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Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors

Sepsis remains a major cause of death despite advances in medical care. Metabolic deregulation is an important component of the survival process. Metabolomic analysis allows profiling of critical metabolic functions with the potential to classify patient outcome. Our prospective longitudinal charact...

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Autores principales: Khaliq, Waqas, Großmann, Peter, Neugebauer, Sophie, Kleyman, Anna, Domizi, Roberta, Calcinaro, Sara, Brealey, David, Gräler, Markus, Kiehntopf, Michael, Schäuble, Sascha, Singer, Mervyn, Panagiotou, Gianni, Bauer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711192/
https://www.ncbi.nlm.nih.gov/pubmed/33304464
http://dx.doi.org/10.1016/j.csbj.2020.11.009
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author Khaliq, Waqas
Großmann, Peter
Neugebauer, Sophie
Kleyman, Anna
Domizi, Roberta
Calcinaro, Sara
Brealey, David
Gräler, Markus
Kiehntopf, Michael
Schäuble, Sascha
Singer, Mervyn
Panagiotou, Gianni
Bauer, Michael
author_facet Khaliq, Waqas
Großmann, Peter
Neugebauer, Sophie
Kleyman, Anna
Domizi, Roberta
Calcinaro, Sara
Brealey, David
Gräler, Markus
Kiehntopf, Michael
Schäuble, Sascha
Singer, Mervyn
Panagiotou, Gianni
Bauer, Michael
author_sort Khaliq, Waqas
collection PubMed
description Sepsis remains a major cause of death despite advances in medical care. Metabolic deregulation is an important component of the survival process. Metabolomic analysis allows profiling of critical metabolic functions with the potential to classify patient outcome. Our prospective longitudinal characterization of 33 septic and non-septic critically ill patients showed that deviations, independent of direction, in plasma levels of lipid metabolites were associated with sepsis mortality. We identified a coupling of metabolic signatures between liver and plasma of a rat sepsis model that allowed us to apply a human kinetic model of mitochondrial beta-oxidation to reveal differing enzyme concentrations for medium/short-chain hydroxyacyl-CoA dehydrogenase (elevated in survivors) and crotonase (elevated in non-survivors). These data suggest a need to monitor cellular energy metabolism beyond the available biomarkers. A loss of metabolic adaptation appears to be reflected by an inability to maintain cellular (fatty acid) metabolism within a “corridor of safety”.
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spelling pubmed-77111922020-12-09 Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors Khaliq, Waqas Großmann, Peter Neugebauer, Sophie Kleyman, Anna Domizi, Roberta Calcinaro, Sara Brealey, David Gräler, Markus Kiehntopf, Michael Schäuble, Sascha Singer, Mervyn Panagiotou, Gianni Bauer, Michael Comput Struct Biotechnol J Research Article Sepsis remains a major cause of death despite advances in medical care. Metabolic deregulation is an important component of the survival process. Metabolomic analysis allows profiling of critical metabolic functions with the potential to classify patient outcome. Our prospective longitudinal characterization of 33 septic and non-septic critically ill patients showed that deviations, independent of direction, in plasma levels of lipid metabolites were associated with sepsis mortality. We identified a coupling of metabolic signatures between liver and plasma of a rat sepsis model that allowed us to apply a human kinetic model of mitochondrial beta-oxidation to reveal differing enzyme concentrations for medium/short-chain hydroxyacyl-CoA dehydrogenase (elevated in survivors) and crotonase (elevated in non-survivors). These data suggest a need to monitor cellular energy metabolism beyond the available biomarkers. A loss of metabolic adaptation appears to be reflected by an inability to maintain cellular (fatty acid) metabolism within a “corridor of safety”. Research Network of Computational and Structural Biotechnology 2020-11-21 /pmc/articles/PMC7711192/ /pubmed/33304464 http://dx.doi.org/10.1016/j.csbj.2020.11.009 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Khaliq, Waqas
Großmann, Peter
Neugebauer, Sophie
Kleyman, Anna
Domizi, Roberta
Calcinaro, Sara
Brealey, David
Gräler, Markus
Kiehntopf, Michael
Schäuble, Sascha
Singer, Mervyn
Panagiotou, Gianni
Bauer, Michael
Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title_full Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title_fullStr Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title_full_unstemmed Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title_short Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
title_sort lipid metabolic signatures deviate in sepsis survivors compared to non-survivors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711192/
https://www.ncbi.nlm.nih.gov/pubmed/33304464
http://dx.doi.org/10.1016/j.csbj.2020.11.009
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