endotype showed significantly higher inflammatory protein abundance, and patients with this endotype were older and showed lower lymphocyte counts compared to the low inflammatory endotype. CONCLUSIONS: By identifying endotypes based on inflammatory proteins in moderately ill patients with severe infection, our study suggests that inflammatory proteome profiling can be useful for patient stratification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07761-0. BioMed Central 2022-10-08 /pmc/articles/PMC9547371/ /pubmed/36209073 http://dx.doi.org/10.1186/s12879-022-07761-0 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ricaño-Ponce, Isis
Riza, Anca-Lelia
de Nooijer, Aline H.
Pirvu, Andrei
Dorobantu, Stefania
Dragos, Adina
Streata, Ioana
Roskanovic, Mihaela
Grondman, Inge
Dumitrescu, Florentina
Kumar, Vinod
Netea, Mihai G.
Ioana, Mihai
Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title_full Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title_fullStr Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title_full_unstemmed Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title_short Characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
title_sort characterization of sepsis inflammatory endotypes using circulatory proteins in patients with severe infection: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547371/
https://www.ncbi.nlm.nih.gov/pubmed/36209073
http://dx.doi.org/10.1186/s12879-022-07761-0
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