Literature DB >> 23112123

Application of quantitative proteomics technologies to the biomarker discovery pipeline for multiple sclerosis.

Laura F Dagley1, Andrew Emili, Anthony W Purcell.   

Abstract

Multiple sclerosis is an inflammatory-mediated demyelinating disorder most prevalent in young Caucasian adults. The various clinical manifestations of the disease present several challenges in the clinic in terms of diagnosis, monitoring disease progression and response to treatment. Advances in MS-based proteomic technologies have revolutionized the field of biomarker research and paved the way for the identification and validation of disease-specific markers. This review focuses on the novel candidates discovered by the application of quantitative proteomics to relevant disease-affected tissues in both the human context and within the animal model of the disease known as experimental autoimmune encephalomyelitis. The role of targeted MS approaches for biomarker validation studies, such as multiple reaction monitoring will also be discussed.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23112123     DOI: 10.1002/prca.201200104

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  3 in total

1.  Discovery of novel disease-specific and membrane-associated candidate markers in a mouse model of multiple sclerosis.

Authors:  Laura F Dagley; Nathan P Croft; Ruth Isserlin; Jonathan B Olsen; Vincent Fong; Andrew Emili; Anthony W Purcell
Journal:  Mol Cell Proteomics       Date:  2013-12-20       Impact factor: 5.911

2.  Identification of 7 Proteins in Sera of RA Patients with Potential to Predict ETA/MTX Treatment Response.

Authors:  Antoine Obry; Julie Hardouin; Thierry Lequerré; Frédérique Jarnier; Olivier Boyer; Patrice Fardellone; Peggy Philippe; Christian Marcelli; Xavier Le Loët; Olivier Vittecoq; Pascal Cosette
Journal:  Theranostics       Date:  2015-08-09       Impact factor: 11.556

3.  Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.

Authors:  Maria Liguori; Antonio Qualtieri; Carla Tortorella; Vita Direnzo; Angelo Bagalà; Mariangela Mastrapasqua; Patrizia Spadafora; Maria Trojano
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

  3 in total

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