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HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity
Alloimmune risk stratification in renal transplantation has lacked the necessary prognostic biomarkers to personalize recipient care or optimize clinical trials. HLA molecular mismatch improves precision compared to traditional antigen mismatch but has not been studied in detail at the individual mo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563434/ https://www.ncbi.nlm.nih.gov/pubmed/30414349 http://dx.doi.org/10.1111/ajt.15177 |
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author | Wiebe, Chris Kosmoliaptsis, Vasilis Pochinco, Denise Gibson, Ian W. Ho, Julie Birk, Patricia E. Goldberg, Aviva Karpinski, Martin Shaw, Jamie Rush, David N. Nickerson, Peter W. |
author_facet | Wiebe, Chris Kosmoliaptsis, Vasilis Pochinco, Denise Gibson, Ian W. Ho, Julie Birk, Patricia E. Goldberg, Aviva Karpinski, Martin Shaw, Jamie Rush, David N. Nickerson, Peter W. |
author_sort | Wiebe, Chris |
collection | PubMed |
description | Alloimmune risk stratification in renal transplantation has lacked the necessary prognostic biomarkers to personalize recipient care or optimize clinical trials. HLA molecular mismatch improves precision compared to traditional antigen mismatch but has not been studied in detail at the individual molecule level. This study evaluated 664 renal transplant recipients and correlated HLA‐DR/DQ single molecule eplet mismatch with serologic, histologic, and clinical outcomes. Compared to traditional HLA‐DR/DQ whole antigen mismatch, HLA‐DR/DQ single molecule eplet mismatch improved the correlation with de novo donor‐specific antibody development (area under the curve 0.54 vs 0.84) and allowed recipients to be stratified into low, intermediate, and high alloimmune risk categories. These risk categories were significantly correlated with primary alloimmune events including Banff ≥1A T cell–mediated rejection (P = .0006), HLA‐DR/DQ de novo donor‐specific antibody development (P < .0001), antibody‐mediated rejection (P < .0001), as well as all‐cause graft loss (P = .0012) and each of these correlations persisted in multivariate models. Thus, HLA‐DR/DQ single molecule eplet mismatch may represent a precise, reproducible, and widely available prognostic biomarker that can be applied to tailor immunosuppression or design clinical trials based on individual patient risk. |
format | Online Article Text |
id | pubmed-6563434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65634342019-06-17 HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity Wiebe, Chris Kosmoliaptsis, Vasilis Pochinco, Denise Gibson, Ian W. Ho, Julie Birk, Patricia E. Goldberg, Aviva Karpinski, Martin Shaw, Jamie Rush, David N. Nickerson, Peter W. Am J Transplant ORIGINAL ARTICLES Alloimmune risk stratification in renal transplantation has lacked the necessary prognostic biomarkers to personalize recipient care or optimize clinical trials. HLA molecular mismatch improves precision compared to traditional antigen mismatch but has not been studied in detail at the individual molecule level. This study evaluated 664 renal transplant recipients and correlated HLA‐DR/DQ single molecule eplet mismatch with serologic, histologic, and clinical outcomes. Compared to traditional HLA‐DR/DQ whole antigen mismatch, HLA‐DR/DQ single molecule eplet mismatch improved the correlation with de novo donor‐specific antibody development (area under the curve 0.54 vs 0.84) and allowed recipients to be stratified into low, intermediate, and high alloimmune risk categories. These risk categories were significantly correlated with primary alloimmune events including Banff ≥1A T cell–mediated rejection (P = .0006), HLA‐DR/DQ de novo donor‐specific antibody development (P < .0001), antibody‐mediated rejection (P < .0001), as well as all‐cause graft loss (P = .0012) and each of these correlations persisted in multivariate models. Thus, HLA‐DR/DQ single molecule eplet mismatch may represent a precise, reproducible, and widely available prognostic biomarker that can be applied to tailor immunosuppression or design clinical trials based on individual patient risk. John Wiley and Sons Inc. 2018-12-15 2019-06 /pmc/articles/PMC6563434/ /pubmed/30414349 http://dx.doi.org/10.1111/ajt.15177 Text en © 2018 The Authors American Journal of Transplantation published by Wiley Periodicals, Inc. on behalf of The American Society of Transplantation and the American Society of Transplant Surgeons This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | ORIGINAL ARTICLES Wiebe, Chris Kosmoliaptsis, Vasilis Pochinco, Denise Gibson, Ian W. Ho, Julie Birk, Patricia E. Goldberg, Aviva Karpinski, Martin Shaw, Jamie Rush, David N. Nickerson, Peter W. HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title |
HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title_full |
HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title_fullStr |
HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title_full_unstemmed |
HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title_short |
HLA‐DR/DQ molecular mismatch: A prognostic biomarker for primary alloimmunity |
title_sort | hla‐dr/dq molecular mismatch: a prognostic biomarker for primary alloimmunity |
topic | ORIGINAL ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563434/ https://www.ncbi.nlm.nih.gov/pubmed/30414349 http://dx.doi.org/10.1111/ajt.15177 |
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