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Gramkow AM, Baatrup JH, Gramkow ET, Thiesson HC, Koefoed-Nielsen P. Association of HLA B- and T-cell molecular mismatches with HLA antibodies, rejection, and graft survival in pediatric kidney transplantation. Pediatr Transplant 2024; 28:e14773. [PMID: 38808702 DOI: 10.1111/petr.14773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 04/01/2024] [Accepted: 04/18/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Optimizing graft survival and diminishing human leukocyte antigen (HLA) sensitization are essential for pediatric kidney transplant recipients. More precise HLA matching predicting epitope mismatches could reduce alloreactivity. We investigated the association of predicted HLA B- and T-cell molecular mismatches with the formation of de novo donor-specific antibodies, HLA antibodies, rejection, and graft survival. METHODS Forty-nine pediatric kidney transplant recipients transplanted from 2009 to 2020 were retrospectively studied. Donors and recipients were high-resolution HLA typed, and recipients were screened for HLA antibodies posttransplant. HLA-EMMA (HLA Epitope MisMatch Algorithm) and PIRCHE-II (Predicted Indirectly ReCognizable HLA Epitopes) predicted the molecular mismatches. The association of molecular mismatches and the end-points was explored with logistic regression. RESULTS Five recipients (11%) developed de novo donor-specific antibodies. All five had de novo donor-specific antibodies against HLA class II, with four having HLA-DQ antibodies. We found no associations between PIRCHE-II or HLA-EMMA with de novo donor-specific antibodies, HLA sensitization, graft loss, or rejection. However, we did see a tendency towards an increased odds ratio in PIRCHE-II predicting de novo donor-specific antibodies formation, with an odds ratio of 1.12 (95% CI: 0.99; 1.28) on HLA class II. CONCLUSION While the study revealed no significant associations between the number of molecular mismatches and outcomes, a notable trend was observed - indicating a reduced risk of dnDSA formation with improved molecular match. It is important to acknowledge, however, that the modest population size and limited observed outcomes preclude us from making definitive conclusions.
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Affiliation(s)
- Ann-Maria Gramkow
- Department of Nephrology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Johanne H Baatrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Emilie T Gramkow
- Department of Nephrology, Odense University Hospital, Odense, Denmark
- Department of Molecular Medicine - Cancer and Inflammation, University of Southern Denmark, Odense, Denmark
| | - Helle C Thiesson
- Department of Nephrology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Mankowski MA, Gragert L, Segev DL, Montgomery R, Gentry SE, Mangiola M. Balancing Equity and HLA Matching in Deceased-Donor Kidney Allocation with Eplet Mismatch. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.13.23290644. [PMID: 38947023 PMCID: PMC11213093 DOI: 10.1101/2024.06.13.23290644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Prioritization of HLA antigen-level matching in the US kidney allocation system intends to improve post-transplant survival but causes racial disparities and thus has been substantially de-emphasized. Recently, molecular matching based on eplets has been found to improve risk stratification compared to antigen matching. Methods To assign eplets unambiguously, we utilized a cohort of 5193 individuals with high resolution allele-level HLA genotypes from the National Kidney Registry. Using repeated random sampling to simulate donor-recipient genotype pairings based on the ethnic composition of the historical US deceased donor pool, we profiled the percentage of well-matched donors for candidates by ethnicity. Results The percentage of well-matched donors with zero-DR/DQ eplet mismatch was 3-fold less racially disparate for Black and Asian candidates than percentage of donors with zero-ABDR antigen mismatches, and 2-fold less racially disparate for Latino candidates. For other HLA antigen and eplet mismatch thresholds, the percentage of well-matched donors was more similar across candidate ethnic groups. Conclusions Compared to the current zero-ABDR antigen mismatch, prioritizing a zero-DR/DQ eplet mismatch in allocation would decrease racial disparities and increase the percentage of well-matched donors. High resolution HLA deceased donor genotyping would enable unambiguous assignment of eplets to operationalize molecular mismatch metrics in allocation. Key Points Question: What is the impact of prioritizing low molecular mismatch transplants on racial and ethnic disparities in US deceased-donor kidney allocation, compared to the current prioritization of antigen-level matching?Findings: The lowest-risk eplet mismatch approach decreases racial disparities up to 3-fold compared to lowest-risk antigen mismatch and identifies a larger number of the lowest allo-immune risk donors.Meaning: Prioritizing eplet matching in kidney transplant allocation could both improve outcomes and reduce racial disparities compared to the current antigen matching.
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3
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Charnaya O, Van Arendonk K, Segev D. Strategies for choosing the best living donor: A review of the literature and a proposal of a decision-making paradigm. Pediatr Transplant 2024; 28:e14779. [PMID: 38766997 PMCID: PMC11107570 DOI: 10.1111/petr.14779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/31/2024] [Accepted: 04/24/2024] [Indexed: 05/22/2024]
Abstract
Transplantation remains the gold-standard treatment for pediatric end-stage kidney disease. While living donor transplant is the preferred option for most pediatric patients, it is not the right choice for all. For those who have the option to choose between deceased donor and living donor transplantation, or from among multiple potential living donors, the transplant clinician must weigh multiple dynamic factors to identify the most optimal donor. This review will cover the key considerations when choosing between potential living donors and will propose a decision-making algorithm.
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Affiliation(s)
- Olga Charnaya
- Department of Pediatrics, Johns Hopkins University School of Medicine
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4
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Hiho SJ, Levvey BJ, Diviney MB, Snell GI, Sullivan LC, Westall GP. Comparison of human leukocyte antigen immunologic risk stratification methods in lung transplantation. Am J Transplant 2024; 24:827-838. [PMID: 37981213 DOI: 10.1016/j.ajt.2023.11.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 11/07/2023] [Accepted: 11/10/2023] [Indexed: 11/21/2023]
Abstract
Outcomes after lung transplantation (LTx) remain poor, despite advances in sequencing technology and development of algorithms defining immunologic compatibility. Presently, there is no consensus regarding the best approach to define human leukocyte antigen (HLA) compatibility in LTx. In this study, we compared 5 different HLA compatibility tools in a high-resolution HLA-typed, clinically characterized cohort, to determine which approach predicts outcomes after LTx. In this retrospective single-center study, 277 donor-recipient transplant pairs were HLA-typed using next generation sequencing. HLA compatibility was defined using HLAMatchmaker, HLA epitope mismatch algorithm (HLA-EMMA), predicted indirectly recognizable HLA epitopes (PIRCHE), electrostatic mismatch score (EMS), and amino acid mismatches (AAMMs). Associations with HLA mismatching and survival, chronic lung allograft dysfunction (CLAD), and anti-HLA donor-specific antibody (DSA) were calculated using adjusted Cox proportional modeling. Lower HLA class II mismatching was associated with improved survival as defined by HLAMatchmaker (P < .01), HLA-EMMA (P < .05), PIRCHE (P < .05), EMS (P < .001), and AAMM (P < .01). All approaches demonstrated that HLA-DRB1345 matching was associated with freedom from restrictive allograft syndrome and HLA-DQ matching with reduced DSA development. Reducing the level of HLA mismatching, in T cell or B cell epitopes, electrostatic differences, or amino acid, can improve outcomes after LTx and potentially guide immunosuppression strategies.
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Affiliation(s)
- Steven J Hiho
- Lung Transplant Service, Department of Respiratory Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia; Australian Red Cross LifeBlood, Victorian Transplantation and Immunogenetics Service, Melbourne, Victoria, Australia.
| | - Bronwyn J Levvey
- Lung Transplant Service, Department of Respiratory Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Mary B Diviney
- Australian Red Cross LifeBlood, Victorian Transplantation and Immunogenetics Service, Melbourne, Victoria, Australia
| | - Gregory I Snell
- Lung Transplant Service, Department of Respiratory Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Lucy C Sullivan
- Lung Transplant Service, Department of Respiratory Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia; Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia; Australian Red Cross LifeBlood, South Australian Transplantation and Immunogenetics Service, Adelaide, South Australia, Australia
| | - Glen P Westall
- Lung Transplant Service, Department of Respiratory Medicine, Alfred Hospital and Monash University, Melbourne, Victoria, Australia
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5
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Tran J, Alrajhi I, Chang D, Sherwood KR, Keown P, Gill J, Kadatz M, Gill J, Lan JH. Clinical relevance of HLA-DQ eplet mismatch and maintenance immunosuppression with risk of allosensitization after kidney transplant failure. Front Genet 2024; 15:1383220. [PMID: 38638120 PMCID: PMC11024336 DOI: 10.3389/fgene.2024.1383220] [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: 02/07/2024] [Accepted: 03/21/2024] [Indexed: 04/20/2024] Open
Abstract
The optimal immunosuppression management in patients with a failed kidney transplant remains uncertain. This study analyzed the association of class II HLA eplet mismatches and maintenance immunosuppression with allosensitization after graft failure in a well characterized cohort of 21 patients who failed a first kidney transplant. A clinically meaningful increase in cPRA in this study was defined as the cPRA that resulted in 50% reduction in the compatible donor pool measured from the time of transplant failure until the time of repeat transplantation, death, or end of study. The median cPRA at the time of failure was 12.13% (interquartile ranges = 0.00%, 83.72%) which increased to 62.76% (IQR = 4.34%, 99.18%) during the median follow-up of 27 (IQR = 18, 39) months. High HLA-DQ eplet mismatches were significantly associated with an increased risk of developing a clinically meaningful increase in cPRA (p = 0.02) and de novo DQ donor-specific antibody against the failed allograft (p = 0.02). We did not observe these associations in patients with high HLA-DR eplet mismatches. Most of the patients (88%) with a clinically meaningful increase in cPRA had both a high DQ eplet mismatch and a reduction in their immunosuppression, suggesting the association is modified by immunosuppression. The findings suggest HLA-DQ eplet mismatch analysis may serve as a useful tool to guide future clinical studies and trials which assess the management of immunosuppression in transplant failure patients who are repeat transplant candidates.
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Affiliation(s)
- Jenny Tran
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ibrahim Alrajhi
- King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Doris Chang
- Vancouver Coastal Health Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Karen R. Sherwood
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Paul Keown
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jagbir Gill
- Division of Nephrology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Providence Health Care Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Matthew Kadatz
- Vancouver Coastal Health Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Nephrology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - John Gill
- Division of Nephrology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Providence Health Care Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - James H. Lan
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Nephrology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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6
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Lan JH. Assessment of Novel Therapeutics to Improve Access to Transplantation for Highly Sensitized Patients in a Shifting Clinical Landscape. J Am Soc Nephrol 2024; 35:259-260. [PMID: 38303118 PMCID: PMC10962892 DOI: 10.1681/asn.0000000000000302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Affiliation(s)
- James H Lan
- British Columbia Provincial Immunology Laboratory, Vancouver Coastal Health, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; and Division of Nephrology, Kidney Transplant Program, University of British Columbia, Vancouver, British Columbia, Canada
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7
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Kramer CSM, Bezstarosti S, Franke-van Dijk MEI, Vergunst M, Roelen DL, Uyar-Mercankaya M, Voogt-Bakker KH, Heidt S. Antibody verification of HLA class I and class II eplets by human monoclonal HLA antibodies. HLA 2024; 103:e15345. [PMID: 38239050 DOI: 10.1111/tan.15345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/11/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024]
Abstract
In solid organ transplantation, formation of de novo donor-specific HLA antibodies is induced by mismatched eplets on donor HLA molecules. While several studies have shown a strong correlation between the number of eplet mismatches and inferior outcomes, not every eplet mismatch is immunogenic. Eplets are theoretically defined entities, necessitating formal proof that they can be recognised and bound by antibodies. This antibody verification is pivotal to ensure that clinically relevant eplets are considered in studies on molecular matching. Recombinant human HLA-specific monoclonal antibodies (mAbs) were generated from HLA-reactive B cell clones isolated from HLA immunised individuals using recombinant HLA molecules. Subsequently, the reactivity patterns of the mAbs obtained from single antigen bead assay were analysed using HLA-EMMA software to identify single or configurations of solvent accessible amino acids uniquely present on the reactive HLA alleles and were mapped to eplets. Two HLA class I and seven HLA class II-specific human mAbs were generated from four individuals. Extensive mAb reactivity analysis, led to antibody verification of three HLA-DR-specific eplets, and conversion of five eplets (one HLA-A, one HLA-B, two HLA-DR, and one HLA-DP), from provisionally verified to truly antibody-verified. Finally, one HLA-DQ-specific eplet was upgraded from level A2 to level A1 verification evidence. The generation of recombinant human HLA-specific mAbs with different specificities contributes significantly to the antibody verification of eplets and therefore is instrumental for implementation of eplet matching in the clinical setting.
