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Smartphone-enabled optofluidic exosome diagnostic for concussion recovery.

J Ko | MA Hemphill | D Gabrieli | L Wu | V Yelleswarapu | G Lawrence | W Pennycooke | A Singh | DF Meaney | D Issadore
Scientific reports | 2016 Aug 08

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.

Pubmed ID: 27498963

TBI Model

  • Blast model
  • Blast injury model
  • Animal Information

  • Species: mouse
  • Strain: C57BL/6J
  • Age (weeks): 12 - 14
  • Weight (grams): No weight reported
  • Assessments

    Calcium imaging, Off chip micro-bead assay, Western blot, flow cytometry, righting time

    TBI model parameters

  • Impact Depth (mm): No information available
  • Impact Duration (ms): No information available
  • Impact Velocity (m/s): No information available
  • Impactor Tip: No information available
  • Device Name

    No information available

    Associated Datasets

    No information available

    Associated Protocols

    No information available