The detection of autoantibodies is an important and sophisticated step in the diagnosis of several systemic autoimmune diseases. Due to numerous known auto-antigens as well as to time consuming procedures, automates are increasingly used for detection of antibodies in solid phase but also immunofluorescence (IIF) based assays. Especially for the detection of anti-nuclear antibodies (ANA) and anti-neutrophil cytoplasmatic antibodies (ANCA), different methods are available all bearing their own advantages and limitations. To overcome subjectivity of IIF and for discrimination between positive and negative samples, automated digital reading systems have been developed during the last years. In addition, high throughput solid phase immunoassays using well characterized antigens are increasingly used. However, despite all the advances in the field of automated antibody detection, many concerns exist and challenges remain unsolved. This presentation will focus on the current status of automated autoantibody detection including IIF reading systems, the level of accuracy of these systems in pattern recognition and the correlation between the results provided by the instruments compared to manual testing.
Disclosure of Interest E. Feist Grant/research support from: Aesku, Orgentec, Medipan, Consultant for: Aesku, Orgentec, Medipan