1
|
Geo JA, Ameen R, Al Shemmari S, Thomas J. Advancements in HLA Typing Techniques and Their Impact on Transplantation Medicine. Med Princ Pract 2024; 33:215-231. [PMID: 38442703 PMCID: PMC11175610 DOI: 10.1159/000538176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/28/2024] [Indexed: 03/07/2024] Open
Abstract
HLA typing serves as a standard practice in hematopoietic stem cell transplantation to ensure compatibility between donors and recipients, preventing the occurrence of allograft rejection and graft-versus-host disease. Conventional laboratory methods that have been widely employed in the past few years, including sequence-specific primer PCR and sequencing-based typing (SBT), currently face the risk of becoming obsolete. This risk stems not only from the extensive diversity within HLA genes but also from the rapid advancement of next-generation sequencing and third-generation sequencing technologies. Third-generation sequencing systems like single-molecule real-time (SMRT) sequencing and Oxford Nanopore (ONT) sequencing have the capability to analyze long-read sequences that span entire intronic-exonic regions of HLA genes, effectively addressing challenges related to HLA ambiguity and the phasing of multiple short-read fragments. The growing dominance of these advanced sequencers in HLA typing is expected to solidify further through ongoing refinements, cost reduction, and error rate minimization. This review focuses on hematopoietic stem cell transplantation (HSCT) and explores prospective advancements and application of HLA DNA typing techniques. It explores how the adoption of third-generation sequencing technologies can revolutionize the field by offering improved accuracy, reduced ambiguity, and enhanced assessment of compatibility in HSCT. Embracing these cutting-edge technologies is essential to advancing the success rates and outcomes of hematopoietic stem cell transplantation. This review underscores the importance of staying at the forefront of HLA typing techniques to ensure the best possible outcomes for patients undergoing HSCT.
Collapse
Affiliation(s)
- Jeethu Anu Geo
- Medical Laboratory Sciences Department, Health Sciences Center, Kuwait University, Kuwait City, Kuwait
- Department of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India
| | - Reem Ameen
- Medical Laboratory Sciences Department, Health Sciences Center, Kuwait University, Kuwait City, Kuwait
| | - Salem Al Shemmari
- Department of Medicine, Health Sciences Center, Kuwait University, Kuwait City, Kuwait
| | - Jibu Thomas
- Department of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India
| |
Collapse
|
2
|
Fang J, Yuan C, Luo X, He Z, Fu W. A Thermus thermophilus argonaute-coupling exponential amplification assay for ultrarapid analysis of circulating tumor DNA. Talanta 2024; 266:125034. [PMID: 37597338 DOI: 10.1016/j.talanta.2023.125034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/21/2023]
Abstract
Circulating tumor DNA (ctDNA) is a noninvasive biomarker for liquid biopsy with important clinical and biological information, but existing detection techniques are expensive, complex and quite time-consuming. Here, we report an ultrarapid, sensitive and simple method, which we term Thermus thermophilus argonaute-coupling exponential amplification reaction (TtAgo-CEAR), that selectively amplifies mutated ctDNA. Aiming at seven Kirsten rat sarcoma-2 virus (KRAS) point mutations, the present strategy allows for easy detection with attomolar sensitivity and single-nucleotide specificity within as little as 16 min without prior PCR amplification. We also demonstrate that TtAgo-coupling assay is easily adaptable to Terahertz spectroscopy-based and lateral-flow-based readout. We show that the detected ctDNA concentrations by mouse models can respond to the variations of disease burden in serum samples. It is envisioned that this TtAgo-CEAR approach has great potential for rapid diagnosis and monitoring of diverse malignant tumors.
Collapse
Affiliation(s)
- Jie Fang
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China
| | - Changjing Yuan
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Xizi Luo
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Zhe He
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Weiling Fu
- Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
| |
Collapse
|
3
|
Tran JN, Sherwood KR, Mostafa A, Benedicto RV, ElaAlim A, Greenshields A, Keown P, Liwski R, Lan JH. Novel alleles in the era of next-generation sequencing-based HLA typing calls for standardization and policy. Front Genet 2023; 14:1282834. [PMID: 37900182 PMCID: PMC10611506 DOI: 10.3389/fgene.2023.1282834] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 10/02/2023] [Indexed: 10/31/2023] Open
Abstract
Next-Generation Sequencing (NGS) has transformed clinical histocompatibility laboratories through its capacity to provide accurate, high-throughput, high-resolution typing of Human Leukocyte Antigen (HLA) genes, which is critical for transplant safety and success. As this technology becomes widely used for clinical genotyping, histocompatibility laboratories now have an increased capability to identify novel HLA alleles that previously would not be detected using traditional genotyping methods. Standard guidelines for the clinical verification and reporting of novelties in the era of NGS are greatly needed. Here, we describe the experience of a clinical histocompatibility laboratory's use of NGS for HLA genotyping and its management of novel alleles detected in an ethnically-diverse population of British Columbia, Canada. Over a period of 18 months, 3,450 clinical samples collected for the purpose of solid organ or hematopoietic stem cell transplantation were sequenced using NGS. Overall, 29 unique novel alleles were identified at a rate of ∼1.6 per month. The majority of novelties (52%) were detected in the alpha chains of class II (HLA-DQA1 and -DPA1). Novelties were found in all 11 HLA classical genes except for HLA-DRB3, -DRB4, and -DQB1. All novelties were single nucleotide polymorphisms, where more than half led to an amino acid change, and one resulted in a premature stop codon. Missense mutations were evaluated for changes in their amino acid properties to assess the potential effect on the novel HLA protein. All novelties identified were confirmed independently at another accredited HLA laboratory using a different NGS assay and platform to ensure validity in the reporting of novelties. The novel alleles were submitted to the Immuno Polymorphism Database-Immunogenetics/HLA (IPD-IMGT/HLA) for official allele name designation and inclusion in future database releases. A nationwide survey involving all Canadian HLA laboratories confirmed the common occurrence of novel allele detection but identified a wide variability in the assessment and reporting of novelties. In summary, a considerable proportion of novel alleles were identified in routine clinical testing. We propose a framework for the standardization of policies on the clinical management of novel alleles and inclusion in proficiency testing programs in the era of NGS-based HLA genotyping.
