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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Inflammation

This article is part of the Research TopicLipid-immune interplay in chronic inflammatory-based disordersView all 10 articles

Altered Lipid Profiles in the Prefrontal Cortex Are Associated With Neuroinflammation After Severe Burn Injury

Provisionally accepted
Sean  O'LearySean O'Leary*Anesh  PrasaiAnesh PrasaiAriadna  RobledoAriadna RobledoChristopher  ThangChristopher ThangYe  WangYe WangRahul  R. DeshpandeRahul R. DeshpandeWilliam  RussellWilliam RussellAndrew  John MurtonAndrew John MurtonSteven  WolfSteven WolfAmina  El AyadiAmina El Ayadi
  • The University of Texas Medical Branch at Galveston, Galveston, United States

The final, formatted version of the article will be published soon.

Background: Severe burn injuries can cause long-term cognitive impairments, potentially driven by lipid-mediated neuroinflammation in the central nervous system (CNS). The disruption of lipid homeostasis may contribute to neuroinflammatory responses, exacerbating neuronal damage. This study investigates whether acipimox, an anti-lipolytic agent, modulates lipid accumulation and neuroinflammation in the prefrontal cortex following severe burns. Methods: Sprague Dawley rats were randomized into four groups: sham vehicle, sham acipimox, burn vehicle, and burn acipimox. A scald injury covering 40–60% of total body surface area was induced, and rats were treated with acipimox (50 mg/kg/day, intraperitoneally) or vehicle for seven days. Lipidomic analysis assessed alterations in lipid profiles, while machine learning (XGBoost) identified key lipid drivers of burn-induced neuroinflammation. Additionally, mRNA expression of inflammatory markers, including interleukin-1β (IL-1β), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), and toll-like receptor 4 (TLR4), was quantified to evaluate neuroinflammatory responses. Cytokine–lipid correlations were also examined using Spearman analysis. Results: Lipidomic analysis identified significant alterations in a subset of the 21 lipid classes analyzed, particularly long-chain and very-long-chain fatty acids, including lysophosphatidylethanolamines, lysophosphatidylcholines, phosphatidylglycerols, phosphatidylethanolamines, and triacylglycerols (p < 0.05). Machine learning (XGBoost) identified these lipids as significantly modulated with burn injury (AUC > 0.80). Acipimox treatment reduced lipid accumulation, restoring levels to sham values. Furthermore, mRNA analysis showed group differences in IL-1β (overall ANOVA p = 0.030), with significant pairwise difference observed for burn-vehicle vs sham-acipimox. Acipimox also modulated NF-κB and TLR4 expression, indicating attenuation of inflammatory signaling. IL-1β and LPL positively correlated with lipid classes elevated by burn and reversed by acipimox, while IL-6, TNF-α, NF-κB, and TLR4 showed predominantly negative associations. Discussion: These findings suggest that severe burns induce significant lipid dysregulation in the CNS, contributing to neuroinflammation and potential cognitive impairment. By targeting lipolysis, acipimox mitigates lipid accumulation, suppresses inflammatory pathways, and normalizes lipid levels, highlighting a potential therapeutic mechanism. Conclusion: This study establishes a mechanistic link between elevated lipolysis and CNS inflammation following severe burns. Acipimox effectively modulates lipid profiles and reduces neuroinflammation, underscoring its potential for managing burn-induced neurological complications. Further studies are needed to validate these findings and explore clinical applications.

Keywords: burn injury, lipidomics, Neuroinflammation, Prefrontal Cortex, Acipimox, Lipolysis, machine learning, Cytokines

Received: 25 Sep 2025; Accepted: 10 Nov 2025.

Copyright: © 2025 O'Leary, Prasai, Robledo, Thang, Wang, Deshpande, Russell, Murton, Wolf and El Ayadi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Sean O'Leary, smoleary@utmb.edu

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