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Zhanzak Z, Cina D, Johnson AC, Larsen CP. Implications of MHC-restricted immunopeptidome in transplantation. Front Immunol 2024; 15:1436233. [PMID: 39035001 PMCID: PMC11257886 DOI: 10.3389/fimmu.2024.1436233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 06/26/2024] [Indexed: 07/23/2024] Open
Abstract
The peptide presentation by donor and recipient major histocompatibility complex (MHC) molecules is the major driver of T-cell responses in transplantation. In this review, we address an emerging area of interest, the application of immunopeptidome in transplantation, and describe the potential opportunities that exist to use peptides for targeting alloreactive T cells. The immunopeptidome, the set of peptides presented on an individual's MHC, plays a key role in immune surveillance. In transplantation, the immunopeptidome is heavily influenced by MHC-derived peptides, delineating a key subset of the diverse peptide repertoire implicated in alloreactivity. A better understanding of the immunopeptidome in transplantation has the potential to open up new approaches to identify, characterize, longitudinally quantify, and therapeutically target donor-specific T cells and ultimately support more personalized immunotherapies to prevent rejection and promote allograft tolerance.
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Affiliation(s)
- Zhuldyz Zhanzak
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, United States
- Emory Transplant Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Davide Cina
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, United States
- Emory Transplant Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Aileen C. Johnson
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, United States
- Emory Transplant Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Christian P. Larsen
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, United States
- Emory Transplant Center, Emory University School of Medicine, Atlanta, GA, United States
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2
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Santos E, Spensley K, Gunby N, Worthington J, Roufosse C, Anand A, Willicombe M. Application of HLA molecular level mismatching in ethnically diverse kidney transplant recipients receiving a steroid-sparing immunosuppression protocol. Am J Transplant 2024; 24:1218-1232. [PMID: 38403189 DOI: 10.1016/j.ajt.2024.02.019] [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: 10/09/2023] [Revised: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 02/27/2024]
Abstract
Defining HLA mismatch at the molecular compared with the antigen level has been shown to be superior in predicting alloimmune responses, although data from across different patient populations are lacking. Using HLA-Matchmaker, HLA-EMMA and PIRCHE-II, this study reports on the association between molecular mismatch (MolMM) and de novo donor-specific antibody (dnDSA) in an ethnically diverse kidney transplant population receiving a steroid-sparing immunosuppression protocol. Of the 419 patients, 51 (12.2%) patients had dnDSA. De novo DSA were seen more frequently with males, primary transplants, patients receiving tacrolimus monotherapy, and unfavorably HLA-matched transplants. There was a strong correlation between MolMM load and antigen mismatch, although significant variation of MolMM load existed at each antigen mismatch. MolMM loads differed significantly by recipient ethnicity, although ethnicity alone was not associated with dnDSA. On multivariate analysis, increasing MolMM loads associated with dnDSA, whereas antigen mismatch did not. De novo DSA against 8 specific epitopes occurred at high frequency; of the 51 patients, 47 (92.1%) patients with dnDSA underwent a pretreatment biopsy, with 21 (44.7%) having evidence of alloimmune injury. MolMM has higher specificity than antigen mismatching at identifying recipients who are at low risk of dnDSA while receiving minimalist immunosuppression. Immunogenicity consideration is important, with more work needed on identification, especially across different ethnic groups.
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Affiliation(s)
- Eva Santos
- Histocompatibility and Immunogenetics Laboratory, Northwest London Pathology NHS Trust, Hammersmith Hospital, London, UK
| | - Katrina Spensley
- Imperial College Renal and Transplant Centre, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK; Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, Hammersmith Campus, London, UK
| | - Nicola Gunby
- Histocompatibility and Immunogenetics Laboratory, Northwest London Pathology NHS Trust, Hammersmith Hospital, London, UK
| | - Judith Worthington
- Transplantation Laboratory, Manchester Royal Infirmary, Oxford Road, Manchester, UK
| | - Candice Roufosse
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, Hammersmith Campus, London, UK; Department of Histopathology, Northwest London Pathology NHS Trust, Charing Cross Hospital, London, UK
| | - Arthi Anand
- Histocompatibility and Immunogenetics Laboratory, Northwest London Pathology NHS Trust, Hammersmith Hospital, London, UK
| | - Michelle Willicombe
- Imperial College Renal and Transplant Centre, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK; Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, Hammersmith Campus, London, UK.
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3
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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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4
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Ladowski JM, Tector M, Martens G, Wang ZY, Burlak C, Reyes L, Estrada J, Adams A, Tector AJ. Late graft failure of pig-to-rhesus renal xenografts has features of glomerulopathy and recipients have anti-swine leukocyte antigen class I and class II antibodies. Xenotransplantation 2024; 31:e12862. [PMID: 38761019 PMCID: PMC11104517 DOI: 10.1111/xen.12862] [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: 12/11/2023] [Revised: 03/12/2024] [Accepted: 04/30/2024] [Indexed: 05/20/2024]
Abstract
Prolonged survival in preclinical renal xenotransplantation demonstrates that early antibody mediated rejection (AMR) can be overcome. It is now critical to evaluate and understand the pathobiology of late graft failure and devise new means to improve post xenograft outcomes. In renal allotransplantation the most common cause of late renal graft failure is transplant glomerulopathy-largely due to anti-donor MHC antibodies, particularly anti-HLA DQ antibodies. We evaluated the pig renal xenograft pathology of four long-surviving (>300 days) rhesus monkeys. We also evaluated the terminal serum for the presence of anti-SLA class I and specifically anti-SLA DQ antibodies. All four recipients had transplant glomerulopathy and expressed anti-SLA DQ antibodies. In one recipient tested for anti-SLA I antibodies, the recipient had antibodies specifically reacting with two of three SLA I alleles tested. These results suggest that similar to allotransplantation, anti-MHC antibodies, particularly anti-SLA DQ, may be a barrier to improved long-term xenograft outcomes.
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Affiliation(s)
| | | | - Gregory Martens
- Department of Surgery, Washington University School of Medicine, St. Louis MO
| | - Zheng Yu Wang
- Department of Surgery, University of Miami School of Medicine, Miami, FL
| | - Chris Burlak
- Department of Surgery, University of Miami School of Medicine, Miami, FL
| | - Luz Reyes
- Department of Surgery, University of Miami School of Medicine, Miami, FL
| | - Jose Estrada
- Department of Surgery, University of Miami School of Medicine, Miami, FL
| | - Andrew Adams
- Department of Surgery, University of Minnesota School of Medicine, Minneapolis, MN
| | - A. Joseph Tector
- Department of Surgery, University of Miami School of Medicine, Miami, FL
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5
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He H, Huang J, Zuo Y, Wang Y, Jiang M, Jin Y, Tang L, Wang M. Establishment and clinical application of the HLA genotype database of platelet-apheresis donors in Suzhou. Heliyon 2024; 10:e29268. [PMID: 38638976 PMCID: PMC11024603 DOI: 10.1016/j.heliyon.2024.e29268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/20/2024] Open
Abstract
The establishment of a platelet-apheresis donor database may provide a feasible solution to improve the efficacy of platelet transfusion in patients with immune platelet transfusion refractoriness (PTR). This study aimed to establish HLA genotype database in Suzhou, to provide HLA-I compatible platelets for PTR patients to ensure the safety and effectiveness of platelet transfusions. We used a polymerase chain reaction sequence-based typing (PCR-SBT) method to establish the database by performing high-resolution HLA-A, -B, and -C genotyping on 900 platelet-apheresis donors. HLA-I antibody was detected in patients using a Luminex device, and HLA-I gene matching was performed by an HLA-Matchmaker. We found that the highest frequency of the HLA-A allele was A*11:01 (17.06 %), followed by A*24:02 (14.67 %) and A*02:01 (13.61 %). The highest frequency of the HLA-B allele was B*46:01 (9.78 %), followed by B*40:01 (8.39 %) and B*13:02 (33 %). After the detection of platelet antibodies in 74 patients with immune PTR, we found 30 HLA-A antibodies and 48 HLA-B antibodies, and there were a variety of high frequency antibodies whose alleles were low in the donor database, such as HLA-A*68:02, and B*57:01. After avoiding donor-specific antibodies (DSA) matching, 102 of 209 platelet-compatible transfusions were effective, resulting in an effective rate of 48.8 %, which significantly improved the efficacy of platelet transfusion. The establishment of a platelet donor database is of great significance to improve the therapeutic effect of platelet transfusion in patients with hematologic disorder, and save blood resources, and it is also the premise and guarantee of precise platelet transfusion.
