HLA最新文献

{"title":"HLA-Typing of Donor-Origin Cells Enriched From Urine Cell Culture of Kidney Transplanted Recipients","authors":"Desmond Y. H. Yap,&nbsp;Patrick Chu,&nbsp;Kitty Lau,&nbsp;Jenny Ho,&nbsp;Stephen Cheung,&nbsp;Lydia Tang,&nbsp;Charlie Ho,&nbsp;Tak Mao Chan,&nbsp;Janette Kwok","doi":"10.1111/tan.70253","DOIUrl":"https://doi.org/10.1111/tan.70253","url":null,"abstract":"<div>\u0000 \u0000 <p>The incomplete or lack of histocompatibility information constitutes a barrier for the early detection and management of de novo donor-specific antibodies (DSA). To improve the quantity and quality of DNA materials for HLA typing, we developed a non-invasive culture-based method, using DNA extracted from enriched donor-derived kidney stem cells (DKSC) selectively cultured from the urine of kidney transplant receipients (KTR) to allow high-resolution typing by next-generation sequencing. This prospective proof-of-concept study evaluated the feasibility and performance of this approach. DKSC were enriched from the urine of 60 KTRs. DNA extracted from culture-enriched DKSC showed significantly higher concentration and better quality than unbound cells, and with identical short tandem repeat (STR) and 100% concordance compared to that obtained from peripheral blood. Our results suggest that cultured-enriched DKSC are non-invasive and useful for determining HLA and other genes for KTRs where donor information is limited or lacking.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomic Full-Length Sequence of the HLA-DRB1*14:84 Allele, Identified by PacBio Sequencing","authors":"Yu-Li Zhu,&nbsp;Ying-Chun Wang,&nbsp;Zhi-Hui Feng,&nbsp;Shu-Xian Jiao,&nbsp;Shu-Tao Pang","doi":"10.1111/tan.70266","DOIUrl":"https://doi.org/10.1111/tan.70266","url":null,"abstract":"<div>\u0000 \u0000 <p>The genomic full-length sequence of the <i>HLA-DRB1*14:84</i> allele was identified using a PacBio sequencing approach from China.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterisation of the Novel HLA-A*24:642 Allele Using New Next-Generation Sequencing Methods","authors":"Xin Li,&nbsp;Bin Xi,&nbsp;Zechang Shi,&nbsp;Jianing Yuan,&nbsp;Mingrui Huo","doi":"10.1111/tan.70239","DOIUrl":"https://doi.org/10.1111/tan.70239","url":null,"abstract":"<div>\u0000 \u0000 <p>HLA-A*24:642 differs from HLA-A*24:02:01:01 by a single nucleotide substitution at position 76 T&gt;C in exon 2.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterisation of the Novel HLA-DPB1*29:01:02 Allele Using New Next-Generation Sequencing Methods","authors":"Maxime Raz,&nbsp;Patrice Dunoyer,&nbsp;Coralie Frassati,&nbsp;Jessica Marshall,&nbsp;Pascal Pedini","doi":"10.1111/tan.70272","DOIUrl":"https://doi.org/10.1111/tan.70272","url":null,"abstract":"<div>\u0000 \u0000 <p><i>HLA-DPB1*29:01:02</i> differs from <i>HLA-DPB1*29:01:01</i> by a single synonymous substitution in exon 2.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “The Novel HLA-DRB1 Allele, HLA-DRB1*09:54 Was Identified in a Chinese Individual”","authors":"","doi":"10.1111/tan.70267","DOIUrl":"https://doi.org/10.1111/tan.70267","url":null,"abstract":"<p>S. Zhao, C. Chen, F. Wang, W. Zhang, and F. Zhu, “The Novel HLA-DRB1 Allele, <i>HLA-DRB1*09:54</i> Was Identified in a Chinese Individual,” <i>HLA</i> 104, no. 1 (2024): e15596, https://doi.org/10.1111/tan.15596.</p><p>In the article, third paragraph, the accession number for HLA-DRB1*09:54 was incorrect, and it should be changed from OP459300 to OR101191.</p><p>The incorrect sentence reads:</p><p>The accession number OP459300 was assigned in the GenBank nucleotide sequence database for the nucleotide sequence of the <i>HLA-DRB1*09:54</i> allele.</p><p>The correct sentence should read:</p><p>The accession number OR101191 was assigned in the GenBank nucleotide sequence database for the nucleotide sequence of the <i>HLA-DRB1*09:54</i> allele.</p><p>We apologize for this error.</p>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 6","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/tan.70267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterisation of the Novel HLA-DQB1*05:357 Allele by Sequencing-Based Typing","authors":"Vincent Elsermans,&nbsp;Jonathan Visentin,&nbsp;Thibault Pajot,&nbsp;Isabelle Top,&nbsp;Myriam Labalette","doi":"10.1111/tan.70269","DOIUrl":"https://doi.org/10.1111/tan.70269","url":null,"abstract":"<div>\u0000 \u0000 <p><i>HLA-DQB1*05:357</i> differs from <i>HLA-DQB1*05:03:01:01</i> by one nucleotide substitution in codon 6 in exon 2.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 5","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First Identification of the MHC-DPA1 Alleles in Tibetan Macaques (Macaca thibetana)","authors":"S. K. Min,&nbsp;X. S. Zhang,&nbsp;H. Chen","doi":"10.1111/tan.70198","DOIUrl":"https://doi.org/10.1111/tan.70198","url":null,"abstract":"<div>\u0000 \u0000 <p>Ten novel MHC-DPA1 alleles were identified in Tibetan macaques (<i>Macaca thibetana</i>).</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 5","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between HLA-DRB1 Serotype and HLA-DQB1 Allele Mismatches and Acute Rejection in Kidney Transplantation","authors":"Renato de Marco,&nbsp;Isau H. Noronha,&nbsp;Luiza Zainotti Miguel Fahur Bottino,&nbsp;Tuila Bittencourt Mourão,&nbsp;Gisele Fabianne Rampim,&nbsp;João Campos,&nbsp;Alberto Cardoso Martins Lima,&nbsp;Lúcio Requião-Moura,&nbsp;Hélio Tedesco-Silva,&nbsp;José Medina Pestana,&nbsp;Maria Gerbase-DeLima","doi":"10.1111/tan.70228","DOIUrl":"https://doi.org/10.1111/tan.70228","url":null,"abstract":"<p>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%, <i>p</i> = 0.005) and CMV LIL MM (24.2% vs. 10.1%, <i>p</i> = 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; <i>p</i> = 0.003), CMV LIL MM (HR = 367.2; <i>p</i> &lt; 0.001), HLA-DRB1 serotype MM (9.65; <i>p</i> = 0.002) and HLA-DQB1 allele MM (HR = 3.54; <i>p</i> = 0.033). In conclusion, this original report demonstrates an association between the HLA-DRB1 serotype MM and AR, highlighting that serotypes are clinically relevant.