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Affiliation(s)
- Cynthia S M Kramer
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Suzanne Bezstarosti
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Manon Vergunst
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Kim H Voogt-Bakker
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
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8
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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] [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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9
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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.
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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
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10
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Alves TA, Nascimento E, de Castro LB, Fabreti-Oliveira RA. Impact of HLA eplet mismatch load in immunological outcomes after living donor kidney transplantation. Transpl Immunol 2023; 80:101908. [PMID: 37536379 DOI: 10.1016/j.trim.2023.101908] [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: 05/01/2023] [Revised: 07/26/2023] [Accepted: 07/29/2023] [Indexed: 08/05/2023]
Abstract
INTRODUCTION HLA eplets mismatches (eMM) have been associated with negative kidney outcomes after transplantation, such as the development of de novo donor-specific antibody (dnDSA), antibody-mediated rejection (ABMR), and early graft loss. This study aimed to evaluate the clinical effects of the HLA eMM load on dnDSA development, ABMR, renal function, allograft survival and graft loss. MATERIAL AND METHODS This retrospective study involved 159 living donor kidney transplant patients categorized into groups based on antigen HLA mismatches assessed traditionally and HLA eMM load. Patients had followed for at least one year. The EpViX online program was used to evaluate the HLA eMM load. Cox models were constructed to assess the risk of graft loss. Kaplan-Meier survival curves were carried out. The analyses had performed using the R program and p < 0.05 was considered significant. RESULTS From all 159 patients, 28 (17.6%) lost their allografts. Rejection episodes occurred in 37.1% of patients, 13.6% of whom were ABMR. Patients with rejection episodes had higher HLA-AB (p = 0.032) and HLA-DR (p = 0.008) HLA eMM load, HLA-AB (p = 0.006) and HLA-DR (p = 0.009) antigens mismatches, and higher proportions of the following eMM in the HLA-DR locus: 70R eMM (p = 0.015), 70RE (p = 0.015), 74E (p = 0.015) and 48Q (p = 0.047). In multiple models, the presence of HLA-DR 70qq eMM (HR 3.75, 95% CI 1.47; 9.55) add an increase in creatinine levels at 1-year (HR 3.87, 95% CI 2.30, 6.53) were associated with the risk of graft loss. CONCLUSION The HLA eMM load was related to episodes of rejection and allograft loss. The HLA-DR eMM was most strongly associated with a worse immunologic outcome than eMM mismatches for HLA-AB.
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Affiliation(s)
- Thiago Abramo Alves
- Faculty of Medical Sciences, Belo Horizonte, Minas Gerais, Brazil; University Hospital of the Faculty of Medical Sciences, Belo Horizonte, Minas Gerais, Brazil.
| | - Evaldo Nascimento
- IMUNOLAB - Laboratory of Histocompatibility, Belo Horizonte, Minas Gerais, Brazil; Institute of Research and Education of the Hospital Santa Casa, Belo Horizonte, Minas Gerais, Brazil.
| | | | - Raquel Aparecida Fabreti-Oliveira
- Faculty of Medical Sciences, Belo Horizonte, Minas Gerais, Brazil; IMUNOLAB - Laboratory of Histocompatibility, Belo Horizonte, Minas Gerais, Brazil.
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11
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Dasariraju S, Gragert L, Wager GL, McCullough K, Brown NK, Kamoun M, Urbanowicz RJ. HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm. J Biomed Inform 2023; 142:104374. [PMID: 37120046 PMCID: PMC10286565 DOI: 10.1016/j.jbi.2023.104374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/02/2023] [Accepted: 04/23/2023] [Indexed: 05/01/2023]
Abstract
OBJECTIVE While associations between HLA antigen-level mismatches (Ag-MM) and kidney allograft failure are well established, HLA amino acid-level mismatches (AA-MM) have been less explored. Ag-MM fails to consider the substantial variability in the number of MMs at polymorphic amino acid (AA) sites within any given Ag-MM category, which may conceal variable impact on allorecognition. In this study we aim to develop a novel Feature Inclusion Bin Evolver for Risk Stratification (FIBERS) and apply it to automatically discover bins of HLA amino acid mismatches that stratify donor-recipient pairs into low versus high graft survival risk groups. METHODS Using data from the Scientific Registry of Transplant Recipients, we applied FIBERS on a multiethnic population of 166,574 kidney transplants between 2000 and 2017. FIBERS was applied (1) across all HLA-A, B, C, DRB1, and DQB1 locus AA-MMs with comparison to 0-ABDR Ag-MM risk stratification, (2) on AA-MMs within each HLA locus individually, and (3) using cross validation to evaluate FIBERS generalizability. The predictive power of graft failure risk stratification was evaluated while adjusting for donor/recipient characteristics and HLA-A, B, C, DRB1, and DQB1 Ag-MMs as covariates. RESULTS FIBERS's best-performing bin (on AA-MMs across all loci) added significant predictive power (hazard ratio = 1.10, Bonferroni adj. p < 0.001) in stratifying graft failure risk (where low-risk is defined as zero AA-MMs and high-risk is one or more AA-MMs) even after adjusting for Ag-MMs and donor/recipient covariates. The best bin also categorized more than twice as many patients to the low-risk category, compared to traditional 0-ABDR Ag mismatching (∼24.4% vs ∼ 9.1%). When HLA loci were binned individually, the bin for DRB1 exhibited the strongest risk stratification; relative to zero AA-MM, one or more MMs in the bin yielded HR = 1.11, p < 0.005 in a fully adjusted Cox model. AA-MMs at HLA-DRB1 peptide contact sites contributed most to incremental risk of graft failure. Additionally, FIBERS points to possible risk associated with HLA-DQB1 AA-MMs at positions that determine specificity of peptide anchor residues and HLA-DQ heterodimer stability. CONCLUSION FIBERS's performance suggests potential for discovery of HLA immunogenetics-based risk stratification of kidney graft failure that outperforms traditional assessment.
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Affiliation(s)
- Satvik Dasariraju
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States; The Lawrenceville School, Lawrenceville, NJ, United States
| | - Loren Gragert
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, United States
| | - Grace L Wager
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, United States
| | - Keith McCullough
- Arbor Research Collaborative for Health, Ann Arbor, MI, United States
| | - Nicholas K Brown
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Malek Kamoun
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Ryan J Urbanowicz
- Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA, United States.
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12
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Kim JJ, Fichtner A, Copley HC, Gragert L, Süsal C, Dello Strologo L, Oh J, Pape L, Weber LT, Weitz M, König J, Krupka K, Tönshoff B, Kosmoliaptsis V. Molecular HLA mismatching for prediction of primary humoral alloimmunity and graft function deterioration in paediatric kidney transplantation. Front Immunol 2023; 14:1092335. [PMID: 37033962 PMCID: PMC10080391 DOI: 10.3389/fimmu.2023.1092335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/23/2023] [Indexed: 03/17/2023] Open
Abstract
Introduction Rejection remains the main cause of allograft failure in paediatric kidney transplantation and is driven by donor-recipient HLA mismatching. Modern computational algorithms enable assessment of HLA mismatch immunogenicity at the molecular level (molecular-mismatch, molMM). Whilst molMM has been shown to correlate with alloimmune outcomes, evidence demonstrating improved prediction performance against traditional antigen mismatching (antMM) is lacking. Methods We analysed 177 patients from the CERTAIN registry (median follow-up 4.5 years). molMM scores included Amino-Acid-Mismatch-Score (AAMS), Electrostatic-Mismatch-Score (EMS3D) and netMHCIIpan (netMHC1k: peptide binding affinity ≤1000 nM; netMHC: binding affinity ≤500 nM plus rank <2%). We stratified patients into high/low-risk groups based on risk models of DSA development. Results Donor-specific HLA antibodies (DSA) predominantly targeted the highest scoring molMM donor antigen within each HLA locus. MolMM scores offered superior discrimination versus antMM in predicting de novo DSA for all HLA loci; the EMS3D algorithm had particularly consistent performance (area under the receiver operating characteristic curve (AUC) >0.7 for all HLA loci vs. 0.52-0.70 for antMM). ABMR (but not TCMR) was associated with HLA-DQ molMM scores (AAMS, EMS3D and netMHC). Patients with high-risk HLA-DQ molMM had increased risk of graft function deterioration (50% reduction in baseline eGFR (eGFR50), adjusted HR: 3.5, 95% CI 1.6-8.2 high vs. low EMS3D). Multivariable modelling of the eGFR50 outcome using EMS3D HLA-DQ stratification showed better discrimination (AUC EMS3D vs. antMM at 2 years: 0.81 vs. 0.77, at 4.5 years: 0.72 vs. 0.64) and stratified more patients into the low-risk group, compared to traditional antMM. Conclusion Molecular mismatching was superior to antigen mismatching in predicting humoral alloimmunity. Molecular HLA-DQ mismatching appears to be a significant prognostic factor for graft function deterioration in paediatric kidney transplantation.
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Affiliation(s)
- Jon Jin Kim
- Department of Surgery, University of Cambridge, Cambridge, United Kingdom
- Department of Paediatric Nephrology, Nottingham University Hospital, Nottingham, United Kingdom
| | - Alexander Fichtner
- Department of Pediatrics I, University Children’s Hospital Heidelberg, Heidelberg, Germany
| | - Hannah C. Copley
- Department of Surgery, University of Cambridge, Cambridge, United Kingdom
| | - Loren Gragert
- School of Medicine, Tulane University, New Orleans, LA, United States
| | - Caner Süsal
- Transplantation Immunology, Institute of Immunology, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Jun Oh
- University Hospital Hamburg, Pediatric Nephrology, Hamburg, Germany
| | - Lars Pape
- Clinic for Paediatrics III, Essen University Hospital, Essen, Germany
| | - Lutz T. Weber
- Pediatric Nephrology, Children’s and Adolescents’ Hospital, University Hospital Cologne, Cologne, Germany
| | - Marcus Weitz
- University Hospital Tübingen, Pediatric Nephrology, Tübingen, Germany
| | - Jens König
- Department of General Pediatrics, University Children’s Hospital, Münster, Germany
| | - Kai Krupka
- Department of Pediatrics I, University Children’s Hospital Heidelberg, Heidelberg, Germany
| | - Burkhard Tönshoff
- Department of Pediatrics I, University Children’s Hospital Heidelberg, Heidelberg, Germany
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation at the University of Cambridge and the NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom
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Seeking Standardized Definitions for HLA-incompatible Kidney Transplants: A Systematic Review. Transplantation 2023; 107:231-253. [PMID: 35915547 DOI: 10.1097/tp.0000000000004262] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND There is no standard definition for "HLA incompatible" transplants. For the first time, we systematically assessed how HLA incompatibility was defined in contemporary peer-reviewed publications and its prognostic implication to transplant outcomes. METHODS We combined 2 independent searches of MEDLINE, EMBASE, and the Cochrane Library from 2015 to 2019. Content-expert reviewers screened for original research on outcomes of HLA-incompatible transplants (defined as allele or molecular mismatch and solid-phase or cell-based assays). We ascertained the completeness of reporting on a predefined set of variables assessing HLA incompatibility, therapies, and outcomes. Given significant heterogeneity, we conducted narrative synthesis and assessed risk of bias in studies examining the association between death-censored graft failure and HLA incompatibility. RESULTS Of 6656 screened articles, 163 evaluated transplant outcomes by HLA incompatibility. Most articles reported on cytotoxic/flow T-cell crossmatches (n = 98). Molecular genotypes were reported for selected loci at the allele-group level. Sixteen articles reported on epitope compatibility. Pretransplant donor-specific HLA antibodies were often considered (n = 143); yet there was heterogeneity in sample handling, assay procedure, and incomplete reporting on donor-specific HLA antibodies assignment. Induction (n = 129) and maintenance immunosuppression (n = 140) were frequently mentioned but less so rejection treatment (n = 72) and desensitization (n = 70). Studies assessing death-censored graft failure risk by HLA incompatibility were vulnerable to bias in the participant, predictor, and analysis domains. CONCLUSIONS Optimization of transplant outcomes and personalized care depends on accurate HLA compatibility assessment. Reporting on a standard set of variables will help assess generalizability of research, allow knowledge synthesis, and facilitate international collaboration in clinical trials.