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Affiliation(s)
- Honghong He
- Department of Blood Screening, Suzhou Blood Center, 215006 Suzhou, China
| | - Jingjing Huang
- Department of Blood Screening, Suzhou Blood Center, 215006 Suzhou, China
| | - Yuanling Zuo
- Department of Blood Transfusion, the First Affiliated Hospital of Soochow University, 215000 Suzhou, China
| | - Yihan Wang
- Department of Blood Screening, Suzhou Blood Center, 215006 Suzhou, China
| | - Min Jiang
- Department of Blood Transfusion, the First Affiliated Hospital of Soochow University, 215000 Suzhou, China
| | - Yiming Jin
- Department of Blood Screening, Suzhou Blood Center, 215006 Suzhou, China
| | - Longhai Tang
- Department of Transfusion Research Laboratory, Suzhou Blood Center, 215006 Suzhou, China
| | - Mingyuan Wang
- Department of Transfusion Research Laboratory, Suzhou Blood Center, 215006 Suzhou, China
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6
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Yanyiam P, Kantachuvesiri S, Thammanichanond D. Impact of HLA Eplet Mismatch on De Novo Donor Specific Antibody Formation After Kidney Transplantation. Transplant Proc 2024; 56:515-520. [PMID: 38368130 DOI: 10.1016/j.transproceed.2024.01.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/16/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND HLA eplet mismatching is an alternative approach to assess the risk of developing de novo donor-specific antibodies (dnDSA) in kidney transplantation. This strategy may offer more precise risk stratification than conventional approaches. This study aimed to find the association between HLA eplet mismatches and dnDSA formation in Thai kidney transplant recipients. METHODS A retrospective cohort study of kidney transplant recipients transplanted between 2000 and 2021 at Ramathibodi Hospital was performed. Recipients with pretransplant panel reactive antibody >0% or without DSA testing post-transplant were excluded. One hundred fifty recipients were included in the final study. High-resolution HLA typing was imputed by the HaploStat application. HLA eplet mismatch analysis was conducted using HLAMatchmaker. The association between the number of eplet mismatches and the risk of dnDSA formation was assessed by Cox regression analysis. RESULTS Of 150 recipients, 43 were dnDSA-positive, and 107 were dnDSA-negative patients. Compared with the dnDSA-negative group, patients with class II dnDSA had significantly more HLA-DR/DQ antibody (Ab)-verified eplet mismatches (6 [IQR 4-8] vs 4 [IQR 1-7], P = .045). The receiver operating characteristics analysis showed that the HLA-DQ Ab-verified eplet mismatches ≥2 were the best predictive of HLA class II dnDSA development. The number of HLA-DQ Ab-verified eplet mismatches ≥2 had the highest hazard rate of HLA class II dnDSA occurrence (adjusted HR, 3.74; 95%CI, 1.24-11.24, P = .019). CONCLUSIONS HLA-DQ Ab-verified eplet mismatches are significantly associated with class II dnDSA development. Our data supports the utility of HLA eplet mismatching for donor-recipient risk assessment.
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Affiliation(s)
- Peerawit Yanyiam
- Histocompatibility and Immunogenetics Laboratory, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Surasak Kantachuvesiri
- Division of Nephrology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Duangtawan Thammanichanond
- Histocompatibility and Immunogenetics Laboratory, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
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7
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Kardol-Hoefnagel T, Senejohnny DM, Kamburova EG, Wisse BW, Reteig L, Gruijters ML, Joosten I, Allebes WA, van der Meer A, Hilbrands LB, Baas MC, Spierings E, Hack CE, van Reekum FE, van Zuilen AD, Verhaar MC, Bots ML, Drop ACAD, Plaisier L, Melchers RCA, Seelen MAJ, Sanders JS, Hepkema BG, Lambeck AJA, Bungener LB, Roozendaal C, Tilanus MGJ, Voorter CE, Wieten L, van Duijnhoven EM, Gelens MACJ, Christiaans MHL, van Ittersum FJ, Nurmohamed SA, Lardy NM, Swelsen W, van der Pant KAMI, van der Weerd NC, Ten Berge IJM, Hoitsma A, van der Boog PJM, de Fijter JW, Betjes MGH, Roelen DL, Claas FH, Bemelman FJ, Senev A, Naesens M, Heidt S, Otten HG. Determination of the clinical relevance of donor epitope-specific HLA-antibodies in kidney transplantation. HLA 2024; 103:e15346. [PMID: 38239046 DOI: 10.1111/tan.15346] [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: 07/06/2023] [Revised: 12/15/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024]
Abstract
In kidney transplantation, survival rates are still partly impaired due to the deleterious effects of donor specific HLA antibodies (DSA). However, not all luminex-defined DSA appear to be clinically relevant. Further analysis of DSA recognizing polymorphic amino acid configurations, called eplets or functional epitopes, might improve the discrimination between clinically relevant vs. irrelevant HLA antibodies. To evaluate which donor epitope-specific HLA antibodies (DESAs) are clinically important in kidney graft survival, relevant and irrelevant DESAs were discerned in a Dutch cohort of 4690 patients using Kaplan-Meier analysis and tested in a cox proportional hazard (CPH) model including nonimmunological variables. Pre-transplant DESAs were detected in 439 patients (9.4%). The presence of certain clinically relevant DESAs was significantly associated with increased risk on graft loss in deceased donor transplantations (p < 0.0001). The antibodies recognized six epitopes of HLA Class I, 3 of HLA-DR, and 1 of HLA-DQ, and most antibodies were directed to HLA-B (47%). Fifty-three patients (69.7%) had DESA against one donor epitope (range 1-5). Long-term graft survival rate in patients with clinically relevant DESA was 32%, rendering DESA a superior parameter to classical DSA (60%). In the CPH model, the hazard ratio (95% CI) of clinically relevant DESAs was 2.45 (1.84-3.25) in deceased donation, and 2.22 (1.25-3.95) in living donation. In conclusion, the developed model shows the deleterious effect of clinically relevant DESAs on graft outcome which outperformed traditional DSA-based risk analysis on antigen level.
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Affiliation(s)
- Tineke Kardol-Hoefnagel
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Elena G Kamburova
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bram W Wisse
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leon Reteig
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maartje L Gruijters
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Irma Joosten
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wil A Allebes
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arnold van der Meer
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Marije C Baas
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cornelis E Hack
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Franka E van Reekum
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Arjan D van Zuilen
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marianne C Verhaar
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adriaan C A D Drop
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Loes Plaisier
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rowena C A Melchers
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc A J Seelen
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan Stephan Sanders
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Bouke G Hepkema
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Annechien J A Lambeck
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura B Bungener
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Caroline Roozendaal
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Marcel G J Tilanus
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Christina E Voorter
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lotte Wieten
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Elly M van Duijnhoven
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mariëlle A C J Gelens
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maarten H L Christiaans
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frans J van Ittersum
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Shaikh A Nurmohamed
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neubury M Lardy
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Wendy Swelsen
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Karlijn A M I van der Pant
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neelke C van der Weerd
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Ineke J M Ten Berge
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Andries Hoitsma
- Dutch Organ Transplant Registry (NOTR), Dutch Transplant Foundation (NTS), Leiden, The Netherlands
| | | | - Johan W de Fijter
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel G H Betjes
- Department of Nephrology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frans H Claas
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Aleksandar Senev
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
- Histocompatibility and Immunogenetics Laboratory (HILA), Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maarten Naesens
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henny G Otten
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
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8
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Kardol-Hoefnagel T, Senejohnny DM, Kamburova EG, Wisse BW, Gruijters ML, Joosten I, Allebes WA, van der Meer A, Hilbrands LB, Baas MC, Spierings E, Hack CE, van Reekum FE, van Zuilen AD, Verhaar MC, Drop ACAD, Plaisier L, Melchers RCA, Seelen MAJ, Sanders JS, Hepkema BG, Kroesen BJ, Bungener LB, Roozendaal C, Tilanus MGJ, Voorter CE, Wieten L, van Duijnhoven EM, Gelens MACJ, Christiaans MHL, van Ittersum FJ, Nurmohamed SA, Lardy NM, Swelsen W, van der Pant KAMI, van der Weerd NC, Ten Berge IJM, Hoitsma A, van der Boog PJM, de Fijter JW, Betjes MGH, Roelen DL, Claas FH, Bemelman FJ, Heidt S, Otten HG. Ellipro scores of donor epitope specific HLA antibodies are not associated with kidney graft survival. HLA 2024; 103:e15297. [PMID: 38226401 DOI: 10.1111/tan.15297] [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: 08/21/2023] [Revised: 10/09/2023] [Accepted: 11/01/2023] [Indexed: 01/17/2024]
Abstract
In kidney transplantation, donor HLA antibodies are a risk factor for graft loss. Accessibility of donor eplets for HLA antibodies is predicted by the ElliPro score. The clinical usefulness of those scores in relation to transplant outcome is unknown. In a large Dutch kidney transplant cohort, Ellipro scores of pretransplant donor antibodies that can be assigned to known eplets (donor epitope specific HLA antibodies [DESAs]) were compared between early graft failure and long surviving deceased donor transplants. We did not observe a significant Ellipro score difference between the two cohorts, nor significant differences in graft survival between transplants with DESAs having high versus low total Ellipro scores. We conclude that Ellipro scores cannot be used to identify DESAs associated with early versus late kidney graft loss in deceased donor transplants.
