4.3 Article

Predictors of autoimmune disease: Autoantibodies and beyond

Journal

AUTOIMMUNITY
Volume 41, Issue 6, Pages 419-428

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/08916930802031686

Keywords

biomarkers; thyroiditis; diabetes; Graves' disease; lupus; multiple sclerosis

Categories

Funding

  1. NIH [HL077611, HL070729, HL071057]
  2. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL070729, R01HL077611, R56HL077611] Funding Source: NIH RePORTER

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Increased emphasis has been placed in recent years on predictive biomarkers to foretell the onset or future course of disease. In autoimmune diseases, autoantibodies have proven to be valuable biomarkers because of their technical sensitivity, specificity, and stability during storage. Their predictive value is limited, however, by their prevalence. At present, predictive studies have utilized long-time evaluation of stable populations, families with one index case or retrospective investigations where large serum repositories are available. Our increasing knowledge of the steps leading from benign autoimmunity to frank autoimmune disease has suggested ways by which subtle genetic differences combined with assessment of the pattern of critical mediators can trace the progression of disease. The new tools of multiplex testing and information handling open opportunities to identify early signposts of disease.

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