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Matern BM, Niemann M. PIRCHE application major versions 3 and 4 lead to equivalent T cell epitope mismatch scores in solid organ and stem cell transplantation modules. Hum Immunol 2024:110789. [PMID: 38521663 DOI: 10.1016/j.humimm.2024.110789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/01/2024] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
PIRCHE scores in organ and stem cell transplantation have been shown to correlate with increased risk of donor-specific HLA antibodies and graft-versus-host disease, respectively. With advancements of the PIRCHE application server, it is critical to compare the predicted scores with previous versions. This manuscript compares the newly introduced PIRCHE version 4.2 with its predecessor version 3.3, which was widely used in retrospective studies, using a virtual cohort of 10,000 transplant pairs. In the stem cell transplantation module, both versions yield identical results in 100% of the test population. In the solid organ module, 97% of the test population has identical PIRCHE scores. The deviating cases (3%) were attributed to refinements in the PIRCHE algorithm's specification. Furthermore, the magnitude of the difference is likely to be below the detection limit for clinical effects, confirming the equivalence in PIRCHE scores between versions 3.3 and 4.2.
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2
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Niemann M, Matern BM, Spierings E. Repeated local ellipsoid protrusion supplements HLA surface characterization. HLA 2024; 103:e15260. [PMID: 37853578 DOI: 10.1111/tan.15260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/11/2023] [Accepted: 10/05/2023] [Indexed: 10/20/2023]
Abstract
Allorecognition of donor HLA is a major risk factor for long-term kidney graft survival. Although several molecular matching algorithms have been proposed that compare physiochemical and structural features of the donors' and recipients' HLA proteins in order to predict their compatibility, the exact underlying mechanisms are still not fully understood. We hypothesized that the ElliPro approach of single ellipsoid fitting and protrusion ranking lacks sensitivity for the characteristic shape of HLA molecules and developed a prediction pipeline named Snowball that is fitting smaller ellipsoids iteratively to substructures. Aggregated protrusion ranks of locally fitted ellipsoids were calculated for 712 publicly available HLA structures and 78 predicted structures using AlphaFold 2. Amino-acid sequence and protrusion ranks were used to train deep neural network predictors to infer protrusion ranks for all known HLA sequences. Snowball protrusion ranks appear to be more sensitive than ElliPro scores in fine parts of the HLA such as the helix structures forming the HLA binding groove in particular when the ellipsoids are fitted to substructures considering atoms within a 15 Å radius. A cloud-based web service was implemented based on amino-acid matching considering both protein- and position-specific surface area and protrusion ranks extending the previously presented Snowflake prediction pipeline.
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Affiliation(s)
| | - Benedict M Matern
- Research and Development, PIRCHE AG, Berlin, Germany
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
- Central Diagnostic Laboratory, University Medical Center, Utrecht, Netherlands
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3
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Truong L, Matern BM, El-Lagta N, Mobegi FM, Askar M, Ogret Y, Oguz FS, Kwok J, D'Orsogna L, Martinez P, Petersdorf E, Tilanus MGJ, De Santis D. Report from the extended HLA-DPA1 ~ promoter ~ HLA-DPB1 haplotype of the 18th international HLA and immunogenetics workshop. HLA 2023; 102:690-706. [PMID: 37452528 DOI: 10.1111/tan.15155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/04/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023]
Abstract
The primary goal of the HLA-DPA1 ~ promoter ~ HLA-DPB1 haplotype component of the 18th IHIWS was to characterise the extended haplotypes within the HLA-DP region and survey the extent of genetic diversity in this region across human populations. In this report, we analysed single-nucleotide polymorphisms (SNPs) in 255 subjects from 6 different cohorts. The results from the HLA-DP haplotype component have validated findings from the initial pilot study. SNPs in this region were inherited in strong linkage, particularly HLA-DPA1, SNP-linked promoter haplotypes and motifs in exon 2 of HLA-DPB1. We reported 17 SNP-linked haplotypes in the promoter region. Together with HLA-DPA1 and HLA-DPB1 alleles, they formed 74 distinct extended HLA-DP haplotypes in 438 sequences. We also observed the presence of region-specific alleles and promoter haplotypes. Our approach involved phasing extended SNPs including promoter SNPs, HLA-DPA1 and HLA-DPB1 alleles, in a 22 kb region, GRCh38/hg38 (chr6:33,064,111-33,086,679), followed by clustering of these SNPs as one extended haplotype. This hierarchical clustering revealed four major clades, suggesting that haplotypes within each clade may have diverged from a common ancestral haplotype and undergone similar evolutionary processes. The correlation between HLA-DPA1 and the promoter region raises questions about the role of HLA-DPA1 antigen in the heterodimer. This finding requires validation on a larger sample size specifically designed for anthropological analysis. Nevertheless, the results from this study highlight the clinical potential of selecting better-matched donors for patients awaiting haematopoietic stem cell transplants from genetically overlapping groups that share common ancestral haplotypes.