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Yaghoubi M, Cressman S, Edwards L, Shechter S, Doyle-Waters MM, Keown P, Sapir-Pichhadze R, Bryan S. A Systematic Review of Kidney Transplantation Decision Modelling Studies. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2023; 21:39-51. [PMID: 35945483 DOI: 10.1007/s40258-022-00744-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/19/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Genome-based precision medicine strategies promise to minimize premature graft loss after renal transplantation, through precision approaches to immune compatibility matching between kidney donors and recipients. The potential adoption of this technology calls for important changes to clinical management processes and allocation policy. Such potential policy change decisions may be supported by decision models from health economics, comparative effectiveness research and operations management. OBJECTIVE We used a systematic approach to identify and extract information about models published in the kidney transplantation literature and provide an overview of the status of our collective model-based knowledge about the kidney transplant process. METHODS Database searches were conducted in MEDLINE, Embase, Web of Science and other sources, for reviews and primary studies. We reviewed all English-language papers that presented a model that could be a tool to support decision making in kidney transplantation. Data were extracted on the clinical context and modelling methods used. RESULTS A total of 144 studies were included, most of which focused on a single component of the transplantation process, such as immunosuppressive therapy or donor-recipient matching and organ allocation policies. Pre- and post-transplant processes have rarely been modelled together. CONCLUSION A whole-disease modelling approach is preferred to inform precision medicine policy, given its potential upstream implementation in the treatment pathway. This requires consideration of pre- and post-transplant natural history, risk factors for allograft dysfunction and failure, and other post-transplant outcomes. Our call is for greater collaboration across disciplines and whole-disease modelling approaches to more accurately simulate complex policy decisions about the integration of precision medicine tools in kidney transplantation.
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Affiliation(s)
- Mohsen Yaghoubi
- Department of Pharmacy Practice, Mercer University College of Pharmacy, Atlanta, USA
| | - Sonya Cressman
- Faculty of Health Sciences, Simon Fraser University, School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Louisa Edwards
- School of Population and Public Health, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Steven Shechter
- Sauder School of Business, University of British Columbia, Vancouver, Canada
| | - Mary M Doyle-Waters
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
| | - Paul Keown
- Department of Medicine, Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | | | - Stirling Bryan
- School of Population and Public Health, University of British Columbia, Vancouver, V6T 1Z3, Canada.
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15
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Johnson AC, Silva JAF, Kim SC, Larsen CP. Progress in kidney transplantation: The role for systems immunology. Front Med (Lausanne) 2022; 9:1070385. [PMID: 36590970 PMCID: PMC9800623 DOI: 10.3389/fmed.2022.1070385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
The development of systems biology represents an immense breakthrough in our ability to perform translational research and deliver personalized and precision medicine. A multidisciplinary approach in combination with use of novel techniques allows for the extraction and analysis of vast quantities of data even from the volume and source limited samples that can be obtained from human subjects. Continued advances in microfluidics, scalability and affordability of sequencing technologies, and development of data analysis tools have made the application of a multi-omics, or systems, approach more accessible for use outside of specialized centers. The study of alloimmune and protective immune responses after solid organ transplant offers innumerable opportunities for a multi-omics approach, however, transplant immunology labs are only just beginning to adopt the systems methodology. In this review, we focus on advances in biological techniques and how they are improving our understanding of the immune system and its interactions, highlighting potential applications in transplant immunology. First, we describe the techniques that are available, with emphasis on major advances that allow for increased scalability. Then, we review initial applications in the field of transplantation with a focus on topics that are nearing clinical integration. Finally, we examine major barriers to adapting these methods and discuss potential future developments.
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16
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Wiebe C, Nickerson PW, Kosmoliaptsis V. Molecular Mismatch and the Risk for T Cell-Mediated Rejection. Am J Kidney Dis 2022; 80:704-706. [PMID: 36057468 DOI: 10.1053/j.ajkd.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/27/2022] [Indexed: 02/02/2023]
Affiliation(s)
- Chris Wiebe
- Department of Medicine, University of Manitoba, Winnipeg, Canada; Shared Health Services Manitoba; Department of Immunology, University of Manitoba, Winnipeg, Canada.
| | - Peter W Nickerson
- Department of Medicine, University of Manitoba, Winnipeg, Canada; Shared Health Services Manitoba; Department of Immunology, University of Manitoba, Winnipeg, Canada
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom, and the NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation at the University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom
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17
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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] [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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Lim WH, Ho J, Kosmoliaptsis V, Sapir-Pichhadze R. Editorial: Future challenges and directions in determining allo-immunity in kidney transplantation. Front Immunol 2022; 13:1013711. [PMID: 36119031 PMCID: PMC9473680 DOI: 10.3389/fimmu.2022.1013711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Wai H. Lim
- Department of Renal Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
- *Correspondence: Wai H. Lim,
| | - Julie Ho
- Department of Internal Medicine University of Manitoba, Winnipeg, MB, Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB, Canada
- Transplant Manitoba Adult Kidney Program, Transplant Manitoba, Shared Health Manitoba, Winnipeg, MB, Canada
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, United Kingdom
- Blood and Transplant Research Unit in Organ Donation and Transplantation, National Institute for Health Research, University of Cambridge, Cambridge, United Kingdom
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, QC, Canada
- Division of Nephrology and Multi-Organ Transplant Program, Department of Medicine, McGill University, Montreal, QC, Canada
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19
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Combined Analysis of HLA Class II Eplet Mismatch and Tacrolimus Levels for the Prediction of De Novo Donor Specific Antibody Development in Kidney Transplant Recipients. Int J Mol Sci 2022; 23:ijms23137357. [PMID: 35806362 PMCID: PMC9267119 DOI: 10.3390/ijms23137357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 02/05/2023] Open
Abstract
We investigated whether HLA class II eplet mismatch was related to dnDSA development and analyzed its combined impact with tacrolimus levels for kidney transplantation outcomes. A total of 347 kidney transplants were included. HLA Matchmaker was used for the single molecular eplet, total eplet, antibody (Ab)-verified eplet mismatch analyses, and Ab-verified single molecular analysis to identify HLA-DR/DQ molecular thresholds for the risk of dnDSA development. A time-weighted tacrolimus trough level (TAC-C0) of 5 ng/mL and a TAC-C0 time-weighted coefficient variability (TWCV) of 20% were applied to find the combined effects on dnDSA development. A high level of mismatch for single molecular eplet (DQ ≥ 10), total eplet (DQ ≥ 12), Ab-verified eplet (DQ ≥ 4), and Ab-verified single molecular eplet (DQ ≥ 4) significantly correlated with HLA class II dnDSA development. Class II dnDSA developed mostly in patients with low TAC-C0 and high eplet mismatch. In the multivariable analyses, low TAC-C0 and high eplet mismatch showed the highest hazard ratio for the development of dnDSA. No significant combined effect was observed in dnDSA development according to TWCV. In conclusion, the determination of HLA class II eplet mismatch may improve the risk stratification for dnDSA development, especially in conjunction with tacrolimus trough levels.
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20
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Charnaya O, Levy Erez D, Amaral S, Monos DS. Pediatric Kidney Transplantation-Can We Do Better? The Promise and Limitations of Epitope/Eplet Matching. Front Pediatr 2022; 10:893002. [PMID: 35722502 PMCID: PMC9204054 DOI: 10.3389/fped.2022.893002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/16/2022] [Indexed: 12/02/2022] Open
Abstract
Kidney transplant is the optimal treatment for end-stage kidney disease as it offers significant survival and quality of life advantages over dialysis. While recent advances have significantly improved early graft outcomes, long-term overall graft survival has remained largely unchanged for the last 20 years. Due to the young age at which children receive their first transplant, most children will require multiple transplants during their lifetime. Each subsequent transplant becomes more difficult because of the development of de novo donor specific HLA antibodies (dnDSA), thereby limiting the donor pool and increasing mortality and morbidity due to longer time on dialysis awaiting re-transplantation. Secondary prevention of dnDSA through increased post-transplant immunosuppression in children is constrained by a significant risk for viral and oncologic complications. There are currently no FDA-approved therapies that can meaningfully reduce dnDSA burden or improve long-term allograft outcomes. Therefore, primary prevention strategies aimed at reducing the risk of dnDSA formation would allow for the best possible long-term allograft outcomes without the adverse complications associated with over-immunosuppression. Epitope matching, which provides a more nuanced assessment of immunological compatibility between donor and recipient, offers the potential for improved donor selection. Although epitope matching is promising, it has not yet been readily applied in the clinical setting. Our review will describe current strengths and limitations of epitope matching software, the evidence for and against improved outcomes with epitope matching, discussion of eplet load vs. variable immunogenicity, and conclude with a discussion of the delicate balance of improving matching without disadvantaging certain populations.
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Affiliation(s)
- Olga Charnaya
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Daniella Levy Erez
- Schneider Children's Medical Center, Institute of Pediatric Nephrology, Petah Tikvah, Israel
- Departments of Pediatric Nephrology and Biostatistics, Epidemiology and Informatics, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sandra Amaral
- Departments of Pediatric Nephrology and Biostatistics, Epidemiology and Informatics, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Dimitrios S. Monos
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Sageshima J, Chandar J, Chen LJ, Shah R, Al Nuss A, Vincenzi P, Morsi M, Figueiro J, Vianna R, Ciancio G, Burke GW. How to Deal With Kidney Retransplantation-Second, Third, Fourth, and Beyond. Transplantation 2022; 106:709-721. [PMID: 34310100 DOI: 10.1097/tp.0000000000003888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Kidney transplantation is the best health option for patients with end-stage kidney disease. Ideally, a kidney transplant would last for the lifetime of each recipient. However, depending on the age of the recipient and details of the kidney transplant, there may be a need for a second, third, fourth, or even more kidney transplants. In this overview, the outcome of multiple kidney transplants for an individual is presented. Key issues include surgical approach and immunologic concerns. Included in the surgical approach is an analysis of transplant nephrectomy, with indications, timing, and immunologic impact. Allograft thrombosis, whether related to donor or recipient factors merits investigation to prevent it from happening again. Other posttransplant events such as rejection, viral illness (polyomavirus hominis type I), recurrent disease (focal segmental glomerulosclerosis), and posttransplant lymphoproliferative disease may lead to the need for retransplantation. The pediatric recipient is especially likely to need a subsequent kidney transplant. Finally, noncompliance/nonadherence can affect both adults and children. Innovative approaches may reduce the need for retransplantation in the future.
