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使用B细胞和T细胞分子错配评估相结合的方法对肾移植中供体特异性抗HLA抗体进行风险分层

donor-specific anti-HLA antibody risk stratification in kidney transplantation using a combination of B cell and T cell molecular mismatch assessment.

作者信息

Chou-Wu Elaine, Niemann Matthias, Youngs Danny, Gimferrer Idoia

机构信息

Immunogenetics/HLA Laboratory, Bloodworks Northwest, Seattle, WA, United States.

PIRCHE AG, Berlin, Germany.

出版信息

Front Immunol. 2025 Feb 25;16:1508796. doi: 10.3389/fimmu.2025.1508796. eCollection 2025.

DOI:10.3389/fimmu.2025.1508796
PMID:40070832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11893832/
Abstract

INTRODUCTION

The presence of donor-specific antibody (dnDSA) has detrimental effect on allograft outcomes in kidney transplantation. As humoral responses in transplantation are elicited targeting non-self-epitopes on donor HLA proteins, assessing HLA mismatches at the molecular level provides a refined means for immunological risk stratification.

METHODS

In the present study, we utilized three HLA molecular mismatch assessment algorithms, Snow, HLAMatchmaker, and PIRCHE-II, to evaluate the independent and synergistic association of B cell and T cell epitope mismatches with dnDSA development in a cohort of 843 kidney transplant recipients.

RESULTS

Our results demonstrated that B cell and T cell epitope mismatches at HLA Class I and DRB1/DQB1 loci are remarkably increased in dnDSA-positive recipients, even after normalization by allele mismatch numbers in individual study subjects. Furthermore, elevated Snow, verified eplet mismatches, and PIRCHE-II scores are significantly associated with dnDSA occurrence individually and in combination.

CONCLUSION

Our findings highlight the value of utilizing B cell and T cell epitope mismatch evaluation in living donor selection and immunological risk stratification to improve transplant outcomes.

摘要

引言

供体特异性抗体(dnDSA)的存在对肾移植中同种异体移植物的预后有不利影响。由于移植中的体液反应是针对供体HLA蛋白上的非自身表位引发的,在分子水平评估HLA错配为免疫风险分层提供了一种精细的方法。

方法

在本研究中,我们使用了三种HLA分子错配评估算法,即Snow、HLAMatchmaker和PIRCHE-II,来评估843名肾移植受者队列中B细胞和T细胞表位错配与dnDSA发生之间的独立和协同关联。

结果

我们的结果表明,即使在个体研究对象中按等位基因错配数进行标准化后,dnDSA阳性受者中HLA I类和DRB1/DQB1位点的B细胞和T细胞表位错配也显著增加。此外,升高的Snow、验证的表位错配和PIRCHE-II评分分别或联合起来与dnDSA的发生显著相关。

结论

我们的研究结果突出了在活体供体选择和免疫风险分层中利用B细胞和T细胞表位错配评估以改善移植预后的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/154771156c0f/fimmu-16-1508796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/ebc26adfda0e/fimmu-16-1508796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/742dd4ae2665/fimmu-16-1508796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/6e3d086ec704/fimmu-16-1508796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/ba61f9891751/fimmu-16-1508796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/e8cf0ba26853/fimmu-16-1508796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/2d1d65645a11/fimmu-16-1508796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/154771156c0f/fimmu-16-1508796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/ebc26adfda0e/fimmu-16-1508796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/742dd4ae2665/fimmu-16-1508796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/6e3d086ec704/fimmu-16-1508796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/ba61f9891751/fimmu-16-1508796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/e8cf0ba26853/fimmu-16-1508796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/2d1d65645a11/fimmu-16-1508796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c933/11893832/154771156c0f/fimmu-16-1508796-g007.jpg

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本文引用的文献

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Quantifying uncertainty of molecular mismatch introduced by mislabeled ancestry using haplotype-based HLA genotype imputation.使用基于单倍型的HLA基因型推算来量化由错误标注的血统引入的分子错配的不确定性。
Front Genet. 2024 Sep 25;15:1444554. doi: 10.3389/fgene.2024.1444554. eCollection 2024.
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Race, ethnicity, ancestry, and aspects that impact HLA data and matching for transplant.种族、族裔、血统以及影响人类白细胞抗原(HLA)数据和移植配型的因素。
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Snowflake epitope matching correlates with child-specific antibodies during pregnancy and donor-specific antibodies after kidney transplantation.雪片表位匹配与妊娠期间的儿童特异性抗体和肾移植后的供体特异性抗体相关。
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Estimation of Antibody-Verified Eplet Mismatch Load, 2-Field HLA Resolution vs Imputation in a Large Cohort of European Donors.抗体验证的表位错配负荷估计,在一个大型欧洲供者队列中 2 字段 HLA 分辨率与推断比较。
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The number of donor HLA-derived T cell epitopes available for indirect antigen presentation determines the risk for vascular rejection after kidney transplantation.供者 HLA 衍生 T 细胞表位的数量可用于间接抗原呈递,决定了肾移植后血管排斥的风险。
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Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility.雪花:一种基于深度学习的考虑等位基因特异性表面可及性的人类白细胞抗原匹配算法。
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The Accuracy of Sequence-Specific Oligonucleotide and Real-Time Polymerase Chain Reaction HLA Typing in Determining the Presence of Pre-Transplant Donor-Specific Anti-HLA Antibodies and Total Eplet Mismatches for Deceased Donor Kidney Transplantation.序列特异性寡核苷酸和实时聚合酶链反应 HLA 分型在确定移植前供体特异性抗 HLA 抗体和已故供体肾移植的总表位错配存在中的准确性。
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Association of Predicted HLA T-Cell Epitope Targets and T-Cell-Mediated Rejection After Kidney Transplantation.移植肾后预测 HLA 细胞毒性 T 细胞表位靶点与 T 细胞介导排斥反应的关系。
Am J Kidney Dis. 2022 Dec;80(6):718-729.e1. doi: 10.1053/j.ajkd.2022.04.009. Epub 2022 Jun 9.