ArticleFrontiers in neurology2017
Derivation of a Three Biomarker Panel to Improve Diagnosis in Patients with Mild Traumatic Brain Injury.
Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 44 citations in OpenAlex.
- Neurogranin as a Synaptic Biomarker in Mild Traumatic Brain Injury: A Systematic Review of Diagnostic and Pathophysiological Evidence.Proteomes · 2025Review
- Temporal-Specific Sex and Injury-Dependent Changes on Neurogranin-Associated Synaptic Signaling After Controlled Cortical Impact in Rats.Molecular neurobiology · 2024Article
- Brain Expression Levels of Commonly Measured Blood Biomarkers of Neurological Damage Differ with Respect to Sex, Race, and Age.Neuroscience · 2024Article
- Plasma neurological biomarkers as a measure of neurotoxicity in pediatric dental general anesthesia: a prospective observational feasibility study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2024Observational
- A biochemical feedback signal for hypothermia treatment for neonatal hypoxic-ischemic encephalopathy: focusing on central nervous system proteins in biofluids.Frontiers in pediatrics · 2024Review
- Fluid-Based Protein Biomarkers in Traumatic Brain Injury: The View from the Bedside.International journal of molecular sciences · 2023Review
- Risk Factors for High Symptom Burden Three Months after Traumatic Brain Injury and Implications for Clinical Trial Design: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study.Journal of neurotrauma · 2022Article
- Analysis of the risk of traumatic brain injury and evaluation neurogranin and myelin basic protein as potential biomarkers of traumatic brain injury in postmortem examination.Forensic science, medicine, and pathology · 2022Article
- Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment.Sensors (Basel, Switzerland) · 2021Article
- Review
- Electrochemical sensing of blood proteins for mild traumatic brain injury (mTBI) diagnostics and prognostics: towards a point-of-care application.RSC advances · 2021Review
- Artificial intelligence as an emerging technology in the current care of neurological disorders.Journal of neurology · 2021Review
- Defining Acute Traumatic Encephalopathy: Methods of the "HEAD Injury Serum Markers and Multi-Modalities for Assessing Response to Trauma" (HeadSMART II) Study.Frontiers in neurology · 2021Article
- Distinctive Features of Orbital Adipose Tissue (OAT) in Graves' Orbitopathy.International journal of molecular sciences · 2020Article
- Neurogranin Protein Expression Is Reduced after Controlled Cortical Impact in Rats.Journal of neurotrauma · 2020Article
- Increased Microglial Exosomal miR-124-3p Alleviates Neurodegeneration and Improves Cognitive Outcome after rmTBI.Molecular therapy : the journal of the American Society of Gene Therapy · 2020Article
- Neurogranin: A Potential Biomarker of Neurological and Mental Diseases.Frontiers in aging neuroscience · 2020Review
- Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.Scientific data · 2019Article
- Toward development of clinically translatable diagnostic and prognostic metrics of traumatic brain injury using animal models: A review and a look forward.Experimental neurology · 2019Review
- Machine learning studies on major brain diseases: 5-year trends of 2014-2018.Japanese journal of radiology · 2019Review
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNearly 5 million emergency department (ED) visits for head injury occur each year in the United States, of which <10% of patients show abnormal computed tomography (CT) findings. CT negative patients frequently suffer protracted somatic, behavioral, and neurocognitive dysfunction. Our goal was to evaluate biomarkers to identify mild TBI (mTBI) in patients with suspected head injury.
methodsAn observational ED study of head-injured and control patients was conducted at Johns Hopkins University (HeadSMART). Head CT was obtained (ACEP criteria) in patients with Glasgow Coma Scale scores of 13-15 and aged 18-80. Three candidate biomarker proteins, neurogranin (NRGN), neuron-specific enolase (NSE), and metallothionein 3 (MT3), were evaluated by immunoassay (samples <24 h from injury). American Congress of Rehabilitation Medicine (ACRM) criteria were used for diagnosis of mTBI patients for model building. Univariate analysis, logistic regression, and random forest (RF) algorithms were used for data analysis in R. Overall, 662 patients were studied. Statistical models were built using 328 healthy controls and 179 mTBI patients.
resultsMedian time from injury was 5.9 h (IQR, 4.0; range 0.8-24 h). mTBI patients had elevated NSE, but decreased MT3 versus controls (
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