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Affiliation(s)
- Linh Truong
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
- UWA Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Benedict M Matern
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht, Netherlands
| | - Naser El-Lagta
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
| | - Fredrick M Mobegi
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
| | - Medhat Askar
- QU Health Cluster & Department of Basic Sciences, College of Medicine, Qatar University, Doha, Qatar
| | - Yeliz Ogret
- Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Fatma S Oguz
- Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Janette Kwok
- Division of Transplantation and Immunogenetics, Queen Mary Hospital, Hong Kong, China
| | - Lloyd D'Orsogna
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
- UWA Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Patricia Martinez
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
- UWA Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Effie Petersdorf
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Marcel G J Tilanus
- School for Oncology and Reproduction, GROW, Maastricht University, Maastricht, Netherlands
| | - Dianne De Santis
- Department of Clinical Immunology, PathWest, Fiona Stanley Hospital, Perth, Western Australia, Australia
- UWA Medical School, The University of Western Australia, Perth, Western Australia, Australia
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4
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Matern BM, Niemann M, Nemparis I, Schimanski A, Peereboom ETM, Kramer CSM, Heidt S, Spierings E. Using cloud infrastructure to facilitate data collection and conversion of HLA diagnostic data for the 18th International HLA and Immunogenetics Workshop. HLA 2023; 101:484-495. [PMID: 36754592 DOI: 10.1111/tan.14989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/30/2022] [Accepted: 01/27/2023] [Indexed: 02/10/2023]
Abstract
The International HLA and Immunogenetics Workshop (IHIW) is a recurring gathering of researchers, technologists and clinicians where participants contribute to collaborative projects with a variety of goals, and come to consensus on definitions and standards for representing HLA and immunogenic determinants. The collaborative and international nature of these workshops, combined with the multifaceted goals of several specific workshop components, necessitates the collection and curation of a wide assortment of data, as well as an adaptable platform for export and analysis. With the aim of ensuring data quality and creation of reusable datasets, specific standards and nomenclature conventions are continuously being developed, and are an integral part of IHIW. Here we present the 18th IHIW Database, a purpose-built and extensible cloud-based file repository and web application for collecting and analyzing project-specific data. This platform is based on open-source software and uses established HLA data standards and web technologies to facilitate de-centralized data repository ownership, reduce duplicated efforts, and promote continuity for future IHIWs.
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Affiliation(s)
- Benedict M Matern
- Center for Translational Immunology, UMC Utrecht, Utrecht, The Netherlands
| | | | | | | | - Emma T M Peereboom
- Center for Translational Immunology, UMC Utrecht, Utrecht, The Netherlands
| | - Cynthia S M Kramer
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Eric Spierings
- Center for Translational Immunology, UMC Utrecht, Utrecht, The Netherlands.,Central Diagnostics Laboratory, UMC Utrecht, Utrecht, The Netherlands
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5
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Niemann M, Strehler Y, Lachmann N, Halleck F, Budde K, Hönger G, Schaub S, Matern BM, Spierings E. Snowflake epitope matching correlates with child-specific antibodies during pregnancy and donor-specific antibodies after kidney transplantation. Front Immunol 2022; 13:1005601. [PMID: 36389845 PMCID: PMC9649433 DOI: 10.3389/fimmu.2022.1005601] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/26/2022] [Indexed: 10/01/2023] Open
Abstract
Development of donor-specific human leukocyte antigen (HLA) antibodies (DSA) remains a major risk factor for graft loss following organ transplantation, where DSA are directed towards patches on the three-dimensional structure of the respective organ donor's HLA proteins. Matching donors and recipients based on HLA epitopes appears beneficial for the avoidance of DSA. Defining surface epitopes however remains challenging and the concepts underlying their characterization are not fully understood. Based on our recently implemented computational deep learning pipeline to define HLA Class I protein-specific surface residues, we hypothesized a correlation between the number of HLA protein-specific solvent-accessible interlocus amino acid mismatches (arbitrarily called Snowflake) and the incidence of DSA. To validate our hypothesis, we considered two cohorts simultaneously. The kidney transplant cohort (KTC) considers 305 kidney-transplanted patients without DSA prior to transplantation. During the follow-up, HLA antibody screening was performed regularly to identify DSA. The pregnancy cohort (PC) considers 231 women without major sensitization events prior to pregnancy who gave live birth. Post-delivery serum was screened for HLA antibodies directed against the child's inherited paternal haplotype (CSA). Based on the involved individuals' HLA typings, the numbers of interlocus-mismatched antibody-verified eplets (AbvEPS), the T cell epitope PIRCHE-II model and Snowflake were calculated locus-specific (HLA-A, -B and -C), normalized and pooled. In both cohorts, Snowflake numbers were significantly elevated in recipients/mothers that developed DSA/CSA. Univariable regression revealed significant positive correlation between DSA/CSA and AbvEPS, PIRCHE-II and Snowflake. Snowflake numbers showed stronger correlation with numbers of AbvEPS compared to Snowflake numbers with PIRCHE-II. Our data shows correlation between Snowflake scores and the incidence of DSA after allo-immunization. Given both AbvEPS and Snowflake are B cell epitope models, their stronger correlation compared to PIRCHE-II and Snowflake appears plausible. Our data confirms that exploring solvent accessibility is a valuable approach for refining B cell epitope definitions.
