Literature DB >> 23288109

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

Anat R Tambur1, Joseph R Leventhal, Jennifer R Zitzner, R Carlin Walsh, John J Friedewald.   

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.

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Year:  2013        PMID: 23288109     DOI: 10.1097/TP.0b013e318277b30b

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  10 in total

1.  Early acute antibody-mediated rejection of a negative flow crossmatch 3rd kidney transplant with exclusive disparity at HLA-DP.

Authors:  Beata Mierzejewska; Paul M Schroder; Caitlin E Baum; Annette Blair; Connie Smith; Rene J Duquesnoy; Marilyn Marrari; Amira Gohara; Deepak Malhotra; Dinkar Kaw; Robert Liwski; Michael A Rees; Stanislaw Stepkowski
Journal:  Hum Immunol       Date:  2014-04-19       Impact factor: 2.850

2.  Predicting kidney transplant outcomes with partial knowledge of HLA mismatch.

Authors:  Charles F Manski; Anat R Tambur; Michael Gmeiner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

3.  Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival.

Authors:  Dulat Bekbolsynov; Beata Mierzejewska; Jadwiga Borucka; Robert S Liwski; Anna L Greenshields; Joshua Breidenbach; Bradley Gehring; Shravan Leonard-Murali; Sadik A Khuder; Michael Rees; Robert C Green; Stanislaw M Stepkowski
Journal:  Front Immunol       Date:  2020-10-29       Impact factor: 7.561

Review 4.  Human leukocyte antigens and alloimmunization in heart transplantation: an open debate.

Authors:  Antonietta Picascia; Vincenzo Grimaldi; Amelia Casamassimi; Maria Rosaria De Pascale; Concetta Schiano; Claudio Napoli
Journal:  J Cardiovasc Transl Res       Date:  2014-09-05       Impact factor: 4.132

Review 5.  The specificity of acute and chronic microvascular alterations in renal allografts.

Authors:  Edward J Filippone; John L Farber
Journal:  Clin Transplant       Date:  2013-10-01       Impact factor: 2.863

Review 6.  Alloantibody Generation and Effector Function Following Sensitization to Human Leukocyte Antigen.

Authors:  Michelle J Hickey; Nicole M Valenzuela; Elaine F Reed
Journal:  Front Immunol       Date:  2016-02-04       Impact factor: 7.561

7.  cPRA Increases With DQA, DPA, and DPB Unacceptable Antigens in the Canadian cPRA Calculator.

Authors:  K J Tinckam; R Liwski; D Pochinco; M Mousseau; A Grattan; P Nickerson; P Campbell
Journal:  Am J Transplant       Date:  2015-06-16       Impact factor: 8.086

8.  The Immunogenicity of HLA Class II Mismatches: The Predicted Presentation of Nonself Allo-HLA-Derived Peptide by the HLA-DR Phenotype of the Recipient Is Associated with the Formation of DSA.

Authors:  Vadim Jucaud
Journal:  J Immunol Res       Date:  2017-02-26       Impact factor: 4.818

9.  Two Cases of Antibody-Mediated Rejection Following Kidney Transplantation due to HLA-DQB1 Allele-Specific and DQ Alpha Protein-Specific HLA Antibodies.

Authors:  Seung Hwan Song; Borae G Park; Beom Seok Kim; Yu Seun Kim; Hyon Suk Kim
Journal:  Ann Lab Med       Date:  2017-05       Impact factor: 3.464

10.  Clinical importance of extended second field high-resolution HLA genotyping for kidney transplantation.

Authors:  Aleksandar Senev; Marie-Paule Emonds; Vicky Van Sandt; Evelyne Lerut; Maarten Coemans; Ben Sprangers; Dirk Kuypers; Maarten Naesens
Journal:  Am J Transplant       Date:  2020-05-15       Impact factor: 8.086

  10 in total

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