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Affiliation(s)
- Junichiro Sageshima
- Division of Transplant Surgery, Department of Surgery, University of California Davis School of Medicine, Sacramento, CA
| | - Jayanthi Chandar
- Division of Pediatric Kidney Transplantation, Department of Pediatrics, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Linda J Chen
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Rushi Shah
- Surgical Transplant Fellow, Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Ammar Al Nuss
- Surgical Transplant Fellow, Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Paolo Vincenzi
- Surgical Transplant Fellow, Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Mahmoud Morsi
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Jose Figueiro
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Rodrigo Vianna
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
- Division of Liver and GI Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Gaetano Ciancio
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
| | - George W Burke
- Division of Kidney-Pancreas Transplantation, Department of Surgery, Miami Transplant Institute, University of Miami Miller School of Medicine, Miami, FL
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22
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Bekbolsynov D, Mierzejewska B, Khuder S, Ekwenna O, Rees M, Green RC, Stepkowski SM. Improving Access to HLA-Matched Kidney Transplants for African American Patients. Front Immunol 2022; 13:832488. [PMID: 35401566 PMCID: PMC8989073 DOI: 10.3389/fimmu.2022.832488] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/02/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction Kidney transplants fail more often in Black than in non-Black (White, non-Black Hispanic, and Asian) recipients. We used the estimated physicochemical immunogenicity for polymorphic amino acids of donor/recipient HLAs to select weakly immunogenic kidney transplants for Black vs. White or non-Black patients. Methods OPTN data for 65,040 donor/recipient pairs over a 20-year period were used to calculate the individual physicochemical immunogenicity by hydrophobic, electrostatic and amino acid mismatch scores (HMS, EMS, AMS) and graft-survival outcomes for Black vs. White or vs. non-Black recipients, using Kaplan-Meier survival and Cox regression analyses. Simulations for re-matching recipients with donors were based on race-adjusted HMS thresholds with clinically achievable allocations. Results The retrospective median kidney graft survival was 12.0 years in Black vs. 18.6 years in White (6.6-year difference; p>0.001) and 18.4 years in non-Black (6.4-year difference; p>0.01) recipients. Only 0.7% of Blacks received transplants matched at HLA-A/B/DR/DQ (HMS=0) vs. 8.1% in Whites (p<0.001). Among fully matched Blacks (HMS=0), graft survival was 16.1-years and in well-matched Blacks (HMS ≤ 3.0) it was 14.0-years. Whites had 21.6-years survival at HMS ≤ 3.0 and 18.7-years at HMS ≤ 7.0 whereas non-Blacks had 22.0-year at HMS ≤ 3.0 and 18.7-year at HMS ≤ 7.0, confirming that higher HMS thresholds produced excellent survival. Simulation of ABO-compatible donor-recipient pairs using race-adjusted HMS thresholds identified weakly immunogenic matches at HMS=0 for 6.1% Blacks and 18.0% at HMS ≤ 3.0. Despite prioritizing Black patients, non-Black patients could be matched at the same level as in current allocation (47.0% vs 56.5%, at HMS ≤ 7.0). Conclusions Race-adjusted HMS (EMS, AMS)-based allocation increased the number of weakly immunogenic donors for Black patients, while still providing excellent options for non-Black recipients.
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Affiliation(s)
- Dulat Bekbolsynov
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | - Beata Mierzejewska
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | - Sadik Khuder
- Department of Medicine and Public Health, University of Toledo, Toledo, OH, United States
| | - Obinna Ekwenna
- Department of Urology, College of Medicine, University of Toledo, Toledo, OH, United States
| | - Michael Rees
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
- Department of Urology, College of Medicine, University of Toledo, Toledo, OH, United States
- The of Alliance for Paired Donation, Maumee, OH, United States
| | - Robert C. Green
- Department of Computer Science, Bowling Green State University, Bowling Green, OH, United States
- *Correspondence: Stanislaw M. Stepkowski, ; Robert C. Green II,
| | - Stanislaw M. Stepkowski
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
- *Correspondence: Stanislaw M. Stepkowski, ; Robert C. Green II,
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Bezstarosti S, Kramer CSM, Franke-van Dijk MEI, Vergunst M, Bakker KH, Uyar-Mercankaya M, Buchli R, Roelen DL, de Fijter JW, Claas FHJ, Heidt S. HLA-DQ-Specific Recombinant Human Monoclonal Antibodies Allow for In-Depth Analysis of HLA-DQ Epitopes. Front Immunol 2022; 12:761893. [PMID: 35069533 PMCID: PMC8782272 DOI: 10.3389/fimmu.2021.761893] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/06/2021] [Indexed: 12/24/2022] Open
Abstract
HLA-DQ donor-specific antibodies (DSA) are the most prevalent type of DSA after renal transplantation and have been associated with eplet mismatches between donor and recipient HLA. Eplets are theoretically defined configurations of surface exposed amino acids on HLA molecules that require verification to confirm that they can be recognized by alloantibodies and are therefore clinically relevant. In this study, we isolated HLA-DQ specific memory B cells from immunized individuals by using biotinylated HLA-DQ monomers to generate 15 recombinant human HLA-DQ specific monoclonal antibodies (mAb) with six distinct specificities. Single antigen bead reactivity patterns were analyzed with HLA-EMMA to identify amino acids that were uniquely shared by the reactive HLA alleles to define functional epitopes which were mapped to known eplets. The HLA-DQB1*03:01-specific mAb LB_DQB0301_A and the HLA-DQB1*03-specific mAb LB_DQB0303_C supported the antibody-verification of eplets 45EV and 55PP respectively, while mAbs LB_DQB0402_A and LB_DQB0602_B verified eplet 55R on HLA-DQB1*04/05/06. For three mAbs, multiple uniquely shared amino acid configurations were identified, warranting further studies to define the inducing functional epitope and corresponding eplet. Our unique set of HLA-DQ specific mAbs will be further expanded and will facilitate the in-depth analysis of HLA-DQ epitopes, which is relevant for further studies of HLA-DQ alloantibody pathogenicity in transplantation.
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Affiliation(s)
- Suzanne Bezstarosti
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands.,Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, Netherlands
| | - Cynthia S M Kramer
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Manon Vergunst
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Kim H Bakker
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Rico Buchli
- Pure Protein LLC, Oklahoma City, OK, United States
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Johan W de Fijter
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, Netherlands
| | - Frans H J Claas
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands.,Eurotransplant Reference Laboratory, Leiden, Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands.,Eurotransplant Reference Laboratory, Leiden, Netherlands
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24
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Johnson AC, Zhang J, Cliff Sullivan H, Wiebe C, Bray R, Gebel H, Larsen CP. hlaR: A rapid and reproducible tool to identify eplet mismatches between transplant donors and recipients. Hum Immunol 2022; 83:248-255. [PMID: 35101308 PMCID: PMC11016307 DOI: 10.1016/j.humimm.2022.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 11/30/2022]
Abstract
Eplet mismatch load, both overall and at the single molecule level, correlates with transplant recipient outcomes. However, precise eplet assessment requires high-resolution HLA typing of both the donor and recipient. Anything less than high-resolution typing requires imputation of HLA types. The currently available methods to identify eplet mismatch are both tedious and demanding. Therefore, we developed a software package and user-friendly web application (hlaR), that simplifies the workflow of eplet analysis, provides functions to impute high-resolution from low-resolution data and calculates both overall and single molecule eplet mismatch for single or multiple donor recipient pairs. Compared to manual assessments using currently available tools (namely, HLAMatchMaker), hlaR resulted in only minimal discrepancy in eplet mismatches (mean absolute difference of 0.56 for class I and 0.86 for class II for unique sum across loci). Additionally, output of the single molecule eplet function compared well to manual calculation, with an average single antigen count increase of 0.19. Importantly, the hlaR tool permits rapid and reproducible imputation and eplet mismatch including comparison between eplet reference tables (e.g. HLAMatchMaker version 2 or 3). Users can import data from a spreadsheet rather than relying on keystroke entry of individual donor and recipient data, thus reducing the risk of data entry errors. The resulting improved scalability of the hlaR tool is highlighted by plotting analysis time against the size of the input dataset. The new hlaR tool can provide eplet mismatch data with a streamlined workflow. With decreased effort from the end user, eplet matching and mismatch load data can be further incorporated into both research and clinical use.
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Affiliation(s)
| | - Joan Zhang
- Department of Surgery, Emory University, United States
| | | | - Chris Wiebe
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Robert Bray
- Department of Pathology, Emory University, United States
| | - Howard Gebel
- Department of Pathology, Emory University, United States
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25
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Yeung MY. Histocompatibility Assessment in Precision Medicine for Transplantation: Towards a Better Match. Semin Nephrol 2022; 42:44-62. [DOI: 10.1016/j.semnephrol.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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26
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Implementation of molecular matching in transplantation requires further characterization of both immunogenicity and antigenicity of individual HLA epitopes. Hum Immunol 2021; 83:256-263. [PMID: 34963506 DOI: 10.1016/j.humimm.2021.12.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/10/2021] [Accepted: 12/15/2021] [Indexed: 02/08/2023]
Abstract
Over the past decade, high HLA epitope mismatch scores have been associated with inferior transplant outcomes using several tools, of which HLAMatchmaker is most well-known. This software uses theoretically defined polymorphic amino acid configurations, called eplets, for HLA compatibility analysis. Although consideration of eplet mismatch loads has potential for immunological risk stratification of transplant patients, the use of eplet matching in organ allocation algorithms is hindered by lacking knowledge of the immunogenicity of individual eplets, and the possibility that single mismatched amino acids, rather than complete eplets, are responsible for HLA antibody induction. There are several approaches to define eplet immunogenicity, such as antibody verification of individual eplets, and data-driven approaches using large datasets that correlate specific eplet mismatches to donor specific antibody formation or inferior transplant outcomes. Data-driven approaches can also be used to define whether single amino acid mismatches may be more informative than eplet mismatches for predicting HLA antibody induction. When using epitope knowledge for the assignment of unacceptable antigens, it important to realize that alleles sharing an eplet to which antibodies have formed are not automatically all unacceptable since multiple contact sites determine the binding strength and thus biological function and pathogenicity of an antibody, which may differ between reactive alleles. While the future looks bright for using HLA epitopes in clinical decision making, major steps need to be taken to make this a clinical reality.
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27
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Lim WH, Adams B, Alexander S, Bouts AHM, Claas F, Collins M, Cornelissen E, Dunckley H, de Jong H, D’Orsogna L, Francis A, Heidt S, Herman J, Holdsworth R, Kausman J, Khalid R, Kim JJ, Kim S, Knops N, Kosmoliaptsis V, Kramer C, Kuypers D, Larkins N, Palmer SC, Prestidge C, Prytula A, Sharma A, Shingde M, Taverniti A, Teixeira-Pinto A, Trnka P, Willis F, Wong D, Wong G. Improve in-depth immunological risk assessment to optimize genetic-compatibility and clinical outcomes in child and adolescent recipients of parental donor kidney transplants: protocol for the INCEPTION study. BMC Nephrol 2021; 22:416. [PMID: 34923958 PMCID: PMC8684542 DOI: 10.1186/s12882-021-02619-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/23/2021] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Parental donor kidney transplantation is the most common treatment option for children and adolescents with kidney failure. Emerging data from observational studies have reported improved short- and medium-term allograft outcomes in recipients of paternal compared to maternal donors. The INCEPTION study aims to identify potential differences in immunological compatibility between maternal and paternal donor kidneys and ascertain how this affects kidney allograft outcomes in children and adolescents with kidney failure.
Methods
This longitudinal observational study will recruit kidney transplant recipients aged ≤18 years who have received a parental donor kidney transplant across 4 countries (Australia, New Zealand, United Kingdom and the Netherlands) between 1990 and 2020. High resolution human leukocyte antigen (HLA) typing of both recipients and corresponding parental donors will be undertaken, to provide an in-depth assessment of immunological compatibility. The primary outcome is a composite of de novo donor-specific anti-HLA antibody (DSA), biopsy-proven acute rejection or allograft loss up to 60-months post-transplantation. Secondary outcomes are de novo DSA, biopsy-proven acute rejection, acute or chronic antibody mediated rejection or Chronic Allograft Damage Index (CADI) score of > 1 on allograft biopsy post-transplant, allograft function, proteinuria and allograft loss. Using principal component analysis and Cox proportional hazards regression modelling, we will determine the associations between defined sets of immunological and clinical parameters that may identify risk stratification for the primary and secondary outcome measures among young people accepting a parental donor kidney for transplantation. This study design will allow us to specifically investigate the relative importance of accepting a maternal compared to paternal donor, for families deciding on the best option for donation.