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Affiliation(s)
| | - Yara Strehler
- Center for Tumor Medicine, H&I Laboratory, Charité University Medicine Berlin, Berlin, Germany
| | - Nils Lachmann
- Center for Tumor Medicine, H&I Laboratory, Charité University Medicine Berlin, Berlin, Germany
| | - Fabian Halleck
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Klemens Budde
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Gideon Hönger
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Stefan Schaub
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Benedict M. Matern
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
- Central Diagnostic Laboratory, University Medical Center, Utrecht, Netherlands
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6
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Niemann M, Matern BM, Spierings E. Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility. Front Immunol 2022; 13:937587. [PMID: 35967374 PMCID: PMC9372366 DOI: 10.3389/fimmu.2022.937587] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/11/2022] [Indexed: 12/12/2022] Open
Abstract
Histocompatibility in solid-organ transplantation has a strong impact on long-term graft survival. Although recent advances in matching of both B-cell epitopes and T-cell epitopes have improved understanding of allorecognition, the immunogenic determinants are still not fully understood. We hypothesized that HLA solvent accessibility is allele-specific, thus supporting refinement of HLA B-cell epitope prediction. We developed a computational pipeline named Snowflake to calculate solvent accessibility of HLA Class I proteins for deposited HLA crystal structures, supplemented by constructed HLA structures through the AlphaFold protein folding predictor and peptide binding predictions of the APE-Gen docking framework. This dataset trained a four-layer long short-term memory bidirectional recurrent neural network, which in turn inferred solvent accessibility of all known HLA Class I proteins. We extracted 676 HLA Class-I experimental structures from the Protein Data Bank and supplemented it by 37 Class-I alleles for which structures were predicted. For each of the predicted structures, 10 known binding peptides as reported by the Immune Epitope DataBase were rendered into the binding groove. Although HLA Class I proteins predominantly are folded similarly, we found higher variation in root mean square difference of solvent accessibility between experimental structures of different HLAs compared to structures with identical amino acid sequence, suggesting HLA’s solvent accessible surface is protein specific. Hence, residues may be surface-accessible on e.g. HLA-A*02:01, but not on HLA-A*01:01. Mapping these data to antibody-verified epitopes as defined by the HLA Epitope Registry reveals patterns of (1) consistently accessible residues, (2) only subsets of an epitope’s residues being consistently accessible and (3) varying surface accessibility of residues of epitopes. Our data suggest B-cell epitope definitions can be refined by considering allele-specific solvent-accessibility, rather than aggregating HLA protein surface maps by HLA class or locus. To support studies on epitope analyses in organ transplantation, the calculation of donor-allele-specific solvent-accessible amino acid mismatches was implemented as a cloud-based web service.
