Evidence mapPaperPMID 41766628Full record

ReviewExpert reviews in molecular medicine2026

Dynamic Lipidomic Responses to Inflammation and Physical Insult: A Comparative Review Across Blunt Force Trauma, Thermal Burn Injury, and Viral Infection.

Harrison Szemray, Nathan Geoffrey Lawler, Samantha Lodge, Julien Wist, Luke Whiley

Abstract readReviewComparative Study
In one paragraph

Review in Expert reviews in molecular medicine, 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

5 authors.

Harrison SzemrayCentre for Computational and Systems Medicine, Murdoch University, Murdoch, Perth, Australia.ORCID https://orcid.org/0009-0008-5829-540X
Nathan Geoffrey LawlerCentre for Computational and Systems Medicine, Murdoch University, Murdoch, Perth, Australia.ORCID https://orcid.org/0000-0001-9649-425X
Samantha LodgeCentre for Computational and Systems Medicine, Murdoch University, Murdoch, Perth, Australia.ORCID https://orcid.org/0000-0001-9193-0462
Julien WistCentre for Computational and Systems Medicine, Murdoch University, Murdoch, Perth, Australia.ORCID https://orcid.org/0000-0002-3416-2572
Luke WhileyCentre for Computational and Systems Medicine, Murdoch University, Murdoch, Perth, Australia.ORCID https://orcid.org/0000-0002-9088-4799

Funding

Dementia Australia Research Foundation
6 · The paper itself

Abstract

Acute insults ranging from blunt force trauma and thermal injury to pathogenic infection elicit systemic inflammatory cascades intended to limit further tissue damage. These responses are accompanied by metabolic disturbances that generate distinct biochemical signatures measurable through advanced analytical platforms, such as mass spectrometry and nuclear magnetic resonance spectroscopy (NMR). Although numerous studies have examined these metabolic alterations, findings remain fragmented across clinical and analytical disciplines, leaving it unclear whether the systemic metabolic response to acute insult is fundamentally conserved or insult-specific. In this comparative review, we consolidate evidence across diverse injury and infection contexts to identify shared metabolic patterns, context-dependent differences, and critical gaps in current understanding. Here, we focus on lipid and lipoprotein profiling of blood plasma and serum. We present exemplar case studies spanning traumatic brain injury, burn injury, and SARS-CoV-2 infection to illustrate how lipid and lipoprotein perturbations differ or converge across insult types. Notable observations include consistently elevated palmitic acid (16:0) and reduced phosphatidylcholine species across all three conditions, suggesting these features may represent cross-condition biomarkers and highlighting the value of comparative metabolic profiling. By integrating evidence across diverse contexts, we propose a framework describing the interplay between lipid metabolism, lipoprotein dynamics, and inflammatory activation. Finally, we discuss the translational potential of metabolic phenotyping in enhancing patient stratification, refining prognostic modelling, and improving patient outcomes.

Indexed as

Brain Injuries, TraumaticBurnsCOVID-19InflammationLipidomicsLipidsWounds, NonpenetratingBiomarkersHumansLipid MetabolismLipoproteinsSARS-CoV-2BiomarkersLipidsLipoproteinsbrain injuriesburnsCOVID-19human bodylipid metabolismlipidomicslipoproteinsmagnetic resonance spectroscopymass spectrometrytraumatic

Identifiers

PMID41766628
PMCPMC13148427

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.