Evidence map›Paper›PMID 36768579›Full record

Observational studyInternational journal of molecular sciences2023

Endothelial Cell Phenotypes Demonstrate Different Metabolic Patterns and Predict Mortality in Trauma Patients.

Hanne H Henriksen, Igor Marín de Mas, Lars K Nielsen, Joseph Krocker, Jakob Stensballe, Sigurður T Karvelsson, Niels H Secher, Óttar Rolfsson, Charles E Wade, Pär I Johansson

Abstract readObservational Study
In one paragraph

Observational study in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hanne H HenriksenSection for Transfusion Medicine, Capital Region Blood Bank, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.
Igor Marín de MasNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
Lars K NielsenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.ORCID 0000-0001-8191-3511
Joseph KrockerCenter for Translational Injury Research, Department of Surgery, University of Texas Health Science Center, Houston, TX 77030, USA.
Jakob StensballeSection for Transfusion Medicine, Capital Region Blood Bank, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.
Sigurður T KarvelssonCenter for Systems Biology, University of Iceland, 101 Reykjavik, Iceland.
Niels H SecherDepartment of Anesthesiology, Centre for Cancer and Organ Diseases, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.
Óttar RolfssonCenter for Systems Biology, University of Iceland, 101 Reykjavik, Iceland.ORCID 0000-0003-4258-6057
Charles E WadeCenter for Translational Injury Research, Department of Surgery, University of Texas Health Science Center, Houston, TX 77030, USA.
Pär I JohanssonSection for Transfusion Medicine, Capital Region Blood Bank, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.ORCID 0000-0001-9778-5964

Funding

ROLE OF THE GUT IN POST INJURY MULTIPLE ORGAN FAILURET32GM008792 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Charles S Cox · 2001 to 2026
$5.2M
NIGMS NIH HHS T32 GM008792
6 · The paper itself

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 (

Indexed as

ShockEndothelial CellsHumansMetabolomicsPhenotypeProspective Studiesendotheliopathygenome-scale metabolic modelmetabolomicssystems biologytraumatricarboxylic acid cycle

Identifiers

PMID36768579
PMCPMC9916682

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.