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Affiliation(s)
- Matthias Niemann
- Research and Development, PIRCHE AG, Berlin, Germany
- *Correspondence: Matthias Niemann,
| | - Benedict M. Matern
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
- Central Diagnostic Laboratory, University Medical Center, Utrecht, Netherlands
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7
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Carapito R, Aouadi I, Verniquet M, Untrau M, Pichot A, Beaudrey T, Bassand X, Meyer S, Faucher L, Posson J, Morlon A, Kotova I, Delbos F, Walencik A, Aarnink A, Kennel A, Suberbielle C, Taupin JL, Matern BM, Spierings E, Congy-Jolivet N, Essaydi A, Perrin P, Blancher A, Charron D, Cereb N, Maumy-Bertrand M, Bertrand F, Garrigue V, Pernin V, Weekers L, Naesens M, Kamar N, Legendre C, Glotz D, Caillard S, Ladrière M, Giral M, Anglicheau D, Süsal C, Bahram S. The MHC class I MICA gene is a histocompatibility antigen in kidney transplantation. Nat Med 2022; 28:989-998. [PMID: 35288692 PMCID: PMC9117142 DOI: 10.1038/s41591-022-01725-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 01/31/2022] [Indexed: 01/10/2023]
Abstract
The identity of histocompatibility loci, besides human leukocyte antigen (HLA), remains elusive. The major histocompatibility complex (MHC) class I MICA gene is a candidate histocompatibility locus. Here, we investigate its role in a French multicenter cohort of 1,356 kidney transplants. MICA mismatches were associated with decreased graft survival (hazard ratio (HR), 2.12; 95% confidence interval (CI): 1.45–3.11; P < 0.001). Both before and after transplantation anti-MICA donor-specific antibodies (DSA) were strongly associated with increased antibody-mediated rejection (ABMR) (HR, 3.79; 95% CI: 1.94–7.39; P < 0.001; HR, 9.92; 95% CI: 7.43–13.20; P < 0.001, respectively). This effect was synergetic with that of anti-HLA DSA before and after transplantation (HR, 25.68; 95% CI: 3.31–199.41; P = 0.002; HR, 82.67; 95% CI: 33.67–202.97; P < 0.001, respectively). De novo-developed anti-MICA DSA were the most harmful because they were also associated with reduced graft survival (HR, 1.29; 95% CI: 1.05–1.58; P = 0.014). Finally, the damaging effect of anti-MICA DSA on graft survival was confirmed in an independent cohort of 168 patients with ABMR (HR, 1.71; 95% CI: 1.02–2.86; P = 0.041). In conclusion, assessment of MICA matching and immunization for the identification of patients at high risk for transplant rejection and loss is warranted. Analysis of a multicenter cohort of kidney transplants shows that mismatches in the MICA locus and the presence of anti-MICA donor-specific antibodies are associated with reduced graft survival and increased rejection.
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Affiliation(s)
- Raphael Carapito
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France. .,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France. .,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France. .,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France. .,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.
| | - Ismail Aouadi
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France
| | - Martin Verniquet
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France
| | - Meiggie Untrau
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France
| | - Angélique Pichot
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France
| | - Thomas Beaudrey
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Nephrology-Transplantation Department, University Hospital, Strasbourg, France
| | - Xavier Bassand
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Nephrology-Transplantation Department, University Hospital, Strasbourg, France
| | - Sébastien Meyer
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France
| | - Loic Faucher
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,CHU Nantes, Université de Nantes, INSERM, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Juliane Posson
- Paris Translational Research Center for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR_S 970, Paris, France.,Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Aurore Morlon
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,BIOMICA SAS, Strasbourg, France
| | - Irina Kotova
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,BIOMICA SAS, Strasbourg, France
| | - Florent Delbos
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Etablissement Français du Sang (EFS) Centre Pays de la Loire, Laboratoire HLA, Nantes, France
| | - Alexandre Walencik
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Etablissement Français du Sang (EFS) Centre Pays de la Loire, Laboratoire HLA, Nantes, France
| | - Alice Aarnink
- Laboratory of Histocompatibility, Centre Hospitalier Régional Universitaire, Nancy, France
| | - Anne Kennel
- Laboratory of Histocompatibility, Centre Hospitalier Régional Universitaire, Nancy, France
| | - Caroline Suberbielle
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Laboratoire Jean Dausset, Laboratoire d'Immunologie et d'Histocompatibilité, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S 976, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis Université de Paris, Hôpital Saint-Louis, Paris, France
| | - Jean-Luc Taupin
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Laboratoire Jean Dausset, Laboratoire d'Immunologie et d'Histocompatibilité, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S 976, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis Université de Paris, Hôpital Saint-Louis, Paris, France
| | - Benedict M Matern
- Center of Translational Immunology, HLA and Tissue Typing, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Eric Spierings
- Center of Translational Immunology, HLA and Tissue Typing, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nicolas Congy-Jolivet
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunogénétique Moléculaire (LIMT, EA 3034), Faculté de Médecine Purpan, Université Toulouse III (Université Paul Sabatier, UPS), Toulouse, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Arnaud Essaydi
- Etablissement Français du Sang (EFS) Grand-Est, Laboratoire HLA, Strasbourg, France
| | - Peggy Perrin
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Nephrology-Transplantation Department, University Hospital, Strasbourg, France
