dc.contributor.author |
Henriksen, Hanne H. |
dc.contributor.author |
Marín de Mas, Igor |
dc.contributor.author |
Nielsen, Lars K. |
dc.contributor.author |
Krocker, Joseph |
dc.contributor.author |
Stensballe, Jakob |
dc.contributor.author |
Karvelsson, Sigurður T. |
dc.contributor.author |
Secher, Niels H. |
dc.contributor.author |
Rolfsson, Óttar |
dc.contributor.author |
Wade, Charles E. |
dc.contributor.author |
Johansson, Pär I. |
dc.date.accessioned |
2023-08-22T01:04:47Z |
dc.date.available |
2023-08-22T01:04:47Z |
dc.date.issued |
2023-01-23 |
dc.identifier.citation |
Henriksen , 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/ijms24032257 |
dc.identifier.issn |
1661-6596 |
dc.identifier.other |
155768870 |
dc.identifier.other |
1d347b31-0244-4f06-abcf-70eeaca6b9f1 |
dc.identifier.other |
85147890500 |
dc.identifier.other |
36768579 |
dc.identifier.other |
unpaywall: 10.3390/ijms24032257 |
dc.identifier.uri |
https://hdl.handle.net/20.500.11815/4445 |
dc.description |
Funding 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. |
dc.description.abstract |
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. |
dc.format.extent |
2172912 |
dc.format.extent |
|
dc.language.iso |
en |
dc.relation.ispartofseries |
International Journal of Molecular Sciences; 24(3) |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
endotheliopathy |
dc.subject |
genome-scale metabolic model |
dc.subject |
metabolomics |
dc.subject |
systems biology |
dc.subject |
trauma |
dc.subject |
tricarboxylic acid cycle |
dc.subject |
Shock |
dc.subject |
Metabolomics |
dc.subject |
Phenotype |
dc.subject |
Prospective Studies |
dc.subject |
Endothelial Cells |
dc.subject |
Humans |
dc.subject |
Molecular Biology |
dc.subject |
Spectroscopy |
dc.subject |
Catalysis |
dc.subject |
Inorganic Chemistry |
dc.subject |
Computer Science Applications |
dc.subject |
Physical and Theoretical Chemistry |
dc.subject |
Organic Chemistry |
dc.title |
Endothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients |
dc.type |
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article |
dc.description.version |
Peer reviewed |
dc.identifier.doi |
10.3390/ijms24032257 |
dc.relation.url |
http://www.scopus.com/inward/record.url?scp=85147890500&partnerID=8YFLogxK |
dc.contributor.department |
Faculty of Medicine |