Literature DB >> 23059536

Discovery and initial verification of differentially abundant proteins between multiple sclerosis patients and controls using iTRAQ and SID-SRM.

Ann C Kroksveen1, Elise Aasebø, Heidrun Vethe, Vincent Van Pesch, Diego Franciotta, Charlotte E Teunissen, Rune J Ulvik, Christian Vedeler, Kjell-Morten Myhr, Harald Barsnes, Frode S Berven.   

Abstract

In the present study, we aimed to discover cerebrospinal fluid (CSF) proteins with significant abundance difference between early multiple sclerosis patients and controls, and do an initial verification of these proteins using selected reaction monitoring (SRM). iTRAQ and Orbitrap MS were used to compare the CSF proteome of patients with clinically isolated syndrome (CIS) (n=5), patients with relapsing-remitting multiple sclerosis that had CIS at the time of lumbar puncture (n=5), and controls with other inflammatory neurological disease (n=5). Of more than 1200 identified proteins, five proteins were identified with significant abundance difference between the patients and controls. In the initial verification using SRM we analyzed a larger patient and control cohort (n=132) and also included proteins reported as differentially abundant in multiple sclerosis in the literature. We found significant abundance difference for 11 proteins after verification, of which the five proteins alpha-1-antichymotrypsin, contactin-1, apolipoprotein D, clusterin, and kallikrein-6 were significantly differentially abundant in several of the group comparisons. This initial study form the basis for further biomarker verification studies in even larger sample cohorts, to determine if these proteins have relevance as diagnostic or prognostic biomarkers for multiple sclerosis.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23059536     DOI: 10.1016/j.jprot.2012.09.037

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  23 in total

1.  CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders.

Authors:  Astrid Guldbrandsen; Yehia Farag; Ann Cathrine Kroksveen; Eystein Oveland; Ragnhild R Lereim; Jill A Opsahl; Kjell-Morten Myhr; Frode S Berven; Harald Barsnes
Journal:  Mol Cell Proteomics       Date:  2016-11-27       Impact factor: 5.911

Review 2.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

Review 3.  Unbiased and targeted mass spectrometry for the HDL proteome.

Authors:  Sasha A Singh; Masanori Aikawa
Journal:  Curr Opin Lipidol       Date:  2017-02       Impact factor: 4.776

4.  From Analysis of Ischemic Mouse Brain Proteome to Identification of Human Serum Clusterin as a Potential Biomarker for Severity of Acute Ischemic Stroke.

Authors:  Hailong Song; Hui Zhou; Zhe Qu; Jie Hou; Weilong Chen; Weiwu Cai; Qiong Cheng; Dennis Y Chuang; Shanyan Chen; Shuwei Li; Jilong Li; Jianlin Cheng; C Michael Greenlief; Yuan Lu; Agnes Simonyi; Grace Y Sun; Chenghan Wu; Jiankun Cui; Zezong Gu
Journal:  Transl Stroke Res       Date:  2018-11-21       Impact factor: 6.829

Review 5.  Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.

Authors:  Chaochao Wu; Jicheng Duan; Tao Liu; Richard D Smith; Wei-Jun Qian
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2016-01-12       Impact factor: 3.205

6.  A label-free selected reaction monitoring workflow identifies a subset of pregnancy specific glycoproteins as potential predictive markers of early-onset pre-eclampsia.

Authors:  Richard T Blankley; Christal Fisher; Melissa Westwood; Robyn North; Philip N Baker; Michael J Walker; Andrew Williamson; Anthony D Whetton; Wanchang Lin; Lesley McCowan; Claire T Roberts; Garth J S Cooper; Richard D Unwin; Jenny E Myers
Journal:  Mol Cell Proteomics       Date:  2013-07-29       Impact factor: 5.911

7.  Protein-Based Classifier to Predict Conversion from Clinically Isolated Syndrome to Multiple Sclerosis.

Authors:  Eva Borràs; Ester Cantó; Meena Choi; Luisa Maria Villar; José Carlos Álvarez-Cermeño; Cristina Chiva; Xavier Montalban; Olga Vitek; Manuel Comabella; Eduard Sabidó
Journal:  Mol Cell Proteomics       Date:  2015-11-09       Impact factor: 5.911

8.  Quantitative proteomics comparison of arachnoid cyst fluid and cerebrospinal fluid collected perioperatively from arachnoid cyst patients.

Authors:  Magnus Berle; Ann Cathrine Kroksveen; Hilde Garberg; Mads Aarhus; Oystein Ariansen Haaland; Knut Wester; Rune Johan Ulvik; Christian Helland; Frode Berven
Journal:  Fluids Barriers CNS       Date:  2013-04-29

Review 9.  Alpha-1-antichymotrypsin as a novel biomarker for diagnosis, prognosis, and therapy prediction in human diseases.

Authors:  Yanxia Jin; Weidong Wang; Qiyun Wang; Yueyang Zhang; Kashif Rafiq Zahid; Umar Raza; Yongsheng Gong
Journal:  Cancer Cell Int       Date:  2022-04-19       Impact factor: 6.429

Review 10.  Facilitating the Validation of Novel Protein Biomarkers for Dementia: An Optimal Workflow for the Development of Sandwich Immunoassays.

Authors:  Marta Del Campo; Wesley Jongbloed; Harry A M Twaalfhoven; Robert Veerhuis; Marinus A Blankenstein; Charlotte E Teunissen
Journal:  Front Neurol       Date:  2015-09-29       Impact factor: 4.003

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