Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders.
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.
Gibson
David S
DS
Arthritis Research Group, Queen's University Belfast, Belfast, BT9 7BL, UK. d.gibson@qub.ac.uk
Banha
Joao
J
Penque
Deborah
D
Costa
Luciana
L
Conrads
Thomas P
TP
Cahill
Dolores J
DJ
O'Brien
John K
JK
Rooney
Madeleine E
ME
D001171:Arthritis, Juvenile / Q000378:metabolism; D001327:Autoimmune Diseases / Q000378:metabolism*; D001528:Behcet Syndrome / Q000378:metabolism; D015415:Biomarkers / Q000378:metabolism*; D002311:Cardiomyopathy, Dilated / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D005786:Gene Expression Regulation; D006801:Humans; D020543:Proteome; D040901:Proteomics / Q000379:methods*
D015415:Biomarkers; D020543:Proteome