The DQ barrier: improving organ allocation equity using HLA-DQ information

Transplantation. 2013 Feb 27;95(4):635-40. doi: 10.1097/TP.0b013e318277b30b.

Abstract

Background: The United Network for Organ Sharing algorithm for deceased-donor kidney allocation considers only the human leukocyte antigen (HLA)-A, HLA-B, and HLA-DR loci. Although HLA-DQ serologic specificities can be entered as unacceptable antigens, they are assigned only by the identity of the DQβ chain, disregarding the role of the similarly polymorphic α chain. DQα/β combinations result in unique antigenic epitopes, which serve as targets to different antibodies. Therefore, the presence of HLA antibodies to one DQα/β combination should not preclude negative crossmatch (XM) against another combination. In this retrospective analysis, patients were allowed XM against a particular donor if they had antibodies to some, but not all, DQα/β allele combinations with the donor serologic HLA-DQ antigens.

Methods: HLA antibody signature was obtained using solid-phase Luminex-based antibody analysis. Results were captured at the high-resolution level (as provided by the positive beads). Potential donors were typed to include information on both HLA-DQA and HLA-DQB alleles.

Results: Of the 1130 flow XM assays performed, 147 patients had antibodies to donor serologic HLA-DQ antigens. Thirty-five of those patients had antibodies to an allelic DQα/β combination within the donor serologic DQ specificity that were different from the donor's DQα/β, leading to negative flow XM results (24%). Virtual XM, accounting for donor DQα/β combinations, successfully predicts more than 98% of XM outcomes.

Conclusions: In patients with allelic DQα/β antibodies, denying the opportunity for XM based on serologically defined unacceptable antigens can disadvantage the patient. Larger cohort studies are required to substantiate our observation. Introducing DQα/β combination information may increase virtual XM accuracy and organ allocation equity.

Publication types

  • Case Reports

MeSH terms

  • Aged
  • Algorithms
  • Donor Selection*
  • Female
  • Graft Rejection / immunology
  • Graft Rejection / prevention & control*
  • Graft Survival*
  • HLA-DQ Antigens / immunology*
  • HLA-DQ alpha-Chains / immunology
  • HLA-DQ beta-Chains / immunology
  • Histocompatibility Testing*
  • Histocompatibility*
  • Humans
  • Isoantibodies / blood*
  • Male
  • Organ Transplantation / adverse effects*
  • Predictive Value of Tests
  • Retrospective Studies
  • Time Factors
  • Transplantation Tolerance*
  • Treatment Outcome

Substances

  • HLA-DQ Antigens
  • HLA-DQ alpha-Chains
  • HLA-DQ beta-Chains
  • Isoantibodies