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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
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The shared epitope phenomenon-A potential impediment to virtual crossmatch accuracy
Cynthia Garcia-Sanchez1, Crystal Y Usenko1, Nancy D Herrera1
1Transplant Immunology Laboratory, Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA.
Clinical Transplantation
|May 18, 2020
Summary
The new kidney allocation system relies on virtual crossmatch (vXM) for HLA antibody assessment. A shared-epitope phenomenon can lead to underestimating antibody strength in vXM, impacting kidney transplant compatibility.
Area of Science:
- Immunology
- Transplantation
- Medical Diagnostics
Background:
- The implementation of the new kidney allocation system (KAS) increases reliance on virtual crossmatch (vXM) for assessing HLA antibodies.
- Accurate vXM depends on precise recipient antibody profiling and donor HLA typing.
- Single antigen bead (SAB) assays improve HLA antibody detection but have limitations for sensitized patients.
Purpose of the Study:
- To explain the shared-epitope phenomenon affecting HLA antibody detection.
- To illustrate how this phenomenon can lead to underrepresentation of antibody strength.
- To present case studies for improved histocompatibility consultation.
Main Methods:
- Focus on the shared-epitope phenomenon in SAB assays.
- Analysis of antibody binding to competing targets on multiple antigens.
- Case study investigations of complex antibody profiles.
Main Results:
- The shared-epitope phenomenon can dilute Mean Fluorescence Intensity (MFI) readouts.
- This can lead to underestimation or missed detection of clinically significant HLA antibodies.
- Case studies demonstrate methods to identify and interpret these complex antibody profiles.
Conclusions:
- Accurate histocompatibility assessment requires understanding the shared-epitope phenomenon.
- Investigating diluted MFI signals is crucial for sensitized patients.
- Improved interpretation leads to more accurate vXM and better kidney allocation decisions.