Collapse
Affiliation(s)
- Jenny N. Tran
- British Columbia Provincial Immunology Laboratory, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Karen R. Sherwood
- British Columbia Provincial Immunology Laboratory, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Ahmed Mostafa
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Rey Vincent Benedicto
- British Columbia Provincial Immunology Laboratory, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Allaa ElaAlim
- British Columbia Provincial Immunology Laboratory, Vancouver Coastal Health, Vancouver, BC, Canada
| | | | - Paul Keown
- Department of Pathology and Laboratory Medicine, Vancouver Coastal Health, University of British Columbia, Vancouver, BC, Canada
| | - Robert Liwski
- Department of Pathology, Dalhousie University, Halifax, NS, Canada
| | - James H. Lan
- Department of Pathology and Laboratory Medicine, Vancouver Coastal Health, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
4
|
Sakaue S, Gurajala S, Curtis M, Luo Y, Choi W, Ishigaki K, Kang JB, Rumker L, Deutsch AJ, Schönherr S, Forer L, LeFaive J, Fuchsberger C, Han B, Lenz TL, de Bakker PIW, Okada Y, Smith AV, Raychaudhuri S. Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nat Protoc 2023; 18:2625-2641. [PMID: 37495751 PMCID: PMC10786448 DOI: 10.1038/s41596-023-00853-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/27/2023] [Indexed: 07/28/2023]
Abstract
The human leukocyte antigen (HLA) locus is associated with more complex diseases than any other locus in the human genome. In many diseases, HLA explains more heritability than all other known loci combined. In silico HLA imputation methods enable rapid and accurate estimation of HLA alleles in the millions of individuals that are already genotyped on microarrays. HLA imputation has been used to define causal variation in autoimmune diseases, such as type I diabetes, and in human immunodeficiency virus infection control. However, there are few guidelines on performing HLA imputation, association testing, and fine mapping. Here, we present a comprehensive tutorial to impute HLA alleles from genotype data. We provide detailed guidance on performing standard quality control measures for input genotyping data and describe options to impute HLA alleles and amino acids either locally or using the web-based Michigan Imputation Server, which hosts a multi-ancestry HLA imputation reference panel. We also offer best practice recommendations to conduct association tests to define the alleles, amino acids, and haplotypes that affect human traits. Along with the pipeline, we provide a step-by-step online guide with scripts and available software ( https://github.com/immunogenomics/HLA_analyses_tutorial ). This tutorial will be broadly applicable to large-scale genotyping data and will contribute to defining the role of HLA in human diseases across global populations.
Collapse
Affiliation(s)
- Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Deutsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Paul I W de Bakker
- Data and Computational Sciences, Vertex Pharmaceuticals, Boston, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Albert V Smith
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
| |
Collapse
|
5
|
Vasoya D, Tzelos T, Benedictus L, Karagianni AE, Pirie S, Marr C, Oddsdóttir C, Fintl C, Connelley T. High-Resolution Genotyping of Expressed Equine MHC Reveals a Highly Complex MHC Structure. Genes (Basel) 2023; 14:1422. [PMID: 37510326 PMCID: PMC10379315 DOI: 10.3390/genes14071422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/29/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023] Open
Abstract
The Major Histocompatibility Complex (MHC) genes play a key role in a number of biological processes, most notably in immunological responses. The MHCI and MHCII genes incorporate a complex set of highly polymorphic and polygenic series of genes, which, due to the technical limitations of previously available technologies, have only been partially characterized in non-model but economically important species such as the horse. The advent of high-throughput sequencing platforms has provided new opportunities to develop methods to generate high-resolution sequencing data on a large scale and apply them to the analysis of complex gene sets such as the MHC. In this study, we developed and applied a MiSeq-based approach for the combined analysis of the expressed MHCI and MHCII repertoires in cohorts of Thoroughbred, Icelandic, and Norwegian Fjord Horses. The approach enabled us to generate comprehensive MHCI/II data for all of the individuals (n = 168) included in the study, identifying 152 and 117 novel MHCI and MHCII sequences, respectively. There was limited overlap in MHCI and MHCII haplotypes between the Thoroughbred and the Icelandic/Norwegian Fjord horses, showcasing the variation in MHC repertoire between genetically divergent breeds, and it can be inferred that there is much more MHC diversity in the global horse population. This study provided novel insights into the structure of the expressed equine MHC repertoire and highlighted unique features of the MHC in horses.
Collapse
Affiliation(s)
- Deepali Vasoya
- The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
| | - Thomas Tzelos
- The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
- Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik EH26 0PZ, UK
| | - Lindert Benedictus
- Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL Utrecht, The Netherlands
| | - Anna Eleonora Karagianni
- The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
| | - Scott Pirie
- Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
| | - Celia Marr
- Rossdales Equine Hospital, Cotton End Road, Exning, Newmarket CD8 7NN, UK
| | - Charlotta Oddsdóttir
- The Institute for Experimental Pathology at Keldur, University of Iceland Keldnavegur 3, 112 Reykjavík, Iceland
| | - Constanze Fintl
- Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine and Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway
| | - Timothy Connelley
- The Roslin Institute, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
| |
Collapse
|
6
|
Cohen KW, Fiore-Gartland A, Walsh SR, Yusim K, Frahm N, Elizaga ML, Maenza J, Scott H, Mayer KH, Goepfert PA, Edupuganti S, Pantaleo G, Hutter J, Morris DE, De Rosa SC, Geraghty DE, Robb ML, Michael NL, Fischer W, Giorgi EE, Malhi H, Pensiero MN, Ferrari G, Tomaras GD, Montefiori DC, Gilbert PB, McElrath MJ, Haynes BF, Korber BT, Baden LR. Trivalent mosaic or consensus HIV immunogens prime humoral and broader cellular immune responses in adults. J Clin Invest 2023; 133:e163338. [PMID: 36787249 PMCID: PMC9927951 DOI: 10.1172/jci163338] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/27/2022] [Indexed: 02/15/2023] Open
Abstract
BACKGROUNDMosaic and consensus HIV-1 immunogens provide two distinct approaches to elicit greater breadth of coverage against globally circulating HIV-1 and have shown improved immunologic breadth in nonhuman primate models.METHODSThis double-blind randomized trial enrolled 105 healthy HIV-uninfected adults who received 3 doses of either a trivalent global mosaic, a group M consensus (CON-S), or a natural clade B (Nat-B) gp160 env DNA vaccine followed by 2 doses of a heterologous modified vaccinia Ankara-vectored HIV-1 vaccine or placebo. We performed prespecified blinded immunogenicity analyses at day 70 and day 238 after the first immunization. T cell responses to vaccine antigens and 5 heterologous Env variants were fully mapped.RESULTSEnv-specific CD4+ T cell responses were induced in 71% of the mosaic vaccine recipients versus 48% of the CON-S recipients and 48% of the natural Env recipients. The mean number of T cell epitopes recognized was 2.5 (95% CI, 1.2-4.2) for mosaic recipients, 1.6 (95% CI, 0.82-2.6) for CON-S recipients, and 1.1 (95% CI, 0.62-1.71) for Nat-B recipients. Mean breadth was significantly greater in the mosaic group than in the Nat-B group using overall (P = 0.014), prime-matched (P = 0.002), heterologous (P = 0.046), and boost-matched (P = 0.009) measures. Overall T cell breadth was largely due to Env-specific CD4+ T cell responses.CONCLUSIONPriming with a mosaic antigen significantly increased the number of epitopes recognized by Env-specific T cells and enabled more, albeit still limited, cross-recognition of heterologous variants. Mosaic and consensus immunogens are promising approaches to address global diversity of HIV-1.TRIAL REGISTRATIONClinicalTrials.gov NCT02296541.FUNDINGUS NIH grants UM1 AI068614, UM1 AI068635, UM1 AI068618, UM1 AI069412, UL1 RR025758, P30 AI064518, UM1 AI100645, and UM1 AI144371, and Bill & Melinda Gates Foundation grant OPP52282.