Discussion
The INCEPTION study findings will explore potentially differential immunological risks of maternal and paternal donor kidneys for transplantation among children and adolescents. Our study will provide the evidence base underpinning the selection of parental donor in order to achieve the best projected long-term kidney transplant and overall health outcomes for children and adolescents, a recognized vulnerable population.
Trial registration
The INCEPTION study has been registered with the Australian New Zealand Clinical Trials Registry, with the trial registration number of ACTRN12620000911998 (14th September 2020).
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28
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Role of HLA molecular mismatch in clinical practice. Hum Immunol 2021; 83:219-224. [PMID: 34887099 DOI: 10.1016/j.humimm.2021.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 10/29/2021] [Accepted: 11/13/2021] [Indexed: 11/20/2022]
Abstract
To date, traditional pre-transplant risk factors have failed to provide accurate risk stratification in transplantation. As a result, the practice of precision medicine remains elusive, resulting in a one-size-fits-all therapeutic approach for most patients. However, recent advancements in the understanding of HLA molecules at the molecular level have revitalized interest in HLA mismatch assessment. This review discusses HLA molecular mismatch as a potential prognostic and predictive biomarker available at the time of transplantation and answers some of the common questions and critiques of this approach. We highlight the retrospective data that supports single molecule risk categorization and explore the next steps required to evaluate its potential in clinical practice.
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29
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Filippone EJ, Gulati R, Farber JL. Noninvasive Assessment of the Alloimmune Response in Kidney Transplantation. Adv Chronic Kidney Dis 2021; 28:548-560. [PMID: 35367023 DOI: 10.1053/j.ackd.2021.08.002] [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: 04/09/2021] [Revised: 05/28/2021] [Accepted: 08/26/2021] [Indexed: 11/11/2022]
Abstract
Transplantation remains the optimal mode of kidney replacement therapy, but unfortunately long-term graft survival after 1 year remains suboptimal. The main mechanism of chronic allograft injury is alloimmune, and current clinical monitoring of kidney transplants includes measuring serum creatinine, proteinuria, and immunosuppressive drug levels. The most important biomarker routinely monitored is human leukocyte antigen (HLA) donor-specific antibodies (DSAs) with the frequency based on underlying immunologic risk. HLA-DSA should be measured if there is graft dysfunction, immunosuppression minimization, or nonadherence. Antibody strength is semiquantitatively estimated as mean fluorescence intensity, with titration studies for equivocal cases and for following response to treatment. Determination of in vitro C1q or C3d positivity or HLA-DSA IgG subclass analysis remains of uncertain significance, but we do not recommend these for routine use. Current evidence does not support routine monitoring of non-HLA antibodies except anti-angiotensin II type 1 receptor antibodies when the phenotype is appropriate. The monitoring of both donor-derived cell-free DNA in blood or gene expression profiling of serum and/or urine may detect subclinical rejection, although mainly as a supplement and not as a replacement for biopsy. The optimal frequency and cost-effectiveness of using these noninvasive assays remain to be determined. We review the available literature and make recommendations.
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30
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Kim SG, Hong S, Lee H, Eum SH, Kim YS, Jin K, Han S, Yang CW, Park WY, Chung BH. Impact of delayed graft function on clinical outcomes in highly sensitized patients after deceased-donor kidney transplantation. KOREAN JOURNAL OF TRANSPLANTATION 2021; 35:149-160. [PMID: 35769252 PMCID: PMC9235446 DOI: 10.4285/kjt.21.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/18/2021] [Accepted: 09/18/2021] [Indexed: 11/24/2022] Open
Abstract
Background We investigated whether the development of delayed graft function (DGF) in pre-sensitized patients affects the clinical outcomes after deceased-donor kidney transplantation (DDKT). Methods The study included 709 kidney transplant recipients (KTRs) from three transplant centers. We divided KTRs into four subgroups (highly sensitized DGF, highly sensitized non-DGF, low-sensitized DGF, and low-sensitized non-DGF) according to panel reactive antibody level of 50%, or DGF development. We compared post-transplant clinical outcomes among the four subgroups. Results Incidence of biopsy-proven acute rejection (BPAR) was higher in two highly sensitized subgroups than in low-sensitized subgroups. It tended to be higher in highly sensitized DGF subgroups than in the highly sensitized non-DGF subgroups. In addition, the highly sensitized DGF subgroup showed the highest risk for BPAR (hazard ratio, 3.051; P=0.005) and independently predicted BPAR. Allograft function was lower in the two DGF subgroups than in the non-DGF subgroup until one month after transplantation, but thereafter it was similar. Death-censored graft loss rates and patient mortality tended to be low when DGF developed, but it did not reach statistical significance. Conclusions DGF development in highly sensitized patients increases the risk for BPAR in DDKT compared with patients without DGF, suggesting the need for strict monitoring and management of such cases.
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Affiliation(s)
- Seong Gyu Kim
- Division of Nephrology, Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Suyeon Hong
- Transplantation Research Center, Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hanbi Lee
- Transplantation Research Center, Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sang Hun Eum
- Transplantation Research Center, Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Young Soo Kim
- Division of Nephrology, Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Kyubok Jin
- Division of Nephrology, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Seungyeop Han
- Division of Nephrology, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Chul Woo Yang
- Transplantation Research Center, Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Woo Yeong Park
- Division of Nephrology, Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Byung Ha Chung
- Transplantation Research Center, Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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31
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Epitope-Level Matching—A Review of the Novel Concept of Eplets in Transplant Histocompatibility. TRANSPLANTOLOGY 2021. [DOI: 10.3390/transplantology2030033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The development of de novo donor-specific antibodies is related to the poor matching of the human leukocyte antigen (HLA) between donor and recipient, which leads to dismal clinical outcomes and graft loss. However, new approaches that stratify the risks of long-term graft failure in solid organ transplantation have emerged, changing the paradigm of HLA compatibility. In addition, advances in software development have given rise to a new structurally based algorithm known as HLA Matchmaker, which determines compatibility at the epitope rather than the antigen level. Although this technique still has limitations, plenty of research maintains that this assessment represents a more complete and detailed definition of HLA compatibility. This review summarizes recent aspects of eplet mismatches, highlighting the most recent advances and future research directions.
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32
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Brunker PAR, Pattanayak V, Mahowald GK. Finding platelets: Don't let the perfect be the enemy of the good. Transfusion 2021; 61:2223-2228. [PMID: 34365668 DOI: 10.1111/trf.16586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 06/30/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Patricia A R Brunker
- Blood Transfusion Service, Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Vikram Pattanayak
- Histocompatibility Laboratory, Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Grace K Mahowald
- Histocompatibility Laboratory, Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
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33
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Vittoraki AG, Fylaktou A, Tarassi K, Tsinaris Z, Siorenta A, Petasis GC, Gerogiannis D, Lehmann C, Carmagnat M, Doxiadis I, Iniotaki AG, Theodorou I. Hidden Patterns of Anti-HLA Class I Alloreactivity Revealed Through Machine Learning. Front Immunol 2021; 12:670956. [PMID: 34386000 PMCID: PMC8353326 DOI: 10.3389/fimmu.2021.670956] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 07/12/2021] [Indexed: 11/13/2022] Open
Abstract
Detection of alloreactive anti-HLA antibodies is a frequent and mandatory test before and after organ transplantation to determine the antigenic targets of the antibodies. Nowadays, this test involves the measurement of fluorescent signals generated through antibody-antigen reactions on multi-beads flow cytometers. In this study, in a cohort of 1,066 patients from one country, anti-HLA class I responses were analyzed on a panel of 98 different antigens. Knowing that the immune system responds typically to "shared" antigenic targets, we studied the clustering patterns of antibody responses against HLA class I antigens without any a priori hypothesis, applying two unsupervised machine learning approaches. At first, the principal component analysis (PCA) projections of intra-locus specific responses showed that anti-HLA-A and anti-HLA-C were the most distantly projected responses in the population with the anti-HLA-B responses to be projected between them. When PCA was applied on the responses against antigens belonging to a single locus, some already known groupings were confirmed while several new cross-reactive patterns of alloreactivity were detected. Anti-HLA-A responses projected through PCA suggested that three cross-reactive groups accounted for about 70% of the variance observed in the population, while anti-HLA-B responses were mainly characterized by a distinction between previously described Bw4 and Bw6 cross-reactive groups followed by several yet undocumented or poorly described ones. Furthermore, anti-HLA-C responses could be explained by two major cross-reactive groups completely overlapping with previously described C1 and C2 allelic groups. A second feature-based analysis of all antigenic specificities, projected as a dendrogram, generated a robust measure of allelic antigenic distances depicting bead-array defined cross reactive groups. Finally, amino acid combinations explaining major population specific cross-reactive groups were described. The interpretation of the results was based on the current knowledge of the antigenic targets of the antibodies as they have been characterized either experimentally or computationally and appear at the HLA epitope registry.
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Affiliation(s)
- Angeliki G Vittoraki
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Asimina Fylaktou
- National Peripheral Histocompatibility Center, Immunology Department, Hippokration General Hospital, Thessaloniki, Greece
| | - Katerina Tarassi
- Immunology-Histocompatibility Department, "Evangelismos" General Hospital, Athens, Greece
| | - Zafeiris Tsinaris
- National Peripheral Histocompatibility Center, Immunology Department, Hippokration General Hospital, Thessaloniki, Greece
| | - Alexandra Siorenta
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - George Ch Petasis
- National Peripheral Histocompatibility Center, Immunology Department, Hippokration General Hospital, Thessaloniki, Greece
| | - Demetris Gerogiannis
- Department of Computer Science & Engineering , University of Ioannina, Ioannina, Greece
| | - Claudia Lehmann
- Laboratory for Transplantation Immunology, Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | | | - Ilias Doxiadis
- Laboratory for Transplantation Immunology, Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Aliki G Iniotaki
- Nephrology and Transplantation Unit, Medical School of Athens, Laikon Hospital, Athens, Greece
| | - Ioannis Theodorou
- Laboratoire d'Immunologie, Hôpital St. Louis, Paris, France.,Centre d'Immunologie et des Maladies Infectieuses UPMC UMRS CR7-Inserm U1135-CNRS ERL, Paris, France
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34
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Naef B, Nilsson J, Wuethrich RP, Mueller TF, Schachtner T. Intravenous immunoglobulins do not prove beneficial to reduce alloimmunity among kidney transplant recipients with BKV-associated nephropathy. Transpl Int 2021; 34:1481-1493. [PMID: 33872427 DOI: 10.1111/tri.13882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/18/2021] [Accepted: 04/10/2021] [Indexed: 12/18/2022]
Abstract
Reduced immunosuppression during BKV-DNAemia has been associated with T-cell mediated rejection (TCMR), de novo donor-specific antibodies (DSA) and antibody-mediated rejection (ABMR). Intravenous immunoglobulins (IVIG) may reduce alloimmunity. We studied 860 kidney transplant recipients (KTRs) for the development of BKV-DNAuria and BKV-DNAemia (low-level <10 000 IE/ml, high-level >10 000 IE/ml). 52/131 KTRs with high-level BKV-DNAemia received IVIG. The HLA-related immunological risk was stratified by the Predicted Indirectly Recognizable HLA Epitopes (PIRCHE) algorithm. BKV-DNAuria only was observed in 86 KTRs (10.0%), low-level BKV-DNAemia in 180 KTRs (20.9%) and high-level BKV-DNAemia in 131 KTRs (15.2%). KTRs with low-level BKV-DNAemia showed significantly less TCMR compared to KTRs with high-level BKV-DNAemia (5.2% vs. 25.5%; P < 0.001) and no BKV-replication (13.2%; P = 0.014), lowest rates of de novo DSA (21.3%), ABMR (9.2%) and flattest glomerular filtration rate (GFR) slope (-0.8 ml/min). KTRs with low-level BKV-DNAemia showed significantly higher median (interquartile range) total PIRCHE if they developed TCMR [100.22 (72.6) vs. 69.52 (49.97); P = 0.020] or ABMR [128.86 (52.99) vs. 69.52 (49.96); P = 0.005]. Administration of IVIG did not shorten duration of BKV-DNAemia (P = 0.798) or reduce TCMR, de novo DSA and ABMR (P > 0.05). KTRs with low-level BKV-DNAemia showed best protection against alloimmunity, with a high number of PIRCHE co-determining the remaining risk. The administration of IVIG, however, was not beneficial in reducing alloimmunity.