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Affiliation(s)
- Tineke Kardol-Hoefnagel
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Elena G Kamburova
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bram W Wisse
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maartje L Gruijters
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Irma Joosten
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wil A Allebes
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arnold van der Meer
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Marije C Baas
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cornelis E Hack
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Franka E van Reekum
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Arjan D van Zuilen
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marianne C Verhaar
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Adriaan C A D Drop
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Loes Plaisier
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rowena C A Melchers
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc A J Seelen
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan Stephan Sanders
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Bouke G Hepkema
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Bart-Jan Kroesen
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura B Bungener
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Caroline Roozendaal
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Marcel G J Tilanus
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Christina E Voorter
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lotte Wieten
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Elly M van Duijnhoven
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mariëlle A C J Gelens
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maarten H L Christiaans
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frans J van Ittersum
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Shaikh A Nurmohamed
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neubury M Lardy
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Wendy Swelsen
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Karlijn A M I van der Pant
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neelke C van der Weerd
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Ineke J M Ten Berge
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Andries Hoitsma
- Dutch Organ Transplant Registry (NOTR), Dutch Transplant Foundation (NTS), Leiden, The Netherlands
| | | | - Johan W de Fijter
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel G H Betjes
- Department of Nephrology, Erasmus Medical Center, Rotterdam, Rotterdam, The Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frans H Claas
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henny G Otten
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
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9
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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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10
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Stefańska K, Kurkowiak M, Piekarska K, Chruściel E, Zamkowska D, Jassem-Bobowicz J, Adamski P, Świątkowska-Stodulska R, Abacjew-Chmyłko A, Leszczyńska K, Zieliński M, Preis K, Zielińska H, Tymoniuk B, Trzonkowski P, Marek-Trzonkowska NM. High maternal-fetal HLA eplet compatibility is associated with severe manifestation of preeclampsia. Front Immunol 2023; 14:1272021. [PMID: 38022600 PMCID: PMC10655094 DOI: 10.3389/fimmu.2023.1272021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Preeclampsia is responsible for more than 70 000 and 500 000 maternal and fetal deaths, respectively each year. Incomplete remodelling of the spiral arteries in placenta is the most accepted theory of preeclampsia pathogenesis. However, the process is complexed with immunological background, as pregnancy resembles allograft transplantation. Fetus expresses human leukocyte antigens (HLA) inherited from both parents, thus is semiallogeneic to the maternal immune system. Therefore, induction of fetal tolerance is crucial for physiological outcome of pregnancy. Noteworthy, the immunogenicity of discordant HLA antigens is determined by functional epitopes called eplets, which are continuous and discontinuous short sequences of amino acids. This way various HLA molecules may express the same eplet and some HLA incompatibilities can be more immunogenic due to different eplet combination. Therefore, we hypothesized that maternal- fetal HLA incompatibility may be involved in the pathogenesis of gestational hypertension and its progression to preeclampsia. We also aimed to test if particular maternal-fetal eplet mismatches are more prone for induction of anti- fetal HLA antibodies in gestational hypertension and preeclampsia. Methods High resolution next-generation sequencing of HLA-A, -B, -C, -DQB1 and -DRB1 antigens was performed in mothers and children from physiological pregnancies (12 pairs) and from pregnancies complicated with gestational hypertension (22 pairs) and preeclampsia (27 pairs). In the next step HLA eplet identification and analysis of HLA eplet incompatibilities was performed with in silico approach HLAMatchmaker algorithm. Simultaneously maternal sera were screened for anti-fetal HLA class I, class II and anti-MICA antibodies with Luminex, and data were analyzed with HLA-Fusion software. Results We observed that high HLA-C, -B, and DQB1 maternal-fetal eplet compatibility was associated with severe preeclampsia (PE) manifestation. Both quantity and quality of HLA epletmismatches affected the severity of PE. Mismatches in HLA-B eplets: 65QIA+76ESN, 70IAO, 180E, HLA-C eplets: 193PL3, 267QE, and HLA-DRB1 eplet: 16Y were associated with a mild outcome of preeclampsia if the complication occurred. Conclusions High HLA-C, HLA-DQB1 and HLA-B eplet compatibility between mother and child is associated with severe manifestation of preeclampsia. Both quantity and quality of maternal-fetal HLA eplet mismatches affects severity of preeclampsia.
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Affiliation(s)
- Katarzyna Stefańska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Małgorzata Kurkowiak
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
| | - Karolina Piekarska
- Laboratory of Immunology and Clinical Transplantology, University Clinical Centre in Gdańsk, Gdańsk, Poland
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
- Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdansk, Gdańsk, Poland
| | - Elżbieta Chruściel
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
| | - Dorota Zamkowska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | | | - Przemysław Adamski
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | | | - Anna Abacjew-Chmyłko
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Katarzyna Leszczyńska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Maciej Zieliński
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Krzysztof Preis
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Hanna Zielińska
- Laboratory of Immunology and Clinical Transplantology, University Clinical Centre in Gdańsk, Gdańsk, Poland
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Bogusław Tymoniuk
- Department of Immunology and Allergy, Medical University of Łódź, Łódź, Poland
| | - Piotr Trzonkowski
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Natalia Maria Marek-Trzonkowska
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
- Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdansk, Gdańsk, Poland
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11
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Edwards L, Bentley C, Burgess M, Sapir-Pichhadze R, Hartell D, Keown P, Bryan S. Adding epitope compatibility to deceased donor kidney allocation criteria: recommendations from a pan-Canadian online public deliberation. BMC Nephrol 2023; 24:165. [PMID: 37296384 PMCID: PMC10255937 DOI: 10.1186/s12882-023-03224-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND The widening supply-demand imbalance for kidneys necessitates finding ways to reduce rejection and improve transplant outcomes. Human leukocyte antigen (HLA) epitope compatibility between donor and recipient may minimize premature graft loss and prolong survival, but incorporating this strategy to deceased donor allocation criteria prioritizes transplant outcomes over wait times. An online public deliberation was held to identify acceptable trade-offs when implementing epitope compatibility to guide Canadian policymakers and health professionals in deciding how best to allocate kidneys fairly. METHODS Invitations were mailed to 35,000 randomly-selected Canadian households, with over-sampling of rural/remote locations. Participants were selected for socio-demographic diversity and geographic representation. Five two-hour online sessions were held from November-December 2021. Participants received an information booklet and heard from expert speakers prior to deliberating on how to fairly implement epitope compatibility for transplant candidates and governance issues. Participants collectively generated and voted on recommendations. In the final session, kidney donation and allocation policymakers engaged with participants. Sessions were recorded and transcribed. RESULTS Thirty-two individuals participated and generated nine recommendations. There was consensus on adding epitope compatibility to the existing deceased donor kidney allocation criteria. However, participants recommended including safeguards/flexibility around this (e.g., mitigating declining health). They called for a transition period to epitope compatibility, including an ongoing comprehensive public education program. Participants unanimously recommended regular monitoring and public sharing of epitope-based transplant outcomes. CONCLUSIONS Participants supported adding epitope compatibility to kidney allocation criteria, but advised safeguards and flexibility around implementation. These recommendations provide guidance to policymakers about incorporating epitope-based deceased donor allocation criteria.
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Affiliation(s)
- Louisa Edwards
- School of Population & Public Health, University of British Columbia (UBC), 717 - 828 West 10th Avenue, Research Pavilion, Vancouver, BC, V5Z 1M9, Canada.
