TY - JOUR
T1 - Anti-miR oligo-mediated detection of human salivary microRNAs for mild traumatic brain injury
AU - Saha, Pranay
AU - van der Vlies, André J.
AU - Aditya, Teresa
AU - Dighe, Ketan
AU - Hicks, Steven D.
AU - Pan, Dipanjan
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/6/15
Y1 - 2025/6/15
N2 - Mild traumatic brain injury (mTBI), often resulting from traffic accidents, workplace incidents, sports, or recreational activities, is a neurological condition that significantly impacts the daily lives of many individuals. The absence of reliable biomarkers and the non-specific nature of mTBI symptoms pose challenges for accurate diagnosis, leading to undetected cases and potential long-term consequences. Current diagnostic approaches, including neuroimaging, serum biomarkers, and cognitive assessments, suffer from cost, invasiveness, and sensitivity limitations. To address this, we developed a novel electrochemical detection platform for salivary microRNAs (miRNAs), offering a rapid, non-invasive, and cost-effective alternative for mTBI diagnosis. Key challenges in point-of-care miRNA detection lie in low abundance, short length, sequence complementarity, degradation, and amplification-free detection with high sensitivity and specificity. This platform technology introduces a de novo-synthesized, conductive carboxyl-functionalized thiophene polymer (AAOT:PSS)-coated gold electrode, enabling the covalent attachment of streptavidin-linked, biotinylated anti-miRNAs with methylene blue as the electrochemical reporter. This system successfully detected picomolar concentrations of mTBI-associated miRNAs (miR-let7a, miR-30e, miR-21) in saliva, outperforming traditional methods and establishing salivary miRNAs as highly reliable biomarkers for mTBI. Our approach leverages the mTBI-induced upregulation of miR-let7a, miR-30e, miR-21 as proof-of-concept targets with scope of multiplexing while achieving 100% sensitivity and specificity in patient-derived samples validated via PCR and clinical assessments.
AB - Mild traumatic brain injury (mTBI), often resulting from traffic accidents, workplace incidents, sports, or recreational activities, is a neurological condition that significantly impacts the daily lives of many individuals. The absence of reliable biomarkers and the non-specific nature of mTBI symptoms pose challenges for accurate diagnosis, leading to undetected cases and potential long-term consequences. Current diagnostic approaches, including neuroimaging, serum biomarkers, and cognitive assessments, suffer from cost, invasiveness, and sensitivity limitations. To address this, we developed a novel electrochemical detection platform for salivary microRNAs (miRNAs), offering a rapid, non-invasive, and cost-effective alternative for mTBI diagnosis. Key challenges in point-of-care miRNA detection lie in low abundance, short length, sequence complementarity, degradation, and amplification-free detection with high sensitivity and specificity. This platform technology introduces a de novo-synthesized, conductive carboxyl-functionalized thiophene polymer (AAOT:PSS)-coated gold electrode, enabling the covalent attachment of streptavidin-linked, biotinylated anti-miRNAs with methylene blue as the electrochemical reporter. This system successfully detected picomolar concentrations of mTBI-associated miRNAs (miR-let7a, miR-30e, miR-21) in saliva, outperforming traditional methods and establishing salivary miRNAs as highly reliable biomarkers for mTBI. Our approach leverages the mTBI-induced upregulation of miR-let7a, miR-30e, miR-21 as proof-of-concept targets with scope of multiplexing while achieving 100% sensitivity and specificity in patient-derived samples validated via PCR and clinical assessments.
UR - https://www.scopus.com/pages/publications/86000149737
UR - https://www.scopus.com/pages/publications/86000149737#tab=citedBy
U2 - 10.1016/j.bios.2025.117333
DO - 10.1016/j.bios.2025.117333
M3 - Article
C2 - 40056568
AN - SCOPUS:86000149737
SN - 0956-5663
VL - 278
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
M1 - 117333
ER -