ArticleJournal of neurotrauma2020
Multi-Dimensional Mapping of Brain-Derived Extracellular Vesicle MicroRNA Biomarker for Traumatic Brain Injury Diagnostics.
Article in Journal of neurotrauma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
54 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Extracellular Vesicle-Derived microRNAs as Fluid Biomarkers in Neurodegenerative Diseases: A Systematic Review.Journal of neurochemistry · 2026Pooled it
- MicroRNAs as Potential Biomarkers of Post-Traumatic Epileptogenesis: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group.Brain imaging and behavior · 2021Pooled it
- Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.Sovremennye tekhnologii v meditsine · 2021Pooled it
- MicroRNAs as potential biomarkers for the diagnosis of Traumatic Brain Injury: A systematic review and meta-analysis.International journal of medical sciences · 2021Pooled it
- Markers and Enrichment Strategies for Brain-Derived Extracellular Vesicles: Current Evidence, Limitations and Future Directions.Neuromolecular medicine · 2026Review
- Article
- Exosomes in depression: mechanistic insights, diagnostic potential, and therapeutic opportunities.Molecular psychiatry · 2026Review
- Hemodynamic characterization of cardiac dysfunction after traumatic brain injury using a controlled cortical impact model in male rats.Physiological reports · 2026Article
- Article
- RPS3-Enriched Extracellular Vesicles Mediate Liver-Spinal Cord Inter-Organ Communication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Microfluidic nanomagnetically isolated neuron- and astrocyte-derived extracellular vesicles to differentiate Lewy body and Alzheimer's disease.Npj biosensing · 2026Article
- Exosome-Based Diagnostics and Cell-Free Therapeutics for Traumatic Brain Injury: From Mechanisms to Bedside.International journal of nanomedicine · 2026Review
- Sphingomyelin regulates the transcriptional machinery in nuclear lipid microdomains.Communications biology · 2025Article
- Article
- miRNA-6236 Regulation of Postischemic Skeletal Muscle Angiogenesis.Journal of the American Heart Association · 2024Article
- Extracellular Vesicles: The Next Generation of Biomarkers and Treatment for Central Nervous System Diseases.International journal of molecular sciences · 2024Review
- Article
- Mesenchymal stem cell-derived extracellular vesicles as a cell-free therapy for traumatic brain injury via neuroprotection and neurorestoration.Neural regeneration research · 2024Review
- Unraveling the Emerging Niche Role of Extracellular Vesicles (EVs) in Traumatic Brain Injury (TBI).CNS & neurological disorders drug targets · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The diagnosis and prognosis of traumatic brain injury (TBI) is complicated by variability in the type and severity of injuries and the multiple endophenotypes that describe each patient's response and recovery to the injury. It has been challenging to capture the multiple dimensions that describe an injury and its recovery to provide clinically useful information. To address this challenge, we have performed an open-ended search for panels of microRNA (miRNA) biomarkers, packaged inside of brain-derived extracellular vesicles (EVs), that can be combined algorithmically to accurately classify various states of injury. We mapped GluR2+ EV miRNA across a variety of injury types, injury intensities, history of injuries, and time elapsed after injury, and sham controls in a pre-clinical murine model (
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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.