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada.
| | | | - Michael Burgess
- School of Population & Public Health, University of British Columbia (UBC), 717 - 828 West 10th Avenue, Research Pavilion, Vancouver, BC, V5Z 1M9, Canada
- W. Maurice Young Centre for Applied Ethics, UBC, Vancouver, Canada
| | - Ruth Sapir-Pichhadze
- Division of Nephrology, Department of Medicine, McGill University, Montreal, Canada
- Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, Vancouver, Canada
| | | | - Paul Keown
- Department of Medicine, UBC, Vancouver, Canada
- Immune Centre of BC, Vancouver Coastal Health, Vancouver, Canada
| | - Stirling Bryan
- School of Population & Public Health, University of British Columbia (UBC), 717 - 828 West 10th Avenue, Research Pavilion, Vancouver, BC, V5Z 1M9, Canada
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada
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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: 6] [Impact Index Per Article: 6.0] [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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13
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Morita-Fujita M, Shindo T, Iemura T, Arai Y, Kanda J, Okada K, Ueda Y, Yoshiyuki O, Anzai N, Mori T, Ishikawa T, Otsuka Y, Yonezawa A, Yuhi N, Imada K, Oba A, Itoh M, Okamoto Y, Kitano T, Ikeda T, Kotani S, Akasaka T, Yago K, Watanabe M, Nohgawa M, Tsuji M, Takeoka T, Yamamoto R, Arima N, Yoshinaga N, Hishizawa M, Yamashita K, Kondo T, Takaori-Kondo A. Epitope mismatch at HLA-DRB1 associates with reduced relapse risk in cord blood transplant for standard-risk hematological malignancy. Transplant Cell Ther 2023:S2666-6367(23)01136-3. [PMID: 36889508 DOI: 10.1016/j.jtct.2023.03.002] [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: 11/23/2022] [Revised: 03/01/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND Cord blood transplantation (CBT) is an attractive therapeutic option for patients with hematological malignancies. CBT tolerates HLA mismatches between donors and recipients, but which HLA mismatches generate graft-versus-tumor (GVT) effects is unknown. OBJECTIVE Given that HLA molecules contain epitopes comprising polymorphic amino acids that determine their immunogenicity, we investigated associations between epitope-level HLA mismatches and relapse following single-unit CBT. STUDY DESIGN A total of 492 patients with hematological malignancies who received single unit, T cell replete CBT were included in this multi-center retrospective study. HLA epitope mismatches (EM) were quantified using HLA matchmaker software from donor and patient HLA-A, B, C and DRB1 allele data. Patients were dichotomized by median EM value and divided into groups transplanted in complete/partial remission (standard stage: 62.4%) and others (advanced stage: 37.6%). RESULTS Median EM numbers in the graft-versus-host direction (GVH-EM) at HLA-class I and HLA-DRB1 were 3 (range, 0-16) and 1 (range, 0-7), respectively. Higher HLA-class I GVH-EM increased non-relapse mortality (NRM) in the advanced stage group (adjusted hazard ratio [HR], 2.12; p=0.021), with no significant advantage for relapse in either stage. On the other hand, higher HLA-DRB1 GVH-EM was associated with better disease-free survival in the standard stage group (adjusted HR, 0.63; p=0.020), which was attributed to lower relapse risk (adjusted HR, 0.46; p=0.014). These associations were also observed even within HLA-DRB1 allele-mismatched transplants in the standard stage group, indicating that EM might have impacts on relapse risk independently of allele mismatch. High HLA-DRB1 GVH-EM did not increase NRM in either stage. CONCLUSIONS High HLA-DRB1 GVH-EM may lead to potent GVT effects and favorable prognosis following CBT especially in the patients transplanted in the standard stage. This approach may facilitate appropriate unit selection and improve the overall prognosis of patients with hematological malignancies who receive CBT.
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Affiliation(s)
- Mari Morita-Fujita
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takero Shindo
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Tomoki Iemura
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasuyuki Arai
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Junya Kanda
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuya Okada
- Department of Hematology, Kurashiki Central Hospital, Okayama, Japan
| | - Yasunori Ueda
- Department of Hematology, Kurashiki Central Hospital, Okayama, Japan
| | - Onda Yoshiyuki
- Department of Hematology, Takatsuki Red Cross Hospital, Takatsuki, Japan
| | - Naoyuki Anzai
- Department of Hematology, Takatsuki Red Cross Hospital, Takatsuki, Japan
| | - Takuto Mori
- Department of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Takayuki Ishikawa
- Department of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Yasuyuki Otsuka
- Department of Hematology, Kokura Memorial Hospital, Fukuoka, Japan
| | - Akihito Yonezawa
- Department of Hematology, Kokura Memorial Hospital, Fukuoka, Japan
| | - Naoki Yuhi
- Department of Hematology, Osaka Red Cross Hospital, Osaka, Japan
| | - Kazunori Imada
- Department of Hematology, Osaka Red Cross Hospital, Osaka, Japan
| | - Akifumi Oba
- Department of Hematology, Kyoto City Hospital, Kyoto, Japan
| | - Mitsuru Itoh
- Department of Hematology, Kyoto City Hospital, Kyoto, Japan
| | | | | | - Takashi Ikeda
- Division of Hematology and Stem Cell Transplantation, Shizuoka Cancer Center, Shizuoka, Japan
| | | | | | - Kazuhiro Yago
- Department of Hematology, Shizuoka General Hospital, Shizuoka, Japan
| | - Mitsumasa Watanabe
- Department of Hematology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Masaharu Nohgawa
- Department of Hematology, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
| | - Masaaki Tsuji
- Department of Hematology and Immunology, Japanese Red Cross Otsu Hospital, Otsu, Japan
| | - Tomoharu Takeoka
- Department of Hematology and Immunology, Japanese Red Cross Otsu Hospital, Otsu, Japan
| | - Ryusuke Yamamoto
- Department of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan; Department of Hematology, Shinko Hospital, Kobe, Japan
| | | | - Noriyoshi Yoshinaga
- Department of Hematology, Kyoto-Katsura Hospital, Kyoto, Japan; Department of Hematology/Oncology, Shiga General Hospital, Moriyama, Japan
| | | | - Kouhei Yamashita
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tadakazu Kondo
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Hematology, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Akifumi Takaori-Kondo
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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14
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Tambur AR, Das R. Can We Use Eplets (or Molecular) Mismatch Load Analysis to Improve Organ Allocation? The Hope and the Hype. Transplantation 2023; 107:605-615. [PMID: 36163639 PMCID: PMC9944744 DOI: 10.1097/tp.0000000000004307] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/14/2022] [Accepted: 07/03/2022] [Indexed: 11/25/2022]
Abstract
In recent years, there have been calls for implementation of "epitope matching" in deceased-donor organ allocation policies (later changed to "eplet matching"). Emerging data indeed support the use of molecular mismatch load analysis in specific patient groups, with the objective of posttransplant stratification into different treatment arms. For this purpose, the expectation is to statistically categorize patients as low- or high-immune-risk. Importantly, these patients will continue to be monitored' and their risk category, as well as their management, can be adjusted according to on-going findings. However, when discussing deceased donor organ allocation and matching algorithms, where the decision is not modifiable and has lasting impact on outcomes, the situation is fundamentally different. The goal of changing allocation schemes is to achieve the best possible HLA compatibility between donor and recipient. Immunologically speaking, this is a very different objective. For this purpose, the specific interplay of immunogenicity between the donor and any potential recipient must be understood. In seeking compatibility, the aim is not to redefine matching but to identify those mismatches that are "permissible" or' in other words, less immunogenic. In our eagerness to improve transplant outcome, unfortunately, we have conflated the hype with the hope. Terminology is used improperly, and new terms are created in the process with no sufficient support. Here, we call for a cautious evaluation of baseline assumptions and a critical review of the evidence to minimize unintended consequences.
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Affiliation(s)
- Anat R. Tambur
- Comprehensive Transplant Center, Department of Surgery, Northwestern University, Chicago, IL
| | - Rajdeep Das
- Comprehensive Transplant Center, Department of Surgery, Northwestern University, Chicago, IL
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15
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King SM, Bryan SP, Hilchey SP, Wang J, Zand MS. First Impressions Matter: Immune Imprinting and Antibody Cross-Reactivity in Influenza and SARS-CoV-2. Pathogens 2023; 12:169. [PMID: 36839441 PMCID: PMC9967769 DOI: 10.3390/pathogens12020169] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/24/2023] Open
Abstract
Many rigorous studies have shown that early childhood infections leave a lasting imprint on the immune system. The understanding of this phenomenon has expanded significantly since 1960, when Dr. Thomas Francis Jr first coined the term "original antigenic sin", to account for all previous pathogen exposures, rather than only the first. Now more commonly referred to as "immune imprinting", this effect most often focuses on how memory B-cell responses are shaped by prior antigen exposure, and the resultant antibodies produced after subsequent exposure to antigenically similar pathogens. Although imprinting was originally observed within the context of influenza viral infection, it has since been applied to the pandemic coronavirus SARS-CoV-2. To fully comprehend how imprinting affects the evolution of antibody responses, it is necessary to compare responses elicited by pathogenic strains that are both antigenically similar and dissimilar to strains encountered previously. To accomplish this, we must be able to measure the antigenic distance between strains, which can be easily accomplished using data from multidimensional immunological assays. The knowledge of imprinting, combined with antigenic distance measures, may allow for improvements in vaccine design and development for both influenza and SARS-CoV-2 viruses.