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Affiliation(s)
- Bettina Naef
- Division of Nephrology, University Hospital Zurich, Zurich, Switzerland
| | - Jakob Nilsson
- Division of Immunology, University Hospital Zurich, Zurich, Switzerland
| | | | - Thomas F Mueller
- Division of Nephrology, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Schachtner
- Division of Nephrology, University Hospital Zurich, Zurich, Switzerland
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35
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Tran JN, Günther OP, Sherwood KR, Fenninger F, Allan LL, Lan J, Sapir-Pichhadze R, Duquesnoy R, Claas F, Marsh SGE, McMaster WR, Keown PA. High-throughput sequencing defines donor and recipient HLA B-cell epitope frequencies for prospective matching in transplantation. Commun Biol 2021; 4:583. [PMID: 33990681 PMCID: PMC8121953 DOI: 10.1038/s42003-021-01989-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 03/08/2021] [Indexed: 11/18/2022] Open
Abstract
Compatibility for human leukocyte antigen (HLA) genes between transplant donors and recipients improves graft survival but prospective matching is rarely performed due to the vast heterogeneity of this gene complex. To reduce complexity, we have combined next-generation sequencing and in silico mapping to determine transplant population frequencies and matching probabilities of 150 antibody-binding eplets across all 11 classical HLA genes in 2000 ethnically heterogeneous renal patients and donors. We show that eplets are more common and uniformly distributed between donors and recipients than the respective HLA isoforms. Simulations of targeted eplet matching shows that a high degree of overall compatibility, and perfect identity at the clinically important HLA class II loci, can be obtained within a patient waiting list of approximately 250 subjects. Internal epitope-based allocation is thus feasible for most major renal transplant programs, while regional or national sharing may be required for other solid organs. Tran et al. combine high throughput sequencing, structural biology and computational simulation to determine the HLA allele and antibody-defined epitope frequencies in renal transplant patients and donors. These results demonstrate the feasibility of HLA epitope matching using data from a national transplantation program.
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Affiliation(s)
- Jenny N Tran
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Karen R Sherwood
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Franz Fenninger
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lenka L Allan
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - James Lan
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Rene Duquesnoy
- Department of Pathology, University of Pittsburgh, Pennsylvania, PA, USA
| | - Frans Claas
- Department of Immunohematology and Blood Transfusion, University of Leiden, Leiden, Netherlands
| | - Steven G E Marsh
- Anthony Nolan Research Institute and UCL Cancer Institute, Royal Free Campus, London, UK
| | - W Robert McMaster
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,Infection and Immunity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Paul A Keown
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada. .,Department of Medicine, University of British Columbia, Vancouver, BC, Canada. .,Infection and Immunity Research Centre, University of British Columbia, Vancouver, BC, Canada.
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Elango M, Papalois V. Working towards an ERAS Protocol for Pancreatic Transplantation: A Narrative Review. J Clin Med 2021; 10:1418. [PMID: 33915899 PMCID: PMC8036565 DOI: 10.3390/jcm10071418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 03/24/2021] [Accepted: 03/27/2021] [Indexed: 12/11/2022] Open
Abstract
Enhanced recovery after surgery (ERAS) initially started in the early 2000s as a series of protocols to improve the perioperative care of surgical patients. They aimed to increase patient satisfaction while reducing postoperative complications and postoperative length of stay. Despite these protocols being widely adopted in many fields of surgery, they are yet to be adopted in pancreatic transplantation: a high-risk surgery with often prolonged length of postoperative stay and high rate of complications. We have analysed the literature in pancreatic and transplantation surgery to identify the necessary preoperative, intra-operative and postoperative components of an ERAS pathway in pancreas transplantation.
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Affiliation(s)
- Madhivanan Elango
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK;
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Meneghini M, Crespo E, Niemann M, Torija A, Lloberas N, Pernin V, Fontova P, Melilli E, Favà A, Montero N, Manonelles A, Cruzado JM, Palou E, Martorell J, Grinyó JM, Bestard O. Donor/Recipient HLA Molecular Mismatch Scores Predict Primary Humoral and Cellular Alloimmunity in Kidney Transplantation. Front Immunol 2021; 11:623276. [PMID: 33776988 PMCID: PMC7988214 DOI: 10.3389/fimmu.2020.623276] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 12/31/2020] [Indexed: 12/28/2022] Open
Abstract
Donor/recipient molecular human leukocyte antigen (HLA) mismatch predicts primary B-cell alloimmune activation, yet the impact on de novo donor-specific T-cell alloimmunity (dnDST) remains undetermined. The hypothesis of our study is that donor/recipient HLA mismatches assessed at the molecular level may also influence a higher susceptibility to the development of posttransplant primary T-cell alloimmunity. In this prospective observational study, 169 consecutive kidney transplant recipients without preformed donor-specific antibodies (DSA) and with high resolution donor/recipient HLA typing were evaluated for HLA molecular mismatch scores using different informatic algorithms [amino acid mismatch, eplet MM, and Predicted Indirectly Recognizable HLA Epitopes (PIRCHE-II)]. Primary donor-specific alloimmune activation over the first 2 years posttransplantation was assessed by means of both dnDSA and dnDST using single antigen bead (SAB) and IFN-γ ELISPOT assays, respectively. Also, the predominant alloantigen presenting pathway priming DST alloimmunity and the contribution of main alloreactive T-cell subsets were further characterized in vitro. Pretransplantation, 78/169 (46%) were DST+ whereas 91/169 (54%) DST−. At 2 years, 54/169 (32%) patients showed detectable DST responses: 23/54 (42%) dnDST and 31/54 (57%) persistently positive (persistDST+). 24/169 (14%) patients developed dnDSA. A strong correlation was observed between the three distinct molecular mismatch scores and they all accurately predicted dnDSA formation, in particular at the DQ locus. Likewise, HLA molecular incompatibility predicted the advent of dnDST, especially when assessed by PIRCHE-II score (OR 1.014 95% CI 1.001–1.03, p=0.04). While pretransplant DST predicted the development of posttransplant BPAR (OR 5.18, 95% CI=1.64–16.34, p=0.005) and particularly T cell mediated rejection (OR 5.33, 95% CI=1.45–19.66, p=0.012), patients developing dnDST were at significantly higher risk of subsequent dnDSA formation (HR 2.64, 95% CI=1.08–6.45, p=0.03). In vitro experiments showed that unlike preformed DST that is predominantly primed by CD8+ direct pathway T cells, posttransplant DST may also be activated by the indirect pathway of alloantigen presentation, and predominantly driven by CD4+ alloreactive T cells in an important proportion of patients. De novo donor-specific cellular alloreactivity seems to precede subsequent humoral alloimmune activation and is influenced by a poor donor/recipient HLA molecular matching.
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Affiliation(s)
- Maria Meneghini
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain.,Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Elena Crespo
- Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | | | - Alba Torija
- Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Nuria Lloberas
- Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Vincent Pernin
- Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain.,Department of Nephrology, Dialysis and Transplantation, Montpellier University Hospital, Montpellier, France.,Institute for Regenerative Medicine & Biotherapy (IRMB), University of Montpellier, INSERM, Montpellier, France
| | - Pere Fontova
- Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Edoardo Melilli
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain
| | - Alexandre Favà
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain.,Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Nuria Montero
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain
| | - Anna Manonelles
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain
| | - Josep Maria Cruzado
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain.,Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Eduard Palou
- Laboratory of Immunology and Histocompatibility, Hospital Clinic, Barcelona, Spain
| | - Jaume Martorell
- Laboratory of Immunology and Histocompatibility, Hospital Clinic, Barcelona, Spain
| | - Josep Maria Grinyó
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain.,Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Oriol Bestard
- Kidney Transplant Unit, Nephrology Department, Bellvitge University Hospital, Barcelona, Spain.,Translational Transplantation and Nephrology Laboratory, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
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38
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Wen J, Basu A, Bentall A, Henderson N, Dukek B, Gandhi M, Schinstock C. Is the level of HLA eplet mismatch a risk factor for graft loss among kidney transplant recipients who have already formed de novo donor specific antibody? Hum Immunol 2021; 82:240-246. [PMID: 33618904 DOI: 10.1016/j.humimm.2021.02.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/28/2021] [Accepted: 02/08/2021] [Indexed: 10/22/2022]
Abstract
Eplet mismatches are associated with de novo DSA (dnDSA) and antibody mediated rejection (ABMR) among the general kidney transplant population. However, it is unclear whether the level of eplet mismatch can be used for risk stratification among patients with dnDSA. We performed a retrospective observational study of kidney transplant recipients with dnDSA (n = 44) transplanted between 10/2007 and 5/2014 to evaluate eplet mismatch as a risk factor for ABMR and allograft loss among dnDSA patients. High resolution typing was inferred from by imputation based on ethnicity and NMDP haplotypes, and the eplet mismatch was calculated using the Epvix algorithm. Biopsies (N = 151) from 95.3%(42/44) of patients were reviewed. The mean (SD) eplet mismatch was 69.8(22.8). The ABMR incidence was 71.4% (30/42) and 5 year death censored allograft survival was 67.4% during the mean (SD) follow-up of 5.3 (3.1) years. ABMR and death-censored allograft survival were not correlated with eplet mismatch among dnDSA patients. However, medication adherence and dnDSA MFI < 3000 were associated with reduced ABMR incidence. Among patients with both of these favorable characteristics, only 35.7% (15/42) developed ABMR. In conclusion, the level of eplet mismatch does not correlate with ABMR or allograft loss among high risk kidney transplant patients with dnDSA.
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Affiliation(s)
- Jiqiu Wen
- Jinling Hospital, Nanjing University School of Medicine, China
| | - Arpita Basu
- Emory Transplant Center and Division of Nephrology and Hypertension, Emory University School of Medicine, Atlanta, GA, United States
| | - Andrew Bentall
- William J. von Liebig Transplant Center, Mayo Clinic, Rochester, MN, United States
| | - Nicole Henderson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Brian Dukek
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Manish Gandhi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Carrie Schinstock
- William J. von Liebig Transplant Center, Mayo Clinic, Rochester, MN, United States.