Collapse
Affiliation(s)
- Kristen W. Cohen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Stephen R. Walsh
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Karina Yusim
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, and New Mexico Consortium, Los Alamos, New Mexico, USA
| | - Nicole Frahm
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Marnie L. Elizaga
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Janine Maenza
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Hyman Scott
- San Francisco Department of Public Health, San Francisco, California, USA
| | - Kenneth H. Mayer
- Harvard Medical School, Boston, Massachusetts, USA
- The Fenway Institute, Fenway Health, Boston, Massachusetts, USA
| | | | | | | | - Julia Hutter
- Division of AIDS, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - Daryl E. Morris
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Stephen C. De Rosa
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Daniel E. Geraghty
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Merlin L. Robb
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Nelson L. Michael
- Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Will Fischer
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, and New Mexico Consortium, Los Alamos, New Mexico, USA
| | - Elena E. Giorgi
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, and New Mexico Consortium, Los Alamos, New Mexico, USA
| | - Harmandeep Malhi
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Michael N. Pensiero
- Division of AIDS, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - Guido Ferrari
- Duke Human Vaccine Institute and
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - Georgia D. Tomaras
- Duke Human Vaccine Institute and
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - David C. Montefiori
- Duke Human Vaccine Institute and
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - Peter B. Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - M. Juliana McElrath
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | - Bette T. Korber
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, and New Mexico Consortium, Los Alamos, New Mexico, USA
| | - Lindsey R. Baden
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | |
Collapse
|
7
|
Baek IC, Choi EJ, Kim HJ, Choi H, Kim TG. Distributions of 11-loci HLA alleles typed by amplicon-based next-generation sequencing in South Koreans. HLA 2023; 101:613-622. [PMID: 36720674 DOI: 10.1111/tan.14981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 12/11/2022] [Accepted: 01/27/2023] [Indexed: 02/02/2023]
Abstract
The range of HLA typing for successful hematopoietic stem cell transplantation (HSCT) is gradually expanding with the next-generation sequencing (NGS)-based improvement in its quality. However, it is influenced by the allocation of finances and laboratory conditions. HLA-A, -B, -C, -DRB1/3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 alleles were genotyped at the 3-field level by amplicon-based NGS using MiSeqDx system and compared to our previous study employing long-range PCR and NGS using TruSight HLA v2 kit, in healthy donors from South Korea. Exon 2, exons 2/3, exons 2/3/4 or 5 of 11-loci were amplified by multiplex PCR. The sequence reads of over 53 depth counts were consistently obtained in each sample exon, depending on the target exon determined to match the reference sequence contained in the IPD-IMGT/HLA Database. HLA alleles were investigated by combinations of the determined exons. A total of 18 alleles with a frequency over 10% were found at the 11 HLA loci. Three ambiguities of HLA-A, -C, and -DRB1 were resolved. We observed a total of 26 HLA-A ~ C ~ B and 6 HLA-DRB1 ~ DQA1 ~ DQB1 ~ DPA1 ~ DPB1 haplotypes having significant linkage disequilibrium between alleles at all neighboring HLA loci. This result was compatible with the previous one, using TruSight HLA v2 kit. Advantages are simple and short progress time because one plate is used for each PCR step in one PCR machine and 11-loci HLA typing is possible even if only eight samples. These data suggested that expanded 11-loci HLA typing data by amplicon-based NGS might help perform HSCT.
Collapse
Affiliation(s)
- In-Cheol Baek
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Eun-Jeong Choi
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Hyoung-Jae Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Haeyoun Choi
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Tai-Gyu Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea.,Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| |
Collapse
|
8
|
Wang K, Sun Z, Zhu F, Xu Y, Zhou F. Development of a high-resolution mass-spectrometry-based method and software for human leukocyte antigen typing. Front Immunol 2023; 14:1188381. [PMID: 37187759 PMCID: PMC10175642 DOI: 10.3389/fimmu.2023.1188381] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
Introduction The human leukocyte antigen (HLA) system plays a critical role in the human immune system and is strongly associated with immune recognition and rejection in organ transplantation. HLA typing method has been extensively studied to increase the success rates of clinical organ transplantation. However, while polymerase chain reaction sequence-based typing (PCR-SBT) remains the gold standard, cis/trans ambiguity and nucleotide sequencing signal overlay during heterozygous typing present a problem. The high cost and low processing speed of Next Generation Sequencing (NGS) also render this approach inadequate for HLA typing. Methods and materials To address these limitations of the current HLA typing methods, we developed a novel typing technology based on nucleic acid mass spectrometry (MS) of HLA. Our method takes advantage of the high-resolution mass analysis function of MS and HLAMSTTs (HLA MS Typing Tags, some short fragment PCR amplification target products) with precise primer combinations. Results We correctly typed HLA by measuring the molecular weights of HLAMSTTs with single nucleotide polymorphisms (SNPs). In addition, we developed a supporting HLA MS typing software to design PCR primers, construct the MS database, and select the best-matching HLA typing results. With this new method, we typed 16 HLA-DQA1 samples, including 6 homozygotes and 10 heterozygotes. The MS typing results were validated by PCR-SBT. Discussion The MS HLA typing method is rapid, efficient, accurate, and readily applicable to typing of homozygous and heterozygous samples.
Collapse
Affiliation(s)
- Kun Wang
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Zetao Sun
- Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Fei Zhu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yunping Xu
- Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
- *Correspondence: Yunping Xu, ; Feng Zhou,
| | - Feng Zhou
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Minister of Education, and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- *Correspondence: Yunping Xu, ; Feng Zhou,
| |
Collapse
|
9
|
Clinical recommendations for posttransplant assessment of anti-HLA (Human Leukocyte Antigen) donor-specific antibodies: A Sensitization in Transplantation: Assessment of Risk consensus document. Am J Transplant 2023; 23:115-132. [PMID: 36695614 DOI: 10.1016/j.ajt.2022.11.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/29/2022] [Accepted: 11/04/2022] [Indexed: 01/13/2023]
Abstract
Although anti-HLA (Human Leukocyte Antigen) donor-specific antibodies (DSAs) are commonly measured in clinical practice and their relationship with transplant outcome is well established, clinical recommendations for anti-HLA antibody assessment are sparse. Supported by a careful and critical review of the current literature performed by the Sensitization in Transplantation: Assessment of Risk 2022 working group, this consensus report provides clinical practice recommendations in kidney, heart, lung, and liver transplantation based on expert assessment of quality and strength of evidence. The recommendations address 3 major clinical problems in transplantation and include guidance regarding posttransplant DSA assessment and application to diagnostics, prognostics, and therapeutics: (1) the clinical implications of positive posttransplant DSA detection according to DSA status (ie, preformed or de novo), (2) the relevance of posttransplant DSA assessment for precision diagnosis of antibody-mediated rejection and for treatment management, and (3) the relevance of posttransplant DSA for allograft prognosis and risk stratification. This consensus report also highlights gaps in current knowledge and provides directions for clinical investigations and trials in the future that will further refine the clinical utility of posttransplant DSA assessment, leading to improved transplant management and patient care.
