Literature DB >> 32059998

Epitopes as characterized by antibody-verified eplet mismatches determine risk of kidney transplant loss.

Ruth Sapir-Pichhadze1, Xun Zhang2, Abdelhakim Ferradji3, Abeer Madbouly4, Kathryn J Tinckam5, Howard M Gebel6, Daniel Blum7, Marilyn Marrari8, S Joseph Kim9, Stephanie Fingerson4, Pradeep Bashyal4, Héloïse Cardinal10, Bethany J Foster11.   

Abstract

To optimize strategies that mitigate the risk of graft loss associated with HLA incompatibility, we evaluated whether sequence defined HLA targets (eplets) that result in donor-specific antibodies are associated with transplant outcomes. To define this, we fit multivariable Cox proportional hazard models in a cohort of 118 382 United States first kidney transplant recipients to assess risk of death-censored graft failure by increments of ten antibody-verified eplet mismatches. To verify robustness of our findings, we conducted sensitivity analysis in this United States cohort and assessed the role of antibody-verified eplet mismatches as autonomous predictors of transplant glomerulopathy in an independent Canadian cohort. Antibody-verified eplet mismatches were found to be independent predictors of death-censored graft failure with hazard ratios of 1.231 [95% confidence interval 1.195, 1. 268], 1.268 [1.231, 1.305] and 1.411 [1.331, 1.495] for Class I (HLA-A, B, and C), -DRB1 and -DQB1 loci, respectively. To address linkage disequilibrium between HLA-DRB1 and -DQB1, we fit models in a subcohort without HLA-DQB1 eplet mismatches and found hazard ratios for death-censored graft failure of 1.384 [1.293, 1.480] for each additional antibody-verified HLA-DRB1 eplet mismatch. In a subcohort without HLA-DRB1 mismatches, the hazard ratio was 1.384 [1.072, 1.791] for each additional HLA-DQB1 mismatch. In the Canadian cohort, antibody-verified eplet mismatches were independent predictors of transplant glomerulopathy with hazard ratios of 5.511 [1.442, 21.080] for HLA-DRB1 and 3.640 [1.574, 8.416] for -DRB1/3/4/5. Thus, donor-recipient matching for specific HLA eplets appears to be a feasible and clinically justifiable strategy to mitigate risk of graft loss.
Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  eplet; graft failure; immunogenicity; kidney transplantation; transplant glomerulopathy

Mesh:

Substances:

Year:  2019        PMID: 32059998     DOI: 10.1016/j.kint.2019.10.028

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  18 in total

1.  A Systematic Review of Kidney Transplantation Decision Modelling Studies.

Authors:  Mohsen Yaghoubi; Sonya Cressman; Louisa Edwards; Steven Shechter; Mary M Doyle-Waters; Paul Keown; Ruth Sapir-Pichhadze; Stirling Bryan
Journal:  Appl Health Econ Health Policy       Date:  2022-08-09       Impact factor: 3.686

Review 2.  Pediatric Kidney Transplantation-Can We Do Better? The Promise and Limitations of Epitope/Eplet Matching.

Authors:  Olga Charnaya; Daniella Levy Erez; Sandra Amaral; Dimitrios S Monos
Journal:  Front Pediatr       Date:  2022-06-03       Impact factor: 3.569

3.  Combined Analysis of HLA Class II Eplet Mismatch and Tacrolimus Levels for the Prediction of De Novo Donor Specific Antibody Development in Kidney Transplant Recipients.

Authors:  Hyeyoung Lee; Ji Won Min; Hyunhye Kang; Hanbi Lee; Sang Hun Eum; Yohan Park; Chul Woo Yang; Byung Ha Chung; Eun-Jee Oh
Journal:  Int J Mol Sci       Date:  2022-07-01       Impact factor: 6.208

4.  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 5.  Emerging monitoring technologies in kidney transplantation.

Authors:  Abdulla Ehlayel; K'joy J A Simms; Isa F Ashoor
Journal:  Pediatr Nephrol       Date:  2021-02-01       Impact factor: 3.714

6.  High-throughput sequencing defines donor and recipient HLA B-cell epitope frequencies for prospective matching in transplantation.

Authors:  Jenny N Tran; Oliver P Günther; Karen R Sherwood; Franz Fenninger; Lenka L Allan; James Lan; Ruth Sapir-Pichhadze; Rene Duquesnoy; Frans Claas; Steven G E Marsh; W Robert McMaster; Paul A Keown
Journal:  Commun Biol       Date:  2021-05-14

7.  Utilizing nanopore sequencing technology for the rapid and comprehensive characterization of eleven HLA loci; addressing the need for deceased donor expedited HLA typing.

Authors:  Timothy L Mosbruger; Amalia Dinou; Jamie L Duke; Deborah Ferriola; Hilary Mehler; Ioanna Pagkrati; Georgios Damianos; Eric Mbunwe; Mahdi Sarmady; Ioannis Lyratzakis; Sarah A Tishkoff; Anh Dinh; Dimitri S Monos
Journal:  Hum Immunol       Date:  2020-06-25       Impact factor: 2.850

8.  Generation and reactivity analysis of human recombinant monoclonal antibodies directed against epitopes on HLA-DR.

Authors:  Cynthia S M Kramer; Marry E I Franke-van Dijk; Kim H Bakker; Merve Uyar-Mercankaya; Gonca E Karahan; Dave L Roelen; Frans H J Claas; Sebastiaan Heidt
Journal:  Am J Transplant       Date:  2020-05-15       Impact factor: 8.086

9.  On Path to Informing Hierarchy of Eplet Mismatches as Determinants of Kidney Transplant Loss.

Authors:  Hossein Mohammadhassanzadeh; Karim Oualkacha; Wenmin Zhang; William Klement; Amelie Bourdiec; Jennat Lamsatfi; Yang Yi; Bethany Foster; Paul Keown; Howard M Gebel; Frans Claas; Ruth Sapir-Pichhadze
Journal:  Kidney Int Rep       Date:  2021-03-30

10.  Analysis of T and B Cell Epitopes to Predict the Risk of de novo Donor-Specific Antibody (DSA) Production After Kidney Transplantation: A Two-Center Retrospective Cohort Study.

Authors:  Shintaro Sakamoto; Kenta Iwasaki; Toshihide Tomosugi; Matthias Niemann; Eric Spierings; Yuko Miwa; Kosei Horimi; Asami Takeda; Norihiko Goto; Shunji Narumi; Yoshihiko Watarai; Takaaki Kobayashi
Journal:  Front Immunol       Date:  2020-08-27       Impact factor: 7.561

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