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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

We investigated whether HLA class II eplet mismatch was related to dnDSA development and analyzed its combined impact with tacrolimus levels for kidney transplantation outcomes. A total of 347 kidney transplants were included. HLA Matchmaker was used for the single molecular eplet, total eplet, anti...

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Autores principales: Lee, Hyeyoung, Min, Ji Won, Kang, Hyunhye, Lee, Hanbi, Eum, Sang Hun, Park, Yohan, Yang, Chul Woo, Chung, Byung Ha, Oh, Eun-Jee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267119/
https://www.ncbi.nlm.nih.gov/pubmed/35806362
http://dx.doi.org/10.3390/ijms23137357
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author Lee, Hyeyoung
Min, Ji Won
Kang, Hyunhye
Lee, Hanbi
Eum, Sang Hun
Park, Yohan
Yang, Chul Woo
Chung, Byung Ha
Oh, Eun-Jee
author_facet Lee, Hyeyoung
Min, Ji Won
Kang, Hyunhye
Lee, Hanbi
Eum, Sang Hun
Park, Yohan
Yang, Chul Woo
Chung, Byung Ha
Oh, Eun-Jee
author_sort Lee, Hyeyoung
collection PubMed
description We investigated whether HLA class II eplet mismatch was related to dnDSA development and analyzed its combined impact with tacrolimus levels for kidney transplantation outcomes. A total of 347 kidney transplants were included. HLA Matchmaker was used for the single molecular eplet, total eplet, antibody (Ab)-verified eplet mismatch analyses, and Ab-verified single molecular analysis to identify HLA-DR/DQ molecular thresholds for the risk of dnDSA development. A time-weighted tacrolimus trough level (TAC-C0) of 5 ng/mL and a TAC-C0 time-weighted coefficient variability (TWCV) of 20% were applied to find the combined effects on dnDSA development. A high level of mismatch for single molecular eplet (DQ ≥ 10), total eplet (DQ ≥ 12), Ab-verified eplet (DQ ≥ 4), and Ab-verified single molecular eplet (DQ ≥ 4) significantly correlated with HLA class II dnDSA development. Class II dnDSA developed mostly in patients with low TAC-C0 and high eplet mismatch. In the multivariable analyses, low TAC-C0 and high eplet mismatch showed the highest hazard ratio for the development of dnDSA. No significant combined effect was observed in dnDSA development according to TWCV. In conclusion, the determination of HLA class II eplet mismatch may improve the risk stratification for dnDSA development, especially in conjunction with tacrolimus trough levels.
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spelling pubmed-92671192022-07-09 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 Lee, Hyeyoung Min, Ji Won Kang, Hyunhye Lee, Hanbi Eum, Sang Hun Park, Yohan Yang, Chul Woo Chung, Byung Ha Oh, Eun-Jee Int J Mol Sci Article We investigated whether HLA class II eplet mismatch was related to dnDSA development and analyzed its combined impact with tacrolimus levels for kidney transplantation outcomes. A total of 347 kidney transplants were included. HLA Matchmaker was used for the single molecular eplet, total eplet, antibody (Ab)-verified eplet mismatch analyses, and Ab-verified single molecular analysis to identify HLA-DR/DQ molecular thresholds for the risk of dnDSA development. A time-weighted tacrolimus trough level (TAC-C0) of 5 ng/mL and a TAC-C0 time-weighted coefficient variability (TWCV) of 20% were applied to find the combined effects on dnDSA development. A high level of mismatch for single molecular eplet (DQ ≥ 10), total eplet (DQ ≥ 12), Ab-verified eplet (DQ ≥ 4), and Ab-verified single molecular eplet (DQ ≥ 4) significantly correlated with HLA class II dnDSA development. Class II dnDSA developed mostly in patients with low TAC-C0 and high eplet mismatch. In the multivariable analyses, low TAC-C0 and high eplet mismatch showed the highest hazard ratio for the development of dnDSA. No significant combined effect was observed in dnDSA development according to TWCV. In conclusion, the determination of HLA class II eplet mismatch may improve the risk stratification for dnDSA development, especially in conjunction with tacrolimus trough levels. MDPI 2022-07-01 /pmc/articles/PMC9267119/ /pubmed/35806362 http://dx.doi.org/10.3390/ijms23137357 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Hyeyoung
Min, Ji Won
Kang, Hyunhye
Lee, Hanbi
Eum, Sang Hun
Park, Yohan
Yang, Chul Woo
Chung, Byung Ha
Oh, Eun-Jee
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267119/
https://www.ncbi.nlm.nih.gov/pubmed/35806362
http://dx.doi.org/10.3390/ijms23137357
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