Literature DB >> 32418254

The shared epitope phenomenon-A potential impediment to virtual crossmatch accuracy.

Cynthia Garcia-Sanchez1, Crystal Y Usenko1, Nancy D Herrera1, Anat R Tambur1.   

Abstract

With the implementation of the new kidney allocation system (KAS), there is increased reliance on a virtual crossmatch/histocompatibility risk assessment (vXM) for evaluating potential presence, as well as strength, of HLA antibodies against a potential donor. The accuracy of such an assessment depends on the precision in the identification of the recipient's antibody profile and the potential donor's HLA typing. While the development of the single antigen bead (SAB) multiplex assay has improved the sensitivity and specificity of HLA antibody detection, several limitations of the assay (specific to certain sensitized patients) can complicate accurate interpretation of results. In this report, we focus on the "shared-epitope" phenomenon, a condition in which antibody strength can be underrepresented, or its presence completely missed, due to binding of the antibody to competing targets on multiple antigens (beads), effectively "diluting" the resulting MFI readout. Here, we provide a relevant background to understand this phenomenon and present a couple of case studies illustrating how it can be investigated, leading to a more accurate histocompatibility consultation.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  alloantibody; crossmatch; flow cytometry; organ allocation; panel-reactive antibody

Mesh:

Substances:

Year:  2020        PMID: 32418254     DOI: 10.1111/ctr.13906

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  2 in total

1.  Dynamic Behaviour of Donor Specific Antibodies in the Early Period Following HLA Incompatible Kidney Transplantation.

Authors:  Mason Phillpott; Sunil Daga; Rob Higgins; David Lowe; Nithya Krishnan; Daniel Zehnder; David Briggs; Natalia Khovanova
Journal:  Transpl Int       Date:  2022-04-11       Impact factor: 3.842

2.  Unique Molecular Identifier-Based High-Resolution HLA Typing and Transcript Quantitation Using Long-Read Sequencing.

Authors:  Caleb Cornaby; Maureen C Montgomery; Chang Liu; Eric T Weimer
Journal:  Front Genet       Date:  2022-06-13       Impact factor: 4.772

  2 in total

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