Collapse
|
10
|
Lehmann C, Pehnke S, Weimann A, Bachmann A, Dittrich K, Petzold F, Fürst D, de Fallois J, Landgraf R, Henschler R, Lindner TH, Halbritter J, Doxiadis I, Popp B, Münch J. Extended genomic HLA typing identifies previously unrecognized mismatches in living kidney transplantation. Front Immunol 2023; 14:1094862. [PMID: 36776892 PMCID: PMC9911689 DOI: 10.3389/fimmu.2023.1094862] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/12/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction Antibody mediated rejection (ABMR) is the most common cause of long-term allograft loss in kidney transplantation (KT). Therefore, a low human leukocyte antigen (HLA) mismatch (MM) load is favorable for KT outcomes. Hitherto, serological or low-resolution molecular HLA typing have been adapted in parallel. Here, we aimed to identify previously missed HLA mismatches and corresponding antibodies by high resolution HLA genotyping in a living-donor KT cohort. Methods 103 donor/recipient pairs transplanted at the University of Leipzig Medical Center between 1998 and 2018 were re-typed using next generation sequencing (NGS) of the HLA loci -A, -B, -C, -DRB1, -DRB345, -DQA1, -DQB1, -DPA1, and -DPB1. Based on these data, we compiled HLA MM counts for each pair and comparatively evaluated genomic HLA-typing with pre-transplant obtained serological/low-resolution HLA (=one-field) typing results. NGS HLA typing (=two-field) data was further used for reclassification of de novo HLA antibodies as "donor-specific". Results By two-field HLA re-typing, we were able to identify additional MM in 64.1% (n=66) of cases for HLA loci -A, -B, -C, -DRB1 and -DQB1 that were not observed by one-field HLA typing. In patients with biopsy proven ABMR, two-field calculated MM count was significantly higher than by one-field HLA typing. For additional typed HLA loci -DRB345, -DQA1, -DPA1, and -DPB1 we observed 2, 26, 3, and 23 MM, respectively. In total, 37.3% (69/185) of de novo donor specific antibodies (DSA) formation was directed against these loci (DRB345 ➔ n=33, DQA1 ➔ n=33, DPA1 ➔ n=1, DPB1 ➔ n=10). Conclusion Our results indicate that two-field HLA typing is feasible and provides significantly more sensitive HLA MM recognition in living-donor KT. Furthermore, accurate HLA typing plays an important role in graft management as it can improve discrimination between donor and non-donor HLA directed cellular and humoral alloreactivity in the long range. The inclusion of additional HLA loci against which antibodies can be readily detected, HLA-DRB345, -DQA1, -DQB1, -DPA1, and -DPB1, will allow a more precise virtual crossmatch and better prediction of potential DSA. Furthermore, in living KT, two-field HLA typing could contribute to the selection of the immunologically most suitable donors.
Collapse
Affiliation(s)
- Claudia Lehmann
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Sarah Pehnke
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Antje Weimann
- Division of Visceral Surgery and Transplantation Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Anette Bachmann
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Katalin Dittrich
- Department of Pediatric Nephrology, University of Leipzig Medical Center, Leipzig, Germany
| | - Friederike Petzold
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Daniel Fürst
- Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
| | - Jonathan de Fallois
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Ramona Landgraf
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Reinhard Henschler
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Tom H Lindner
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Jan Halbritter
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany.,Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Ilias Doxiadis
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Bernt Popp
- Institute of Human Genetics, University of Leipzig, Leipzig, Germany
| | - Johannes Münch
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany.,Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
11
|
Pyo C, Harkey MA, Torok‐Storb B, Storb R, Wang R, Thomas AS, Nelson WC, Geraghty DE. Genotyping of canine MHC gene DLA-88 by next-generation sequencing reveals high frequencies of new allele discovery and gene duplication. HLA 2022; 100:479-490. [PMID: 36227705 PMCID: PMC9563979 DOI: 10.1111/tan.14752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/12/2022] [Accepted: 07/31/2022] [Indexed: 01/05/2023]
Abstract
Dogs have served as one of the most reliable preclinical models for a variety of diseases and treatments, including stem/progenitor cell transplantation. At the genetic epicenter of dog transplantation models, polymorphic major histocompatibility complex (MHC) genes are most impactful on transplantation success. Among the canine class I and class II genes, DLA-88 has been best studied in transplantation matching and outcomes, with 129 DLA-88 alleles identified. In this study we developed and tested a next generation (NGS) sequencing protocol for rapid identification of DLA-88 genotypes in dogs and compared the workflow and data generated with an established DLA-88 Sanger sequencing protocol that has been in common prior use for clinical studies. By testing the NGS protocol on a random population of 382 dogs, it was possible to demonstrate superior efficacy based on laboratory execution and overall cost. In addition, NGS proved far more effective at discovering new alleles and detecting multiple alleles associated with gene duplication. A total of 51 new DLA-88 alleles are reported here. This rate of new allele discovery indicates that a large pool of yet un-discovered DLA-88 alleles exists in the domestic dog population. In addition, more than 46% of dogs carried three or more copies of DLA-88, further emphasizing the need for more sensitive and cost-effective DLA typing methodology for the dog clinical model.
Collapse
Affiliation(s)
- Chul‐Woo Pyo
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA,Scisco Genetics Inc.SeattleWashingtonUSA
| | - Michael A. Harkey
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Beverly Torok‐Storb
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Rainer Storb
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA,Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Ruihan Wang
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA,Scisco Genetics Inc.SeattleWashingtonUSA
| | - Alexander S. Thomas
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Wyatt C. Nelson
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA,Scisco Genetics Inc.SeattleWashingtonUSA
| | - Daniel E. Geraghty
- Division of Clinical ResearchFred Hutchinson Cancer CenterSeattleWashingtonUSA,Scisco Genetics Inc.SeattleWashingtonUSA
| |
Collapse
|
12
|
Meneghini M, Perona A, Crespo E, Bemelman F, Reinke P, Viklicky O, Giral M, Palou E, Torija A, Donadeu L, Melilli E, Zuñiga J, Sefrin A, Lachmann N, Hu L, Hruba P, Guillot-Gueguen C, Brouard S, Grinyo J, Bestard O. On the clinical relevance of using complete high-resolution HLA typing for an accurate interpretation of posttransplant immune-mediated graft outcomes. Front Immunol 2022; 13:924825. [PMID: 36248818 PMCID: PMC9559221 DOI: 10.3389/fimmu.2022.924825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/30/2022] [Indexed: 11/18/2022] Open
Abstract
Complete and high-resolution (HR) HLA typing improves the accurate assessment of donor–recipient compatibility and pre-transplant donor-specific antibodies (DSA). However, the value of this information to identify de novo immune-mediated graft events and its impact on outcomes has not been assessed. In 241 donor/recipient kidney transplant pairs, DNA samples were re-evaluated for six-locus (A/B/C/DRB1/DQB1+A1/DPB1) HR HLA typing. De novo anti-HLA antibodies were assessed using solid-phase assays, and dnDSA were classified either (1) as per current clinical practice according to three-locus (A/B/DRB1) low-resolution (LR) typing, estimating donor HLA-C/DQ typing with frequency tables, or (2) according to complete six-locus HR typing. The impact on graft outcomes was compared between groups. According to LR HLA typing, 36 (15%) patients developed dnDSA (LR_dnDSA+). Twenty-nine out of 36 (80%) were confirmed to have dnDSA by HR typing (LR_dnDSA+/HR_dnDSA+), whereas 7 (20%) did not (LR_dnDSA+/HR_dnDSA−). Out of 49 LR_dnDSA specificities, 34 (69%) were confirmed by HR typing whereas 15 (31%) LR specificities were not confirmed. LR_dnDSA+/HR_dnDSA+ patients were at higher risk of ABMR as compared to dnDSA− and LR_dnDSA+/HR_dnDSA− (logRank < 0.001), and higher risk of death-censored graft loss (logRank = 0.001). Both LR_dnDSA+ (HR: 3.51, 95% CI = 1.25–9.85) and LR_dnDSA+/HR_dnDSA+ (HR: 4.09, 95% CI = 1.45–11.54), but not LR_dnDSA+/HR_dnDSA− independently predicted graft loss. The implementation of HR HLA typing improves the characterization of biologically relevant de novo anti-HLA DSA and discriminates patients with poorer graft outcomes.