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Aziz F, Tiwari A, Patel H, Chauhan R. Pretransplant histocompatibility testing algorithm: Laboratory and clinical approach in the Indian context. INDIAN JOURNAL OF TRANSPLANTATION 2021. [DOI: 10.4103/ijot.ijot_82_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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40
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Kramer CSM, Franke‐van Dijk MEI, Bakker KH, Uyar‐Mercankaya M, Karahan GE, Roelen DL, Claas FHJ, Heidt S. Generation and reactivity analysis of human recombinant monoclonal antibodies directed against epitopes on HLA-DR. Am J Transplant 2020; 20:3341-3353. [PMID: 32342632 PMCID: PMC7754395 DOI: 10.1111/ajt.15950] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/17/2020] [Accepted: 04/20/2020] [Indexed: 01/25/2023]
Abstract
In kidney transplantation, eplet mismatches between donor and recipient have been associated with de novo donor-specific antibody development. Eplets are theoretically defined configurations of polymorphic amino acids and require experimental verification to establish whether they can be bound by alloantibodies. Human HLA-specific monoclonal antibodies (mAbs) have been instrumental for this purpose but are largely lacking for HLA class II. In this study, we isolated single HLA-DR-specific memory B cells from peripheral blood of immunized individuals (n = 3) using HLA class II tetramers to generate recombinant human HLA-DR antigen-reactive mAbs (n = 5). Comparison of the amino acid composition of the reactive HLA alleles in relation to the antibody reactivity patterns led to identification of 3 configurations, 70Q 73A, 31F 32Y 37Y, and 14K 25Q recognized, respectively, by HLA-DRB1*01:01, HLA-DRB1*04:01, and HLA-DRB1*07:01 antigen-reactive mAbs. The first 2 correspond to eplets 70QA and 31FYY and can now be considered antibody verified. The latter indicates that eplet 25Q needs to be redefined before being considered as antibody verified. Generation and reactivity analysis of human HLA-DR mAbs allowed for identification of amino acid configurations corresponding to known eplets, whereas the other patterns may be used to redefine eplets with similar, but not identical predicted amino acid composition.
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Affiliation(s)
- Cynthia S. M. Kramer
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | | | - Kim H. Bakker
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | - Merve Uyar‐Mercankaya
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | - Gonca E. Karahan
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | - Dave L. Roelen
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | - Frans H. J. Claas
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
| | - Sebastiaan Heidt
- Department of Immunohematology and Blood TransfusionLeiden University Medical CentreLeidenThe Netherlands
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41
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Bekbolsynov D, Mierzejewska B, Borucka J, Liwski RS, Greenshields AL, Breidenbach J, Gehring B, Leonard-Murali S, Khuder SA, Rees M, Green RC, Stepkowski SM. Low Hydrophobic Mismatch Scores Calculated for HLA-A/B/DR/DQ Loci Improve Kidney Allograft Survival. Front Immunol 2020; 11:580752. [PMID: 33193383 PMCID: PMC7659444 DOI: 10.3389/fimmu.2020.580752] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/02/2020] [Indexed: 12/17/2022] Open
Abstract
We evaluated the impact of human leukocyte antigen (HLA) disparity (immunogenicity; IM) on long-term kidney allograft survival. The IM was quantified based on physicochemical properties of the polymorphic linear donor/recipient HLA amino acids (the Cambridge algorithm) as a hydrophobic, electrostatic, amino acid mismatch scores (HMS\AMS\EMS) or eplet mismatch (EpMM) load. High-resolution HLA-A/B/DRB1/DQB1 types were imputed to calculate HMS for primary/re-transplant recipients of deceased donor transplants. The multiple Cox regression showed the association of HMS with graft survival and other confounders. The HMS integer 0–10 scale showed the most survival benefit between HMS 0 and 3. The Kaplan–Meier analysis showed that: the HMS=0 group had 18.1-year median graft survival, a 5-year benefit over HMS>0 group; HMS ≤ 3.0 had 16.7-year graft survival, a 3.8-year better than HMS>3.0 group; and, HMS ≤ 7.8 had 14.3-year grafts survival, a 1.8-year improvement over HMS>7.8 group. Stratification based on EMS, AMS or EpMM produced similar results. Additionally, the importance of HLA-DR with/without -DQ IM for graft survival was shown. In our simulation of 1,000 random donor/recipient pairs, 75% with HMS>3.0 were re-matched into HMS ≤ 3.0 and the remaining 25% into HMS≥7.8: after re-matching, the 13.5 years graft survival would increase to 16.3 years. This approach matches donors to recipients with low/medium IM donors thus preventing transplants with high IM donors.
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Affiliation(s)
- Dulat Bekbolsynov
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | - Beata Mierzejewska
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | | | - Robert S Liwski
- Department of Pathology, Dalhousie University, Halifax, NS, Canada
| | | | - Joshua Breidenbach
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | - Bradley Gehring
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
| | | | - Sadik A Khuder
- Department of Medicine and Public Health, University of Toledo, Toledo, OH, United States
| | - Michael Rees
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States.,Department of Urology, University of Toledo College of Medicine, Toledo, OH, United States.,The Alliance for Paired Donation, Maumee, OH, United States
| | - Robert C Green
- Department of Computer Science, Bowling Green State University, Bowling Green, OH, United States
| | - Stanislaw M Stepkowski
- Department of Medical Microbiology and Immunology, University of Toledo, Toledo, OH, United States
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Tambur AR, Campbell P, Chong AS, Feng S, Ford ML, Gebel H, Gill RG, Kelsoe G, Kosmoliaptsis V, Mannon RB, Mengel M, Reed EF, Valenzuela NM, Wiebe C, Dijke IE, Sullivan HC, Nickerson P. Sensitization in transplantation: Assessment of risk (STAR) 2019 Working Group Meeting Report. Am J Transplant 2020; 20:2652-2668. [PMID: 32342639 PMCID: PMC7586936 DOI: 10.1111/ajt.15937] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 04/01/2020] [Accepted: 04/20/2020] [Indexed: 01/25/2023]
Abstract
The purpose of the STAR 2019 Working Group was to build on findings from the initial STAR report to further clarify the expectations, limitations, perceptions, and utility of alloimmune assays that are currently in use or in development for risk assessment in the setting of organ transplantation. The goal was to determine the precision and clinical feasibility/utility of such assays in evaluating both memory and primary alloimmune risks. The process included a critical review of biologically driven, state-of-the-art, clinical diagnostics literature by experts in the field and an open public forum in a face-to-face meeting to promote broader engagement of the American Society of Transplantation and American Society of Histocompatibility and Immunogenetics membership. This report summarizes the literature review and the workshop discussions. Specifically, it highlights (1) available assays to evaluate the attributes of HLA antibodies and their utility both as clinical diagnostics and as research tools to evaluate the effector mechanisms driving rejection; (2) potential assays to assess the presence of alloimmune T and B cell memory; and (3) progress in the development of HLA molecular mismatch computational scores as a potential prognostic biomarker for primary alloimmunity and its application in research trial design.
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Affiliation(s)
- Anat R. Tambur
- Department of SurgeryComprehensive Transplant CenterNorthwestern UniversityChicagoIllinoisUSA
| | - Patricia Campbell
- Department of Laboratory Medicine & PathologyUniversity of AlbertaEdmontonCanada
| | - Anita S. Chong
- Section of TransplantationDepartment of SurgeryThe University of ChicagoChicagoIllinoisUSA
| | - Sandy Feng
- Department of SurgeryUCSF Medical CenterSan FranciscoCaliforniaUSA
| | - Mandy L. Ford
- Department of Surgery and Emory Transplant CenterEmory UniversityAtlantaGeorgiaUSA
| | - Howard Gebel
- Department of PathologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Ronald G. Gill
- Department of ImmunologyUniversity of ColoradoDenverColoradoUSA
| | - Garnett Kelsoe
- Department of ImmunologyDuke University School of MedicineDurhamNorth CarolinaUSA
| | | | - Roslyn B. Mannon
- Department of MedicineDivision of NephrologyUniversity of Alabama School of MedicineBirminghamAlabamaUSA
| | - Michael Mengel
- Department of Laboratory Medicine & PathologyUniversity of AlbertaEdmontonCanada
| | - Elaine F. Reed
- Department of Pathology and Laboratory MedicineDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Nicole M. Valenzuela
- Department of Pathology and Laboratory MedicineDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Chris Wiebe
- Department of MedicineUniversity of ManitobaWinnipegManitobaCanada
| | - I. Esme Dijke
- Department of Laboratory Medicine & PathologyUniversity of AlbertaEdmontonCanada
| | - Harold C. Sullivan
- Department of PathologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Peter Nickerson
- Department of MedicineUniversity of ManitobaWinnipegManitobaCanada
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Courtwright AM, Kamoun M, Kearns J, Diamond JM, Golberg HJ. The impact of HLA-DR mismatch status on retransplant-free survival and bronchiolitis obliterans syndrome‒free survival among sensitized lung transplant recipients. J Heart Lung Transplant 2020; 39:1455-1462. [PMID: 33071182 DOI: 10.1016/j.healun.2020.09.016] [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: 07/21/2020] [Revised: 09/16/2020] [Accepted: 09/24/2020] [Indexed: 10/23/2022] Open
Abstract
INTRODUCTION Donor‒recipient HLA-DR locus matching may be protective against bronchiolitis obliterans syndrome (BOS) in lung transplant recipients. It is unknown whether this benefit is more significant among sensitized (calculated panel reactive antibodies (CPRAs) of >0%) and highly sensitized (CPRAs of ≥80%) recipients who may be at a higher risk for BOS. METHODS This was a retrospective cohort study of adults in the Scientific Registry of Transplant Recipients who underwent lung transplantation between May 5, 2005 and May 31, 2019. Retransplant-free survival and BOS-free survival were compared among recipients with 0 vs ≥1 DR mismatches, grouped according to sensitization. RESULTS Among all 20,355 included recipients, 0 DR mismatch status was associated with improved retransplant-free survival (hazard ratio [HR] = 0.83, 95% CI = 0.74-0.93, p = 0.002) and BOS-free survival (HR = 0.86, 95% CI = 0.77-0.96, p = 0.007). Among sensitized recipients, 0 DR mismatch status was also associated with improved retransplant-free survival (HR = 0.79, 95% CI = 0.65-0.97, p = 0.02) and BOS-free survival (HR = 0.82, 95% CI = 0.67-1.00, p = 0.04). There was however no difference in retransplant-free or BOS-free survival between sensitized and non-sensitized recipients with 0 DR mismatches. Among highly sensitized recipients, 0 DR mismatch status was not associated with retransplant-free or BOS-free survival. Among sensitized and highly sensitized recipients, 0 DR mismatch status was not associated with reduced use of plasmapheresis or reduced biopsy-proven, treated acute cellular rejection compared with non-sensitized recipients. CONCLUSIONS HLA-DR matching is associated with a similar improvement in retransplant-free and BOS-free survival among non-sensitized and sensitized lung transplant recipients. DR matching does not confer a more substantial retransplant-free or BOS-free survival benefit to highly sensitized recipients than to non-sensitized recipients.
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Affiliation(s)
- Andrew M Courtwright
- Division of Pulmonary and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Malek Kamoun
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jane Kearns
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joshua M Diamond
- Division of Pulmonary and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hilary J Golberg
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boson, Massachusetts
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45
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Sakamoto S, Iwasaki K, Tomosugi T, Niemann M, Spierings E, Miwa Y, Horimi K, Takeda A, Goto N, Narumi S, Watarai Y, Kobayashi T. Analysis of T and B Cell Epitopes to Predict the Risk of de novo Donor-Specific Antibody (DSA) Production After Kidney Transplantation: A Two-Center Retrospective Cohort Study. Front Immunol 2020; 11:2000. [PMID: 32973806 PMCID: PMC7481442 DOI: 10.3389/fimmu.2020.02000] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/23/2020] [Indexed: 01/25/2023] Open
Abstract
Risk prediction of de novo donor specific antibody (DSA) would be very important for long term graft outcome after organ transplantation. The purpose of this study was to elucidate the association of eplet mismatches and predicted indirectly recognizable HLA epitopes (PIRCHE) scores with de novo DSA production. Our retrospective cohort study enrolled 691 living donor kidney transplantations. HLA-A, B, DRB and DQB eplet mismatches and PIRCHE scores (4 digit of HLA-A, B, DR, and DQ) were determined by HLA matchmaker (ver 2.1) and PIRCHE-II Matching Service, respectively. Weak correlation between eplet mismatches and PIRCHE scores was identified, although both measurements were associated with classical HLA mismatches. Class II (DRB+DQB) eplet mismatches were significantly correlated with the incidence of de novo class II (DR/DQ) DSA production [8/235 (3.4%) in eplet mismatch ≤ 13 vs. 92/456 (20.2%) in eplet mismatch ≥ 14, p < 0.001]. PIRCHE scores were also significantly correlated with de novo class II DSA production [26/318 (8.2%) in PIRCHE ≤ 175 vs. 74/373 (19.8%) in PIRCHE ≥ 176, p < 0.001]. Patients with low levels of both class II eplet mismatches and PIRCHE scores developed de novo class II DSA only in 4/179 (2.2%). Analysis of T cell and B cell epitopes can provide a beneficial information on the design of individualized immunosuppression regimens for prevention of de novo DSA production after kidney transplantation.
