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Plasma Biomarker for Post-concussive Syndrome: A Pilot Study Using an Alternating Current Electro-Kinetic Platform.

Authors :
Lewis JM
Dhawan S
Obirieze AC
Sarno B
Akers J
Heller MJ
Chen CC
Source :
Frontiers in neurology [Front Neurol] 2020 Jul 14; Vol. 11, pp. 685. Date of Electronic Publication: 2020 Jul 14 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background: Technology platforms that afford biomarker discovery in patients suffering from traumatic brain injury (TBI) remain an unmet medical need. Here, we describe an observational pilot study to explore the utility of an alternating current electrokinetic (ACE) microchip device in this context. Methods: Blood samples were collected from participating subjects with and without minor TBI. Plasma levels of glial fibrillary acidic protein (GFAP), Tau, ubiquitin C-terminal hydrolase L1 (UCH-L1), and cell-free DNA (cfDNA) were determined in subjects with and without minor TBI using ACE microchip device followed by on-chip immunofluorescent analysis. Post-concussive symptoms were assessed using the Rivermead Post Concussion Symptoms Questionnaire (RPCSQ) at one-month follow-up. Results: Highest levels of GFAP, UCH-L1, and Tau were seen in two minor TBI subjects with abnormality on head computed tomography (CT). In patients without abnormal head CT, Tau and GFAP levels discriminated between plasma from minor-TBI and non-TBI patients, with sensitivity and specificity of 64-72 and 50%, respectively. Plasma GFAP, UCH-L1, and Tau strongly correlated with the cumulative RPCSQ score. Plasma UCH-L1 and GFAP exhibited highest correlation to sensitivity to noise and light ( r = 0.96 and 0.91, respectively, p < 0.001). Plasma UCH-L1 and Tau showed highest correlation with headache ( r = 0.74 and 0.78, respectively, p < 0.001), sleep disturbance ( r = 0.69 and 0.84, respectively, p < 0.001), and cognitive symptoms, including forgetfulness ( r = 0.76 and 0.74, respectively, p < 0.001), poor concentration ( r = 0.68 and 0.76, respectively, p < 0.001), and time required for information processing ( r = 0.77 and 0.81, respectively, p < 0.001). cfDNA exhibited a strong correlation with depression ( r = 0.79, p < 0.01) and dizziness ( r = 0.69, p < 0.01). While cfDNA demonstrated positive correlation with dizziness and depression ( r = 0.69 and 0.79, respectively, p < 0.001), no significant correlation was observed between cumulative RPCSQ and cfDNA ( r = 0.07, p = 0.81). Conclusion: We provide proof-of-principle results supporting the utility of ACE microchip for plasma biomarker analysis in patients with minor TBI.<br /> (Copyright © 2020 Lewis, Dhawan, Obirieze, Sarno, Akers, Heller and Chen.)

Details

Language :
English
ISSN :
1664-2295
Volume :
11
Database :
MEDLINE
Journal :
Frontiers in neurology
Publication Type :
Academic Journal
Accession number :
32760343
Full Text :
https://doi.org/10.3389/fneur.2020.00685