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Author Notes:

michelle.laplaca@bme.hgatech.edu (M.C.L.); facundo.fernandez@chemistry.gatech.edu (F.M.F.)

Conceptualization, E.C.G., A.N.P., D.A.G., M.C.L. and F.M.F.; Data curation, E.C.G., A.N.P., D.A.G., S.G.M.; Formal analysis, E.C.G.; Funding acquisition, M.C.L. and F.M.F.; Methodology, E.C.G., A.N.P., D.A.G., S.G.M.; Supervision and oversight, D.A.G., M.C.L. and F.M.F.; Writing—original draft, E.C.G.; Review and editing, E.C.G., A.N.P., D.A.G., M.C.L. and F.M.F. All authors have read and agreed to the published version of the manuscript.

Additional student funding was provided by the Air Force Institute of Technology through the Civilian Institution Learning Program, Wright-Patterson AFB, OH. We thank Clint M. Alfaro for assistance in experimental design and discussions at early stages of the project. This work was supported by Georgia Institute of Technology’s Systems Mass Spectrometry Core Facility.

The authors declare no conflict of interest.


Research Funding:

This research was funded by the National Institute of Health, grant number R56 NS101909.


  • Science & Technology
  • Life Sciences & Biomedicine
  • Biochemistry & Molecular Biology
  • mild traumatic brain injury
  • closed head injury
  • lipidomics
  • animal model
  • ultra-performance liquid chromatography-mass spectrometry
  • MICE

Lipidome Alterations following Mild Traumatic Brain Injury in the Rat


Journal Title:



Volume 12, Number 2


Type of Work:

Article | Final Publisher PDF


Traumatic brain injury (TBI) poses a major health challenge, with tens of millions of new cases reported globally every year. Brain damage resulting from TBI can vary significantly due to factors including injury severity, injury mechanism and exposure to repeated injury events. There-fore, there is need for robust blood biomarkers. Serum from Sprague Dawley rats was collected at several timepoints within 24 h of mild single or repeat closed head impacts. Serum samples were analyzed via ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) in positive and negative ion modes. Known lipid species were identified through matching to in-house tandem MS databases. Lipid biomarkers have a unique potential to serve as objective molecular measures of injury response as they may be liberated to circulation more readily than larger protein markers. Machine learning and feature selection approaches were used to construct lipid panels capable of distinguishing serum from injured and uninjured rats. The best multivariate lipid panels had over 90% cross-validated sensitivity, selectivity, and accuracy. These mapped onto sphin-golipid signaling, autophagy, necroptosis and glycerophospholipid metabolism pathways, with Benjamini adjusted p-values less than 0.05. The novel lipid biomarker candidates identified provide insight into the metabolic pathways altered within 24 h of mild TBI.

Copyright information:

© 2022 by the authors.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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