Collapse
Affiliation(s)
- Maria Meneghini
- Kidney Transplant Unit, Nephrology Department. Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anna Perona
- Department of Medicine, Barcelona University, Barcelona, Spain
| | - Elena Crespo
- Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Frederike Bemelman
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Centers, Academic Medical Center - University of Amsterdam, Amsterdam, Netherlands
| | - Petra Reinke
- Berlin Center for Advanced Therapies (BeCAT), Berlin Institute of Health Center for Regenerative Therapies (BCRT) and Department of Nephrology and Intensive Care, Charité Universitätsmedizin Berlin, Berlin Institute of Health, Berlin, Germany
| | - Ondrej Viklicky
- Transplant Laboratory, Institute for Clinical and Experimental Medicine (IKEM), Prague, Czechia
- Department of Nephrology, Institute for Clinical and Experimental Medicine (IKEM), Prague, Czechia
| | - Magali Giral
- Nantes Université, Inserm, Centre Hospitalier Universitaire (CHU) Nantes, Centre de Recherche en Transplantation et Immunologie UMR1064, Institut de Transplantation Urologie-Néphrologie (ITUN), Nantes, France
| | - Eduard Palou
- Histocompatibility Laboratory, Immunology Department. Hospital Clinic, Barcelona, Spain
| | - Alba Torija
- Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Donadeu
- Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Edoardo Melilli
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain
| | - Jose Zuñiga
- Kidney Transplant Unit, Nephrology Department. Vall d’Hebron University Hospital, Barcelona, Spain
| | - Anett Sefrin
- Berlin Center for Advanced Therapies (BeCAT), Berlin Institute of Health Center for Regenerative Therapies (BCRT) and Department of Nephrology and Intensive Care, Charité Universitätsmedizin Berlin, Berlin Institute of Health, Berlin, Germany
| | - Nils Lachmann
- HLA- Laboratory, Charité- Universitätsmedizin Berlin, Berlin, Germany
| | - Liu Hu
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Centers, Academic Medical Center - University of Amsterdam, Amsterdam, Netherlands
| | - Petra Hruba
- Transplant Laboratory, Institute for Clinical and Experimental Medicine (IKEM), Prague, Czechia
- Department of Nephrology, Institute for Clinical and Experimental Medicine (IKEM), Prague, Czechia
| | - Cécile Guillot-Gueguen
- Nantes Université, Inserm, Centre Hospitalier Universitaire (CHU) Nantes, Centre de Recherche en Transplantation et Immunologie UMR1064, Institut de Transplantation Urologie-Néphrologie (ITUN), Nantes, France
| | - Sophie Brouard
- Nantes Université, Inserm, Centre Hospitalier Universitaire (CHU) Nantes, Centre de Recherche en Transplantation et Immunologie UMR1064, Institut de Transplantation Urologie-Néphrologie (ITUN), Nantes, France
| | - Josep Grinyo
- Department of Medicine, Barcelona University, Barcelona, Spain
| | - Oriol Bestard
- Kidney Transplant Unit, Nephrology Department. Vall d’Hebron University Hospital, Barcelona, Spain
- Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- *Correspondence: Oriol Bestard,
| |
Collapse
|
13
|
Koelle DM, Dong L, Jing L, Laing KJ, Zhu J, Jin L, Selke S, Wald A, Varon D, Huang ML, Johnston C, Corey L, Posavad CM. HSV-2-Specific Human Female Reproductive Tract Tissue Resident Memory T Cells Recognize Diverse HSV Antigens. Front Immunol 2022; 13:867962. [PMID: 35432373 PMCID: PMC9009524 DOI: 10.3389/fimmu.2022.867962] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/07/2022] [Indexed: 01/05/2023] Open
Abstract
Antigen-specific TRM persist and protect against skin or female reproductive tract (FRT) HSV infection. As the pathogenesis of HSV differs between humans and model organisms, we focus on humans with well-characterized recurrent genital HSV-2 infection. Human CD8+ TRM persisting at sites of healed human HSV-2 lesions have an activated phenotype but it is unclear if TRM can be cultivated in vitro. We recovered HSV-specific TRM from genital skin and ectocervix biopsies, obtained after recovery from recurrent genital HSV-2, using ex vivo activation by viral antigen. Up to several percent of local T cells were HSV-reactive ex vivo. CD4 and CD8 T cell lines were up to 50% HSV-2-specific after sorting-based enrichment. CD8 TRM displayed HLA-restricted reactivity to specific HSV-2 peptides with high functional avidities. Reactivity to defined peptides persisted locally over several month and was quite subject-specific. CD4 TRM derived from biopsies, and from an extended set of cervical cytobrush specimens, also recognized diverse HSV-2 antigens and peptides. Overall we found that HSV-2-specific TRM are abundant in the FRT between episodes of recurrent genital herpes and maintain competency for expansion. Mucosal sites are accessible for clinical monitoring during immune interventions such as therapeutic vaccination.
Collapse
Affiliation(s)
- David M Koelle
- Department of Medicine, University of Washington, Seattle, WA, United States.,Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,Department of Global Health, University of Washington, Seattle, WA, United States.,Department of Translational Research, Benaroya Research Institute, Seattle, WA, United States
| | - Lichun Dong
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Lichen Jing
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Kerry J Laing
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Jia Zhu
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Lei Jin
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States
| | - Stacy Selke
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States
| | - Anna Wald
- Department of Medicine, University of Washington, Seattle, WA, United States.,Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.,Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Dana Varon
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States
| | - Meei-Li Huang
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States
| | - Christine Johnston
- Department of Medicine, University of Washington, Seattle, WA, United States.,Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Lawrence Corey
- Department of Medicine, University of Washington, Seattle, WA, United States.,Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Christine M Posavad
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.,Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| |
Collapse
|
14
|
Spencer Mangum D, Caywood E. A clinician’s guide to HLA matching in allogeneic hematopoietic stem cell transplant. Hum Immunol 2022; 83:687-694. [DOI: 10.1016/j.humimm.2022.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/14/2022] [Accepted: 03/02/2022] [Indexed: 12/26/2022]
|
15
|
Krummey SM, Cliff Sullivan H. The utility of imputation for molecular mismatch analysis in solid organ transplantation. Hum Immunol 2022; 83:241-247. [PMID: 35216846 DOI: 10.1016/j.humimm.2021.11.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/15/2021] [Accepted: 11/26/2021] [Indexed: 02/07/2023]
Abstract
HLA genotyping has undergone a rapid progression in resolution since the development of DNA-based typing methods. Despite the advent of high-resolution next-generation sequencing, the bulk of solid organ genotyping is performed at intermediate resolution, which provides multiple possible two-field results for each classical HLA loci. As a result, several methodologies have been developed to impute the most likely allele-level (two-field) HLA genotype for the purposes of donor-recipient compatibility analysis. The advent of molecular mismatch analysis, however, has placed a new emphasis on the accuracy of imputation. While seminal molecular mismatch studies have relied on the imputation of intermediate resolution genotyping, several recent studies have performed analysis showing that imputation generates inaccuracies in epitope identification. While the clinical impact of these errors is not clear, it is important that these concerns do not preclude future progress in understanding the utility of molecular mismatch analysis in transplantation. In the future, advances in genotyping methods will result in routine two-field resolution that will abrogate these concerns. In the meantime, however, studies are needed in order to address the role of molecular mismatch in diverse patient populations and to carefully address the potential of molecular mismatch analysis in the context of imputation.
