Diagnosis of traumatic brain injury using miRNA signatures in nanomagnetically isolated brain-derived extracellular vesicles
Open accessAbstract
We developed a platform to isolate brain-derived extracellular vesicles and measure their miRNA biomarkers to classify specific states of traumatic brain injury.
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Ko et al. innovated a microchip-based diagnostic tool to characterize TBI by analyzing RNA contained within brain-derived EVs.
“Ko et al. have innovated a microchip-based diagnostic tool to offer a more comprehensive characterization of TBI by analyzing RNA contained within brain-derived EVs [282].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [282]
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References 77 · Cited by 89
Research works printed but not linked: 4
- [12]De K, Leffers P, Menheere PPCA, Meerhoff S, Twijnstra A, Acta neurologica scandinavica, 103, 175– 179, 2001. 11240565
- [46]Mondello S, Akinyi L, Buki A,, Neurosurgery, 70, 666– 675, 2012. 21937927 PMC3288385
- [56]Beamer M, Tummala SR, Gullotti D, Kopil K, Gorka S, Ted A, Bass CR, Morrison B, Cohen AS, Meaney DF., Experimental Neurology. PMID DOI: 10.1016/j.expneurol.2016; 05: 025. 27246999 PMC5062598 · DOI
- [75]Feldmann M, Journal of Biological Methods, 1(2), 2014.
- Authors
- Ko, J., Hemphill, M., Yang, Z., Sewell, E., Na, Y. J., Sandsmark, D. K., Haber, M., Fisher, S. A., Torre, E. A., Svane, K. C., Omelchenko, A., Firestein, B. L., Diaz-Arrastia, R., Kim, J., Meaney, D. F., & Issadore, D.
- Affiliations
- University of Pennsylvania (US)
- Columbia University Irving Medical Center (US)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Issadore, D.
- ORCID
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 18
- Issue
- 23
- Pages
- 3617-3630
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- PMC
- PMC6334845
- OpenAlex
- W2897805849
- Cited by
- 89
- References
- 77
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 16 · 2023: 15 · 2022: 12 · 2021: 12 · 2020: 9 · 2019: 5
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Lab on a Chip (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- New Jersey Commission on Brain Injury Research (CSCR14IRG005)
- American Cancer Society (RSG-15-227-01-CSM)
- National Science Foundation (1554200)
- Allen Foundation
- National Institutes of Health (1R21CA182336-01A1, NS 088276, U01 NS086090)
- Pennsylvania Department of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
- Health Sciences › Medicine › Neurology › Traumatic Brain Injury and Neurovascular Disturbances
- Keywords
- traumatic brain injury, extracellular vesicles, microRNA signature, biomarkers, machine learning classification, injury severity prediction, time since injury, brain injury recovery, minimally invasive diagnosis
- MeSH terms
- Extracellular Vesicles, Machine Learning, Brain Injuries, Traumatic, Animals, Humans, Biomarkers, MicroRNAs, Nanotechnology, Mice, Magnetic Phenomena
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