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Affiliation(s)
- Samantha M. King
- Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Shane P. Bryan
- Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Shannon P. Hilchey
- Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Jiong Wang
- Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Martin S. Zand
- Department of Medicine, Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642, USA
- Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14618, USA
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16
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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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18
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Lehmann C, Pehnke S, Weimann A, Bachmann A, Dittrich K, Petzold F, Fürst D, de Fallois J, Landgraf R, Henschler R, Lindner TH, Halbritter J, Doxiadis I, Popp B, Münch J. Extended genomic HLA typing identifies previously unrecognized mismatches in living kidney transplantation. Front Immunol 2023; 14:1094862. [PMID: 36776892 PMCID: PMC9911689 DOI: 10.3389/fimmu.2023.1094862] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/12/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction Antibody mediated rejection (ABMR) is the most common cause of long-term allograft loss in kidney transplantation (KT). Therefore, a low human leukocyte antigen (HLA) mismatch (MM) load is favorable for KT outcomes. Hitherto, serological or low-resolution molecular HLA typing have been adapted in parallel. Here, we aimed to identify previously missed HLA mismatches and corresponding antibodies by high resolution HLA genotyping in a living-donor KT cohort. Methods 103 donor/recipient pairs transplanted at the University of Leipzig Medical Center between 1998 and 2018 were re-typed using next generation sequencing (NGS) of the HLA loci -A, -B, -C, -DRB1, -DRB345, -DQA1, -DQB1, -DPA1, and -DPB1. Based on these data, we compiled HLA MM counts for each pair and comparatively evaluated genomic HLA-typing with pre-transplant obtained serological/low-resolution HLA (=one-field) typing results. NGS HLA typing (=two-field) data was further used for reclassification of de novo HLA antibodies as "donor-specific". Results By two-field HLA re-typing, we were able to identify additional MM in 64.1% (n=66) of cases for HLA loci -A, -B, -C, -DRB1 and -DQB1 that were not observed by one-field HLA typing. In patients with biopsy proven ABMR, two-field calculated MM count was significantly higher than by one-field HLA typing. For additional typed HLA loci -DRB345, -DQA1, -DPA1, and -DPB1 we observed 2, 26, 3, and 23 MM, respectively. In total, 37.3% (69/185) of de novo donor specific antibodies (DSA) formation was directed against these loci (DRB345 ➔ n=33, DQA1 ➔ n=33, DPA1 ➔ n=1, DPB1 ➔ n=10). Conclusion Our results indicate that two-field HLA typing is feasible and provides significantly more sensitive HLA MM recognition in living-donor KT. Furthermore, accurate HLA typing plays an important role in graft management as it can improve discrimination between donor and non-donor HLA directed cellular and humoral alloreactivity in the long range. The inclusion of additional HLA loci against which antibodies can be readily detected, HLA-DRB345, -DQA1, -DQB1, -DPA1, and -DPB1, will allow a more precise virtual crossmatch and better prediction of potential DSA. Furthermore, in living KT, two-field HLA typing could contribute to the selection of the immunologically most suitable donors.
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Affiliation(s)
- Claudia Lehmann
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Sarah Pehnke
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Antje Weimann
- Division of Visceral Surgery and Transplantation Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Anette Bachmann
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Katalin Dittrich
- Department of Pediatric Nephrology, University of Leipzig Medical Center, Leipzig, Germany
| | - Friederike Petzold
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Daniel Fürst
- Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
| | - Jonathan de Fallois
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Ramona Landgraf
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Reinhard Henschler
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Tom H Lindner
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Jan Halbritter
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany.,Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Ilias Doxiadis
- Institute for Transfusion Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Bernt Popp
- Institute of Human Genetics, University of Leipzig, Leipzig, Germany
| | - Johannes Münch
- Division of Nephrology, Department of Internal Medicine, University of Leipzig Medical Center, Leipzig, Germany.,Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
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19
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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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20
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Wu W, Zhang H, Tan J, Fu Q, Li J, Wu C, Huang H, Xu B, Ling L, Liu L, Su X, Wang C. Eplet-Predicted Antigens: An Attempt to Introduce Eplets into Unacceptable Antigen Determination and Calculated Panel-Reactive Antibody Calculation Facilitating Kidney Allocation. Diagnostics (Basel) 2022; 12:diagnostics12122983. [PMID: 36552990 PMCID: PMC9776513 DOI: 10.3390/diagnostics12122983] [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: 09/25/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022] Open
Abstract
(1) Calculated panel-reactive antibody (CPRA) is a measure of sensitization based on unacceptable antigens (UAs). Determination of UAs based on single-antigen bead assays at allele or antigen levels may be inappropriate. We aimed to introduce eplets for better assessment of sensitization; (2) 900 recipients and 1427 donors were enrolled for candidate or donor pools, respectively. Eplets were from the HLA Epitope Registry. UAs were determined by anti-HLA antibodies identified using LIFECODES Single Antigen (LSA) kits. CPRA values were calculated using a simplified method of donor filtering; (3) HLA antigens containing all eplets of an HLA antigen in LSA kits (LSA antigen) were defined as eplet-predicted (EP) antigens, the reactivity of which could be predicted by that LSA antigen. High reactivity concordance was found between LSA and EP antigens. More HLA antigens were covered by EP antigens in the population than LSA antigens. CPRA values at the EP level were higher than at the allele level and lower than at the antigen level. The EP antigens facilitated UA determination for non-LSA antigens and avoided acute rejection; (4) UA determination using EP antigens can lead to more accurate assessment of sensitization, enabling a high probability of compatible organs and a low risk of adverse outcomes.
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Affiliation(s)
- Wenrui Wu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Huanxi Zhang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jinghong Tan
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Qian Fu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jun Li
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Chenglin Wu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Huiting Huang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Bowen Xu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Liuting Ling
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Longshan Liu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Provincial Key Laboratory on Organ Donation and Transplant Immunology, Guangzhou 510080, China
- Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), Guangzhou 510080, China
- Correspondence: (L.L.); (X.S.)
| | - Xiaojun Su
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- Correspondence: (L.L.); (X.S.)
| | - Changxi Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Provincial Key Laboratory on Organ Donation and Transplant Immunology, Guangzhou 510080, China
- Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), Guangzhou 510080, China
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21
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Lemieux W, Fleischer D, Yang AY, Niemann M, Oualkacha K, Klement W, Richard L, Polychronakos C, Liwski R, Claas F, Gebel HM, Keown PA, Lewin A, Sapir-Pichhadze R. Dissecting the impact of molecular T-cell HLA mismatches in kidney transplant failure: A retrospective cohort study. Front Immunol 2022; 13:1067075. [PMID: 36505483 PMCID: PMC9730505 DOI: 10.3389/fimmu.2022.1067075] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/08/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Kidney transplantation is the optimal treatment in end-stage kidney disease, but de-novo donor specific antibody development continues to negatively impact patients undergoing kidney transplantation. One of the recent advances in solid organ transplantation has been the definition of molecular mismatching between donors and recipients' Human Leukocyte Antigens (HLA). While not fully integrated in standard clinical care, cumulative molecular mismatch at the level of eplets (EMM) as well as the PIRCHE-II score have shown promise in predicting transplant outcomes. In this manuscript, we sought to study whether certain T-cell molecular mismatches (TcEMM) were highly predictive of death-censored graft failure (DCGF). Methods We studied a retrospective cohort of kidney donor:recipient pairs from the Scientific Registry of Transplant Recipients (2000-2015). Allele level HLA-A, B, C, DRB1 and DQB1 types were imputed from serologic types using the NMDP algorithm. TcEMMs were then estimated using the PIRCHE-II algorithm. Multivariable Accelerated Failure Time (AFT) models assessed the association between each TcEMM and DCGF. To discriminate between TcEMMs most predictive of DCGF, we fit multivariable Lasso penalized regression models. We identified co-expressed TcEMMs using weighted correlation network analysis (WGCNA). Finally, we conducted sensitivity analyses to address PIRCHE and IMGT/HLA version updates. Results A total of 118,309 donor:recipient pairs meeting the eligibility criteria were studied. When applying the PIRCHE-II algorithm, we identified 1,935 distinct TcEMMs at the population level. A total of 218 of the observed TcEMM were independently associated with DCGF by AFT models. The Lasso penalized regression model with post selection inference identified a smaller subset of 86 TcEMMs (56 and 30 TcEMM derived from HLA Class I and II, respectively) to be highly predictive of DCGF. Of the observed TcEMM, 38.14% appeared as profiles of highly co-expressed TcEMMs. In addition, sensitivity analyses identified that the selected TcEMM were congruent across IMGT/HLA versions. Conclusion In this study, we identified subsets of TcEMMs highly predictive of DCGF and profiles of co-expressed mismatches. Experimental verification of these TcEMMs determining immune responses and how they may interact with EMM as predictors of transplant outcomes would justify their consideration in organ allocation schemes and for modifying immunosuppression regimens.
