Literature DB >> 26547005

Glial Fibrillary Acidic Protein and Ubiquitin C-Terminal Hydrolase-L1 as Outcome Predictors in Traumatic Brain Injury.

Riikka S K Takala1, Jussi P Posti2, Hilkka Runtti3, Virginia F Newcombe4, Joanne Outtrim4, Ari J Katila5, Janek Frantzén6, Henna Ala-Seppälä7, Anna Kyllönen7, Henna-Riikka Maanpää7, Jussi Tallus7, Md Iftakher Hossain7, Jonathan P Coles4, Peter Hutchinson8, Mark van Gils3, David K Menon4, Olli Tenovuo9.   

Abstract

OBJECTIVE: Biomarkers ubiquitin C-terminal hydrolase-L1 (UCH-L1) and glial fibrillary acidic protein (GFAP) may help detect brain injury, assess its severity, and improve outcome prediction. This study aimed to evaluate the prognostic value of these biomarkers during the first days after brain injury.
METHODS: Serum UCH-L1 and GFAP were measured in 324 patients with traumatic brain injury (TBI) enrolled in a prospective study. The outcome was assessed using the Glasgow Outcome Scale (GOS) or the extended version, Glasgow Outcome Scale-Extended (GOSE).
RESULTS: Patients with full recovery had lower UCH-L1 concentrations on the second day and patients with favorable outcome had lower UCH-L1 concentrations during the first 2 days compared with patients with incomplete recovery and unfavorable outcome. Patients with full recovery and favorable outcome had significantly lower GFAP concentrations in the first 2 days than patients with incomplete recovery or unfavorable outcome. There was a strong negative correlation between outcome and UCH-L1 in the first 3 days and GFAP levels in the first 2 days. On arrival, both UCH-L1 and GFAP distinguished patients with GOS score 1-3 from patients with GOS score 4-5, but not patients with GOSE score 8 from patients with GOSE score 1-7. For UCH-L1 and GFAP to predict unfavorable outcome (GOS score ≤ 3), the area under the receiver operating characteristic curve was 0.727, and 0.723, respectively. Neither UCHL-1 nor GFAP was independently able to predict the outcome when age, worst Glasgow Coma Scale score, pupil reactivity, Injury Severity Score, and Marshall score were added into the multivariate logistic regression model.
CONCLUSIONS: GFAP and UCH-L1 are significantly associated with outcome, but they do not add predictive power to commonly used prognostic variables in a population of patients with TBI of varying severities.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; GFAP; Outcome; Traumatic brain injury; UCH-L1

Mesh:

Substances:

Year:  2015        PMID: 26547005     DOI: 10.1016/j.wneu.2015.10.066

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  29 in total

1.  HIV-1 TAT protein enhances sensitization to methamphetamine by affecting dopaminergic function.

Authors:  James P Kesby; Julia A Najera; Benedetto Romoli; Yiding Fang; Liana Basova; Amanda Birmingham; Maria Cecilia G Marcondes; Davide Dulcis; Svetlana Semenova
Journal:  Brain Behav Immun       Date:  2017-05-08       Impact factor: 7.217

2.  Correlation of Blood Biomarkers and Biomarker Panels with Traumatic Findings on Computed Tomography after Traumatic Brain Injury.

Authors:  Jussi P Posti; Riikka S K Takala; Linnéa Lagerstedt; Alex M Dickens; Iftakher Hossain; Mehrbod Mohammadian; Henna Ala-Seppälä; Janek Frantzén; Mark van Gils; Peter J Hutchinson; Ari J Katila; Henna-Riikka Maanpää; David K Menon; Virginia F Newcombe; Jussi Tallus; Kevin Hrusovsky; David H Wilson; Jessica Gill; Jean-Charles Sanchez; Olli Tenovuo; Henrik Zetterberg; Kaj Blennow
Journal:  J Neurotrauma       Date:  2019-04-05       Impact factor: 5.269

3.  Prospective Assessment of Acute Blood Markers of Brain Injury in Sport-Related Concussion.

Authors:  Timothy B Meier; Lindsay D Nelson; Daniel L Huber; Jeffrey J Bazarian; Ronald L Hayes; Michael A McCrea
Journal:  J Neurotrauma       Date:  2017-08-04       Impact factor: 5.269

4.  Variation in Candidate Traumatic Brain Injury Biomarker Genes Are Associated with Gross Neurological Outcomes after Severe Traumatic Brain Injury.

Authors:  Nicole D Osier; Yvette P Conley; David O Okonkwo; Ava M Puccio
Journal:  J Neurotrauma       Date:  2018-09-14       Impact factor: 5.269

Review 5.  MicroRNA Signature of Traumatic Brain Injury: From the Biomarker Discovery to the Point-of-Care.

Authors:  Valentina Di Pietro; Kamal M Yakoub; Ugo Scarpa; Cinzia Di Pietro; Antonio Belli
Journal:  Front Neurol       Date:  2018-06-14       Impact factor: 4.003

6.  Functional, Structural, and Neurotoxicity Biomarkers in Integrative Assessment of Concussions.

Authors:  Svetlana A Dambinova; Joseph C Maroon; Alicia M Sufrinko; John David Mullins; Eugenia V Alexandrova; Alexander A Potapov
Journal:  Front Neurol       Date:  2016-10-05       Impact factor: 4.003

Review 7.  Biomarkers of Traumatic Brain Injury: Temporal Changes in Body Fluids.

Authors:  Harel Adrian; Kvist Mårten; Nuutinen Salla; Välimaa Lasse
Journal:  eNeuro       Date:  2016-12-21

Review 8.  Ubiquitin C-terminal hydrolase L1 (UCH-L1): structure, distribution and roles in brain function and dysfunction.

Authors:  Paul Bishop; Dan Rocca; Jeremy M Henley
Journal:  Biochem J       Date:  2016-08-15       Impact factor: 3.857

9.  Human Serum Metabolites Associate With Severity and Patient Outcomes in Traumatic Brain Injury.

Authors:  Matej Orešič; Jussi P Posti; Maja H Kamstrup-Nielsen; Riikka S K Takala; Hester F Lingsma; Ismo Mattila; Sirkku Jäntti; Ari J Katila; Keri L H Carpenter; Henna Ala-Seppälä; Anna Kyllönen; Henna-Riikka Maanpää; Jussi Tallus; Jonathan P Coles; Iiro Heino; Janek Frantzén; Peter J Hutchinson; David K Menon; Olli Tenovuo; Tuulia Hyötyläinen
Journal:  EBioMedicine       Date:  2016-07-15       Impact factor: 8.143

Review 10.  Metabolomics Profiling As a Diagnostic Tool in Severe Traumatic Brain Injury.

Authors:  Jussi P Posti; Alex M Dickens; Matej Orešič; Tuulia Hyötyläinen; Olli Tenovuo
Journal:  Front Neurol       Date:  2017-08-18       Impact factor: 4.003

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