| | - Antoine Blancher
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunogénétique Moléculaire (LIMT, EA 3034), Faculté de Médecine Purpan, Université Toulouse III (Université Paul Sabatier, UPS), Toulouse, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Dominique Charron
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Laboratoire Jean Dausset, Laboratoire d'Immunologie et d'Histocompatibilité, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S 976, Human Immunology, Pathophysiology, Immunotherapy (HIPI), Institut de Recherche Saint-Louis Université de Paris, Hôpital Saint-Louis, Paris, France
| | | | - Myriam Maumy-Bertrand
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Institut de Recherche Mathématique Avancée (IRMA), Centre National de la Recherche Scientifique (CNRS) UMR 7501, Laboratoire d'Excellence (LabEx) Institut de Recherche en Mathématiques, Interactions et Applications (IRMIA), Université de Strasbourg, Strasbourg, France
| | - Frédéric Bertrand
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Institut de Recherche Mathématique Avancée (IRMA), Centre National de la Recherche Scientifique (CNRS) UMR 7501, Laboratoire d'Excellence (LabEx) Institut de Recherche en Mathématiques, Interactions et Applications (IRMIA), Université de Strasbourg, Strasbourg, France
| | - Valérie Garrigue
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Service de Néphrologie-Transplantation-Dialyse Péritonéale, Centre Hospitalier Universitaire Lapeyronie, Montpellier, France
| | - Vincent Pernin
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Service de Néphrologie-Transplantation-Dialyse Péritonéale, Centre Hospitalier Universitaire Lapeyronie, Montpellier, France
| | - Laurent Weekers
- Division of Nephrology, University of Liege Hospital (ULiege CHU), Liege, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Nassim Kamar
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Departments of Nephrology and Organ Transplantation, Centre Hospitalier Universitaire de Rangueil, INSERM UMR1291 - CNRS UMR5051 - Université Toulouse III, Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), Toulouse, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Christophe Legendre
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Service de Transplantation Rénale Adulte, Hôpital Necker, Assistance Publique - Hôpitaux de Paris, Université de Paris, Paris, France
| | - Denis Glotz
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Paris Translational Research Center for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR_S 970, Paris, France.,Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Sophie Caillard
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.,Nephrology-Transplantation Department, University Hospital, Strasbourg, France
| | - Marc Ladrière
- Department of Renal Transplantation, Centre Hospitalier Régional Universitaire, Nancy, France
| | - Magali Giral
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,CHU Nantes, Université de Nantes, INSERM, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Dany Anglicheau
- Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Service de Transplantation Rénale Adulte, Hôpital Necker, Assistance Publique - Hôpitaux de Paris, Université de Paris, Paris, France.,Institut National de la Santé et de la Recherche Médicale (INSERM), UMR_S 1151, Paris, France
| | - Caner Süsal
- Institute of Immunology, Heidelberg University Hospital, Heidelberg, Germany.,Transplant Immunology Research Center of Excellence, Koç University, Istanbul, Turkey
| | - Seiamak Bahram
- Laboratoire d'ImmunoRhumatologie Moléculaire, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S1109, Plateforme GENOMAX, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, Centre de Recherche d'Immunologie et d'Hématologie, Centre de Recherche en Biomédecine de Strasbourg (CRBS), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France. .,Laboratoire d'Excellence (LabEx) TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France. .,Institut National de la Santé et de la Recherche Médicale (INSERM) Franco (Strasbourg)-Japanese (Nagano) Nextgen HLA Laboratory, Strasbourg, France. .,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France. .,Institut Thématique Interdisciplinaire (ITI) de Médecine de Précision de Strasbourg, Strasbourg, France.
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8
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Niemann M, Matern BM, Spierings E, Schaub S, Hönger G. Peptides Derived From Mismatched Paternal Human Leukocyte Antigen Predicted to Be Presented by HLA-DRB1, -DRB3/4/5, -DQ, and -DP Induce Child-Specific Antibodies in Pregnant Women. Front Immunol 2021; 12:797360. [PMID: 34992608 PMCID: PMC8725048 DOI: 10.3389/fimmu.2021.797360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/25/2021] [Indexed: 11/13/2022] Open
Abstract
Predicted Indirectly ReCognizable Human Leukocyte Antigen (HLA) Epitopes (PIRCHE) are known to be a significant risk factor for the development of donor HLA-specific antibodies after organ transplantation. Most previous studies on PIRCHE limited their analyses on the presentation of the HLA-DRB1 locus, although HLA-DRB3/4/5, -DQ, and -DP are also known for presenting allopeptides to CD4+ T cells. In this study, we analyzed the impact of predicted allopeptides presented by these additional loci on the incidence of HLA-specific antibodies after an immunization event. We considered pregnancy as a model system of an HLA immunization and observed child-specific HLA antibody (CSA) development of 231 mothers during pregnancy by samples being taken at delivery. Our data confirm that PIRCHE presented by HLA-DRB1 along with HLA-DRB3/4/5, -DQ, and -DP are significant predictors for the development of CSA. Although there was limited peptidome overlap observed within the mothers’ presenting HLA proteins, combining multiple presenting loci in a single predictor improved the model only marginally. Prediction performance of PIRCHE further improved when normalizing scores by the respective presenters’ binding promiscuity. Immunogenicity analysis of specific allopeptides could not identify significant drivers of an immune response in this small cohort, suggesting confirmatory studies.
