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Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation

The biological processes underlying NK cell alloreactivity in haematopoietic stem cell transplantation (HSCT) remain unclear. Many different models to predict NK alloreactivity through KIR and MHC genotyping exist, raising ambiguities in its utility and application for clinicians. We assessed 27 pre...

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Autores principales: Dhuyser, Adèle, Remen, Thomas, Pérès, Michaël, Chamberlain-Evans, Vitalina, Nemat-Gorgani, Neda, Campidelli, Arnaud, Clément, Sandra, Rubio, Marie Thérèse, Trowsdale, John, Aarnink, Alice, Traherne, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017772/
https://www.ncbi.nlm.nih.gov/pubmed/36936953
http://dx.doi.org/10.3389/fimmu.2023.1028162
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author Dhuyser, Adèle
Remen, Thomas
Pérès, Michaël
Chamberlain-Evans, Vitalina
Nemat-Gorgani, Neda
Campidelli, Arnaud
Clément, Sandra
Rubio, Marie Thérèse
Trowsdale, John
Aarnink, Alice
Traherne, James
author_facet Dhuyser, Adèle
Remen, Thomas
Pérès, Michaël
Chamberlain-Evans, Vitalina
Nemat-Gorgani, Neda
Campidelli, Arnaud
Clément, Sandra
Rubio, Marie Thérèse
Trowsdale, John
Aarnink, Alice
Traherne, James
author_sort Dhuyser, Adèle
collection PubMed
description The biological processes underlying NK cell alloreactivity in haematopoietic stem cell transplantation (HSCT) remain unclear. Many different models to predict NK alloreactivity through KIR and MHC genotyping exist, raising ambiguities in its utility and application for clinicians. We assessed 27 predictive models, broadly divided into six categories of alloreactivity prediction: ligand-ligand, receptor-ligand, educational, KIR haplotype-based, KIR matching and KIR allelic polymorphism. The models were applied to 78 NGS-typed donor/recipient pairs undergoing allogeneic HSCT in genoidentical (n=43) or haploidentical (n=35) matchings. Correlations between different predictive models differed widely, suggesting that the choice of the model in predicting NK alloreactivity matters. For example, two broadly used models, educational and receptor-ligand, led to opposing predictions especially in the genoidentical cohort. Correlations also depended on the matching fashion, suggesting that this parameter should also be taken into account in the choice of the scoring strategy. The number of centromeric B-motifs was the only model strongly correlated with the incidence of acute graft-versus-host disease in our set of patients in both the genoidentical and the haploidentical cohorts, suggesting that KIR-based alloreactivity, not MHC mismatches, are responsible for it. To our best knowledge, this paper is the first to experimentally compare NK alloreactivity prediction models within a cohort of genoidentical and haploidentical donor-recipient pairs. This study helps to resolve current discrepancies in KIR-based alloreactivity predictions and highlights the need for deeper consideration of the models used in clinical studies as well as in medical practice.
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spelling pubmed-100177722023-03-17 Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation Dhuyser, Adèle Remen, Thomas Pérès, Michaël Chamberlain-Evans, Vitalina Nemat-Gorgani, Neda Campidelli, Arnaud Clément, Sandra Rubio, Marie Thérèse Trowsdale, John Aarnink, Alice Traherne, James Front Immunol Immunology The biological processes underlying NK cell alloreactivity in haematopoietic stem cell transplantation (HSCT) remain unclear. Many different models to predict NK alloreactivity through KIR and MHC genotyping exist, raising ambiguities in its utility and application for clinicians. We assessed 27 predictive models, broadly divided into six categories of alloreactivity prediction: ligand-ligand, receptor-ligand, educational, KIR haplotype-based, KIR matching and KIR allelic polymorphism. The models were applied to 78 NGS-typed donor/recipient pairs undergoing allogeneic HSCT in genoidentical (n=43) or haploidentical (n=35) matchings. Correlations between different predictive models differed widely, suggesting that the choice of the model in predicting NK alloreactivity matters. For example, two broadly used models, educational and receptor-ligand, led to opposing predictions especially in the genoidentical cohort. Correlations also depended on the matching fashion, suggesting that this parameter should also be taken into account in the choice of the scoring strategy. The number of centromeric B-motifs was the only model strongly correlated with the incidence of acute graft-versus-host disease in our set of patients in both the genoidentical and the haploidentical cohorts, suggesting that KIR-based alloreactivity, not MHC mismatches, are responsible for it. To our best knowledge, this paper is the first to experimentally compare NK alloreactivity prediction models within a cohort of genoidentical and haploidentical donor-recipient pairs. This study helps to resolve current discrepancies in KIR-based alloreactivity predictions and highlights the need for deeper consideration of the models used in clinical studies as well as in medical practice. Frontiers Media S.A. 2023-03-02 /pmc/articles/PMC10017772/ /pubmed/36936953 http://dx.doi.org/10.3389/fimmu.2023.1028162 Text en Copyright © 2023 Dhuyser, Remen, Pérès, Chamberlain-Evans, Nemat-Gorgani, Campidelli, Clément, Rubio, Trowsdale, Aarnink and Traherne 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
Dhuyser, Adèle
Remen, Thomas
Pérès, Michaël
Chamberlain-Evans, Vitalina
Nemat-Gorgani, Neda
Campidelli, Arnaud
Clément, Sandra
Rubio, Marie Thérèse
Trowsdale, John
Aarnink, Alice
Traherne, James
Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title_full Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title_fullStr Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title_full_unstemmed Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title_short Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation
title_sort comparison of nk alloreactivity prediction models based on kir-mhc interactions in haematopoietic stem cell transplantation
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017772/
https://www.ncbi.nlm.nih.gov/pubmed/36936953
http://dx.doi.org/10.3389/fimmu.2023.1028162
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