</p>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 5","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/tan.70228","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides","authors":"Xiaorui Cheng,&nbsp;Hu Mei,&nbsp;Pengji Chen,&nbsp;Haixia Wu,&nbsp;Rui Liu,&nbsp;Yuanyuan Lei,&nbsp;Pingqing Wang","doi":"10.1111/tan.70263","DOIUrl":"https://doi.org/10.1111/tan.70263","url":null,"abstract":"<div>\u0000 \u0000 <p>The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune responses and human adaptive cell immune. Thus, the prediction of HLA class I-peptide binding affinities is always the core issue for the research of immune recognition and vaccine development. In this study, an evolutionary scale model (ESM) combined with parallel CNN blocks and a cross attention mechanism was used to construct a novel ESMpHLA model for predicting HLA class I binding peptides. Based on the 91,560 binding peptides of 41 HLA-A alleles, 56,731 of 50 HLA-B alleles and 2444 of 10 HLA-C alleles, the ESMpHLA model was successfully established and achieved satisfying prediction performances with the overall accuracy and AUC values of 0.874 and 0.938 for the test dataset. The results indicate that the ESMpHLA model performs well in dealing with different HLA class I 2-field alleles as well as the peptides with different lengths. Then, the generalisation ability of the ESMpHLA model was validated by an independent test dataset compiled from recent IEDB weekly benchmark datasets. The results showed that the ESMpHLA model achieved the highest ROC-AUC and PR-AUC values when compared with the latest BVMHC, CapsNet-MHC, STMHCpan and BVLSTM models. In addition, two ensemble models were also established by integrating the above 5 deep learning models using soft-voting and hard-voting strategies.</p>\u0000 </div>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 5","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Registry of Unmet Need: A World Marrow Donor Association Analysis of Patients Without an HLA Match","authors":"Martin Maiers,&nbsp;Valerie Greco-Stewart,&nbsp;Abeer Madbouly,&nbsp;James Robinson,&nbsp;Hans-Peter Eberhard,&nbsp;Jürgen Sauter,&nbsp;Yoram Louzoun,&nbsp;Sapir Israeli,&nbsp;Yung-Tsi Bolon,&nbsp;Julia Pingel,&nbsp;Alexander H. Schmidt,&nbsp;Eric Spierings,&nbsp;Christina Leonhard-Melief,&nbsp;Lydia Foeken,&nbsp;Martine Schuit,&nbsp;Alicia Venter,&nbsp;Steven G. E. Marsh","doi":"10.1111/tan.70255","DOIUrl":"https://doi.org/10.1111/tan.70255","url":null,"abstract":"<p>While the World Marrow Donor Association global database currently offers approximately 42.7 million potential donors and cord blood units to patients in need of haematopoietic cell transplant, lack of eight HLA-matched donors remains a significant barrier. The Registry of Unmet Need (RUN) Project seeks to address disparities in transplant access for patients with rare HLA genotypes, particularly those from populations that have been historically underrepresented and underserved by global donor registries. Patients eligible for this study searched for an unrelated donor for transplant between 2015 and 2017 and, at that time, lacked a potential eight-of-eight HLA-matched unrelated donor (MUD). Sixteen donor registries contributed data from 3654 patients using standardised data-collection project templates. To address this unmet need, pooled data were analysed to identify trends and inform global recruitment strategies. Patient genotypes were queried against the global inventory at later timepoints in 2018 and 2023 to determine whether potential matches had been recruited within the years since the initial search. Patient haplotypes were imputed using an open-source method referencing US population frequencies. The imputation process used five continental reference populations and 21 detailed populations derived from the NMDP database. The method provided a Bayesian inference of population membership. A control group consisting of US patients that yielded 1000 or more potential matches was used for comparison. RUN patient haplotype and genotype frequencies were substantially lower compared with controls; both the more frequent and less frequent haplotypes in RUN patients were found to be approximately 100 times less common than those in the control group. We identified 782 potential cases in which a potential MUD was recruited after the initial RUN patient search was performed; while this result is being further investigated, clear patterns of where these new matches can be found have emerged; typically, new matches are found outside the country where the patient search was initiated. Our findings demonstrate that rare haplotypes are the primary barrier to identifying a MUD; the presence of rare alleles or haplotype combinations, as with multi-race ancestry, is rarely the cause. Although strategic donor recruitment efforts will help improve MUD access, patient transplants should not be delayed in pursuit of a MUD when viable alternative options are available.</p>","PeriodicalId":13172,"journal":{"name":"HLA","volume":"105 5","pages":""},"PeriodicalIF":5.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/tan.70255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}