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Affiliation(s)
- Matthias Niemann
- Research and Development, PIRCHE AG, Berlin, Germany
- *Correspondence: Matthias Niemann,
| | - Benedict M. Matern
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center, Utrecht, Netherlands
| | - Stefan Schaub
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Gideon Hönger
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
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9
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Peereboom ETM, Matern BM, Tomosugi T, Niemann M, Drylewicz J, Joosten I, Allebes WA, van der Meer A, Hilbrands LB, Baas MC, van Reekum FE, Verhaar MC, Kamburova EG, Seelen MAJ, Sanders JS, Hepkema BG, Lambeck AJ, Bungener LB, Roozendaal C, Tilanus MGJ, Voorter CE, Wieten L, van Duijnhoven EM, Gelens MACJ, Christiaans MHL, van Ittersum FJ, Nurmohamed A, Lardy NM, Swelsen W, van der Pant KA, van der Weerd NC, Ten Berge IJM, Bemelman FJ, de Vries APJ, de Fijter JW, Betjes MGH, Roelen DL, Claas FH, Otten HG, Heidt S, van Zuilen AD, Kobayashi T, Geneugelijk K, Spierings E. T-Cell Epitopes Shared Between Immunizing HLA and Donor HLA Associate With Graft Failure After Kidney Transplantation. Front Immunol 2021; 12:784040. [PMID: 34868064 PMCID: PMC8637278 DOI: 10.3389/fimmu.2021.784040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/02/2021] [Indexed: 01/04/2023] Open
Abstract
CD4+ T-helper cells play an important role in alloimmune reactions following transplantation by stimulating humoral as well as cellular responses, which might lead to failure of the allograft. CD4+ memory T-helper cells from a previous immunizing event can potentially be reactivated by exposure to HLA mismatches that share T-cell epitopes with the initial immunizing HLA. Consequently, reactivity of CD4+ memory T-helper cells toward T-cell epitopes that are shared between immunizing HLA and donor HLA could increase the risk of alloimmunity following transplantation, thus affecting transplant outcome. In this study, the amount of T-cell epitopes shared between immunizing and donor HLA was used as a surrogate marker to evaluate the effect of donor-reactive CD4+ memory T-helper cells on the 10-year risk of death-censored kidney graft failure in 190 donor/recipient combinations using the PIRCHE-II algorithm. The T-cell epitopes of the initial theoretical immunizing HLA and the donor HLA were estimated and the number of shared PIRCHE-II epitopes was calculated. We show that the natural logarithm-transformed PIRCHE-II overlap score, or Shared T-cell EPitopes (STEP) score, significantly associates with the 10-year risk of death-censored kidney graft failure, suggesting that the presence of pre-transplant donor-reactive CD4+ memory T-helper cells might be a strong indicator for the risk of graft failure following kidney transplantation.
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Affiliation(s)
- Emma T M Peereboom
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Benedict M Matern
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Toshihide Tomosugi
- Department of Transplant Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.,Department of Kidney Diseases and Transplant Immunology, Aichi Medical University School of Medicine, Nagakute, Japan
| | | | - Julia Drylewicz
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Irma Joosten
- Laboratory Medicine, Laboratory Medical Immunology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Wil A Allebes
- Laboratory Medicine, Laboratory Medical Immunology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Arnold van der Meer
- Laboratory Medicine, Laboratory Medical Immunology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Marije C Baas
- Department of Nephrology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Franka E van Reekum
- Department of Nephrology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Marianne C Verhaar
- Department of Nephrology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elena G Kamburova
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Marc A J Seelen
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jan Stephan Sanders
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Bouke G Hepkema
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Annechien J Lambeck
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Laura B Bungener
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Caroline Roozendaal
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Marcel G J Tilanus
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, Netherlands
| | - Christien E Voorter
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, Netherlands
| | - Lotte Wieten
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, Netherlands
| | - Elly M van Duijnhoven
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Mariëlle A C J Gelens
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Maarten H L Christiaans
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Frans J van Ittersum
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Azam Nurmohamed
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Neubury M Lardy
- Department of Immunogenetics/HLA Diagnostic, Sanquin Diagnostic Services, Amsterdam, Netherlands
| | - Wendy Swelsen
- Department of Immunogenetics/HLA Diagnostic, Sanquin Diagnostic Services, Amsterdam, Netherlands
| | - Karlijn A van der Pant
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Neelke C van der Weerd
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Ineke J M Ten Berge
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Fréderike J Bemelman
