Literature DB >> 30760178

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

Jussi P Posti1,2,3, Riikka S K Takala2,4, Linnéa Lagerstedt5, Alex M Dickens6, Iftakher Hossain1,2,3, Mehrbod Mohammadian2,3, Henna Ala-Seppälä2,3, Janek Frantzén1,3, Mark van Gils7, Peter J Hutchinson8, Ari J Katila2,5, Henna-Riikka Maanpää1,2,3, David K Menon9, Virginia F Newcombe9, Jussi Tallus2,3,10, Kevin Hrusovsky11, David H Wilson11, Jessica Gill12, Jean-Charles Sanchez5, Olli Tenovuo2,3, Henrik Zetterberg13,14,15,16, Kaj Blennow13,14.   

Abstract

The aim of the study was to examine the ability of eight protein biomarkers and their combinations in discriminating computed tomography (CT)-negative and CT-positive patients with traumatic brain injury (TBI), utilizing highly sensitive immunoassays in a well-characterized cohort. Blood samples were obtained from 160 patients with acute TBI within 24 h of admission. Levels of β-amyloid isoforms 1-40 (Aβ40) and 1-42 (Aβ42), glial fibrillary acidic protein (GFAP), heart fatty-acid binding protein (H-FABP), interleukin 10 (IL-10), neurofilament light (NF-L), S100 calcium-binding protein B (S100B), and tau were measured. Patients were divided into CT-negative (n = 65) and CT-positive (n = 95), and analyses were conducted separately for TBIs of all severities (Glasgow Coma Scale [GCS] score 3-15) and mild TBIs (mTBIs; GCS 13-15). NF-L, GFAP, and tau were the best in discriminating CT-negative and CT-positive patients, both in patients with mTBI and with all severities. In patients with all severities, area under the curve of the receiver operating characteristic (AUC) was 0.822, 0.817, and 0.781 for GFAP, NF-L, and tau, respectively. In patients with mTBI, AUC was 0.720, 0.689, and 0.676, for GFAP, tau, and NF-L, respectively. The best panel of three biomarkers for discriminating CT-negative and CT-positive patients in the group of all severities was a combination of GFAP+H-FABP+IL-10, with a sensitivity of 100% and specificity of 38.5%. In patients with mTBI, the best panel of three biomarkers was H-FABP+S100B+tau, with a sensitivity of 100% and specificity of 46.4%. Panels of biomarkers outperform individual biomarkers in separating CT-negative and CT-positive patients. Panels consisted mainly of different biomarkers than those that performed best as an individual biomarker.

Entities:  

Keywords:  biomarkers; computed tomography; traumatic brain injury

Mesh:

Substances:

Year:  2019        PMID: 30760178      PMCID: PMC6909751          DOI: 10.1089/neu.2018.6254

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  37 in total

Review 1.  Diagnosis, prognosis, and clinical management of mild traumatic brain injury.

Authors:  Harvey S Levin; Ramon R Diaz-Arrastia
Journal:  Lancet Neurol       Date:  2015-03-20       Impact factor: 44.182

2.  GFAP out-performs S100β in detecting traumatic intracranial lesions on computed tomography in trauma patients with mild traumatic brain injury and those with extracranial lesions.

Authors:  Linda Papa; Salvatore Silvestri; Gretchen M Brophy; Philip Giordano; Jay L Falk; Carolina F Braga; Ciara N Tan; Neema J Ameli; Jason A Demery; Neha K Dixit; Matthew E Mendes; Ronald L Hayes; Kevin K W Wang; Claudia S Robertson
Journal:  J Neurotrauma       Date:  2014-09-12       Impact factor: 5.269

3.  Modeling the Kinetics of Serum Glial Fibrillary Acidic Protein, Ubiquitin Carboxyl-Terminal Hydrolase-L1, and S100B Concentrations in Patients with Traumatic Brain Injury.

Authors:  Robert D Welch; Morgan Ellis; Lawrence M Lewis; Syed I Ayaz; Valerie H Mika; Scott Millis; Linda Papa
Journal:  J Neurotrauma       Date:  2017-02-27       Impact factor: 5.269

4.  Acute biomarkers of traumatic brain injury: relationship between plasma levels of ubiquitin C-terminal hydrolase-L1 and glial fibrillary acidic protein.

