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Human antibody profiling technologies for autoimmune disease.
Carlton, Lauren H; McGregor, Reuben; Moreland, Nicole J.
Afiliação
  • Carlton LH; School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand. l.carlton@auckland.ac.nz.
  • McGregor R; Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand. l.carlton@auckland.ac.nz.
  • Moreland NJ; School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Immunol Res ; 71(4): 516-527, 2023 08.
Article em En | MEDLINE | ID: mdl-36690876
Autoimmune diseases are caused by the break-down in self-tolerance mechanisms and can result in the generation of autoantibodies specific to human antigens. Human autoantigen profiling technologies such as solid surface arrays and display technologies are powerful high-throughput technologies utilised to discover and map novel autoantigens associated with disease. This review compares human autoantigen profiling technologies including the application of these approaches in chronic and post-infectious autoimmune disease. Each technology has advantages and limitations that should be considered when designing new projects to profile autoantibodies. Recent studies that have utilised these technologies across a range of diseases have highlighted marked heterogeneity in autoantibody specificity between individuals as a frequent feature. This individual heterogeneity suggests that epitope spreading maybe an important mechanism in the pathogenesis of autoimmune disease in general and likely contributes to inflammatory tissue damage and symptoms. Studies focused on identifying autoantibody biomarkers for diagnosis should use targeted data analysis to identify the rarer public epitopes and antigens, common between individuals. Thus, utilisation of human autoantigen profiling technology, combined with different analysis approaches, can illuminate both pathogenesis and biomarker discovery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Autoimunes Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nova Zelândia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Autoimunes Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nova Zelândia