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Aiko P J de Vries
- Department of Nephrology, Leiden University Medical Center, Leiden, Netherlands
| | - Johan W de Fijter
- Department of Nephrology, Leiden University Medical Center, Leiden, Netherlands
| | - Michiel G H Betjes
- Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Nephrology, Erasmus MC, Rotterdam, Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Frans H Claas
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Henny G Otten
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Arjan D van Zuilen
- Department of Nephrology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Takaaki Kobayashi
- Department of Renal Transplant Surgery, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Kirsten Geneugelijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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10
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Matern BM, Mack SJ, Osoegawa K, Maiers M, Niemann M, Robinson J, Heidt S, Spierings E. Standard reference sequences for submission of HLA genotyping for the 18th International HLA and Immunogenetics Workshop. HLA 2021; 97:512-519. [PMID: 33719220 PMCID: PMC8251737 DOI: 10.1111/tan.14259] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/10/2021] [Indexed: 12/25/2022]
Abstract
The International human leukocyte antigen (HLA) and Immunogenetics Workshops (IHIWs) have fostered international collaborations of researchers and experts in the fields of HLA, histocompatibility and immunology. These IHIW collaborations have comprised many projects focused on achieving a variety of specific goals. The international and collaborative nature of these projects necessitates the collection and analysis of complex data generated in multiple laboratories, often using multiple methods of acquisition. Collection and storage of these data in a consistent way adds value to IHIW projects, which can be extended to future work. DNA‐based genotyping data, especially HLA genotyping data, can be transmitted in the form of a Histoimmunogenetics Markup Language (HML) document. HML facilitates clear communication of a genotype and supporting metadata, such as, sequencing platform, laboratory assays, consensus sequence, and interpretation. Sequence information can be reported relative to known reference sequences, which add meaning and context to genotypes. Selecting the correct reference sequence for a given allele sequence is nuanced, and guidelines have emerged through collaborative community efforts such as Data Standards Hackathons. Here, we describe the guidelines established for the selection of reference sequences to be used in transmission of HLA (and MICA/MICB) genotyping data for the 18th IHIW.
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Affiliation(s)
- Benedict M Matern
- Center of Translational Immunology, UMC Utrecht, Utrecht, the Netherlands
| | - Steven J Mack
- Department of Pediatrics, University of California, Oakland, California, USA
| | - Kazutoyo Osoegawa
- Histocompatibility and Immunogenetics Laboratory, Stanford Blood Center, Palo Alto, California, USA
| | - Martin Maiers
- Bioinformatics, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota, USA.,Bioinformatics, Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota, USA
| | | | - James Robinson
- Anthony Nolan Research Institute, Royal Free Campus, London, UK.,UCL Cancer Institute, University College London (UCL), London, UK
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, the Netherlands
| | - Eric Spierings
- Center of Translational Immunology, UMC Utrecht, Utrecht, the Netherlands
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11
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Duygu B, Matern BM, Wieten L, Voorter CEM, Tilanus MGJ. Specific amino acid patterns define split specificities of HLA-B15 antigens enabling conversion from DNA-based typing to serological equivalents. Immunogenetics 2020; 72:339-346. [PMID: 32561995 PMCID: PMC7456404 DOI: 10.1007/s00251-020-01172-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 06/10/2020] [Indexed: 12/02/2022]
Abstract
The HLA-B15 typing by serological approaches defined the serological subgroups (or splits) B62, B63, B75, B76, B77 and B70 (B71 and B72). The scarcity of sera with specific anti-HLA antibodies makes the serological typing method difficult to discriminate a high variety of HLA antigens, especially between the B15 antigen subgroups. Advancements in DNA-based technologies have led to a switch from serological typing to high-resolution DNA typing methods. DNA sequencing techniques assign B15 specificity to all alleles in the HLA-B*15 allele group, without distinction of the serological split equivalents. However, the presence of antibodies in the patient defined as split B15 antigens urges the identification of HLA-B*15 allele subtypes of the donor, since the presence of donor-specific antibodies is an important contraindication for organ transplantation. Although the HLA dictionary comprises information regarding the serological subtypes of HLA alleles, there are currently 394 B15 antigens out of 516 in the IPD-IMGT/HLA database (3.38.0) without any assigned serological subtype. In this regard, we aimed to identify specific amino acid patterns for each B*15 serological split, in order to facilitate the assignment of B*15 alleles to serological equivalents after high-resolution molecular typing. As a result, serological specificities of 372/394 not yet assigned alleles could be predicted based on amino acid motifs. Furthermore, two new serological types were identified and added, B62-Bw4 and B71-Bw4.
