Whole-Blood Metabolomics of a Rat Model of Repetitive Concussion.
BAA
Blood
Concussions
Glycerophosphocholine
Metabolomics
NMR
Repetitive mild TBI
Journal
Journal of molecular neuroscience : MN
ISSN: 1559-1166
Titre abrégé: J Mol Neurosci
Pays: United States
ID NLM: 9002991
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
received:
22
07
2023
accepted:
27
09
2023
medline:
5
12
2023
pubmed:
6
10
2023
entrez:
6
10
2023
Statut:
ppublish
Résumé
Mild traumatic brain injury (mTBI) and repetitive mTBI (RmTBI) are silent epidemics, and so far, there is no objective diagnosis. The severity of the injury is solely based on the Glasgow Coma Score (GCS) scale. Most patients suffer from one or more behavioral abnormalities, such as headache, amnesia, cognitive decline, disturbed sleep pattern, anxiety, depression, and vision abnormalities. Additionally, most neuroimaging modalities are insensitive to capture structural and functional alterations in the brain, leading to inefficient patient management. Metabolomics is one of the established omics technologies to identify metabolic alterations, mostly in biofluids. NMR-based metabolomics provides quantitative metabolic information with non-destructive and minimal sample preparation. We employed whole-blood NMR analysis to identify metabolic markers using a high-field NMR spectrometer (800 MHz). Our approach involves chemical-free sample pretreatment and minimal sample preparation to obtain a robust whole-blood metabolic profile from a rat model of concussion. A single head injury was given to the mTBI group, and three head injuries to the RmTBI group. We found significant alterations in blood metabolites in both mTBI and RmTBI groups compared with the control, such as alanine, branched amino acid (BAA), adenosine diphosphate/adenosine try phosphate (ADP/ATP), creatine, glucose, pyruvate, and glycerphosphocholine (GPC). Choline was significantly altered only in the mTBI group and formate in the RmTBI group compared with the control. These metabolites corroborate previous findings in clinical and preclinical cohorts. Comprehensive whole-blood metabolomics can provide a robust metabolic marker for more accurate diagnosis and treatment intervention for a disease population.
Identifiants
pubmed: 37801210
doi: 10.1007/s12031-023-02162-7
pii: 10.1007/s12031-023-02162-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
843-852Subventions
Organisme : King Saud University
ID : RSPD2023R1097
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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