Journal article
Endothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients
University of Copenhagen1
Autoflow, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark2
Quantitative Modeling of Cell Metabolism, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4
DTU Microbes Initiative, Centers, Technical University of Denmark5
University of Texas Health Science Center at Houston6
University of Iceland7
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 (p < 0.001); 90% (91.6%) of the patients who died within 72 h possessed this phenotype.
The inferred EC metabolic patterns were found to be different between phenotype A and D. Phenotype D was unable to maintain adequate redox homeostasis. We confirm that trauma patients presented four metabolic phenotypes at admission. Phenotype D was associated with increased mortality. Different EC metabolic patterns were identified between phenotypes A and D, and the inability to maintain adequate redox balance may be linked to the high mortality.
Language: | English |
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Publisher: | MDPI AG |
Year: | 2023 |
Pages: | 2257 |
ISSN: | 14220067 and 16616596 |
Types: | Journal article |
DOI: | 10.3390/ijms24032257 |
ORCIDs: | Marín de Mas, Igor , Nielsen, Lars K. , 0000-0003-4258-6057 and 0000-0001-9778-5964 |