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Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders
Authors:David S Gibson  Joao Banha  Deborah Penque  Luciana Costa  Thomas P Conrads  Dolores J Cahill  John K O'Brien  Madeleine E Rooney
Institution:1. Arthritis Research Group, Queen''s University Belfast, Belfast, BT9 7BL, UK;2. Laboratório de Proteómica, Departamento de Genética, Instituto Nacional de Saúde Dr Ricardo Jorge, 1649-016 Lisboa, Portugal;3. Grupo de Imunologia Molecular e Celular, Departamento de Promoção da Saúde e Doenças Crónicas, Instituto Nacional de Saúde Dr Ricardo Jorge, 1649-016 Lisboa, Portugal;4. Department of Pharmacology and Chemical Biology and Mass Spectrometry Platform, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA;5. Human Molecular Genetics and Functional Analysis Unit, Center for Biodiversity, Functional & Integrative Genomics (BioFIG) Campo Grande - 1749-016 Lisboa, Portugal;6. Conway Institute of Biomedical and Biomolecular Science, University College Dublin, Belfield, Dublin 4, Ireland;7. Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
Abstract: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.
Keywords:
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