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Affiliation(s)
- William Lemieux
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada,Medical Affairs & Innovation, Héma-Québec, Montréal, QC, Canada
| | - David Fleischer
- Department of Mathematics and Statistics, McGill University, Montreal, QC, Canada
| | - Archer Yi Yang
- Department of Mathematics and Statistics, McGill University, Montreal, QC, Canada
| | | | - Karim Oualkacha
- Department of Mathematics, Université du Québec à Montreal, Montreal, QC, Canada
| | - William Klement
- Division of Organ Donation and Transplantation, Canadian Blood Services, Ottawa, ON, Canada
| | - Lucie Richard
- Transfusion medicine/Reference Laboratory, Héma-Québec, Montréal, QC, Canada
| | - Constantin Polychronakos
- Department of Pediatrics, The Research Institute of the McGill University Health Centre and the Montreal Children’s Hospital, Montréal, QC, Canada
| | - Robert Liwski
- Department of Pathology, Dalhousie University, Halifax, NS, Canada
| | - Frans Claas
- Department of Immunology, Leiden University Medical Centre, Leiden, Netherlands
| | - Howard M. Gebel
- Pathology and Laboratory Medicine, Emory University, Atlanta, GA, United States
| | - Paul A. Keown
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Antoine Lewin
- Medical Affairs & Innovation, Héma-Québec, Montréal, QC, Canada,Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada,Division of Nephrology and the Multi-Organ Transplant Program, Royal Victoria Hospital, McGill University Health Centre, Montréal, QC, Canada,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada,*Correspondence: Ruth Sapir-Pichhadze,
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22
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Determining Clinical Thresholds for Donor HLA Eplet Compatibility to Predict Best Outcomes Following Lung Transplantation. Transplant Direct 2022; 8:e1364. [PMID: 36204183 PMCID: PMC9529050 DOI: 10.1097/txd.0000000000001364] [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: 02/28/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Currently, the assessment of immunological risk in lung transplantation (LTx) does not completely consider HLA compatibility at the molecular level. We have previously demonstrated the association of HLA eplets in predicting chronic lung allograft dysfunction following LTx; however, the associations between HLA eplet mismatch (epMM) loads and overall survival are unknown.
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23
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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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24
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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: 4] [Impact Index Per Article: 2.0] [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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25
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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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26
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Durgam SS, Alegre ML, Chong AS. Toward an understanding of allogeneic conflict in pregnancy and transplantation. J Exp Med 2022; 219:213135. [PMID: 35416935 PMCID: PMC9011201 DOI: 10.1084/jem.20211493] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/03/2021] [Accepted: 01/01/2022] [Indexed: 12/02/2022] Open
Abstract
Pregnancy is recognized as a spontaneously acquired state of immunological tolerance by the mother to her semi-allogeneic fetus, but it is a major cause of allosensitization in candidates for organ transplantation. This sensitization, assessed by the presence of anti-HLA IgG, contributes to sex disparity in access to transplantation and increases the risk for rejection and graft loss. Understanding this dual tolerance/sensitization conundrum may lead to new strategies for equalizing access to transplantation among sexes and improving transplant outcomes in parous women. Here, we review the clinical evidence that pregnancy results in humoral sensitization and query whether T cell responses are sensitized. Furthermore, we summarize preclinical evidence on the effects of pregnancy on fetus-specific CD4+ conventional, regulatory, and CD8+ T cells, and humoral responses. We end with a discussion on the impact of the divergent effects that pregnancy has upon alloantigen re-encounter in the context of solid organ transplantation, and how these insights point to a therapeutic roadmap for controlling pregnancy-dependent allosensitization.
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Affiliation(s)
- Samarth S Durgam
- Section of Transplantation, Department of Surgery, The University of Chicago, Chicago, IL
| | - Maria-Luisa Alegre
- Section of Rheumatology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Anita S Chong
- Section of Transplantation, Department of Surgery, The University of Chicago, Chicago, IL
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27
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Sharma A, Jorgensen DR, Mehta RB, Sood P, Puttarajappa CM, Wu CM, Tevar AD, Molinari M, Zeevi A, Hariharan S. The Clinical Impact of Anti-HLA Donor Specific Antibody Detection Through First Year Screening on Stable Kidney Transplant Recipients. Transpl Int 2022; 35:10094. [PMID: 35368641 PMCID: PMC8967948 DOI: 10.3389/ti.2022.10094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022]
Abstract
Anti-HLA Donor Specific Antibody (DSA) detection post kidney transplant has been associated with adverse outcomes, though the impact of early DSA screening on stable patients remain unclear. We analyzed impact of DSA detection through screening in 1st year stable patients (n = 736) on subsequent estimated glomerular filtration rate (eGFR), death censored graft survival (DCGS), and graft failure (graft loss including return to dialysis or re-transplant, patient death, or eGFR < 20 ml/min at last follow up). Patients were grouped using 1st year screening into DSA+ (Class I, II; n = 131) or DSA- (n = 605). DSA+ group were more DR mismatched (p = 0.02), more sensitized (cPRA ≥90%, p = 0.002), less Caucasian (p = 0.04), and had less pre-emptive (p = 0.04) and more deceased donor transplants (p = 0.03). DSA+ patients had similar eGFR (54.8 vs. 53.8 ml/min/1.73 m2, p = 0.56), DCGS (91% vs. 94%, p = 0.30), and graft failure free survival (76% vs. 82%, p = 0.11). DSA timing and type did not impact survival. Among those with a protocol biopsy (n = 515), DSA detected on 1st year screening was a predictor for graft failure on multivariate analysis (1.91, 95% CI 1.03-3.55, p = 0.04). Overall, early DSA detection in stable patients was an independent risk factor for graft failure, though only among those who underwent a protocol biopsy.
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Affiliation(s)
- Akhil Sharma
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Dana R Jorgensen
- Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Rajil B Mehta
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Puneet Sood
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Chethan M Puttarajappa
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Christine M Wu
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Amit D Tevar
- Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Michele Molinari
- Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Adriana Zeevi
- Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States.,Department of Immunology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States.,Department of Pathology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Sundaram Hariharan
- Department of Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States.,Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, United States
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28
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Jackson KR, Segev DL. Rethinking incompatibility in kidney transplantation. Am J Transplant 2022; 22:1031-1036. [PMID: 34464500 DOI: 10.1111/ajt.16826] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 08/16/2021] [Accepted: 08/26/2021] [Indexed: 01/25/2023]
Abstract
Donor/recipient incompatibility in kidney transplantation classically refers to ABO/HLA-incompatibility. Kidney paired donation (KPD) was historically established to circumvent ABO/HLA-incompatibility, with the goal of identifying ABO/HLA-compatible matches. However, there is a broad range of donor factors known to impact recipient outcomes beyond ABO/HLA-incompatibility, such as age and weight, and quantitative tools are now available to empirically compare potential living donors across many of these factors, such as the living donor kidney donor profile index (LKDPI). Moreover, the detrimental impact of mismatch at other HLA antigens (such as DQ) and epitope mismatching on posttransplant outcomes has become increasingly recognized. Thus, it is time for a new paradigm of incompatibility that considers all of these risks factors together in assessing donor/recipient compatibility and the potential utility for KPD. Under this new paradigm of incompatibility, we show how the LKDPI and other tools can be used to identify donor/recipient incompatibilities that could be improved through KPD, even for those with a traditionally "compatible" living donor.
