HLA-EP-RESOLVER: A Novel Web-based Bioinformatic Tool to Determine the Presence or Absence of DSA Against Rare HLA Alleles in the Era of Rapid High-resolution Deceased Donor HLA Genotyping.

IF 5 2区 医学 Q1 IMMUNOLOGY
Transplantation Pub Date : 2025-09-01 Epub Date: 2025-04-21 DOI:10.1097/TP.0000000000005404
Linh Truong, Fredrick Mobegi, Babette Vogels, Dianne De Santis, Jonathan Downing, Lloyd D'Orsogna
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引用次数: 0

Abstract

Background: Patients awaiting a solid organ transplant require pretransplant testing including high-resolution HLA typing and screening of HLA antibodies. However, the standard HLA antibody testing cannot encompass all the HLA alleles available in the Australian donor pool. With the advent of high-resolution HLA typing for organ allocation, there is an increased prevalence of detecting uncommon HLA alleles. It is challenging to manually determine whether patients have donor-specific HLA antibodies against these antigens. To address this issue, a bioinformatic pipeline, HLA-EP-RESOLVER, was developed to assess eplet reactivity for rare HLA unacceptable antigens (UAs).

Methods: The HLA-EP-RESOLVER pipeline was validated against sensitized patients, and a list of candidate UAs was identified for each patient. The candidate UAs must meet the following criteria: (1) match at the first field with existing UAs, (2) share eplets or serological types with the current UAs, (3) do not share the patient's self-eplets or eplets on negative beads, and/or (4) in the exception rules. The Australian deceased donor pool was used as the initial model. The predicted UAs were then confirmed with physical crossmatching.

Results: The pipeline proved to be highly accurate at predicting high-risk antigens by utilizing eplet analysis through HLA Matchmaker, and the HLA data extracted from the Australian donor population. The reactivity of several candidate UAs were confirmed by cellular verification.

Conclusions: The HLA-EP-RESOLVER program was shown to be rapid, useful, and highly accurate in determining acceptable or unacceptable HLA alleles in the new era of rapid high-resolution donor typing before allocation.

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HLA- ep - resolver:在快速高分辨率已故供者HLA基因分型时代,一种新的基于网络的生物信息学工具,用于确定针对罕见HLA等位基因的DSA是否存在。
背景:等待实体器官移植的患者需要进行移植前检测,包括高分辨率HLA分型和HLA抗体筛选。然而,标准的HLA抗体检测不能涵盖澳大利亚供体池中所有可用的HLA等位基因。随着用于器官分配的高分辨率HLA分型的出现,检测不常见HLA等位基因的流行率增加。人工确定患者是否具有针对这些抗原的供体特异性HLA抗体是具有挑战性的。为了解决这个问题,我们开发了一个生物信息学管道,HLA- ep - resolver,来评估罕见的HLA不可接受抗原(UAs)的eplet反应性。方法:在致敏患者中验证HLA-EP-RESOLVER管道,并为每位患者确定候选ua列表。候选UAs必须符合以下标准:(1)在第一个字段与现有UAs匹配,(2)与当前UAs共享eplets或血清学类型,(3)不共享患者自身eplets或阴性珠片eplets,和/或(4)例外规则。澳大利亚的已故捐赠者被用作最初的模型。然后用物理交叉匹配证实了预测的UAs。结果:通过HLA Matchmaker和从澳大利亚供体人群中提取的HLA数据,证明该管道在预测高危抗原方面具有很高的准确性。通过细胞验证证实了几种候选UAs的反应性。结论:在分配前快速高分辨率供体分型的新时代,HLA- ep - resolver程序在确定可接受或不可接受HLA等位基因方面被证明是快速、有用和高度准确的。
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来源期刊
Transplantation
Transplantation 医学-免疫学
CiteScore
8.50
自引率
11.30%
发文量
1906
审稿时长
1 months
期刊介绍: The official journal of The Transplantation Society, and the International Liver Transplantation Society, Transplantation is published monthly and is the most cited and influential journal in the field, with more than 25,000 citations per year. Transplantation has been the trusted source for extensive and timely coverage of the most important advances in transplantation for over 50 years. The Editors and Editorial Board are an international group of research and clinical leaders that includes many pioneers of the field, representing a diverse range of areas of expertise. This capable editorial team provides thoughtful and thorough peer review, and delivers rapid, careful and insightful editorial evaluation of all manuscripts submitted to the journal. Transplantation is committed to rapid review and publication. The journal remains competitive with a time to first decision of fewer than 21 days. Transplantation was the first in the field to offer CME credit to its peer reviewers for reviews completed. The journal publishes original research articles in original clinical science and original basic science. Short reports bring attention to research at the forefront of the field. Other areas covered include cell therapy and islet transplantation, immunobiology and genomics, and xenotransplantation. ​
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