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一种将 HLA 等位基因系统分类为血清特异性的新策略。

A new strategy for systematically classifying HLA alleles into serological specificities.

机构信息

Histocompatibility and Immunogenetics Laboratory, Stanford Blood Center, Palo Alto, California, USA.

Anthony Nolan Research Institute & UCL Cancer Institute, Royal Free Campus, London, UK.

出版信息

HLA. 2022 Sep;100(3):193-231. doi: 10.1111/tan.14662. Epub 2022 Jun 22.

DOI:10.1111/tan.14662
PMID:35538616
Abstract

HLA serological specificities were defined by the reactivity of HLA molecules with sets of sera and monoclonal antibodies. Many recently identified alleles defined by molecular typing lack their serotype assignment. We surveyed the literature describing the correlation of the reactivity of serologic reagents with AA residues. 20 - 25 AA residues determining epitopes (DEP) that correlated with 82 WHO serologic specificities were identified for HLA class I loci. Thirteen DEP each located in the beta-1 domains that correlated with 24 WHO serologic specificities were identified for HLA-DRB1 and -DQB1 loci. The designation of possible HLA-DPB1, -DQA1, -DPA1, and additional serological specificities that result from epitopes defined by residues located at both -DQA1 and -DQB1 subunits were also examined. HATS software was developed for automated serotype assignments to HLA alleles in one of the three hierarchical matching criteria: (1) all DEP (FULL); (2) selected DEP specific to each serological specificity (SEROTYPE); (3) one AA mismatch with one or more SEROTYPES (INCOMPLETE). Results were validated by evaluating the alleles whose serotypes do not correspond to the first field of the allele name listed in the HLA dictionary. Additional 85 and 21 DEP patterns that do not correspond to any WHO serologic specificities for common HLA class I and DRB1 alleles were identified, respectively. A comprehensive antibody identification panel would allow for accurate unacceptable antigen listing and compatibility predictions in solid organ transplantation. We propose that antibody-screening panels should include all serologic specificities identified in this study.

摘要

HLA 血清学特异性是通过 HLA 分子与一系列血清和单克隆抗体的反应性来定义的。许多最近通过分子分型定义的等位基因缺乏其血清型分配。我们调查了描述血清学试剂与 AA 残基反应性相关性的文献。在 HLA Ⅰ类基因座中,确定了与 82 个世界卫生组织血清学特异性相关的 20-25 个决定表位(DEP)的 AA 残基。在 HLA-DRB1 和-DQB1 基因座中,确定了与 24 个世界卫生组织血清学特异性相关的 13 个分别位于β-1 结构域的 DEP。还检查了可能的 HLA-DPB1、-DQA1、-DPA1 和其他由于位于-DQA1 和-DQB1 亚基的残基定义的表位而产生的血清学特异性的指定。HATS 软件是为在三个层次匹配标准之一中自动分配 HLA 等位基因的血清型而开发的:(1)所有 DEP(FULL);(2)针对每个血清学特异性的特定 DEP(SEROTYPE);(3)与一个或多个 SEROTYPES 有一个 AA 错配(INCOMPLETE)。通过评估与 HLA 字典中列出的等位基因名称的第一个字段不对应的等位基因的结果来验证结果。分别为常见 HLA Ⅰ类和 DRB1 等位基因确定了另外 85 个和 21 个与任何世界卫生组织血清学特异性都不对应的 DEP 模式。一个全面的抗体识别面板将允许在实体器官移植中准确地列出不可接受的抗原和相容性预测。我们建议抗体筛选面板应包括本研究中确定的所有血清学特异性。

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