BT-50 – Main target antigen for atypical pANCA for use in diagnostic tests
Scientists at the University of Bonn, Germany, have identified the main target antigen for the atypical antineutrophil cytoplasmic antibodies pANCA in autoimmune
liver disorders and chronic inflammatory bowel diseases. BT-50 can be produced by recombinant means and used for the quantification of atypical pANCA in serum probes. So far, atypical pANCA have been detected on ethanol-fixed neutrophils by indirect immunofluorescence microscopy. This complex and expensive method represents the “gold standard” by now. In order to develop a simple screening method for atypical pANCA, there have been several attempts to establish an ELISA for use in any routine laboratory. Up to now the sensitivity of these commercially available test systems has always been less than 50%, irrespective of the used antigen (e.g. myeloperoxidase (MPO), cathepsin G, bactericidal/permeability increasing protein etc.), as the responsible antigen was unknown up to the present. Now that BT-50 has been identified as the main target antigen for atypical pANCA, highly specific solid phase tests, e.g. ELISA, can be established for the detection of atypical pANCA. In contrast to immunofluorescence microscopy, ELISA tests can be easily performed in routine laboratories.
Further Information: PDF
PROvendis GmbH
Phone: +49 (0)208/94105 10
Contact
Dipl.-Ing. Alfred Schillert
Media Contact
All latest news from the category: Technology Offerings
Newest articles
The surprising role of gut infection in Alzheimer’s disease
ASU- and Banner Alzheimer’s Institute-led study implicates link between a common virus and the disease, which travels from the gut to the brain and may be a target for antiviral…
Molecular gardening: New enzymes discovered for protein modification pruning
How deubiquitinases USP53 and USP54 cleave long polyubiquitin chains and how the former is linked to liver disease in children. Deubiquitinases (DUBs) are enzymes used by cells to trim protein…
Machine learning accelerates catalyst discovery
Conceptual blueprint to analyze experimental catalyst data. Machine learning (ML) models have recently become popular in the field of heterogeneous catalyst design. The inherent complexity of the interactions between catalyst…