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Smartphone-enabled optofluidic exosome diagnostic for concussion recovery

A major impediment to improving the treatment of concussion is our current inability to identify patients that will experience persistent problems after the injury. Recently, brain-derived exosomes, which cross the blood-brain barrier and circulate following injury, have shown great potential as a n...

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Detalles Bibliográficos
Autores principales: Ko, Jina, Hemphill, Matthew A., Gabrieli, David, Wu, Leon, Yelleswarapu, Venkata, Lawrence, Gladys, Pennycooke, Wesley, Singh, Anup, Meaney, Dave F., Issadore, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976377/
https://www.ncbi.nlm.nih.gov/pubmed/27498963
http://dx.doi.org/10.1038/srep31215
Descripción
Sumario:A major impediment to improving the treatment of concussion is our current inability to identify patients that will experience persistent problems after the injury. Recently, brain-derived exosomes, which cross the blood-brain barrier and circulate following injury, have shown great potential as a noninvasive biomarker of brain recovery. However, clinical use of exosomes has been constrained by their small size (30–100 nm) and the extensive sample preparation (>24 hr) needed for traditional exosome measurements. To address these challenges, we developed a smartphone-enabled optofluidic platform to measure brain-derived exosomes. Sample-to-answer on our chip is 1 hour, 10x faster than conventional techniques. The key innovation is an optofluidic device that can detect enzyme amplified exosome biomarkers, and is read out using a smartphone camera. Using this approach, we detected and profiled GluR2+ exosomes in the post-injury state using both in vitro and murine models of concussion.