Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors.
Beta-oxidation
Energy metabolism
Fatty acid metabolism
Metabolomics
Safety corridor
Sepsis
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2020
2020
Historique:
received:
07
07
2020
revised:
03
11
2020
accepted:
04
11
2020
entrez:
11
12
2020
pubmed:
12
12
2020
medline:
12
12
2020
Statut:
epublish
Résumé
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".
Identifiants
pubmed: 33304464
doi: 10.1016/j.csbj.2020.11.009
pii: S2001-0370(20)30476-1
pmc: PMC7711192
doi:
Types de publication
Journal Article
Langues
eng
Pagination
3678-3691Informations de copyright
© 2020 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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