Ítem
Solo Metadatos
Are autoimmune diseases predictable?
Título de la revista
Autores
Tobón, Gabriel J.
Pers, Jacques-Olivier
Cañas, Carlos A.
Rojas-Villarraga, Adriana
Youinou, Pierre
Anaya, Juan-Manuel
Resumen
Abstract
Autoimmune diseases are complex diseases resulting of the interaction between both genetics and environmental factors over time. Different phases in the development of autoimmune diseases are characterized by the detection of serum autoantibodies several months or years before the onset of clinical manifestations and subsequent diagnosis. In addition to serum antibodies, genetic susceptibility factors may predict the future development of the disease. Currently, prediction in type 1 diabetes is the most accurate, with the analysis of genetic susceptibility factors in first-degree relatives of patients and several autoantibody tests. In the future, multiple antibodies test, in combination with the analysis of genetics, epigenetics and immunological anomalies in fine models may allow the precise prediction in autoimmune diseases. Prevention measures might thus be introduced as an attempt to avoid or delay the disease. © 2011 Elsevier B.V.
Palabras clave
Keywords
Antinuclear antibody , Autoantibody , animal , Glutamate decarboxylase , Immunosuppressive agent , Phospholipid antibody , Acquired immune deficiency syndrome , Allele , Antibody detection , Autoimmune disease , Clinical trial , Genetic susceptibility , Genetics , Human , Insulin dependent diabetes mellitus , Review , Rheumatoid arthritis , Systemic lupus erythematosus , Animals , Autoantibodies , Autoimmune diseases , Disease models , Gene-environment interaction , Genetic predisposition to disease , Genetic testing , Humans , Prognosis , Serology , Auto-antibodies , Autoimmune diseases , Genetic susceptibility , Positive predictive value , Prediction
