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  • Oral presentation
  • OP6.06

Lipidomic profile change in a porcine polytrauma model align with injury patterns

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E 2

Session

Free Oral Presentations 6

Topics

  • Emergency surgery
  • Polytrauma

Authors

Yannik Kalbas (Zurich / CH), Sascha Halvachizadeh (Zurich / CH), Michel Paul Johan Teuben (Zurich / CH), Paolo Cinelli (Zurich / CH), Roman Pfeifer (Zurich / CH), Hans-Christoph Pape (Zurich / CH)

Abstract

Abstract text (incl. references and figure legends)

Introduction: The role of lipid mediators in the posttraumatic response has been hypothesized but not yet proven. With vast advances in analytic technology, lipidomic profile changes can be characterized on a molecular level. Due to the large heterogeneity in the polytrauma population, we aimed to explore analyses in a translational large animal model.

Methods: 48 male Pigs (50 ± 5kg) underwent general anesthesia for 6 hours. Monotrauma group (MT) and polytrauma group (PT) both received a femoral shaft fracture. PT received additional blunt chest trauma liver laceration and a controlled hemorrhagic shock. After 60 minutes, animals were resuscitated and fractures were stabilized with intramedullary nailing. Plasma was collected at 6 timepoints (baseline, trauma, resuscitation, 2h, 4h and 6h). Lipidomic analysis was performed via liquid chromatography mass spectrometry (LC-MS). After quality control and data cleaning, lipids were further processed and clustered by means of dimensionality reduction (PCA, heatmaps) based on structural and functional characteristics. Linear mixed models are programmed to analyze changes over time.

Results: A total of 233 lipids were included in the analysis. Principle component analysis showed similar patterns in lipids with similar molecular characteristics (Image 1) and lipids were therefore organized into 17 subgroups. Lipid profile changes aligned precisely with injury pattern. This alignment was strongest after resuscitation (Image 2) and at 6h. Acylcarnitines (AcCas) showed a highly significant (p<0.001) twofold increase after resuscitation in PT only. Multiple other lipid subgroups (TAGs, SMs, PCs) and their substrates (DAGs, CERs, LPCs) also showed significant profile changes over time and based on injury pattern.

Conclusion: Lipidomic profile changes align with the type of injury. Causal inferences can be drawn based on the lipids functional characteristics, i.e. AcCas as a marker for oxidative stress after HS.

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