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Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation
INTRODUCTION: Rejection remains the main cause of allograft failure in paediatric kidney transplantation and is driven by donor-recipient HLA mismatching. Modern computational algorithms enable assessment of HLA mismatch immunogenicity at the molecular level (molecular-mismatch, molMM). Whilst molMM...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080391/ https://www.ncbi.nlm.nih.gov/pubmed/37033962 http://dx.doi.org/10.3389/fimmu.2023.1092335 |
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author | Kim, Jon Jin Fichtner, Alexander Copley, Hannah C. Gragert, Loren Süsal, Caner Dello Strologo, Luca Oh, Jun Pape, Lars Weber, Lutz T. Weitz, Marcus König, Jens Krupka, Kai Tönshoff, Burkhard Kosmoliaptsis, Vasilis |
author_facet | Kim, Jon Jin Fichtner, Alexander Copley, Hannah C. Gragert, Loren Süsal, Caner Dello Strologo, Luca Oh, Jun Pape, Lars Weber, Lutz T. Weitz, Marcus König, Jens Krupka, Kai Tönshoff, Burkhard Kosmoliaptsis, Vasilis |
author_sort | Kim, Jon Jin |
collection | PubMed |
description | INTRODUCTION: Rejection remains the main cause of allograft failure in paediatric kidney transplantation and is driven by donor-recipient HLA mismatching. Modern computational algorithms enable assessment of HLA mismatch immunogenicity at the molecular level (molecular-mismatch, molMM). Whilst molMM has been shown to correlate with alloimmune outcomes, evidence demonstrating improved prediction performance against traditional antigen mismatching (antMM) is lacking. METHODS: We analysed 177 patients from the CERTAIN registry (median follow-up 4.5 years). molMM scores included Amino-Acid-Mismatch-Score (AAMS), Electrostatic-Mismatch-Score (EMS3D) and netMHCIIpan (netMHC1k: peptide binding affinity ≤1000 nM; netMHC: binding affinity ≤500 nM plus rank <2%). We stratified patients into high/low-risk groups based on risk models of DSA development. RESULTS: Donor-specific HLA antibodies (DSA) predominantly targeted the highest scoring molMM donor antigen within each HLA locus. MolMM scores offered superior discrimination versus antMM in predicting de novo DSA for all HLA loci; the EMS3D algorithm had particularly consistent performance (area under the receiver operating characteristic curve (AUC) >0.7 for all HLA loci vs. 0.52-0.70 for antMM). ABMR (but not TCMR) was associated with HLA-DQ molMM scores (AAMS, EMS3D and netMHC). Patients with high-risk HLA-DQ molMM had increased risk of graft function deterioration (50% reduction in baseline eGFR (eGFR50), adjusted HR: 3.5, 95% CI 1.6-8.2 high vs. low EMS3D). Multivariable modelling of the eGFR50 outcome using EMS3D HLA-DQ stratification showed better discrimination (AUC EMS3D vs. antMM at 2 years: 0.81 vs. 0.77, at 4.5 years: 0.72 vs. 0.64) and stratified more patients into the low-risk group, compared to traditional antMM. CONCLUSION: Molecular mismatching was superior to antigen mismatching in predicting humoral alloimmunity. Molecular HLA-DQ mismatching appears to be a significant prognostic factor for graft function deterioration in paediatric kidney transplantation. |
format | Online Article Text |
id | pubmed-10080391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100803912023-04-08 Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation Kim, Jon Jin Fichtner, Alexander Copley, Hannah C. Gragert, Loren Süsal, Caner Dello Strologo, Luca Oh, Jun Pape, Lars Weber, Lutz T. Weitz, Marcus König, Jens Krupka, Kai Tönshoff, Burkhard Kosmoliaptsis, Vasilis Front Immunol Immunology INTRODUCTION: Rejection remains the main cause of allograft failure in paediatric kidney transplantation and is driven by donor-recipient HLA mismatching. Modern computational algorithms enable assessment of HLA mismatch immunogenicity at the molecular level (molecular-mismatch, molMM). Whilst molMM has been shown to correlate with alloimmune outcomes, evidence demonstrating improved prediction performance against traditional antigen mismatching (antMM) is lacking. METHODS: We analysed 177 patients from the CERTAIN registry (median follow-up 4.5 years). molMM scores included Amino-Acid-Mismatch-Score (AAMS), Electrostatic-Mismatch-Score (EMS3D) and netMHCIIpan (netMHC1k: peptide binding affinity ≤1000 nM; netMHC: binding affinity ≤500 nM plus rank <2%). We stratified patients into high/low-risk groups based on risk models of DSA development. RESULTS: Donor-specific HLA antibodies (DSA) predominantly targeted the highest scoring molMM donor antigen within each HLA locus. MolMM scores offered superior discrimination versus antMM in predicting de novo DSA for all HLA loci; the EMS3D algorithm had particularly consistent performance (area under the receiver operating characteristic curve (AUC) >0.7 for all HLA loci vs. 0.52-0.70 for antMM). ABMR (but not TCMR) was associated with HLA-DQ molMM scores (AAMS, EMS3D and netMHC). Patients with high-risk HLA-DQ molMM had increased risk of graft function deterioration (50% reduction in baseline eGFR (eGFR50), adjusted HR: 3.5, 95% CI 1.6-8.2 high vs. low EMS3D). Multivariable modelling of the eGFR50 outcome using EMS3D HLA-DQ stratification showed better discrimination (AUC EMS3D vs. antMM at 2 years: 0.81 vs. 0.77, at 4.5 years: 0.72 vs. 0.64) and stratified more patients into the low-risk group, compared to traditional antMM. CONCLUSION: Molecular mismatching was superior to antigen mismatching in predicting humoral alloimmunity. Molecular HLA-DQ mismatching appears to be a significant prognostic factor for graft function deterioration in paediatric kidney transplantation. Frontiers Media S.A. 2023-03-15 /pmc/articles/PMC10080391/ /pubmed/37033962 http://dx.doi.org/10.3389/fimmu.2023.1092335 Text en Copyright © 2023 Kim, Fichtner, Copley, Gragert, Süsal, Dello Strologo, Oh, Pape, Weber, Weitz, König, Krupka, Tönshoff and Kosmoliaptsis https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Kim, Jon Jin Fichtner, Alexander Copley, Hannah C. Gragert, Loren Süsal, Caner Dello Strologo, Luca Oh, Jun Pape, Lars Weber, Lutz T. Weitz, Marcus König, Jens Krupka, Kai Tönshoff, Burkhard Kosmoliaptsis, Vasilis Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title | Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title_full | Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title_fullStr | Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title_full_unstemmed | Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title_short | Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
title_sort | molecular hla mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080391/ https://www.ncbi.nlm.nih.gov/pubmed/37033962 http://dx.doi.org/10.3389/fimmu.2023.1092335 |
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