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Affiliation(s)
- Shintaro Sakamoto
- Department of Renal Transplant Surgery, Aichi Medical University School of Medicine, Nagakute, Japan.,Department of Histocompatibility Laboratory, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Kenta Iwasaki
- Department of Kidney Diseases and Transplant Immunology, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Toshihide Tomosugi
- Department of Transplant Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | | | - Eric Spierings
- Laboratory of Translational Immunology, UMC Utrecht, Utrecht, Netherlands
| | - Yuko Miwa
- Department of Kidney Diseases and Transplant Immunology, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Kosei Horimi
- Department of Renal Transplant Surgery, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Asami Takeda
- Department of Nephrology, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Norihiko Goto
- Department of Transplant Internal Medicine, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Shunji Narumi
- Department of Transplant Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Yoshihiko Watarai
- Department of Transplant Surgery, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Takaaki Kobayashi
- Department of Renal Transplant Surgery, Aichi Medical University School of Medicine, Nagakute, Japan
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46
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Vittoraki AG, Fylaktou A, Tarassi K, Tsinaris Z, Petasis GC, Gerogiannis D, Kheav VD, Carmagnat M, Lehmann C, Doxiadis I, Iniotaki AG, Theodorou I. Patterns of 1,748 Unique Human Alloimmune Responses Seen by Simple Machine Learning Algorithms. Front Immunol 2020; 11:1667. [PMID: 32849576 PMCID: PMC7399170 DOI: 10.3389/fimmu.2020.01667] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 06/22/2020] [Indexed: 01/15/2023] Open
Abstract
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response marker determining the immunological risk for graft acceptance before and after organ transplantation and therefore routinely studied during the patient's workup. Experimentally, bead bound antigen- antibody reactions are detected using a special multicolor flow cytometer (Luminex). Routinely for each sample, antibody responses against 96 different HLA antigen groups are measured simultaneously and a 96-dimensional immune response vector is created. Under a common experimental protocol, using unsupervised clustering algorithms, we analyzed these immune intensity vectors of anti HLA class II responses from a dataset of 1,748 patients before or after renal transplantation residing in a single country. Each patient contributes only one serum sample in the analysis. A population view of linear correlations of hierarchically ordered fluorescence intensities reveals patterns in human immune responses with striking similarities with the previously described CREGs but also brings new information on the antigenic properties of class II HLA molecules. The same analysis affirms that "public" anti-DP antigenic responses are not correlated to anti DR and anti DQ responses which tend to cluster together. Principal Component Analysis (PCA) projections also demonstrate ordering patterns clearly differentiating anti DP responses from anti DR and DQ on several orthogonal planes. We conclude that a computer vision of human alloresponse by use of several dimensionality reduction algorithms rediscovers proven patterns of immune reactivity without any a priori assumption and might prove helpful for a more accurate definition of public immunogenic antigenic structures of HLA molecules. Furthermore, the use of Eigen decomposition on the Immune Response generates new hypotheses that may guide the design of more effective patient monitoring tests.
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Affiliation(s)
- Angeliki G Vittoraki
- National Tissue Typing Center & Immunology Department, General Hospital of Athens "G.Gennimatas", Athens, Greece
| | - Asimina Fylaktou
- National Peripheral Histocompatibility Center - Immunology Department, Hippokration General Hospital, Thessaloniki, Greece
| | - Katerina Tarassi
- Immunology-Histocompatibility Department, "Evangelismos" General Hospital, Athens, Greece
| | - Zafeiris Tsinaris
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - George Ch Petasis
- National Peripheral Histocompatibility Center - Immunology Department, Hippokration General Hospital, Thessaloniki, Greece
| | - Demetris Gerogiannis
- Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece
| | | | | | - Claudia Lehmann
- Laboratory for Transplantation Immunology, Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Ilias Doxiadis
- Laboratory for Transplantation Immunology, Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Aliki G Iniotaki
- Nephrology and Transplantation Unit, Medical School of Athens, Laikon Hospital, Athens, Greece
| | - Ioannis Theodorou
- Laboratoire d'Immunologie, Hôpital St. Louis, Paris, France.,Centre d'Immunologie et des Maladies Infectieuses UPMC UMRS CR7 - Inserm U1135 - CNRS ERL 8255, Paris, France
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47
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Fiorentino M, Gallo P, Giliberti M, Colucci V, Schena A, Stallone G, Gesualdo L, Castellano G. Management of patients with a failed kidney transplant: what should we do? Clin Kidney J 2020; 14:98-106. [PMID: 33564409 PMCID: PMC7857798 DOI: 10.1093/ckj/sfaa094] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/10/2020] [Indexed: 12/18/2022] Open
Abstract
The number of kidney transplant recipients returning to dialysis after graft failure is steadily increasing over time. Patients with a failed kidney transplant have been shown to have a significant increase in mortality compared with patients with a functioning graft or patients initiating dialysis for the first time. Moreover, the risk for infectious complications, cardiovascular disease and malignancy is greater than in the dialysis population due to the frequent maintenance of low-dose immunosuppression, which is required to reduce the risk of allosensitization, particularly in patients with the prospect of retransplantation from a living donor. The management of these patients present several controversial opinions and clinical guidelines are lacking. This article aims to review the leading evidence on the main issues in the management of patients with failed transplant, including the ideal timing and modality of dialysis reinitiation, the indications for an allograft nephrectomy or the correct management of immunosuppression during graft failure. In summary, retransplantation is a feasible option that should be considered in patients with graft failure and may help to minimize the morbidity and mortality risk associated with dialysis reinitiation.
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Affiliation(s)
- Marco Fiorentino
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Pasquale Gallo
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Marica Giliberti
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Vincenza Colucci
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Antonio Schena
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Giovanni Stallone
- Nephrology, Dialysis and Transplantation Unit, Department of Medical and Surgical Science, University of Foggia, Foggia, Italy
| | - Loreto Gesualdo
- Department of Emergency and Organ Transplantation, "Aldo Moro" University, Bari, Italy
| | - Giuseppe Castellano
- Nephrology, Dialysis and Transplantation Unit, Department of Medical and Surgical Science, University of Foggia, Foggia, Italy
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48
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Sypek MP, Hiho S, Cantwell L, Clayton P, Hughes P, Le Page AK, Kausman J. Human leukocyte antigen eplet mismatches and long-term clinical outcomes in pediatric renal transplantation: A pragmatic, registry-based study. Pediatr Transplant 2020; 24:e13705. [PMID: 32319719 DOI: 10.1111/petr.13705] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 01/28/2020] [Accepted: 02/04/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND HLA epitope-based matching offers the potential to improve immunological risk prediction and management in children receiving renal allografts; however, studies demonstrating the association between systems for defining epitope mismatches and clinical end-points are lacking in this population. METHODS We conducted a pragmatic, retrospective, registry-based study of pediatric recipients of primary renal allografts in Victoria, Australia between 1990 and 2014 to determine the association between HLA EpMM and clinical outcomes including graft failure, re-transplantation and dnDSA formation. RESULTS A total of 196 patients were included in the analysis with a median age of 11 years. Median follow-up period was 15 years during which time 108 (55%) primary grafts failed and 72 patients were re-transplanted. HLA class I but not class II EpMM was a significant predictor of graft failure on univariate analysis but not in adjusted models. EpMM was associated with reduced likelihood of re-transplantation in univariate but not adjusted analysis. Within the limitations of the study, class-specific EpMM was a strong predictor of dnDSA formation. Associations were stronger when considering only the subset of antibody-verified EpMM. CONCLUSION Associations between HLA EpMM and clinical outcomes in pediatric renal allograft recipients seen on univariate analysis were attenuated following adjustment for confounders. These findings are inconclusive but suggest that HLA EpMM may provide one tool for assessing long-term risk in this population while highlighting the need for further clinical studies.
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Affiliation(s)
- Matthew P Sypek
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Vic., Australia.,Department of Nephrology, Royal Children's Hospital, Melbourne, Vic., Australia.,Department of Nephrology, Royal Melbourne Hospital, Melbourne, Vic., Australia.,Australia and New Zealand Dialysis and Transplant Registry, Adelaide, SA, Australia
| | - Steve Hiho
- Australian Red Cross Blood Service, Melbourne, Vic., Australia
| | - Linda Cantwell
- Australian Red Cross Blood Service, Melbourne, Vic., Australia
| | - Phil Clayton
- Australia and New Zealand Dialysis and Transplant Registry, Adelaide, SA, Australia.,Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.,Central and Northern Renal and Transplant Services, Central Adelaide Local Health Network, Adelaide, SA, Australia
| | - Peter Hughes
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Vic., Australia.,Department of Nephrology, Royal Melbourne Hospital, Melbourne, Vic., Australia
| | - Amelia K Le Page
- Department of Nephrology, Monash Children's Hospital, Melbourne, Vic., Australia.,Department of Paediatrics, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Vic., Australia
| | - Joshua Kausman
- Department of Nephrology, Royal Children's Hospital, Melbourne, Vic., Australia.,Department of Paediatrics, University of Melbourne, Parkville, Vic., Australia.,Murdoch Children's Research Institute, Melbourne, Vic., Australia
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49
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Rajalingam R. Allele-level HLA matching reduces early rejection in lung transplant recipients. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:275. [PMID: 32355719 PMCID: PMC7186615 DOI: 10.21037/atm.2020.02.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Raja Rajalingam
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California San Francisco, San Francisco, CA, USA
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50
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Kramer CSM, Koster J, Haasnoot GW, Roelen DL, Claas FHJ, Heidt S. HLA-EMMA: A user-friendly tool to analyse HLA class I and class II compatibility on the amino acid level. HLA 2020; 96:43-51. [PMID: 32227681 PMCID: PMC7317360 DOI: 10.1111/tan.13883] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/23/2020] [Accepted: 03/25/2020] [Indexed: 11/30/2022]
Abstract
In renal transplantation, polymorphic amino acids on mismatched donor HLA molecules can lead to the induction of de novo donor‐specific antibodies (DSA), which are associated with inferior graft survival. To ultimately prevent de novo DSA formation without unnecessarily precluding transplants it is essential to define which polymorphic amino acid mismatches can actually induce an antibody response. To facilitate this, we developed a user‐friendly software program that establishes HLA class I and class II compatibility between donor and recipient on the amino acid level. HLA epitope mismatch algorithm (HLA‐EMMA) is a software program that compares simultaneously the HLA class I and class II amino acid sequences of the donor with the HLA amino acid sequences of the recipient and determines the polymorphic solvent accessible amino acid mismatches that are likely to be accessible to B cell receptors. Analysis can be performed for a large number of donor‐recipient pairs at once. As proof of principle, a previously described study cohort of 191 lymphocyte immunotherapy recipients was analysed with HLA‐EMMA and showed a higher frequency of DSA formation with higher number of solvent accessible amino acids mismatches. Overall, HLA‐EMMA can be used to analyse compatibility on amino acid level between donor and recipient HLA class I and class II simultaneously for large cohorts to ultimately determine the most immunogenic amino acid mismatches.
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Affiliation(s)
- Cynthia S M Kramer
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Johan Koster
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Geert W Haasnoot
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Dave L Roelen
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Frans H J Claas
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
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