Collapse
Affiliation(s)
- Scott M Krummey
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - H Cliff Sullivan
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, United States
| |
Collapse
|
16
|
Concurrent use of two independent methods prevents erroneous HLA typing of deceased organ donors – An important strategy for patient safety and accurate virtual crossmatching for broader sharing. Hum Immunol 2022; 83:458-466. [DOI: 10.1016/j.humimm.2022.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/09/2022] [Accepted: 02/12/2022] [Indexed: 11/21/2022]
|
17
|
Blouin AG, Askar M. Chimerism analysis for clinicians: a review of the literature and worldwide practices. Bone Marrow Transplant 2022; 57:347-359. [PMID: 35082369 DOI: 10.1038/s41409-022-01579-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 12/18/2021] [Accepted: 01/12/2022] [Indexed: 11/09/2022]
Abstract
This review highlights literature pertinent to chimerism analysis in the context of hematopoietic cell transplantation (HCT). We also conducted a survey of testing practices of program members of CIBMTR worldwide. Questions included testing methods, time points, specimen type, cell lineage tested and testing indications. Recent literature suggests that detection of low level mixed chimerism has a clinical utility in predicting relapse. There is also increasing recognition of HLA loss relapse to potentially guide rescue decisions in cases of relapse. These developments coincide with wider access to high sensitivity next generation sequencing (NGS) in clinical laboratories. Our survey revealed a heterogeneity in practices as well as in findings and conclusions of published studies. Although the most commonly used method is STR, studies support more sensitive methods such as NGS, especially for predicting relapse. There is no conclusive evidence to support testing chimerism in BM over PB, particularly when using a high sensitivity testing method. Periodic monitoring of chimerism especially in diagnoses with a high risk of relapse is advantageous. Lineage specific chimerism is more sensitive than whole blood in predicting impending relapse. Further studies that critically assess how to utilize chimerism testing results will inform evidence based clinical management decisions.
Collapse
Affiliation(s)
- Amanda G Blouin
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Medhat Askar
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Department of Pathology & Laboratory Medicine, Baylor University Medical Center, Dallas, TX, USA. .,Department of Pathology and Laboratory Medicine, Texas A&M Health Science Center College of Medicine, Bryan, TX, USA. .,National Donor Marrow Program (NMDP)/Be The Match, Minneapolis, MN, USA.
| |
Collapse
|
18
|
Zhao LP, Roychoudhury P, Gilbert P, Schiffer J, Lybrand TP, Payne TH, Randhawa A, Thiebaud S, Mills M, Greninger A, Pyo CW, Wang R, Li R, Thomas A, Norris B, Nelson WC, Jerome KR, Geraghty DE. Mutations in viral nucleocapsid protein and endoRNase are discovered to associate with COVID19 hospitalization risk. Sci Rep 2022; 12:1206. [PMID: 35075180 PMCID: PMC8786941 DOI: 10.1038/s41598-021-04376-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/16/2021] [Indexed: 12/27/2022] Open
Abstract
SARS-CoV-2 is spreading worldwide with continuously evolving variants, some of which occur in the Spike protein and appear to increase viral transmissibility. However, variants that cause severe COVID-19 or lead to other breakthroughs have not been well characterized. To discover such viral variants, we assembled a cohort of 683 COVID-19 patients; 388 inpatients ("cases") and 295 outpatients ("controls") from April to August 2020 using electronically captured COVID test request forms and sequenced their viral genomes. To improve the analytical power, we accessed 7137 viral sequences in Washington State to filter out viral single nucleotide variants (SNVs) that did not have significant expansions over the collection period. Applying this filter led to the identification of 53 SNVs that were statistically significant, of which 13 SNVs each had 3 or more variant copies in the discovery cohort. Correlating these selected SNVs with case/control status, eight SNVs were found to significantly associate with inpatient status (q-values < 0.01). Using temporal synchrony, we identified a four SNV-haplotype (t19839-g28881-g28882-g28883) that was significantly associated with case/control status (Fisher's exact p = 2.84 × 10-11). This haplotype appeared in April 2020, peaked in June, and persisted into January 2021. The association was replicated (OR = 5.46, p-value = 4.71 × 10-12) in an independent cohort of 964 COVID-19 patients (June 1, 2020 to March 31, 2021). The haplotype included a synonymous change N73N in endoRNase, and three non-synonymous changes coding residues R203K, R203S and G204R in the nucleocapsid protein. This discovery points to the potential functional role of the nucleocapsid protein in triggering "cytokine storms" and severe COVID-19 that led to hospitalization. The study further emphasizes a need for tracking and analyzing viral sequences in correlations with clinical status.
Collapse
Affiliation(s)
- Lue Ping Zhao
- Division of Public Health Sciences, Fred Hutch Cancer Center, Seattle, WA, 98109, USA.
| | - Pavitra Roychoudhury
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Peter Gilbert
- Division of Public Health Sciences, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Joshua Schiffer
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Terry P Lybrand
- Quintepa Computing LLC, Nashville, TN, USA
- Department of Chemistry, Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Thomas H Payne
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - April Randhawa
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Sara Thiebaud
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Margaret Mills
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Alex Greninger
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Scisco Genetics Inc., Seattle, WA, 98102, USA
| | - Ruihan Wang
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Scisco Genetics Inc., Seattle, WA, 98102, USA
| | - Renyu Li
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Alexander Thomas
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
| | - Brandon Norris
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Scisco Genetics Inc., Seattle, WA, 98102, USA
| | - Wyatt C Nelson
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Scisco Genetics Inc., Seattle, WA, 98102, USA
| | - Keith R Jerome
- Vaccine and Infectious Disease Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, 98109, USA.
- Scisco Genetics Inc., Seattle, WA, 98102, USA.
| |
Collapse
|
19
|
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] [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.
