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在健康供体中鉴定 BK 多瘤病毒蛋白的候选免疫优势表位及其与 HLA-B 结合的预测。

Identification of Candidate Immunodominant Epitopes and Their HLA-Binding Prediction on BK Polyomavirus Proteins in Healthy Donors.

机构信息

Advanced & Cell Therapy Services, Banc de Sang i Teixits (Blood and Tissue Bank, BST), Barcelona, Spain.

Transfusional Medicine Group, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain.

出版信息

HLA. 2024 Oct;104(4):e15722. doi: 10.1111/tan.15722.

DOI:10.1111/tan.15722
PMID:39435889
Abstract

BK polyomavirus infection is an important cause of graft loss in transplant patients, however, currently available therapies lack effectiveness against this pathogen. Identification of immunological targets for potential treatments is therefore necessary. The aim of this study was to predict candidates of immunodominant epitopes within four BK virus proteins (VP1, VP2, VP3 and LTA) using PBMCs from 44 healthy donors. We used the ELISpot epitope mapping method to evaluate the T-cell response, and HLA-peptide binding was predicted using the NetMHCpan algorithm. A total of 11 potential peptides were selected for VP1, 3 for VP2/VP3 and 13 for LTA. Greater reactivity was observed for VP1 and LTA proteins compared with VP2/VP3. Most of the peptides selected as potential immunodominant candidates were restricted towards several HLA class I and II alleles, with predominant HLA class I binding by computational predictions. Based on these findings, the sequences of the selected immunodominant epitopes candidates and their corresponding HLA restrictions could contribute to the optimisation of functional assays and aid in the design and improvement of immunotherapy strategies against BK virus infections.

摘要

BK 多瘤病毒感染是移植患者移植物丢失的重要原因,然而,目前可用的治疗方法对这种病原体缺乏有效性。因此,有必要确定潜在治疗方法的免疫靶标。本研究旨在使用 44 名健康供体的 PBMC,通过 ELISpot 表位作图方法来预测 4 种 BK 病毒蛋白(VP1、VP2、VP3 和 LTA)中的免疫优势表位候选物。我们使用 ELISpot 表位作图方法来评估 T 细胞反应,使用 NetMHCpan 算法预测 HLA-肽结合。总共选择了 11 个 VP1 蛋白的潜在肽,3 个 VP2/VP3 蛋白的潜在肽和 13 个 LTA 蛋白的潜在肽。与 VP2/VP3 相比,VP1 和 LTA 蛋白表现出更强的反应性。所选潜在免疫优势候选物的大多数肽受到几种 HLA Ⅰ类和Ⅱ类等位基因的限制,计算预测表明主要与 HLA Ⅰ类结合。基于这些发现,所选免疫优势表位候选物的序列及其相应的 HLA 限制可有助于优化功能测定,并有助于设计和改进针对 BK 病毒感染的免疫治疗策略。

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引用本文的文献

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Utility of the ELISpot Test to Predict the Risk of Developing BK Polyomavirus Nephropathy in Kidney Recipients, a Multicenter Study.ELISpot检测在预测肾移植受者发生BK多瘤病毒肾病风险中的应用:一项多中心研究
Vaccines (Basel). 2025 Jul 28;13(8):796. doi: 10.3390/vaccines13080796.
2
BK Virus-Specific T Cell Response Associated with HLA Genotypes, RhD Status, and CMV or EBV Serostatus in Healthy Donors for Optimized Cell Therapy.BK病毒特异性T细胞应答与健康供体的HLA基因型、RhD状态以及巨细胞病毒或EB病毒血清学状态的关联,用于优化细胞治疗
J Clin Immunol. 2025 Jun 19;45(1):109. doi: 10.1007/s10875-025-01901-2.
3
Donor HLA-DQ genetic and functional divergence affect the control of BK polyoma virus infection after kidney transplantation.
供体HLA-DQ基因和功能差异影响肾移植后BK多瘤病毒感染的控制。
Sci Adv. 2025 Mar 7;11(10):eadt3499. doi: 10.1126/sciadv.adt3499. Epub 2025 Mar 5.