ArticleLab on a chip2018
Diagnosis of traumatic brain injury using miRNA signatures in nanomagnetically isolated brain-derived extracellular vesicles.
Article in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.
What it found
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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
50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Extracellular Vesicle-Derived microRNAs as Fluid Biomarkers in Neurodegenerative Diseases: A Systematic Review.Journal of neurochemistry · 2026Pooled it
- Nanotechnology in neurosurgery: a systematic review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021Pooled it
- miR-9-5p is Downregulated in Serum Extracellular Vesicles of Patients Treated with Biperiden After Traumatic Brain Injury.Molecular neurobiology · 2024Trial
- How is Nanoarchitectonics Shaping Extracellular Vesicle Research?Advanced healthcare materials · 2026Review
- Tetraspanin-based immunocapture for high-depth proteomic profiling of extracellular vesicles from cerebrospinal fluid for biomarker discovery.Clinical proteomics · 2026Article
- Microfluidic nanomagnetically isolated neuron- and astrocyte-derived extracellular vesicles to differentiate Lewy body and Alzheimer's disease.Npj biosensing · 2026Article
- Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Exosome-Based Diagnostics and Cell-Free Therapeutics for Traumatic Brain Injury: From Mechanisms to Bedside.International journal of nanomedicine · 2026Review
- Extracellular RNAs as Messengers and Early Biomarkers in Neurodegeneration.International journal of molecular sciences · 2025Review
- Extracellular vesicles in TDP-43 proteinopathies: pathogenesis and biomarker potential.Molecular neurodegeneration · 2025Review
- The Role of Nanotechnology in Understanding the Pathophysiology of Traumatic Brain Injury.Central nervous system agents in medicinal chemistry · 2025Review
- Ectopic expression of the cation-chloride cotransporter KCC2 in blood exosomes as a biomarker for functional rehabilitation.Frontiers in molecular neuroscience · 2025Article
- Article
- Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions.Nano convergence · 2024Review
- Insights into epileptogenesis from post-traumatic epilepsy.Nature reviews. Neurology · 2024Review
- Extracellular vesicles as carriers for noncoding RNA-based regulation of macrophage/microglia polarization: an emerging candidate regulator for lung and traumatic brain injuries.Frontiers in immunology · 2024Review
- CNS cell-derived exosome signatures as blood-based biomarkers of neurodegenerative diseases.Frontiers in neuroscience · 2024Review
- Extracellular vesicles in disorders of hemostasis following traumatic brain injury.Frontiers in neurology · 2024Review
- Unraveling the Emerging Niche Role of Extracellular Vesicles (EVs) in Traumatic Brain Injury (TBI).CNS & neurological disorders drug targets · 2024Review
- Role of exosomal ncRNAs in traumatic brain injury.Non-coding RNA research · 2023Review
Corrections and comments
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Authors and funding
16 authors at 4 institutions in 3 countries.
Funding
Abstract
The accurate diagnosis and clinical management of traumatic brain injury (TBI) is currently limited by the lack of accessible molecular biomarkers that reflect the pathophysiology of this heterogeneous disease. To address this challenge, we developed a microchip diagnostic that can characterize TBI more comprehensively using the RNA found in brain-derived extracellular vesicles (EVs). Our approach measures a panel of EV miRNAs, processed with machine learning algorithms to capture the state of the injured and recovering brain. Our diagnostic combines surface marker-specific nanomagnetic isolation of brain-derived EVs, biomarker discovery using RNA sequencing, and machine learning processing of the EV miRNA cargo to minimally invasively measure the state of TBI. We achieved an accuracy of 99% identifying the signature of injured vs. sham control mice using an independent blinded test set (N = 77), where the injured group consists of heterogeneous populations (injury intensity, elapsed time since injury) to model the variability present in clinical samples. Moreover, we successfully predicted the intensity of the injury, the elapsed time since injury, and the presence of a prior injury using independent blinded test sets (N = 82). We demonstrated the translatability in a blinded test set by identifying TBI patients from healthy controls (AUC = 0.9, N = 60). This approach, which can detect signatures of injury that persist across a variety of injury types and individual responses to injury, more accurately reflects the heterogeneity of human TBI injury and recovery than conventional diagnostics, opening new opportunities to improve treatment of traumatic brain injuries.
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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.