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Affiliation(s)
- Kyle R Jackson
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dorry L Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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29
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Cheung CY, Tang SCW. Personalized immunosuppression after kidney transplantation. Nephrology (Carlton) 2022; 27:475-483. [PMID: 35238110 DOI: 10.1111/nep.14035] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/15/2022] [Accepted: 02/27/2022] [Indexed: 11/29/2022]
Abstract
With advances in immunosuppressive therapy, there have been significant improvements in acute rejection rates and short-term allograft survival in kidney transplant recipients. However, this success has not been translated into long-term benefits by the same magnitude. Optimization of immunosuppression is important to improve the clinical outcome of transplant recipients. It is important to note that each patient has unique attributes and immunosuppression management should not be a one-size-fits-all approach. Elderly transplant patients are less likely to develop acute rejection but more likely to die from infectious and cardiovascular causes than younger patients. For those with post-transplant cancers and BK polyomavirus-associated nephropathy, reduction of immunosuppression can increase the risk of rejection. Therapeutic drug monitoring (TDM) is routinely used for dosage adjustment of several immunosuppressive drugs. It has been hoped that pharmacogenetics can be used to complement TDM in optimizing drug exposure. Among the various drug-genotype pairs being investigated, tacrolimus and CYP3A5 gives the most promising results. Different studies have consistently shown that CYP3A5 expressers require a higher tacrolimus dose and take longer time to achieve target blood tacrolimus levels than nonexpressers. However, for pharmacogenetics to be widely used clinically, further trials are necessary to demonstrate the clinical benefits of genotype-guided dosing such as reduction of rejection and drug-related toxicities. The development of different biomarkers in recent years may help to achieve true personalized therapy in transplant patients.
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Affiliation(s)
- Chi Yuen Cheung
- Renal Unit, Department of Medicine, Queen Elizabeth Hospital, Hong Kong SAR
| | - Sydney Chi Wai Tang
- Division of Nephrology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR
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30
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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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31
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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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32
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Bezstarosti S, Bakker KH, Kramer CSM, de Fijter JW, Reinders MEJ, Mulder A, Claas FHJ, Heidt S. A Comprehensive Evaluation of the Antibody-Verified Status of Eplets Listed in the HLA Epitope Registry. Front Immunol 2022; 12:800946. [PMID: 35154076 PMCID: PMC8831796 DOI: 10.3389/fimmu.2021.800946] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 12/30/2021] [Indexed: 01/09/2023] Open
Abstract
Matching strategies based on HLA eplets instead of HLA antigens in solid organ transplantation may not only increase the donor pool for highly sensitized patients, but also decrease the incidence of de novo donor-specific antibody formation. However, since not all eplets are equally capable of inducing an immune response, antibody verification is needed to confirm their ability to be bound by antibodies, such that only clinically relevant eplets are considered. The HLA Epitope Registry has documented all theoretically defined HLA eplets along with their antibody verification status and has been the foundation for many clinical studies investigating eplet mismatch in transplantation. The verification methods for eplets in the Registry range from polyclonal sera from multi- and uni-parous women to murine and human monoclonal antibodies (mAbs), and antibodies purified by adsorption and elution from sera of HLA immunized individuals. The classification of antibody verification based on different methods for validation is problematic, since not all approaches represent the same level of evidence. In this study, we introduce a classification system to evaluate the level of evidence for the antibody-verified status of all eplets in the HLA Epitope Registry. We demonstrate that for a considerable number of eplets, the antibody-verified status is solely based on polyclonal serum reactivity of multiparous women or on reactivity of murine mAbs. Furthermore, we noted that a substantial proportion of patient sera analyses and human mAb data presented in the HLA Epitope Registry Database has never been published in a peer-reviewed journal. Therefore, we tested several unpublished human HLA-specific mAbs by luminex single antigen beads assay to analyze their HLA reactivity for eplet antibody verification. Although the majority of analyzed mAbs indeed verified their assigned eplets, this was not the case for a number of eplets. This comprehensive overview of evidence for antibody verification of eplets in the HLA Epitope Registry is instrumental for future investigations towards eplet immunogenicity and clinical studies considering antibody-verified eplet mismatch in transplantation and warrants further standardization of antibody verification using high quality data.
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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
| | - Kim H Bakker
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Cynthia S M Kramer
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Johan W de Fijter
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Erasmus Medical Center Transplantation Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Arend Mulder
- Department of Immunology, 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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33
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Mesenchymal stem cells transfer mitochondria to allogeneic Tregs in an HLA-dependent manner improving their immunosuppressive activity. Nat Commun 2022; 13:856. [PMID: 35165293 PMCID: PMC8844425 DOI: 10.1038/s41467-022-28338-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 01/18/2022] [Indexed: 12/15/2022] Open
Abstract
Cell-based immunotherapies can provide safe and effective treatments for various disorders including autoimmunity, cancer, and excessive proinflammatory events in sepsis or viral infections. However, to achieve this goal there is a need for deeper understanding of mechanisms of the intercellular interactions. Regulatory T cells (Tregs) are a lymphocyte subset that maintain peripheral tolerance, whilst mesenchymal stem cells (MSCs) are multipotent nonhematopoietic progenitor cells. Despite coming from different origins, Tregs and MSCs share immunoregulatory properties that have been tested in clinical trials. Here we demonstrate how direct and indirect contact with allogenic MSCs improves Tregs’ potential for accumulation of immunosuppressive adenosine and suppression of conventional T cell proliferation, making them more potent therapeutic tools. Our results also demonstrate that direct communication between Tregs and MSCs is based on transfer of active mitochondria and fragments of plasma membrane from MSCs to Tregs, an event that is HLA-dependent and associates with HLA-C and HLA-DRB1 eplet mismatch load between Treg and MSC donors. Regulatory T (Treg) cells and mesenchymal stem cells (MSCs) are both cell populations capable of immune tolerance induction. Here the authors show that the transfer of mitochondria from mesenchymal stem cells to allogeneic Treg cells in an HLA-dependent manner results in enhanced immunosuppressive functions of Treg cells.
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34
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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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35
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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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36
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Zahran S, Bourdiec A, Zhang X, Sapir-Pichhadze R. Not all eplet mismatches are created equal - A cohort study illustrating implications to long-term graft outcomes. Hum Immunol 2021; 83:225-232. [PMID: 34844785 DOI: 10.1016/j.humimm.2021.11.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/29/2021] [Accepted: 11/16/2021] [Indexed: 01/09/2023]
Abstract
We assessed implications of various eplet-compatibility strategies to death-censored graft failure (DCGF), defined as return to dialysis or re-transplantation, in a base-case scenario from the Scientific Registry of Transplant Recipients. To inform personalized care, we evaluated how recipient, donor, and transplant characteristics affect DCGF by ascending categories of eplet mismatches (EMM), and derived adjusted hazard ratios (HR). The base-case analysis demonstrated 15-year estimated survival probabilities of 77.1%, 75.4%, 73.6%, 72.2%, 74.9%, and 73.5% for the lowest EMM categories (complete epitype: 0-19, antibody-verified (AbVer) epitype and class II eplets: 0-9, class II AbVer eplets: 0-4, 55 high-risk eplets associated with DCGF: 0-3, and subset of 15 high-risk eplets validated in an independent subcohort: 0 EMM, respectively). Beyond the lowest EMM categories, the Epi15 strategy allowed better differentiation of change in DCGF risk per EMM, with additional 5.2%, 3.9% and 4.1% decrease in estimated graft survival for each additional EMM (1, 2, and ≥ 3, respectively). Recipients < 25 years, donors > 55 years, and immunosuppression regimens excluding calcineurin inhibitors and steroids, demonstrated higher HR for DCGF. High-risk EMM allowed better differentiation between DCGF probabilities per EMM, suggesting that recipients at higher risk for graft failure could benefit most from allocation schemes ensuring compatibility on these eplets.
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Affiliation(s)
- Somaya Zahran
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Amelie Bourdiec
- Centre for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, Canada
| | - Xun Zhang
- Centre for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, Canada
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, Canada; Division of Nephrology, Department of Medicine, McGill University, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics, Occupational Health, McGill University, Montreal, Quebec, Canada.
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37
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Ehlayel A, Simms KJA, Ashoor IF. Emerging monitoring technologies in kidney transplantation. Pediatr Nephrol 2021; 36:3077-3087. [PMID: 33523298 DOI: 10.1007/s00467-021-04929-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/22/2020] [Accepted: 01/06/2021] [Indexed: 11/27/2022]
Abstract
Non-invasive technologies to monitor kidney allograft health utilizing high-throughput assays of blood and urine specimens are emerging out of the research realm and slowly becoming part of everyday clinical practice. HLA epitope analysis and eplet mismatch score determination promise a more refined approach to the pre-transplant recipient-donor HLA matching that may lead to reduced rejection risk. High-resolution HLA typing and multiplex single antigen bead assays are identifying potential new offending HLA antibody subtypes. There is increasing recognition of the deleterious role non-HLA antibodies play in post-transplant outcomes. Donor-derived cell-free DNA detected by next-generation sequencing is a promising biomarker for kidney transplant rejection. Multi-omics techniques are shedding light on discrete genomic, transcriptomic, proteomic, and metabolomic signatures that correlate with and predict allograft outcomes. Over the next decade, a comprehensive approach to optimize kidney matching and monitor transplant recipients for acute and chronic graft dysfunction will likely involve a combination of those emerging technologies summarized in this review.
