Literature DB >> 33717167

Can PIRCHE-II Matching Outmatch Traditional HLA Matching?

Christian Unterrainer1, Bernd Döhler1, Matthias Niemann2, Nils Lachmann3, Caner Süsal1.   

Abstract

We analyzed in a cohort of 68,606 first deceased donor kidney transplantations reported to the Collaborative Transplant Study whether an epitope-based matching of donor-recipient pairs using the Predicted Indirectly ReCognizable HLA Epitopes algorithm (PIRCHE-II) is superior to currently applied HLA antigen matching. PIRCHE-II scores were calculated based on split antigen HLA-A, -B, -DRB1 typing and adjusted to the 0-6 range of HLA mismatches. PIRCHE-II scores correlated strongly with the number of HLA mismatches (Spearman ρ = 0.65, P < 0.001). In multivariable analyses both parameters were found to be significant predictors of 5-year death-censored graft loss with high prognostic power [hazard ratio (HR) per adjusted PIRCHE-II score = 1.102, per HLA mismatch = 1.095; z-value PIRCHE-II: 9.8, HLA: 11.2; P < 0.001 for both]. When PIRCHE-II scores and HLA mismatches were analyzed simultaneously, their predictive power decreased but remained significant (PIRCHE-II: P = 0.002; HLA: P < 0.001). Influence of PIRCHE-II was especially strong in presensitized and influence of HLA mismatches in non-sensitized recipients. If the level of HLA-incompatibility was low (0-3 mismatches), PIRCHE-II scores showed a low impact on graft survival (HR = 1.031) and PIRCHE-II matching did not have additional significant benefit (P = 0.10). However, if the level of HLA-incompatibility was high (4-6 mismatches), PIRCHE-II improved the positive impact of matching compared to applying the traditional HLA matching alone (HR = 1.097, P = 0.005). Our results suggest that the PIRCHE-II score is useful and can be included into kidney allocation algorithms in addition to HLA matching; however, at the resolution level of HLA typing that is currently used for allocation it cannot fully replace traditional HLA matching.
Copyright © 2021 Unterrainer, Döhler, Niemann, Lachmann and Süsal.

Entities:  

Keywords:  Collaborative Transplant Study; HLA matching; PIRCHE-II; epitope matching; kidney allocation; presensitization

Year:  2021        PMID: 33717167      PMCID: PMC7952296          DOI: 10.3389/fimmu.2021.631246

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


  23 in total

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Authors:  Caner Süsal; Gerhard Opelz
Journal:  Transplantation       Date:  2002-04-27       Impact factor: 4.939

2.  HLA class I epitopes: recognition of binding sites by mAbs or eluted alloantibody confirmed with single recombinant antigens.

Authors:  Nadim El-Awar; Jar-How Lee; Christine Tarsitani; Paul I Terasaki
Journal:  Hum Immunol       Date:  2006-12-22       Impact factor: 2.850

3.  Donor-Recipient Matching Based on Predicted Indirectly Recognizable HLA Epitopes Independently Predicts the Incidence of De Novo Donor-Specific HLA Antibodies Following Renal Transplantation.

Authors:  N Lachmann; M Niemann; P Reinke; K Budde; D Schmidt; F Halleck; A Pruß; C Schönemann; E Spierings; O Staeck
Journal:  Am J Transplant       Date:  2017-07-28       Impact factor: 8.086

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Authors:  Robert C Williams; Gerhard Opelz; Chelsea J McGarvey; E Jennifer Weil; Harini A Chakkera
Journal:  Transplantation       Date:  2016-05       Impact factor: 4.939

5.  Age at graft loss after pediatric kidney transplantation: exploring the high-risk age window.

Authors:  Kyle J Van Arendonk; Nathan T James; Brian J Boyarsky; Jacqueline M Garonzik-Wang; Babak J Orandi; John C Magee; Jodi M Smith; Paul M Colombani; Dorry L Segev
Journal:  Clin J Am Soc Nephrol       Date:  2013-02-21       Impact factor: 8.237

Review 6.  Matching donor and recipient based on predicted indirectly recognizable human leucocyte antigen epitopes.

Authors:  K Geneugelijk; E Spierings
Journal:  Int J Immunogenet       Date:  2018-02-21       Impact factor: 1.466

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8.  Impact of HLA compatibility on survival of kidney transplants from unrelated live donors.

Authors:  G Opelz
Journal:  Transplantation       Date:  1997-11-27       Impact factor: 4.939

9.  Big Data, Predictive Analytics, and Quality Improvement in Kidney Transplantation: A Proof of Concept.

Authors:  T R Srinivas; D J Taber; Z Su; J Zhang; G Mour; D Northrup; A Tripathi; J E Marsden; W P Moran; P D Mauldin
Journal:  Am J Transplant       Date:  2017-01-04       Impact factor: 8.086

10.  Development and outcomes of de novo donor-specific antibodies in low, moderate, and high immunological risk kidney transplant recipients.

Authors:  Susan S Wan; Steven J Chadban; Narelle Watson; Kate Wyburn
Journal:  Am J Transplant       Date:  2020-01-22       Impact factor: 8.086

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  5 in total

1.  High PIRCHE Scores May Allow Risk Stratification of Borderline Rejection in Kidney Transplant Recipients.

Authors:  Ekaterina Lezoeva; Jakob Nilsson; Rudolf Wüthrich; Thomas F Mueller; Thomas Schachtner
Journal:  Front Immunol       Date:  2022-02-18       Impact factor: 7.561

2.  PIRCHE-II scores prove useful as a predictive biomarker among kidney transplant recipients with rejection: An analysis of indication and follow-up biopsies.

Authors:  Tahm Spitznagel; Laurenz S Matter; Yves L Kaufmann; Jakob Nilsson; Seraina von Moos; Thomas Schachtner
Journal:  Front Immunol       Date:  2022-08-17       Impact factor: 8.786

3.  The number of donor HLA-derived T cell epitopes available for indirect antigen presentation determines the risk for vascular rejection after kidney transplantation.

Authors:  Michiel G H Betjes; Emma T M Peereboom; Henny G Otten; Eric Spierings
Journal:  Front Immunol       Date:  2022-08-30       Impact factor: 8.786

4.  The natural history of de novo donor-specific HLA antibodies after kidney transplantation.

Authors:  Covadonga López Del Moral; Kaiyin Wu; Marcel Naik; Bilgin Osmanodja; Aylin Akifova; Nils Lachmann; Diana Stauch; Sabine Hergovits; Mira Choi; Friederike Bachmann; Fabian Halleck; Eva Schrezenmeier; Danilo Schmidt; Klemens Budde
Journal:  Front Med (Lausanne)       Date:  2022-09-16

5.  Computational Eurotransplant kidney allocation simulations demonstrate the feasibility and benefit of T-cell epitope matching.

Authors:  Matthias Niemann; Nils Lachmann; Kirsten Geneugelijk; Eric Spierings
Journal:  PLoS Comput Biol       Date:  2021-07-27       Impact factor: 4.475

  5 in total

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