Comparing Brain and Blood Lipidome Changes following Single and Repetitive Mild Traumatic Brain Injury in Rats

被引:4
|
作者
Pulliam, Alexis N. [1 ,2 ]
Gier, Eric C. [2 ,3 ]
Gaul, David A. [2 ,3 ]
Moore, Samuel G. [2 ,3 ]
Fernandez, Facundo M. [2 ,3 ]
Laplaca, Michelle C. [1 ,2 ]
机构
[1] Emory Univ, Georgia Inst Technol, Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[2] Petit Inst Bioengn & Biosci, Georgia Inst Technol, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Chem & Biochem, Atlanta, GA 30332 USA
来源
ACS CHEMICAL NEUROSCIENCE | 2024年 / 15卷 / 02期
基金
美国国家科学基金会;
关键词
Traumatic brain injury; lipidomics; blood biomarkers; brain biomarkers; ultra-high performance mass spectrometry; ACETYL-L-CARNITINE; FREE FATTY-ACIDS; ALZHEIMERS-DISEASE; RISK; GFAP;
D O I
10.1021/acschemneuro.3c00603
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Traumatic brain injury (TBI) is a major health concern in the United States and globally, contributing to disability and long-term neurological problems. Lipid dysregulation after TBI is underexplored, and a better understanding of lipid turnover and degradation could point to novel biomarker candidates and therapeutic targets. Here, we investigated overlapping lipidome changes in the brain and blood using a data-driven discovery approach to understand lipid alterations in the brain and serum compartments acutely following mild TBI (mTBI) and the potential efflux of brain lipids to peripheral blood. The cortices and sera from male and female Sprague-Dawley rats were analyzed via ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) in both positive and negative ion modes following single and repetitive closed head impacts. The overlapping lipids in the data sets were identified with an in-house data dictionary for investigating lipid class changes. MS-based lipid profiling revealed overall increased changes in the serum compartment, while the brain lipids primarily showed decreased changes. Interestingly, there were prominent alterations in the sphingolipid class in the brain and blood compartments after single and repetitive injury, which may suggest efflux of brain sphingolipids into the blood after TBI. Genetic algorithms were used for predictive panel selection to classify injured and control samples with high sensitivity and specificity. These overlapping lipid panels primarily mapped to the glycerophospholipid metabolism pathway with Benjamini-Hochberg adjusted q-values less than 0.05. Collectively, these results detail overlapping lipidome changes following mTBI in the brain and blood compartments, increasing our understanding of TBI-related lipid dysregulation while identifying novel biomarker candidates.
引用
收藏
页码:300 / 314
页数:15
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