Literature DB >> 18260791

Identification of serum biomarkers in brain-injured adults: potential for predicting elevated intracranial pressure.

Georgene Hergenroeder1, John B Redell, Anthony N Moore, William P Dubinsky, Robert T Funk, John Crommett, Guy L Clifton, Robert Levine, Alex Valadka, Pramod K Dash.   

Abstract

Brain injury biomarkers may have clinical utility in stratifying injury severity level, predicting adverse secondary events or outcomes, and monitoring the effectiveness of therapeutic interventions. As a biomarker source, serum offers several advantages over cerebrospinal fluid (CSF), including ease of accessibility and reduced risk to the patient. We screened pooled serum samples obtained from 11 severely injured traumatic brain injury (TBI) patients (Glasgow Coma Scale [GCS] <or= 8) and 11 age-, sex- and race-matched volunteers. Two time points-41.5 +/- 4.9 h and 66.3 +/- 6.6 h post-injury-were chosen for the initial screening analysis. Samples were immunodepleted for 12 highly abundant serum proteins, and then labeled with mass-balanced isobaric tags (iTRAQ), and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Identification and quantification of 2455 iTRAQ-labeled peptides that mapped to 160 proteins revealed 31 candidate biomarkers whose serum abundance was altered after injury. Changes in three candidate biomarkers (serum amyloid A, [SAA], c-reactive protein [CRP], retinol binding protein 4 [RBP4]) were verified using independent TBI and healthy volunteer serum samples. Receiver operating characteristic (ROC) curve analysis of CRP and SAA indicated they were robust indicators of injury even at very acute time points. Analysis of serum RBP4 levels at 24-36 h post-injury indicates it may predict subsequent increases in intracranial pressure (ICP) with a sensitivity of 86% and specificity of 88% at 11.6 mug/mL [n = 7, ICP < 20 mm Hg; n = 8, ICP > 25 mm Hg). Our results support the use of serum as a source for discovery of TBI biomarkers, and indicate that serum biomarkers may have utility for predicting secondary pathologies (e.g., elevated ICP) associated with TBI.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18260791     DOI: 10.1089/neu.2007.0386

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


  33 in total

1.  A proteomic approach for plasma biomarker discovery with 8-plex iTRAQ labeling and SCX-LC-MS/MS.

Authors:  Haige Ye; Li Sun; Xiaojun Huang; Ping Zhang; Xiaoshu Zhao
Journal:  Mol Cell Biochem       Date:  2010-06-05       Impact factor: 3.396

Review 2.  Fluid biomarkers for mild traumatic brain injury and related conditions.

Authors:  Henrik Zetterberg; Kaj Blennow
Journal:  Nat Rev Neurol       Date:  2016-09-16       Impact factor: 42.937

Review 3.  Current status of fluid biomarkers in mild traumatic brain injury.

Authors:  Jacqueline R Kulbe; James W Geddes
Journal:  Exp Neurol       Date:  2015-05-14       Impact factor: 5.330

4.  Acute Phase Proteins in Cerebrospinal Fluid from Dogs with Naturally-Occurring Spinal Cord Injury.

Authors:  Kimberly M Anderson; C Jane Welsh; Colin Young; Gwendolyn J Levine; Sharon C Kerwin; C Elizabeth Boudreau; Ismael Reyes; Armando Mondragon; John F Griffin; Noah D Cohen; Jonathan M Levine
Journal:  J Neurotrauma       Date:  2015-07-17       Impact factor: 5.269

5.  SILAC compatible strain of Pichia pastoris for expression of isotopically labeled protein standards and quantitative proteomics.

Authors:  Ryan J Austin; Rolf E Kuestner; Debbie K Chang; Knut R Madden; Daniel B Martin
Journal:  J Proteome Res       Date:  2011-10-14       Impact factor: 4.466

6.  MicroRNAs in Cerebral Ischemia.

Authors:  Kai-Ying Lim; Jia-Hui Chua; Jun-Rong Tan; Priyadharshni Swaminathan; Sugunavathi Sepramaniam; Arunmozhiarasi Armugam; Peter Tsun-Hon Wong; Kandiah Jeyaseelan
Journal:  Transl Stroke Res       Date:  2010-12       Impact factor: 6.829

Review 7.  Clinical applications of biomarkers in pediatric traumatic brain injury.

Authors:  Simon J I Sandler; Anthony A Figaji; P David Adelson
Journal:  Childs Nerv Syst       Date:  2009-11-10       Impact factor: 1.475

8.  Application of mass spectrometry-based proteomics for biomarker discovery in neurological disorders.

Authors:  Abhilash Venugopal; Raghothama Chaerkady; Akhilesh Pandey
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

9.  Quantitative proteomic analysis by iTRAQ(R) for the identification of candidate biomarkers in ovarian cancer serum.

Authors:  Kristin Lm Boylan; John D Andersen; Lorraine B Anderson; LeeAnn Higgins; Amy Pn Skubitz
Journal:  Proteome Sci       Date:  2010-06-14       Impact factor: 2.480

10.  A proteomic approach for plasma biomarker discovery with iTRAQ labelling and OFFGEL fractionation.

Authors:  Emilie Ernoult; Anthony Bourreau; Erick Gamelin; Catherine Guette
Journal:  J Biomed Biotechnol       Date:  2009-11-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.