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Affiliation(s)
- Burcu Duygu
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
| | - Benedict M Matern
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Lotte Wieten
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Christina E M Voorter
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Marcel G J Tilanus
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
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12
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Matern BM, Olieslagers TI, Groeneweg M, Duygu B, Wieten L, Tilanus MGJ, Voorter CEM. Long-Read Nanopore Sequencing Validated for Human Leukocyte Antigen Class I Typing in Routine Diagnostics. J Mol Diagn 2020; 22:912-919. [PMID: 32302780 DOI: 10.1016/j.jmoldx.2020.04.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/03/2020] [Accepted: 04/02/2020] [Indexed: 01/23/2023] Open
Abstract
Matching of human leukocyte antigen (HLA) gene polymorphisms by high-resolution DNA sequence analysis is the gold standard for determining compatibility between patient and donor for hematopoietic stem cell transplantation. Single-molecule sequencing (PacBio or MinION) is a newest (third) generation sequencing approach. MinION is a nanopore sequencing platform, which provides long targeted DNA sequences. The long reads provide unambiguous phasing, but the initial high error profile prevented its use in high-impact applications, such as HLA typing for HLA matching of donor and recipient in the transplantation setting. Ongoing developments on instrumentation and basecalling software have improved the per-base accuracy of 1D2 nanopore reads tremendously. In the current study, two validation panels of samples covering 70 of the 71 known HLA class I allele groups were used to compare third field sequences obtained by MinION, with Sanger sequence-based typing showing a 100% concordance between both data sets. In addition, the first validation panel was used to set the acceptance criteria for the use of MinION in a routine setting. The acceptance criteria were subsequently confirmed with the second validation panel. In summary, the present study describes validation and implementation of nanopore sequencing HLA class I typing method and illustrates that nanopore sequencing technology has advanced to a point where it can be used in routine diagnostics with high accuracy.
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Affiliation(s)
- Benedict M Matern
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Timo I Olieslagers
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mathijs Groeneweg
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Burcu Duygu
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Lotte Wieten
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Marcel G J Tilanus
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Christina E M Voorter
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands.
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Matern BM, Groeneweg M, Voorter CEM, Tilanus MGJ. Saddlebags: A software interface for submitting full-length HLA allele sequences to the EMBL-ENA nucleotide database. HLA 2017; 91:29-35. [PMID: 29160623 DOI: 10.1111/tan.13179] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 11/03/2017] [Accepted: 11/15/2017] [Indexed: 12/15/2022]
Abstract
Submission of full-length HLA allele sequences presents a unique challenge, both for high-throughput sequencing laboratories and smaller diagnostic laboratories. HLA's extensive polymorphism means that accurate representation and annotation of allele sequence is of critical importance, and curators of nucleotide databases must establish submission formats to ensure high-quality data and prevent ambiguities. The IPD-IMGT/HLA database is established as the standard repository for HLA sequences, and it is a major goal of the 17th International HLA and Immunogenetics Workshop to fill the IPD-IMGT/HLA database with full-length HLA sequences. The process of preparing sequence annotation and metadata is cumbersome and error prone, and it is desirable to create a straightforward and concise method of preparing sequence submissions. We introduce Saddlebags, a software tool for rapid generation of HLA (novel) full-length allele sequence submissions. HLA allele sequences are submitted first to EMBL European Nucleotide Archive (EMBL-ENA), and metadata is gathered for subsequent preparation of an IPD-IMGT/HLA formatted submission. Combining these steps into a pipeline reduces effort and minimizes errors for submitting laboratories. This software has been used by Maastricht University Medical Center Transplantation Immunology Laboratory to submit 79 novel alleles to EMBL-ENA, and the tool is freely available for the HLA community.
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Affiliation(s)
- B M Matern
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - M Groeneweg
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - C E M Voorter
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - M G J Tilanus
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
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Duygu B, Matern BM, Groeneweg M, Voorter CEM, Tilanus MGJ. Polymorphism at residue 156 of the new HLA-A*02:683 allele suggests immunological relevance. HLA 2017; 90:107-109. [PMID: 28556601 DOI: 10.1111/tan.13059] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 05/08/2017] [Accepted: 05/09/2017] [Indexed: 11/27/2022]
Abstract
HLA-A*02:683 is most similar to 4 different HLA-A*02 subtypes with a single nucleotide difference.
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Affiliation(s)
- B Duygu
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - B M Matern
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - M Groeneweg
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - C E M Voorter
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - M G J Tilanus
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
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