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Novel plasma protein biomarkers from critically ill sepsis patients

BACKGROUND: Despite the high morbidity and mortality associated with sepsis, the relationship between the plasma proteome and clinical outcome is poorly understood. In this study, we used targeted plasma proteomics to identify novel biomarkers of sepsis in critically ill patients. METHODS: Blood was...

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Autores principales: Van Nynatten, Logan R., Slessarev, Marat, Martin, Claudio M., Leligdowicz, Aleks, Miller, Michael R., Patel, Maitray A., Daley, Mark, Patterson, Eric K., Cepinskas, Gediminas, Fraser, Douglas D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792322/
https://www.ncbi.nlm.nih.gov/pubmed/36572854
http://dx.doi.org/10.1186/s12014-022-09389-3
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author Van Nynatten, Logan R.
Slessarev, Marat
Martin, Claudio M.
Leligdowicz, Aleks
Miller, Michael R.
Patel, Maitray A.
Daley, Mark
Patterson, Eric K.
Cepinskas, Gediminas
Fraser, Douglas D.
author_facet Van Nynatten, Logan R.
Slessarev, Marat
Martin, Claudio M.
Leligdowicz, Aleks
Miller, Michael R.
Patel, Maitray A.
Daley, Mark
Patterson, Eric K.
Cepinskas, Gediminas
Fraser, Douglas D.
author_sort Van Nynatten, Logan R.
collection PubMed
description BACKGROUND: Despite the high morbidity and mortality associated with sepsis, the relationship between the plasma proteome and clinical outcome is poorly understood. In this study, we used targeted plasma proteomics to identify novel biomarkers of sepsis in critically ill patients. METHODS: Blood was obtained from 15 critically ill patients with suspected/confirmed sepsis (Sepsis-3.0 criteria) on intensive care unit (ICU) Day-1 and Day-3, as well as age- and sex-matched 15 healthy control subjects. A total of 1161 plasma proteins were measured with proximal extension assays. Promising sepsis biomarkers were narrowed with machine learning and then correlated with relevant clinical and laboratory variables. RESULTS: The median age for critically ill sepsis patients was 56 (IQR 51–61) years. The median MODS and SOFA values were 7 (IQR 5.0–8.0) and 7 (IQR 5.0–9.0) on ICU Day-1, and 4 (IQR 3.5–7.0) and 6 (IQR 3.5–7.0) on ICU Day-3, respectively. Targeted proteomics, together with feature selection, identified the leading proteins that distinguished sepsis patients from healthy control subjects with ≥ 90% classification accuracy; 25 proteins on ICU Day-1 and 26 proteins on ICU Day-3 (6 proteins overlapped both ICU days; PRTN3, UPAR, GDF8, NTRK3, WFDC2 and CXCL13). Only 7 of the leading proteins changed significantly between ICU Day-1 and Day-3 (IL10, CCL23, TGFα1, ST2, VSIG4, CNTN5, and ITGAV; P < 0.01). Significant correlations were observed between a variety of patient clinical/laboratory variables and the expression of 15 proteins on ICU Day-1 and 14 proteins on ICU Day-3 (P < 0.05). CONCLUSIONS: Targeted proteomics with feature selection identified proteins altered in critically ill sepsis patients relative to healthy control subjects. Correlations between protein expression and clinical/laboratory variables were identified, each providing pathophysiological insight. Our exploratory data provide a rationale for further hypothesis-driven sepsis research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-022-09389-3.
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spelling pubmed-97923222022-12-27 Novel plasma protein biomarkers from critically ill sepsis patients Van Nynatten, Logan R. Slessarev, Marat Martin, Claudio M. Leligdowicz, Aleks Miller, Michael R. Patel, Maitray A. Daley, Mark Patterson, Eric K. Cepinskas, Gediminas Fraser, Douglas D. Clin Proteomics Research BACKGROUND: Despite the high morbidity and mortality associated with sepsis, the relationship between the plasma proteome and clinical outcome is poorly understood. In this study, we used targeted plasma proteomics to identify novel biomarkers of sepsis in critically ill patients. METHODS: Blood was obtained from 15 critically ill patients with suspected/confirmed sepsis (Sepsis-3.0 criteria) on intensive care unit (ICU) Day-1 and Day-3, as well as age- and sex-matched 15 healthy control subjects. A total of 1161 plasma proteins were measured with proximal extension assays. Promising sepsis biomarkers were narrowed with machine learning and then correlated with relevant clinical and laboratory variables. RESULTS: The median age for critically ill sepsis patients was 56 (IQR 51–61) years. The median MODS and SOFA values were 7 (IQR 5.0–8.0) and 7 (IQR 5.0–9.0) on ICU Day-1, and 4 (IQR 3.5–7.0) and 6 (IQR 3.5–7.0) on ICU Day-3, respectively. Targeted proteomics, together with feature selection, identified the leading proteins that distinguished sepsis patients from healthy control subjects with ≥ 90% classification accuracy; 25 proteins on ICU Day-1 and 26 proteins on ICU Day-3 (6 proteins overlapped both ICU days; PRTN3, UPAR, GDF8, NTRK3, WFDC2 and CXCL13). Only 7 of the leading proteins changed significantly between ICU Day-1 and Day-3 (IL10, CCL23, TGFα1, ST2, VSIG4, CNTN5, and ITGAV; P < 0.01). Significant correlations were observed between a variety of patient clinical/laboratory variables and the expression of 15 proteins on ICU Day-1 and 14 proteins on ICU Day-3 (P < 0.05). CONCLUSIONS: Targeted proteomics with feature selection identified proteins altered in critically ill sepsis patients relative to healthy control subjects. Correlations between protein expression and clinical/laboratory variables were identified, each providing pathophysiological insight. Our exploratory data provide a rationale for further hypothesis-driven sepsis research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-022-09389-3. BioMed Central 2022-12-27 /pmc/articles/PMC9792322/ /pubmed/36572854 http://dx.doi.org/10.1186/s12014-022-09389-3 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
Van Nynatten, Logan R.
Slessarev, Marat
Martin, Claudio M.
Leligdowicz, Aleks
Miller, Michael R.
Patel, Maitray A.
Daley, Mark
Patterson, Eric K.
Cepinskas, Gediminas
Fraser, Douglas D.
Novel plasma protein biomarkers from critically ill sepsis patients
title Novel plasma protein biomarkers from critically ill sepsis patients
title_full Novel plasma protein biomarkers from critically ill sepsis patients
title_fullStr Novel plasma protein biomarkers from critically ill sepsis patients
title_full_unstemmed Novel plasma protein biomarkers from critically ill sepsis patients
title_short Novel plasma protein biomarkers from critically ill sepsis patients
title_sort novel plasma protein biomarkers from critically ill sepsis patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792322/
https://www.ncbi.nlm.nih.gov/pubmed/36572854
http://dx.doi.org/10.1186/s12014-022-09389-3
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