Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders

David S. Gibson*, Joao Banha, Deborah Penque, Luciana Costa, Thomas P. Conrads, Dolores J. Cahill, John K. O'Brien, Madeleine E. Rooney

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

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. Crown

Original languageEnglish
Pages (from-to)1045-1060
Number of pages16
JournalJournal of Proteomics
Volume73
Issue number6
DOIs
StatePublished - 18 Apr 2010
Externally publishedYes

Keywords

  • Autoimmune disease
  • Behçets disease
  • Dilated cardiomyopathy
  • Inflammation
  • Juvenile idiopathic arthritis
  • Proteomics

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