ArticleScientific reports2016
Smartphone-enabled optofluidic exosome diagnostic for concussion recovery.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed.
- Surface Problem: Unveiling Extracellular Vesicles Surface Markers and Their Implications for Central Nervous System Diseases' Diagnosis and Treatment.Molecular neurobiology · 2025Review
- Smartphone-based biosensing: a review of optical imaging, microfluidic integration, and AI-enhanced analysis.Mikrochimica acta · 2025Review
- Paper-Based Microfluidic Analytical Device Patterned by Label Printer for Point-of-Care Blood Glucose and Hematocrit Detection Using 3D-Printed Smartphone Cassette.Sensors (Basel, Switzerland) · 2024Article
- Small RNA signatures of acute ischemic stroke in L1CAM positive extracellular vesicles.Scientific reports · 2024Article
- Recent Advances in Microfluidic-Based Extracellular Vesicle Analysis.Micromachines · 2024Review
- Integrating single-cell and spatially resolved transcriptomic strategies to survey the astrocyte response to stroke in male mice.Nature communications · 2024Article
- Multiangle, self-powered sensor array for monitoring head impacts.Science advances · 2023Article
- Biomarkers for parkinsonian disorders in CNS-originating EVs: promise and challenges.Acta neuropathologica · 2023Review
- Dual Imaging Single Vesicle Surface Protein Profiling and Early Cancer Detection.ACS applied materials & interfaces · 2023Article
- Recent developments in biosensing methods for extracellular vesicle protein characterization.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023Review
- Isolation and characterization of extracellular vesicles and future directions in diagnosis and therapy.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023Review
- Extracellular vesicles as a source of prostate cancer biomarkers in liquid biopsies: a decade of research.British journal of cancer · 2022Review
- Article
- Characterization of Nanoparticle Adsorption on Polydimethylsiloxane-Based Microchannels.Sensors (Basel, Switzerland) · 2021Article
- Circulating Exosomes of Neuronal Origin as Potential Early Biomarkers for Development of Stroke.Molecular diagnosis & therapy · 2021Review
- Bead-Based Extracellular Vesicle Analysis Using Flow Cytometry.Advanced biosystems · 2020Article
- Clinical Applications of Extracellular Vesicles in the Diagnosis and Treatment of Traumatic Brain Injury.Journal of neurotrauma · 2020Review
- Extracellular Vesicles in Acute Stroke Diagnostics.Biomedicines · 2020Review
- Solid-phase extraction of exosomes from diverse matrices via a polyester capillary-channeled polymer (C-CP) fiber stationary phase in a spin-down tip format.Analytical and bioanalytical chemistry · 2020Article
- Acoustic Immunosensing of Exosomes Using a Quartz Crystal Microbalance with Dissipation Monitoring.Analytical chemistry · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.