Association Between HLA-DRB1 Serotype and HLA-DQB1 Allele Mismatches and Acute Rejection in Kidney Transplantation

IF 5.9 4区 医学 Q2 CELL BIOLOGY
HLA Pub Date : 2025-05-22 DOI:10.1111/tan.70228
Renato de Marco, Isau H. Noronha, Luiza Zainotti Miguel Fahur Bottino, Tuila Bittencourt Mourão, Gisele Fabianne Rampim, João Campos, Alberto Cardoso Martins Lima, Lúcio Requião-Moura, Hélio Tedesco-Silva, José Medina Pestana, Maria Gerbase-DeLima
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Abstract

The purpose of this single-center case–control study was to investigate the association between HLA serotype mismatch (MM), compared to other HLA MM modalities, and the occurrence of acute rejection (AR) within the first year after deceased donor kidney transplantation. The study included 198 transplants in 99 pairs of recipients of kidneys from the same donor, where one recipient experienced AR and the other survived the first year without AR. Donors and recipients were typed with NGS for 11 HLA loci at high resolution. HLA MM categories included allele groups, alleles, serotypes, amino acids, EMMA, eplet and PIRCHE-II. Additionally, we investigated Cytomegalovirus LIL peptide (CMV LIL) MM. Recipients with AR presented higher frequencies of pre-transplant HLA-ABDR DSA (20.2% vs. 6.1%, p = 0.005) and CMV LIL MM (24.2% vs. 10.1%, p = 0.01). Univariate and multivariate Cox proportional hazards regression for matched-pair analyses were used to test the association between HLA MM and AR. Univariate analyses indicated significant association with DRB1 ST, HLA-DQB1 AG, HLA-DQB1 AL, EMMA C, EMMA DQB1, Eplet ABC and Eplet DQ MM. Different models were tested in multivariate analyses, all including pre-transplant HLA-ABDR DSA and CMV LIL MM. The models were compared using the Akaike Information Criterion (AIC). The best estimate for AR prediction (AIC = 97.6) was the model that included pre-transplant HLA-ABDR DSA (HR = 11.97; p = 0.003), CMV LIL MM (HR = 367.2; p < 0.001), HLA-DRB1 serotype MM (9.65; p = 0.002) and HLA-DQB1 allele MM (HR = 3.54; p = 0.033). In conclusion, this original report demonstrates an association between the HLA-DRB1 serotype MM and AR, highlighting that serotypes are clinically relevant.

HLA-DRB1血清型和HLA-DQB1等位基因错配与肾移植急性排斥反应的关系
这项单中心病例对照研究的目的是调查HLA血清型错配(MM)与其他HLA MM模式相比,与死亡供者肾移植后一年内急性排斥反应(AR)发生之间的关系。该研究包括来自同一供者的99对肾脏受者的198例移植,其中一个受者经历了AR,另一个受者在没有AR的情况下存活了第一年。供者和受者用NGS对11个HLA位点进行高分辨率分型。HLA MM分型包括等位基因组、等位基因、血清型、氨基酸、EMMA、epet和PIRCHE-II。此外,我们研究了巨细胞病毒LIL肽(CMV LIL) MM。AR受者移植前HLA-ABDR DSA(20.2%比6.1%,p = 0.005)和CMV LIL MM(24.2%比10.1%,p = 0.01)的发生率更高。采用单因素和多因素Cox比例风险回归对配对分析检验HLA MM与AR的相关性,单因素分析显示与DRB1 ST、HLA-DQB1 AG、HLA-DQB1 AL、EMMA C、EMMA DQB1、Eplet ABC和Eplet DQ MM有显著相关性,多因素分析检验了移植前HLA- abdr DSA和CMV LIL MM的不同模型,并采用Akaike信息标准(AIC)对模型进行比较。AR预测的最佳估计(AIC = 97.6)是包含移植前HLA-ABDR DSA的模型(HR = 11.97;p = 0.003), CMV - LIL - MM (HR = 367.2;p < 0.001), HLA-DRB1血清型MM (9.65;p = 0.002)和HLA-DQB1等位基因MM (HR = 3.54;p = 0.033)。总之,这一原始报告表明HLA-DRB1血清型MM和AR之间存在关联,强调血清型与临床相关。
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来源期刊
HLA
HLA Immunology and Microbiology-Immunology
CiteScore
3.00
自引率
28.80%
发文量
368
期刊介绍: HLA, the journal, publishes articles on various aspects of immunogenetics. These include the immunogenetics of cell surface antigens, the ontogeny and phylogeny of the immune system, the immunogenetics of cell interactions, the functional aspects of cell surface molecules and their natural ligands, and the role of tissue antigens in immune reactions. Additionally, the journal covers experimental and clinical transplantation, the relationships between normal tissue antigens and tumor-associated antigens, the genetic control of immune response and disease susceptibility, and the biochemistry and molecular biology of alloantigens and leukocyte differentiation. Manuscripts on molecules expressed on lymphoid cells, myeloid cells, platelets, and non-lineage-restricted antigens are welcomed. Lastly, the journal focuses on the immunogenetics of histocompatibility antigens in both humans and experimental animals, including their tissue distribution, regulation, and expression in normal and malignant cells, as well as the use of antigens as markers for disease.
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