Multi-Biomarker Detection Following Traumatic Brain Injury.
Crit Rev Biomed Eng
; 47(3): 193-206, 2019.
Article
em En
| MEDLINE
| ID: mdl-31679255
ABSTRACT
The Centers for Disease Control and Prevention estimates almost two million traumatic brain injuries (TBIs) occur annually in the U.S., resulting in nearly $80 billion of economic burden. Despite its prevalence, current TBI diagnosis methods mainly rely on cognitive assessments vulnerable to subjective interpretation, thus highlighting the critical need to develop effective unbiased diagnostic methods. The presented study aims to assess the feasibility of a rapid multianalyte TBI blood diagnostic. Specifically, two electrochemical impedance techniques were used to evaluate four biomarkers glial fibrillary acidic protein, neuron specific enolase (NSE), S-100ß, and tumor necrosis factor-α. First, these biomarkers were characterized in purified solutions (detection limit, DL = 2-5 pg/mL), then verified in spiked whole blood and plasma solutions (90% whole blood DL = 14-67 pg/mL). Finally, detection of two of these biomarkers was validated in a controlled cortical impact model of TBI in rats, where a statistical difference between NSE and S-100ß concentrations differed several days postinjury (p = 0.02 and p = 0.06, respectively). A statistical difference between mild and moderate injury was found at the various time points. The proposed diagnostic method enabled preliminary quantification of TBI-relevant biomarkers in complex media without the use of expensive electrode coatings or membranes. Collectively, these data demonstrate the feasibility of using electrochemical impedance techniques to rapidly detect TBI biomarkers and lay the groundwork for development of a novel method for quantitative diagnostics of TBI.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Biomarcadores
/
Lesões Encefálicas Traumáticas
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
Idioma:
En
Revista:
Crit Rev Biomed Eng
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Azerbaidjão