Henriksen, Hanne H.Marín de Mas, IgorNielsen, Lars K.Krocker, JosephStensballe, JakobKarvelsson, Sigurður T.Secher, Niels H.Rolfsson, ÓttarWade, Charles E.Johansson, Pär I.2025-11-202025-11-202023-01-23Henriksen, H H, Marín de Mas, I, Nielsen, L K, Krocker, J, Stensballe, J, Karvelsson, S T, Secher, N H, Rolfsson, Ó, Wade, C E & Johansson, P I 2023, 'Endothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients', International Journal of Molecular Sciences, vol. 24, no. 3, 2257. https://doi.org/10.3390/ijms240322571661-65961557688701d347b31-0244-4f06-abcf-70eeaca6b9f18514789050036768579unpaywall: 10.3390/ijms24032257https://hdl.handle.net/20.500.11815/7252Funding Information: HHH has been supported by a PhD-scholarship from Rigshospitalet, Denmark, and would like to thank The Candys Foundation for the grant (2018-279). IMdM and LKN were supported by The Novo Nordisk Foundation (NNF Grant numbers: NNF20CC0035580; NNF14OC0009473; and NNF20SA0066621). Publisher Copyright: © 2023 by the authors.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.2172912eninfo:eu-repo/semantics/openAccessendotheliopathygenome-scale metabolic modelmetabolomicssystems biologytraumatricarboxylic acid cycleShockMetabolomicsPhenotypeProspective StudiesEndothelial CellsHumansMolecular BiologySpectroscopyCatalysisInorganic ChemistryComputer Science ApplicationsPhysical and Theoretical ChemistryOrganic ChemistryEndothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article10.3390/ijms24032257