Assessing the accuracy of blood RNA profiles to identify patients with post-concussion syndrome: A pilot study in a military patient population

Autor: Robert Meller, Jimmaline J. Hardy, Andrea N Pearson, Scott. R. Mooney, Dawn McGuire, Roger P. Simon, Daniel J. Correa
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Male
Critical Care and Emergency Medicine
Traumatic Brain Injury
Support Vector Machine
Physiology
Molecular biology
lcsh:Medicine
Social Sciences
Pilot Projects
Biochemistry
Transcriptome
0302 clinical medicine
Sequencing techniques
Concussion
Medicine and Health Sciences
Psychology
lcsh:Science
RNA structure
Trauma Medicine
Whole blood
Multidisciplinary
Cognitive Neurology
Post-Concussion Syndrome
RNA sequencing
RNA alignment
Genomics
Middle Aged
3. Good health
Body Fluids
Nucleic acids
Blood
Military Personnel
Neurology
Cohort
Female
Anatomy
Transcriptome Analysis
Traumatic Injury
Research Article
Adult
medicine.medical_specialty
DNA
Complementary
Traumatic brain injury
Cognitive Neuroscience
Sensitivity and Specificity
03 medical and health sciences
Extraction techniques
Neuropsychology
Internal medicine
medicine
Genetics
Humans
Military Medicine
Neuropsychological Testing
Retrospective Studies
Post-concussion syndrome
business.industry
Gene Expression Profiling
lcsh:R
RNA
Biology and Life Sciences
Computational Biology
Retrospective cohort study
medicine.disease
Genome Analysis
Genomic Libraries
RNA extraction
Research and analysis methods
Macromolecular structure analysis
030104 developmental biology
Molecular biology techniques
Brain Injuries
Physical therapy
Cognitive Science
lcsh:Q
business
Neurotrauma
030217 neurology & neurosurgery
Neuroscience
Zdroj: PLoS ONE
PLoS ONE, Vol 12, Iss 9, p e0183113 (2017)
ISSN: 1932-6203
Popis: Mild traumatic brain injury (mTBI) is a complex, neurophysiological condition that can have detrimental outcomes. Yet, to date, no objective method of diagnosis exists. Physical damage to the blood-brain-barrier and normal waste clearance via the lymphatic system may enable the detection of biomarkers of mTBI in peripheral circulation. Here we evaluate the accuracy of whole transcriptome analysis of blood to predict the clinical diagnosis of post-concussion syndrome (PCS) in a military cohort. Sixty patients with clinically diagnosed chronic concussion and controls (no history of concussion) were recruited (retrospective study design). Male patients (46) were split into a training set comprised of 20 long-term concussed (> 6 months and symptomatic) and 12 controls (no documented history of concussion). Models were validated in a testing set (control = 9, concussed = 5). RNA_Seq libraries were prepared from whole blood samples for sequencing using a SOLiD5500XL sequencer and aligned to hg19 reference genome. Patterns of differential exon expression were used for diagnostic modeling using support vector machine classification, and then validated in a second patient cohort. The accuracy of RNA profiles to predict the clinical diagnosis of post-concussion syndrome patients from controls was 86% (sensitivity 80%; specificity 89%). In addition, RNA profiles reveal duration of concussion. This pilot study shows the potential utility of whole transcriptome analysis to establish the clinical diagnosis of chronic concussion syndrome.
Databáze: OpenAIRE
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