Authors:  Ramon Diaz-Arrastia; Kevin K W Wang; Linda Papa; Marco D Sorani; John K Yue; Ava M Puccio; Paul J McMahon; Tomoo Inoue; Esther L Yuh; Hester F Lingsma; Andrew I R Maas; Alex B Valadka; David O Okonkwo; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2013-10-09       Impact factor: 5.269

Review 5.  Fatty acid-binding proteins: role in metabolic diseases and potential as drug targets.

Authors:  Masato Furuhashi; Gökhan S Hotamisligil
Journal:  Nat Rev Drug Discov       Date:  2008-06       Impact factor: 84.694

6.  The Levels of Glial Fibrillary Acidic Protein and Ubiquitin C-Terminal Hydrolase-L1 During the First Week After a Traumatic Brain Injury: Correlations With Clinical and Imaging Findings.

Authors:  Jussi P Posti; Riikka S K Takala; Hilkka Runtti; Virginia F Newcombe; Joanne Outtrim; Ari J Katila; Janek Frantzén; Henna Ala-Seppälä; Jonathan P Coles; Md Iftakher Hossain; Anna Kyllönen; Henna-Riikka Maanpää; Jussi Tallus; Peter J Hutchinson; Mark van Gils; David K Menon; Olli Tenovuo
Journal:  Neurosurgery       Date:  2016-09       Impact factor: 4.654

7.  Scandinavian guidelines for initial management of minimal, mild and moderate head injuries in adults: an evidence and consensus-based update.

Authors:  Johan Undén; Tor Ingebrigtsen; Bertil Romner
Journal:  BMC Med       Date:  2013-02-25       Impact factor: 8.775

8.  Ability of Serum Glial Fibrillary Acidic Protein, Ubiquitin C-Terminal Hydrolase-L1, and S100B To Differentiate Normal and Abnormal Head Computed Tomography Findings in Patients with Suspected Mild or Moderate Traumatic Brain Injury.

Authors:  Robert D Welch; Syed I Ayaz; Lawrence M Lewis; Johan Unden; James Y Chen; Valerie H Mika; Ben Saville; Joseph A Tyndall; Marshall Nash; Andras Buki; Pal Barzo; Dallas Hack; Frank C Tortella; Kara Schmid; Ronald L Hayes; Arastoo Vossough; Stephen T Sweriduk; Jeffrey J Bazarian
Journal:  J Neurotrauma       Date:  2015-12-18       Impact factor: 5.269

9.  Early measurement of interleukin-10 predicts the absence of CT scan lesions in mild traumatic brain injury.

Authors:  Linnéa Lagerstedt; Juan José Egea-Guerrero; Ana Rodríguez-Rodríguez; Alejandro Bustamante; Joan Montaner; Amir El Rahal; Elisabeth Andereggen; Lara Rinaldi; Asita Sarrafzadeh; Karl Schaller; Jean-Charles Sanchez
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

10.  Time Course and Diagnostic Accuracy of Glial and Neuronal Blood Biomarkers GFAP and UCH-L1 in a Large Cohort of Trauma Patients With and Without Mild Traumatic Brain Injury.

Authors:  Linda Papa; Gretchen M Brophy; Robert D Welch; Lawrence M Lewis; Carolina F Braga; Ciara N Tan; Neema J Ameli; Marco A Lopez; Crystal A Haeussler; Diego I Mendez Giordano; Salvatore Silvestri; Philip Giordano; Kurt D Weber; Crystal Hill-Pryor; Dallas C Hack
Journal:  JAMA Neurol       Date:  2016-05-01       Impact factor: 18.302

View more
  19 in total

1.  The diagnostic and prognostic value of glial fibrillary acidic protein in traumatic brain injury: a systematic review and meta-analysis.

Authors:  Yunlong Pei; Xiaojia Tang; Enpeng Zhang; Kongye Lu; Boming Xia; Jun Zhang; Yujia Huang; HengZhu Zhang; Lun Dong
Journal:  Eur J Trauma Emerg Surg       Date:  2022-05-07       Impact factor: 3.693

Review 2.  S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy.

