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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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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. |
format | Online Article Text |
id | pubmed-9547371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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