Literature DB >> 33193383

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

Dulat Bekbolsynov1, Beata Mierzejewska1, Jadwiga Borucka2, Robert S Liwski3, Anna L Greenshields3, Joshua Breidenbach1, Bradley Gehring1, Shravan Leonard-Murali4, Sadik A Khuder5, Michael Rees1,6,7, Robert C Green8, Stanislaw M Stepkowski1.   

Abstract

We evaluated the impact of human leukocyte antigen (HLA) disparity (immunogenicity; IM) on long-term kidney allograft survival. The IM was quantified based on physicochemical properties of the polymorphic linear donor/recipient HLA amino acids (the Cambridge algorithm) as a hydrophobic, electrostatic, amino acid mismatch scores (HMS\AMS\EMS) or eplet mismatch (EpMM) load. High-resolution HLA-A/B/DRB1/DQB1 types were imputed to calculate HMS for primary/re-transplant recipients of deceased donor transplants. The multiple Cox regression showed the association of HMS with graft survival and other confounders. The HMS integer 0-10 scale showed the most survival benefit between HMS 0 and 3. The Kaplan-Meier analysis showed that: the HMS=0 group had 18.1-year median graft survival, a 5-year benefit over HMS>0 group; HMS ≤ 3.0 had 16.7-year graft survival, a 3.8-year better than HMS>3.0 group; and, HMS ≤ 7.8 had 14.3-year grafts survival, a 1.8-year improvement over HMS>7.8 group. Stratification based on EMS, AMS or EpMM produced similar results. Additionally, the importance of HLA-DR with/without -DQ IM for graft survival was shown. In our simulation of 1,000 random donor/recipient pairs, 75% with HMS>3.0 were re-matched into HMS ≤ 3.0 and the remaining 25% into HMS≥7.8: after re-matching, the 13.5 years graft survival would increase to 16.3 years. This approach matches donors to recipients with low/medium IM donors thus preventing transplants with high IM donors.
Copyright © 2020 Bekbolsynov, Mierzejewska, Borucka, Liwski, Greenshields, Breidenbach, Gehring, Leonard-Murali, Khuder, Rees, Green and Stepkowski.

Entities:  

Keywords:  HLA mismatch; human leukocyte antigen (HLA); immunogenicity; kidney allocation; kidney transplantation; transplant survival

Year:  2020        PMID: 33193383      PMCID: PMC7659444          DOI: 10.3389/fimmu.2020.580752

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


  45 in total

Review 1.  Pitfalls in graft survival analysis.

Authors:  C Unterrainer; B Döhler; C Süsal
Journal:  HLA       Date:  2018-02       Impact factor: 4.513

2.  OPTN/SRTR 2011 Annual Data Report: kidney.

Authors:  A J Matas; J M Smith; M A Skeans; K E Lamb; S K Gustafson; C J Samana; D E Stewart; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2013-01       Impact factor: 8.086

3.  Analysis of factors that affect outcome of primary cadaveric renal transplantation in the UK. HLA Task Force of the Kidney Advisory Group of the United Kingdom Transplant Support Service Authority (UKTSSA)

Authors:  P J Morris; R J Johnson; S V Fuggle; M A Belger; J D Briggs
Journal:  Lancet       Date:  1999-10-02       Impact factor: 79.321

4.  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

5.  The 25th anniversary of the Eurotransplant Acceptable Mismatch program for highly sensitized patients.

Authors:  Sebastiaan Heidt; Marian D Witvliet; Geert W Haasnoot; Frans H J Claas
Journal:  Transpl Immunol       Date:  2015-08-29       Impact factor: 1.708

Review 6.  Humoral theory of transplantation.

Authors:  Paul I Terasaki
Journal:  Am J Transplant       Date:  2003-06       Impact factor: 8.086

7.  Effect of human leukocyte antigen compatibility on kidney graft survival: comparative analysis of two decades.

Authors:  Gerhard Opelz; Bernd Döhler
Journal:  Transplantation       Date:  2007-07-27       Impact factor: 4.939

8.  HLA Matching Trumps Donor Age: Donor-Recipient Pairing Characteristics That Impact Long-Term Success in Living Donor Kidney Transplantation in the Era of Paired Kidney Exchange.

Authors:  John Milner; Marc L Melcher; Brian Lee; Jeff Veale; Matthew Ronin; Tom D'Alessandro; Garet Hil; Phillip C Fry; Patrick W Shannon
Journal:  Transplant Direct       Date:  2016-06-06

9.  Predicting Humoral Alloimmunity from Differences in Donor and Recipient HLA Surface Electrostatic Potential.

Authors:  Dermot H Mallon; Christiane Kling; Matthew Robb; Eva Ellinghaus; J Andrew Bradley; Craig J Taylor; Dieter Kabelitz; Vasilis Kosmoliaptsis
Journal:  J Immunol       Date:  2018-11-14       Impact factor: 5.422

10.  Eplet mismatch analysis and allograft outcome across racially diverse groups in a pediatric transplant cohort: a single-center analysis.

Authors:  Mary Carmelle Philogene; Anita Amin; Sheng Zhou; Olga Charnaya; Renato Vega; Niraj Desai; Alicia M Neu; Cozumel S Pruette
Journal:  Pediatr Nephrol       Date:  2019-10-10       Impact factor: 3.714

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  1 in total

1.  Improving Access to HLA-Matched Kidney Transplants for African American Patients.

Authors:  Dulat Bekbolsynov; Beata Mierzejewska; Sadik Khuder; Obinna Ekwenna; Michael Rees; Robert C Green; Stanislaw M Stepkowski
Journal:  Front Immunol       Date:  2022-03-24       Impact factor: 7.561

  1 in total

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