Related Experiment Video
Updated: Feb 10, 2026
10:19
High-throughput Flow Cytometry Cell-based Assay to Detect Antibodies to N-Methyl-D-aspartate Receptor or Dopamine-2 Receptor in Human Serum
Published on: November 23, 2013
16.8K
Positive B cell flow cytometry crossmatch without detectable donor-specific antibodies: true or false reactivity?
Sonali N de Chickera1, Sabina Al Agbar2, Arpit Sharma3
1Department of Medicine, Division of Nephrology, McGill University Health Centre, Montreal, QC, Canada.
Frontiers in Immunology
|February 9, 2026
Summary
Positive B-cell flow cytometry crossmatches (FCXM) without donor-specific antibodies (DSAs) may be false positives. Comprehensive testing is crucial for accurate kidney transplant risk assessment and improved outcomes.
Area of Science:
- Nephrology
- Immunology
- Transplantation
Background:
- Flow cytometry crossmatches (FCXM) are vital in kidney transplantation.
- Solid-phase assays (SPAs) aid in distinguishing true positive from false positive FCXM results.
- Discordant FCXM and SPA results can cause transplant delays.
Purpose of the Study:
- To analyze discordant cases of positive B-cell FCXM with absent donor-specific antibodies (DSAs).
- To evaluate the impact of comprehensive antibody testing on kidney transplant decisions.
Main Methods:
- Analysis of three kidney transplant cases with positive B-cell FCXM and negative SPAs.
- Utilized HLA typing, FCXM, antibody screening, and expanded single antigen bead assays.
- Included surrogate crossmatches to assess antibody specificities.
Main Results:
- Positive FCXM results did not consistently correlate with SPA-confirmed DSAs.
- Surrogate crossmatch results varied, influencing transplant decisions.
- One recipient had a transplant halted due to an unacceptable antigen identified via surrogate crossmatch.
Conclusions:
- A positive FCXM in the absence of DSAs may indicate a false positive result.
- Comprehensive pre-transplant evaluation using multiple diagnostic techniques is essential.
- Accurate antibody assessment improves risk stratification, transplant outcomes, and donor pool utilization.
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