Collapse
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
| |
Collapse
|
20
|
Baek IC, Choi EJ, Shin DH, Kim HJ, Choi H, Kim TG. Allele and haplotype frequencies of human leukocyte antigen-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 by next generation sequencing-based typing in Koreans in South Korea. PLoS One 2021; 16:e0253619. [PMID: 34153078 PMCID: PMC8216545 DOI: 10.1371/journal.pone.0253619] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 06/08/2021] [Indexed: 11/18/2022] Open
Abstract
Allele frequencies and haplotype frequencies of HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 have been rarely reported in South Koreans using unambiguous, phase-resolved next generation DNA sequencing. In this study, HLA typing of 11 loci in 173 healthy South Koreans were performed using next generation DNA sequencing with long-range PCR, TruSight® HLA v2 kit, Illumina MiSeqDx platform system, and Assign™ for TruSight™ HLA software. Haplotype frequencies were calculated using the PyPop software. Direct counting methods were used to investigate the association with DRB1 for samples with only one copy of a particular secondary DRB locus. We compared these allele types with the ambiguous allele combinations of the IPD-IMGT/HLA database. We identified 20, 40, 26, 31, 19, 16, 4, and 16 alleles of HLA-A, HLA-B, HLA-C, HLA-DRB1, HLA-DQA1, HLA-DQB1, HLA-DPA1, and HLA-DPB1, respectively. The number of HLA-DRB3/4/5 alleles was 4, 5, and 3, respectively. The haplotype frequencies of most common haplotypes were as follows: A*33:03:01-B*44:03:01-C*14:03-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 (2.89%), A*33:03:01-B*44:03:01-C*14:03 (4.91%), DRB1*08:03:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*05:01:01 (5.41%), DRB1*04:05:01-DRB4*01:03:01 (12.72%), DQA1*01:03:01-DQB1*06:01:01 (13.01%), and DPA1*02:02:02-DPB1*05:01:01 (30.83%). In samples with only one copy of a specific secondary DRB locus, we examined its association with DRB1. We, thus, resolved 10 allele ambiguities in HLA-B, -C (each exon 2+3), -DRB1, -DQB1, -DQA1, and -DPB1 (each exon 2) of the IPD-IMGT/HLA database. Korean population was geographically close to Japanese and Han Chinese populations in the genetic distances by multidimensional scaling (MDS) plots. The information obtained by HLA typing of the 11 extended loci by next generation sequencing may be useful for more exact diagnostic tests on various transplantations and the genetic population relationship studies in South Koreans.
Collapse
Affiliation(s)
- In-Cheol Baek
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Eun-Jeong Choi
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Dong-Hwan Shin
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Hyoung-Jae Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Haeyoun Choi
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Tai-Gyu Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, South Korea
- * E-mail:
| |
Collapse
|
21
|
New challenges, new opportunities: Next generation sequencing and its place in the advancement of HLA typing. Hum Immunol 2021; 82:478-487. [PMID: 33551127 DOI: 10.1016/j.humimm.2021.01.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 12/29/2020] [Accepted: 01/18/2021] [Indexed: 02/07/2023]
Abstract
The Human Leukocyte Antigen (HLA) system has a critical role in immunorecognition, transplantation, and disease association. Early typing techniques provided the foundation for genotyping methods that revealed HLA as one of the most complex, polymorphic regions of the human genome. Next Generation Sequencing (NGS), the latest molecular technology introduced in clinical tissue typing laboratories, has demonstrated advantages over other established methods. NGS offers high-resolution sequencing of entire genes in time frames and price points considered unthinkable just a few years ago, contributing a wealth of data informing histocompatibility assessment and standards of clinical care. Although the NGS platforms share a high-throughput massively parallel processing model, differing chemistries provide specific strengths and weaknesses. Research-oriented Third Generation Sequencing and related advances in bioengineering continue to broaden the future of NGS in clinical settings. These diverse applications have demanded equally innovative strategies for data management and computational bioinformatics to support and analyze the unprecedented volume and complexity of data generated by NGS. We discuss some of the challenges and opportunities associated with NGS technologies, providing a comprehensive picture of the historical developments that paved the way for the NGS revolution, its current state and future possibilities for HLA typing.
Collapse
|
22
|
Lemieux W, Mohammadhassanzadeh H, Klement W, Daniel C, Sapir-Pichhadze R. Matchmaker, matchmaker make me a match: Opportunities and challenges in optimizing compatibility of HLA eplets in transplantation. Int J Immunogenet 2021; 48:135-144. [PMID: 33426788 DOI: 10.1111/iji.12525] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/12/2020] [Accepted: 12/20/2020] [Indexed: 12/20/2022]
Abstract
The development of donor-specific antibodies (DSAs) is a major complication in transplantation, which is associated with inferior graft survival, impaired quality of life, and increased healthcare costs. DSA develop upon recognition of nonself HLA by the recipient's immune system. HLA molecules contain epitopes, which are the surface regions of HLA molecules recognized by antibodies. HLAMatchmaker is an algorithm for assessing donor:recipient HLA compatibility at the level of structurally defined HLA targets called eplets. The consideration of eplets, rather than the whole HLA molecule, could offer some advantages when classifying the immune risk associated with particular donor:recipient pairs. Assessing compatibility at the level of HLA eplets could decrease misclassification of post-transplant immune risk by improving specificity, when antibodies are confirmed to be directed against donor eplets missing from the recipient's repertoire of eplets. Consideration of eplets may also increase the sensitivity of immune risk assessment, when identifying mismatched eplets that could give rise to new, not previously detected, donor-specific antibodies post-transplant. Eplet matching can serve as a rational strategy for immune risk mitigation. Herein, we review the evolution of HLA (in) compatibility assessment for organ allocation. We outline challenges in the implementation of eplet-based donor:recipient matching, including unavailability of allele-level donor genotypes for 11 HLA loci at the time of organ allocation and difficulty in assessing the hierarchy of immune risk associated with particular HLA eplet mismatches. Opportunities to address some of the current shortcomings of donor genotyping and HLAMatchmaker are also discussed. While there is a demonstrated benefit in the application of HLAMatchmaker for donor: recipient HLA (in)compatibility assessment, evolving long-read genotyping methods, compilation of large data sets with allele-level genotypes, and standardization of methods to verify eplets as determinants of immune-mediated injuries are required before HLA eplet matching is implemented in organ allocation to improve upon transplant outcomes.
