Blood-Derived Metabolic Signatures as Biomarkers of Injury Severity in Traumatic Brain Injury: A Pilot Study

被引:0
|
作者
Bykowski, Elani A. [1 ,2 ]
Petersson, Jamie N. [1 ,2 ,3 ]
Dukelow, Sean P. [4 ,5 ]
Ho, Chester [6 ]
Debert, Chantel T. [4 ,5 ]
Montina, Tony [2 ,3 ]
Metz, Gerlinde A. S. [1 ,2 ]
机构
[1] Univ Lethbridge, Canadian Ctr Behav Neurosci, Dept Neurosci, Lethbridge, AB T1K 3M4, Canada
[2] Univ Lethbridge, Southern Alberta Genome Sci Ctr, Lethbridge, AB T1K 3M4, Canada
[3] Univ Lethbridge, Dept Chem & Biochem, Lethbridge, AB T1K 3M4, Canada
[4] Univ Calgary, Cumming Sch Med, Dept Clin Neurosci, Calgary, AB T2N 1N4, Canada
[5] Univ Calgary, Hotchkiss Brain Inst, Calgary, AB T2N 1N4, Canada
[6] Univ Alberta, Div Phys Med & Rehabil, Edmonton, AB T6G 2R7, Canada
关键词
metabolomics; blood; traumatic brain injury; concussion; nuclear magnetic resonance (NMR) spectroscopy; symptom burden; severity; recovery; precision medicine; rehabilitation; biological pathways; SPINAL-CORD-INJURY; AMINO-ACIDS; MOUSE MODEL; ALANINE; METABONOMICS; ISCHEMIA; TOOL;
D O I
10.3390/metabo14020105
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
Metabolomic biomarkers hold promise in aiding the diagnosis and prognostication of traumatic brain injury. In Canada, over 165,000 individuals annually suffer from a traumatic brain injury (TBI), making it one of the most prevalent neurological conditions. In this pilot investigation, we examined blood-derived biomarkers as proxy measures that can provide an objective approach to TBI diagnosis and monitoring. Using a 1H nuclear magnetic resonance (NMR)-based quantitative metabolic profiling approach, this study determined whether (1) blood-derived metabolites change during recovery in male participants with mild to severe TBI; (2) biological pathway analysis reflects mechanisms that mediate neural damage/repair throughout TBI recovery; and (3) changes in metabolites correlate to initial injury severity. Eight male participants with mild to severe TBI (with intracranial lesions) provided morning blood samples within 1-4 days and again 6 months post-TBI. Following NMR analysis, the samples were subjected to multivariate statistical and machine learning-based analyses. Statistical modelling displayed metabolic changes during recovery through group separation, and eight significant metabolic pathways were affected by TBI. Metabolic changes were correlated to injury severity. L-alanine (R= -0.63, p < 0.01) displayed a negative relationship with the Glasgow Coma Scale. This study provides pilot data to support the feasibility of using blood-derived metabolites to better understand changes in biochemistry following TBI.
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页数:14
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