Refining cPRA calculation to improve HLA compatibility assessment in organ transplantation: A detailed picture of the Paris waiting list

IF 5.9 4区 医学 Q2 CELL BIOLOGY HLA Pub Date : 2024-09-09 DOI:10.1111/tan.15675
Cédric Usureau, Romain Lhotte, Valentin Clichet, Alexandre Foroutan, Magali Devriese, Jean-Luc Taupin
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Abstract

The determination of panel reactive antibodies (cPRA) scores plays a critical role in assessing the immunological compatibility between organ transplant recipients and potential donors. Traditional cPRA methods focus on a limited number of HLA loci using physical cytotoxicity tests. However, advancements such as the Luminex single antigen (LSA) assay, which uses mean fluorescence intensity (MFI) of individualised HLA antigens for antibody evaluation, provide a foundation for a more precise assessment. We developed cPRAdictor, a novel cPRA calculation tool using a large series of HLA-type individuals in France with NGS. cPRAdictor was applied to a cohort of 5962 kidney transplant candidates in Paris. We analysed how extending the range of HLA specificities could affect cPRA values. Implementing cPRAdictor revealed and allowed quantification of the significant discrepancies in cPRA values that appeared when HLA loci C and DP, and antigen-specific antibodies were taken into account. Notably, over 43% of the immunised transplant candidates showed an increase in calculated cPRA values when considering C/DP loci and antigen-specific antibodies, negatively impacting their eligibility and prioritisation in the transplantation programme. These findings highlight the necessity of revisiting cPRA calculation methodologies to include a broader spectrum of immunological data, as more exhaustive and precise information regarding anti-HLA antibodies in patients' sera and donor and recipient HLA typing are available prospectively. This will strongly improve both accuracy and equity at the organ allocation step, especially for highly sensitised candidates for whom organ offers are very limited in number.

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完善 cPRA 计算,改进器官移植中的 HLA 相容性评估:巴黎候选名单的详细情况
在评估器官移植受者和潜在供体之间的免疫相容性时,确定面板反应性抗体(cPRA)评分起着至关重要的作用。传统的 cPRA 方法侧重于使用物理细胞毒性测试对有限的几个 HLA 位点进行检测。然而,Luminex 单抗原(LSA)检测法等先进方法利用个体化 HLA 抗原的平均荧光强度(MFI)进行抗体评估,为更精确的评估奠定了基础。我们开发了 cPRAdictor,这是一种新型的 cPRA 计算工具,使用的是法国大量 HLA 型个体的 NGS。我们分析了扩大 HLA 特异性范围对 cPRA 值的影响。使用 cPRAdictor 发现并量化了在考虑 HLA 基因座 C 和 DP 以及抗原特异性抗体时出现的 cPRA 值的显著差异。值得注意的是,在考虑 C/DP 位点和抗原特异性抗体时,超过 43% 的免疫移植候选者的 cPRA 计算值有所增加,这对他们的移植资格和移植计划的优先顺序产生了负面影响。这些发现突出表明,随着患者血清中抗 HLA 抗体以及供体和受体 HLA 分型的信息越来越详尽和精确,有必要重新审视 cPRA 计算方法,以纳入更广泛的免疫学数据。这将极大地提高器官分配步骤的准确性和公平性,尤其是对于高度致敏的候选者而言,因为向他们提供的器官数量非常有限。
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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.
期刊最新文献
HLA-DQA1*05:115, the first DQA1 allele described with an alanine at position 59 of alpha-1 domain Identification of the novel HLA-C*08:291 allele by next-generation sequencing A novel null HLA-B allele, B*40:510N, due to a single nucleotide deletion in exon 2 Characterisation of the novel HLA-DPB1*04:02:24 allele by next-generation sequencing Prof. Alberto Piazza (1941–2024)
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