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Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome
Systemic inflammatory response syndrome (SIRS) and sepsis are two conditions which are difficult to differentiate clinically and which are strongly impacted for prompt intervention. This study identified potential lipid signatures that are able to differentiate SIRS from sepsis and to predict progno...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570015/ https://www.ncbi.nlm.nih.gov/pubmed/32882869 http://dx.doi.org/10.3390/metabo10090359 |
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author | Mecatti, Giovana Colozza Sánchez-Vinces, Salvador Fernandes, Anna Maria A. P. Messias, Marcia C. F. de Santis, Gabrielle K. D. Porcari, Andreia M. Marson, Fernando A. L. Carvalho, Patrícia de Oliveira |
author_facet | Mecatti, Giovana Colozza Sánchez-Vinces, Salvador Fernandes, Anna Maria A. P. Messias, Marcia C. F. de Santis, Gabrielle K. D. Porcari, Andreia M. Marson, Fernando A. L. Carvalho, Patrícia de Oliveira |
author_sort | Mecatti, Giovana Colozza |
collection | PubMed |
description | Systemic inflammatory response syndrome (SIRS) and sepsis are two conditions which are difficult to differentiate clinically and which are strongly impacted for prompt intervention. This study identified potential lipid signatures that are able to differentiate SIRS from sepsis and to predict prognosis. Forty-two patients, including 21 patients with sepsis and 21 patients with SIRS, were involved in the study. Liquid chromatography coupled to mass spectrometry and multivariate statistical methods were used to determine lipids present in patient plasma. The obtained lipid signatures revealed 355 features for the negative ion mode and 297 for the positive ion mode, which were relevant for differential diagnosis of sepsis and SIRS. These lipids were also tested as prognosis predictors. Lastly, L-octanoylcarnitine was found to be the most promising lipid signature for both the diagnosis and prognosis of critically ill patients, with accuracies of 75% for both purposes. In short, we presented the determination of lipid signatures as a potential tool for differential diagnosis of sepsis and SIRS and prognosis of these patients. |
format | Online Article Text |
id | pubmed-7570015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75700152020-10-29 Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome Mecatti, Giovana Colozza Sánchez-Vinces, Salvador Fernandes, Anna Maria A. P. Messias, Marcia C. F. de Santis, Gabrielle K. D. Porcari, Andreia M. Marson, Fernando A. L. Carvalho, Patrícia de Oliveira Metabolites Article Systemic inflammatory response syndrome (SIRS) and sepsis are two conditions which are difficult to differentiate clinically and which are strongly impacted for prompt intervention. This study identified potential lipid signatures that are able to differentiate SIRS from sepsis and to predict prognosis. Forty-two patients, including 21 patients with sepsis and 21 patients with SIRS, were involved in the study. Liquid chromatography coupled to mass spectrometry and multivariate statistical methods were used to determine lipids present in patient plasma. The obtained lipid signatures revealed 355 features for the negative ion mode and 297 for the positive ion mode, which were relevant for differential diagnosis of sepsis and SIRS. These lipids were also tested as prognosis predictors. Lastly, L-octanoylcarnitine was found to be the most promising lipid signature for both the diagnosis and prognosis of critically ill patients, with accuracies of 75% for both purposes. In short, we presented the determination of lipid signatures as a potential tool for differential diagnosis of sepsis and SIRS and prognosis of these patients. MDPI 2020-09-01 /pmc/articles/PMC7570015/ /pubmed/32882869 http://dx.doi.org/10.3390/metabo10090359 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mecatti, Giovana Colozza Sánchez-Vinces, Salvador Fernandes, Anna Maria A. P. Messias, Marcia C. F. de Santis, Gabrielle K. D. Porcari, Andreia M. Marson, Fernando A. L. Carvalho, Patrícia de Oliveira Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title | Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title_full | Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title_fullStr | Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title_full_unstemmed | Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title_short | Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome |
title_sort | potential lipid signatures for diagnosis and prognosis of sepsis and systemic inflammatory response syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570015/ https://www.ncbi.nlm.nih.gov/pubmed/32882869 http://dx.doi.org/10.3390/metabo10090359 |
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