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Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.18/156

Título: Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders
Autor: Gibson, David S.
Banha, João
Penque, Deborah
Costa, Luciana
Conrads, Thomas P.
Cahill, Dolores J.
O'Brien, John K.
Rooney, Madeleine E.
Palavras-chave: Proteomics
Inflammation
Autoimmune disease
Behçets disease
Juvenile idiopathic arthritis
Dilated cardiomyopathy
Genómica Funcional e Estrutural
Determinantes Imunológicos em Doenças Crónicas
Issue Date: 18-Apr-2010
Editora: Elsevier
Citação: J Proteomics. 2010 Apr 18;73(6):1045-60. Epub 2009 Dec 5
Resumo: Current clinical, laboratory or radiological parameters cannot accurately diagnose or predict disease outcomes in a range of autoimmune disorders. Biomarkers which can diagnose at an earlier time point, predict outcome or help guide therapeutic strategies in autoimmune diseases could improve clinical management of this broad group of debilitating disorders. Additionally, there is a growing need for a deeper understanding of multi-factorial autoimmune disorders. Proteomic platforms offering a multiplex approach are more likely to reflect the complexity of autoimmune disease processes. Findings from proteomic based studies of three distinct autoimmune diseases are presented and strategies compared. It is the authors' view that such approaches are likely to be fruitful in the movement of autoimmune disease treatment away from reactive decisions and towards a preventative stand point.
Arbitragem científica: yes
URI: http://hdl.handle.net/10400.18/156
ISSN: 1874-3919
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S1874391909003467
Appears in Collections:DGH - Artigos em revistas internacionais
DPSPDNT - Artigos em revistas internacionais

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