Collapse
Affiliation(s)
- William Lemieux
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada
| | - Hossein Mohammadhassanzadeh
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada
| | - William Klement
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada.,Canadian Blood Services, Ottawa, Ontario, Canada
| | - Claude Daniel
- Division of Hematology, McGill University Health Centre, Montréal, QC, Canada
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada.,Division of Nephrology and the Multi-Organ Transplant Program, Royal Victoria Hospital, McGill University Health Centre, Montréal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| |
Collapse
|
23
|
De Santis D, Truong L, Martinez P, D'Orsogna L. Rapid high‐resolution
HLA
genotyping by
MinION
Oxford nanopore sequencing for deceased donor organ allocation. HLA 2020; 96:141-162. [DOI: 10.1111/tan.13901] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 03/23/2020] [Accepted: 04/08/2020] [Indexed: 01/20/2023]
Affiliation(s)
- Dianne De Santis
- Department of Clinical ImmunologyPathWest, Fiona Stanley Hospital Perth Western Australia Australia
| | - Linh Truong
- Department of Clinical ImmunologyPathWest, Fiona Stanley Hospital Perth Western Australia Australia
| | - Patricia Martinez
- Department of Clinical ImmunologyPathWest, Fiona Stanley Hospital Perth Western Australia Australia
| | - Lloyd D'Orsogna
- Department of Clinical ImmunologyPathWest, Fiona Stanley Hospital Perth Western Australia Australia
| |
Collapse
|
24
|
Guerra SG, Hamilton-Jones S, Brown CJ, Navarrete CV, Chong W. Next generation sequencing of 11 HLA loci characterises a diverse UK cord blood bank. Hum Immunol 2020; 81:269-279. [PMID: 32305144 DOI: 10.1016/j.humimm.2020.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/02/2020] [Accepted: 04/02/2020] [Indexed: 12/16/2022]
Abstract
The introduction of next generation sequencing (NGS) for stem cell donor registry typing has contributed to faster identification of compatible stem cell donors. However, the successful search for a matched unrelated donor for some patient groups is still affected by their ethnicity. In this study, DNA samples from 714 National Health Service (NHS) Cord Blood Bank donors were typed for HLA-A, -B, -C, -DRB1, -DRB345, -DQA1, -DQB1, -DPA1 and -DPB1 by NGS. Analysis of the ethnic diversity showed a high level of diversity, with the cohort comprising of 62.3% European and 37.7% of either multi-ethnic or non-European donors, of which 12.3% were multi-ethnic. The HLA diversity was further confirmed using PyPop analysis, 405 distinct alleles were observed in the overall NHS-CBB cohort, of which 37 alleles are non-CWD, including A*31:14N, B*35:68:02, C*14:23 and DQA1*05:10. Furthermore, HLA-DQA1 and HLA-DPA1 analysis showed 12% and 10%, respectively, of the alleles currently submitted to IMGT, confirming further diversity of the NHS-CBB cohort. The application of 11 HLA loci resolution by NGS revealed a high level of diversity in the NHS-CBB cohort. The incorporation of this data coupled with ethnicity data could lead to improved donor selection, contributing to better clinical outcomes for patients.
Collapse
Affiliation(s)
- Sandra G Guerra
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK
| | - Siobhan Hamilton-Jones
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK
| | - Colin J Brown
- Histocompatibility & Immunogenetics Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK; Faculty of Life Sciences and Medicine, King College London, UK
| | - Cristina V Navarrete
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK; Division of Infection and Immunity, University College London, London, UK
| | - Winnie Chong
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK.
| |
Collapse
|
25
|
Cargou M, Ralazamahaleo M, Blouin L, Top I, Elsermans V, Andreani M, Guidicelli G, Visentin J. Evaluation of the AllType kit for HLA typing using the Ion Torrent S5 XL platform. HLA 2019; 95:30-39. [DOI: 10.1111/tan.13708] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 09/04/2019] [Accepted: 09/20/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Marine Cargou
- CHU de Bordeaux, Laboratoire d'Immunologie et Immunogénétique Hôpital Pellegrin Bordeaux France
- Immuno ConcEpT Bordeaux France
- Université de Bordeaux Bordeaux France
| | - Mamy Ralazamahaleo
- CHU de Bordeaux, Laboratoire d'Immunologie et Immunogénétique Hôpital Pellegrin Bordeaux France
| | - Laura Blouin
- CHU de Bordeaux, Laboratoire d'Immunologie et Immunogénétique Hôpital Pellegrin Bordeaux France
| | - Isabelle Top
- CHRU de Lille, Institut d'Immunologie‐HLA Lille France
| | | | - Marco Andreani
- Laboratorio d'Immunogenetica dei Trapianti IRCCS Ospedale Pediatrico Bambino Gesù Roma Italy
| | - Gwendaline Guidicelli
- CHU de Bordeaux, Laboratoire d'Immunologie et Immunogénétique Hôpital Pellegrin Bordeaux France
| | - Jonathan Visentin
- CHU de Bordeaux, Laboratoire d'Immunologie et Immunogénétique Hôpital Pellegrin Bordeaux France
- Immuno ConcEpT Bordeaux France
- Université de Bordeaux Bordeaux France
| |
Collapse
|
26
|
Smith AG, Pereira S, Jaramillo A, Stoll ST, Khan FM, Berka N, Mostafa AA, Pando MJ, Usenko CY, Bettinotti MP, Pyo CW, Nelson WC, Willis A, Askar M, Geraghty DE. Comparison of sequence-specific oligonucleotide probe vs next generation sequencing for HLA-A, B, C, DRB1, DRB3/B4/B5, DQA1, DQB1, DPA1, and DPB1 typing: Toward single-pass high-resolution HLA typing in support of solid organ and hematopoietic cell transplant programs. HLA 2019; 94:296-306. [PMID: 31237117 PMCID: PMC6772026 DOI: 10.1111/tan.13619] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 05/09/2019] [Accepted: 06/18/2019] [Indexed: 01/18/2023]
Abstract
Many clinical laboratories supporting solid organ transplant programs use multiple HLA genotyping technologies, depending on individual laboratory needs. Sequence‐specific primers and quantitative polymerase chain reaction (qPCR) serve the rapid turnaround necessary for deceased donor workup, while sequence‐specific oligonucleotide probe (SSOP) technology is widely employed for higher volumes. When clinical need mandates high‐resolution data, Sanger sequencing‐based typing (SBT) has been the “gold standard.” However, all those methods commonly yield ambiguous typing results that utilize valuable laboratory resources when resolution is required. In solid organ transplantation, high‐resolution typing may provide critical information for highly sensitized patients with donor‐specific anti‐HLA antibodies (DSA), particularly when DSA involve HLA alleles not discriminated by SSOP typing. Arguments against routine use of SBT include assay complexity, long turnaround times (TAT), and increased costs. Here, we compare a next generation sequencing (NGS) technology with SSOP for accuracy, effort, turnaround time, and level of resolution for genotyping of 11 HLA loci among 289 specimens from five clinical laboratories. Results were concordant except for SSOP misassignments in eight specimens and 21 novel sequences uniquely identified by NGS. With few exceptions, SSOP generated ambiguous results while NGS provided unambiguous three‐field allele assignments. For complete HLA genotyping of up to 24 samples by either SSOP or NGS, bench work was completed on day 1 and typing results were available on day 2. This study provides compelling evidence that, although not viable for STAT typing of deceased donors, a single‐pass NGS HLA typing method has direct application for solid organ transplantation.
Collapse
Affiliation(s)
- Anajane G Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Shalini Pereira
- Department of Laboratory Medicine, University of Washington, Seattle, Washington
| | - Andrés Jaramillo
- Division of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, Arizona
| | - Scott T Stoll
- Division of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, Arizona
| | - Faisal M Khan
- Calgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta
| | - Noureddine Berka
- Calgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta
| | - Ahmed A Mostafa
- Calgary Laboratory Services, Calgary, Alberta Children's Hospital Research Institute, Alberta
| | - Marcelo J Pando
- Department of Surgery, Scott & White Medical Center, Temple, Texas
| | - Crystal Y Usenko
- Department of Surgery, Scott & White Medical Center, Temple, Texas
| | - Maria P Bettinotti
- Immunogenetics Laboratory, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Wyatt C Nelson
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Amanda Willis
- Department of Pathology and Laboratory Medicine, Baylor University Medical Center, Dallas, Texas
| | - Medhat Askar
- Department of Pathology and Laboratory Medicine, Baylor University Medical Center, Dallas, Texas
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| |
Collapse
|