Authors:  Michael Amoo; Jack Henry; Philip J O'Halloran; Paul Brennan; Mohammed Ben Husien; Matthew Campbell; John Caird; Mohsen Javadpour; Gerard F Curley
Journal:  Neurosurg Rev       Date:  2021-10-28       Impact factor: 3.042

3.  Heart-type fatty acid-binding protein: an overlooked cardiac biomarker.

Authors:  Harsh Goel; Joshua Melot; Matthew D Krinock; Ashish Kumar; Sunil K Nadar; Gregory Y H Lip
Journal:  Ann Med       Date:  2020-08-04       Impact factor: 4.709

4.  Circulating miRNAs expression as potential biomarkers of mild traumatic brain injury.

Authors:  Francesca Polito; Fausto Famà; Rosaria Oteri; Giovanni Raffa; Gianluca Vita; Alfredo Conti; Sacco Daniele; Vincenzo Macaione; Marcello Passalacqua; Salvatore Cardali; Rosa Maria Di Giorgio; Maria Gioffrè; Flavio F Angileri; Antonino Germanò; M'Hammed Aguennouz
Journal:  Mol Biol Rep       Date:  2020-03-26       Impact factor: 2.316

5.  Admission Levels of Total Tau and β-Amyloid Isoforms 1-40 and 1-42 in Predicting the Outcome of Mild Traumatic Brain Injury.

Authors:  Iftakher Hossain; Mehrbod Mohammadian; Riikka S K Takala; Olli Tenovuo; Leire Azurmendi Gil; 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; Kaj Blennow; Jean-Charles Sanchez; Henrik Zetterberg; Jussi P Posti
Journal:  Front Neurol       Date:  2020-05-13       Impact factor: 4.003

6.  Serum SNTF, a Surrogate Marker of Axonal Injury, Is Prognostic for Lasting Brain Dysfunction in Mild TBI Treated in the Emergency Department.

Authors:  Robert Siman; Hongmei Cui; Sandi S Wewerka; Lydia Hamel; Douglas H Smith; Michael D Zwank
Journal:  Front Neurol       Date:  2020-04-08       Impact factor: 4.003

7.  Neurofilament light as a biomarker in traumatic brain injury.

Authors:  Pashtun Shahim; Adam Politis; Andre van der Merwe; Brian Moore; Yi-Yu Chou; Dzung L Pham; John A Butman; Ramon Diaz-Arrastia; Jessica M Gill; David L Brody; Henrik Zetterberg; Kaj Blennow; Leighton Chan
Journal:  Neurology       Date:  2020-07-08       Impact factor: 9.910

8.  Plasma Lipidomic Analyses in Cohorts With mTBI and/or PTSD Reveal Lipids Differentially Associated With Diagnosis and APOE ε4 Carrier Status.

Authors:  Claire J C Huguenard; Adam Cseresznye; James E Evans; Sarah Oberlin; Heather Langlois; Scott Ferguson; Teresa Darcey; Aurore Nkiliza; Michael Dretsch; Michael Mullan; Fiona Crawford; Laila Abdullah
Journal:  Front Physiol       Date:  2020-01-31       Impact factor: 4.566

9.  Integrative Analysis of Circulating Metabolite Profiles and Magnetic Resonance Imaging Metrics in Patients with Traumatic Brain Injury.

Authors:  Ilias Thomas; Alex M Dickens; Jussi P Posti; Mehrbod Mohammadian; Christian Ledig; Riikka S K Takala; Tuulia Hyötyläinen; Olli Tenovuo; Matej Orešič
Journal:  Int J Mol Sci       Date:  2020-02-19       Impact factor: 5.923

10.  Plasma Exosome-derived MicroRNAs as Novel Biomarkers of Traumatic Brain Injury in Rats.

Authors:  Pengcheng Wang; Haoli Ma; Yuxian Zhang; Rong Zeng; Jiangtao Yu; Ruining Liu; Xiaoqing Jin; Yan Zhao
Journal:  Int J Med Sci       Date:  2020-02-04       Impact factor: 3.738

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.