Evidence map›Paper›PMID 41518392›Full record

SynthesisLangenbeck's archives of surgery2026

Metabolomics after trauma in experimental models- a systematic review.

Galo Stückelberger, Matthias Weuster, Anisa Hana, Christian Hübner, Yannik Kalbas, Hans-Christoph Pape, Felix Karl-Ludwig Klingebiel, Roman Pfeifer

Abstract readSystematic Review
In one paragraph

Synthesis in Langenbeck's archives of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Galo StückelbergerDepartment of Trauma and Orthopedics Surgery, Cantonal Hospital Winterthur, Brauerstrasse 15, 8401, Winterthur, Switzerland. galo.stueckelberger@ksw.ch.ORCID http://orcid.org/0000-0002-0553-5448
Matthias WeusterClinic for Trauma Surgery, Diako Hospital Flensburg, Flensburg, Germany.
Anisa HanaInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Christian HübnerDepartment of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland.ORCID http://orcid.org/0009-0003-9285-8660
Yannik KalbasDepartment of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1550-328X
Hans-Christoph PapeDepartment of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2059-4980
Felix Karl-Ludwig Klingebiel *Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland. felixkarl-ludwig.klingebiel@usz.ch.ORCID http://orcid.org/0000-0002-6438-5208
Roman Pfeifer *Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-1543-3995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemorrhagic shock (HS) is a major risk factor for mortality and complications after severe trauma. Yet, complex mechanisms on a cellular and physiological level are still not fully understood, Metabolomics offers a powerful tool to unravel these complex biochemical alterations following HS and trauma (T). However, no systematic synthesis of metabolomic findings in in standardized translational animal models of HS and HS + T exists to date.

objectivesTo systematically review and compare metabolomic alterations in animal models of isolated hemorrhagic shock and hemorrhagic shock with trauma, highlighting key metabolic pathways and their modulation by resuscitation strategies.

methodsWe performed a systematic review on Pubmed and EMBASE to identify relevant metabolomic changes measured in with mass spectrometry in translational animal models following HS and HS + T. Studies were categorized into two groups in regard to our main objective: Isolated HS and HS + T. Key metabolite changes were extracted and analyzed qualitatively across seven major metabolic domains: energy, amino acids, purines, arginine/urea cycle, lipids, sulfur/creatine, and redox balance.

resultsOverall, 25 studies were included in our analysis. HS and HS + T both exhibited consistent changes in lactate (↑), succinate (↑), glutamine (↑), and acylcarnitines (↑), indicating hypoxia-driven glycolysis, mitochondrial dysfunction, and enhanced proteolysis. HS + T models displayed more pronounced alterations in branched-chain amino acids, purine catabolites (urate, inosine), and markers of oxidative stress. ATP depletion and glutathione imbalance were common, particularly in the trauma group. Plasma resuscitation partially corrected several abnormalities, especially in redox, purine, and glutamine pathways, compared to saline.

conclusionsMetabolic responses to hemorrhagic shock are reproducible across animal models and are amplified by the presence of trauma. Trauma accentuates proteolysis, oxidative stress, and nucleotide turnover. Plasma-based resuscitation appears superior to crystalloid in correcting these derangements. These findings support the exploration of targeted metabolic therapies and advocate for metabolomics-informed resuscitation strategies in trauma care.

Indexed as

MetabolomicsShock, HemorrhagicWounds and InjuriesAnimalsDisease Models, AnimalResuscitationAnimal modelsGlutamineHemorrhagic shockMetabolomicsPlasma therapyPurinesRedox balanceResuscitationSuccinateTrauma

Identifiers

PMID41518392
PMCPMC12830406

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LicenceCC BY
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Registered trials

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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.