Endothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients.
endotheliopathy
genome-scale metabolic model
metabolomics
systems biology
trauma
tricarboxylic acid cycle
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
23 Jan 2023
23 Jan 2023
Historique:
received:
09
11
2022
revised:
15
01
2023
accepted:
19
01
2023
entrez:
11
2
2023
pubmed:
12
2
2023
medline:
15
2
2023
Statut:
epublish
Résumé
In trauma patients, shock-induced endotheliopathy (SHINE) is associated with a poor prognosis. We have previously identified four metabolic phenotypes in a small cohort of trauma patients (N = 20) and displayed the intracellular metabolic profile of the endothelial cell by integrating quantified plasma metabolomic profiles into a genome-scale metabolic model (iEC-GEM). A retrospective observational study of 99 trauma patients admitted to a Level 1 Trauma Center. Mass spectrometry was conducted on admission samples of plasma metabolites. Quantified metabolites were analyzed by computational network analysis of the iEC-GEM. Four plasma metabolic phenotypes (A-D) were identified, of which phenotype D was associated with an increased injury severity score (
Identifiants
pubmed: 36768579
pii: ijms24032257
doi: 10.3390/ijms24032257
pmc: PMC9916682
pii:
doi:
Types de publication
Observational Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIGMS NIH HHS
ID : T32 GM008792
Pays : United States
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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