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Affiliation(s)
- Abdulla Ehlayel
- Children's Hospital New Orleans, 200 Henry Clay Ave, New Orleans, LA, 70118, USA
| | - K'joy J A Simms
- Children's Hospital New Orleans, 200 Henry Clay Ave, New Orleans, LA, 70118, USA
| | - Isa F Ashoor
- Children's Hospital New Orleans, 200 Henry Clay Ave, New Orleans, LA, 70118, USA.
- Department of Pediatrics, LSU Health New Orleans, 200 Henry Clay Ave, New Orleans, LA, 70118, USA.
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38
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Tang MS, Wang M, Chang SH, Alhamad T, Liu C. Association of Bw4/Bw6 mismatch across class I HLA loci with renal graft outcomes in first time transplants. Hum Immunol 2021; 82:767-774. [PMID: 34362574 DOI: 10.1016/j.humimm.2021.07.008] [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: 05/20/2021] [Revised: 07/11/2021] [Accepted: 07/13/2021] [Indexed: 11/25/2022]
Abstract
Bw4 and Bw6 are strongly immunogenic epitopes routinely assigned based on HLA-B typing results per Organ Procurement and Transplantation Network (OPTN) policies. These public epitopes and their variants are shared by some cross-reactive HLA-A and -C antigens. Although epitope mismatch has been associated with poor transplant outcomes, previous studies did not find such associations for Bw4/6 mismatch as defined by HLA-B antigens only. We hypothesized that a broader definition for Bw4/Bw6 mismatch that includes cross-reactive HLA-A and -C antigens may reveal the risk associated with these epitopes. In this retrospective cohort study, we examined kidney transplantations between 2000 and 2016 in the OPTN database and determined the association of Bw4/6 mismatch across all class I HLA antigens and renal graft outcomes. Even by this broader definition, Bw4/6 mismatch was not independently associated with 1-year graft rejection (adjusted OR: 0.99, 95%CI 0.93-1.06) or death-censored graft survival (adjusted HR: 1.02, 95%CI 1.00-1.05). There was no significant association among recipients who were already sensitized at transplant either. Our findings suggest that Bw4/6 mismatch alone is not associated with poor renal graft outcomes despite their strong immunogenicity, and the load of epitope mismatches over a certain threshold is likely required to cause adverse clinical consequences.
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Affiliation(s)
- Mei San Tang
- Department of Pathology and Immunology, Washington University in St Louis, MO, United States
| | - Mei Wang
- Division of Public Health Sciences, Department of Surgery, Washington University in St Louis, MO, United States
| | - Su-Hsin Chang
- Division of Public Health Sciences, Department of Surgery, Washington University in St Louis, MO, United States
| | - Tarek Alhamad
- Division of Nephrology, Department of Internal Medicine, Washington University in St Louis, MO, United States
| | - Chang Liu
- Department of Pathology and Immunology, Washington University in St Louis, MO, United States.
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39
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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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40
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On Path to Informing Hierarchy of Eplet Mismatches as Determinants of Kidney Transplant Loss. Kidney Int Rep 2021; 6:1567-1579. [PMID: 34169197 PMCID: PMC8207474 DOI: 10.1016/j.ekir.2021.03.877] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/08/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction To mitigate risks related to human leukocyte antigen (HLA) incompatibility, we assessed whether certain structurally defined HLA targets present in donors but absent from recipients, known as eplet mismatches (EMM), are associated with death-censored graft failure (DCGF). Methods We studied a cohort of 118,313 American 0% panel reactive antibodies (PRA) first kidney transplant recipients (2000 to 2015) from the Scientific Registry of Transplant Recipients. Imputed allele-level donor and recipient HLA-A, -B, -C, -DRB1, and -DQB1 genotypes were converted to the repertoire of EMM. We fit survival models for each EMM with significance thresholds corrected for false discovery rate and validated those in an independent PRA > 0% cohort. We conducted network-based analyses to model relationships among EMM and developed models to select the subset of EMM most predictive of DCGF. Results Of 412 EMM observed, 119 class I and 118 class II EMM were associated with DCGF. Network analysis showed that although 210 eplets formed profiles of 2 to 12 simultaneously occurring EMMs, 202 were singleton EMMs that were not involved in any profile. A variable selection procedure identified 55 single HLA class I and II EMMs in 70% of the dataset; of those, 15 EMMs (9 singleton and 6 involved in profiles) were predictive of DCGF in the remaining dataset. Conclusion Our analysis distinguished increasingly smaller subsets of EMMs associated with increased risk of DCGF. Validation of these EMMs as important predictors of transplant outcomes (in contrast to acceptable EMMs) in datasets with measured allele-level genotypes will support their role as immunodominant EMMs worthy of consideration in organ allocation schemes.
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41
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Senev A, Van Loon E, Lerut E, Callemeyn J, Coemans M, Van Sandt V, Kuypers D, Emonds MP, Naesens M. Risk factors, histopathological features, and graft outcome of transplant glomerulopathy in the absence of donor-specific HLA antibodies. Kidney Int 2021; 100:401-414. [PMID: 33675843 DOI: 10.1016/j.kint.2021.01.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 01/18/2021] [Accepted: 01/28/2021] [Indexed: 01/07/2023]
Abstract
Transplant glomerulopathy is established as a hallmark of chronic antibody-mediated rejection in kidney transplant patients with donor-specific HLA antibodies (HLA-DSA). The clinical importance of transplant glomerulopathy in the absence of HLA-DSA is not well established. To help define this, 954 patients (encompassing 3744 biopsies) who underwent kidney transplantation 2004-2013 were studied with retrospective high-resolution HLA genotyping of both donors and recipients. The risk factors, histopathological appearance and prognosis of cases with transplant glomerulopathy in the absence of HLA-DSA were compared to those cases with HLA-DSA, and the impact of the PIRCHE-II score and eplet mismatches on development of transplant glomerulopathy evaluated. In this cohort, 10.3% developed transplant glomerulopathy, on average 3.2 years post-transplant. At the time of glomerulopathy, 23.5% had persistent pre-transplant or de novo HLA-DSA, while 76.5% were HLA-DSA negative. Only HLA-DSA was identified as a risk factor for glomerulopathy development as eplet mismatches and the PIRCHE-II score did not associate. HLA-DSA negative biopsies with glomerulopathy had less interstitial inflammation, less glomerulitis, and less C4d deposition in the peritubular capillaries compared to the HLA-DSA positive biopsies with glomerulopathy. While graft function was comparable between the two groups, HLA-DSA positive glomerulopathy was associated with a significantly higher risk of graft failure compared to HLA-DSA negative glomerulopathy (Hazard Ratio 3.84; 95% confidence interval 1.94-7.59). Landmark analysis three-years post-transplant showed that HLA-DSA negative patients with glomerulopathy still had a significant increased risk of graft failure compared to patients negative for glomerulopathy (2.62; 1.46-4.72). Thus, transplant glomerulopathy often occurs in the absence of HLA-DSA, independent of HLA molecular mismatches, and represents a different phenotype with less concomitant inflammation and better graft survival compared to that developed in the presence of HLA-DSA.
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Affiliation(s)
- Aleksandar Senev
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium; Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Elisabet Van Loon
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium; Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Evelyne Lerut
- Department of Imaging and Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Jasper Callemeyn
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
| | - Maarten Coemans
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
| | - Vicky Van Sandt
- Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Dirk Kuypers
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium; Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Marie-Paule Emonds
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium; Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maarten Naesens
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium; Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.
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42
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Lemieux W, Mohammadhassanzadeh H, Klement W, Daniel C, Sapir-Pichhadze R. Matchmaker, matchmaker make me a match: Opportunities and challenges in optimizing compatibility of HLA eplets in transplantation. Int J Immunogenet 2021; 48:135-144. [PMID: 33426788 DOI: 10.1111/iji.12525] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/12/2020] [Accepted: 12/20/2020] [Indexed: 12/20/2022]
Abstract
The development of donor-specific antibodies (DSAs) is a major complication in transplantation, which is associated with inferior graft survival, impaired quality of life, and increased healthcare costs. DSA develop upon recognition of nonself HLA by the recipient's immune system. HLA molecules contain epitopes, which are the surface regions of HLA molecules recognized by antibodies. HLAMatchmaker is an algorithm for assessing donor:recipient HLA compatibility at the level of structurally defined HLA targets called eplets. The consideration of eplets, rather than the whole HLA molecule, could offer some advantages when classifying the immune risk associated with particular donor:recipient pairs. Assessing compatibility at the level of HLA eplets could decrease misclassification of post-transplant immune risk by improving specificity, when antibodies are confirmed to be directed against donor eplets missing from the recipient's repertoire of eplets. Consideration of eplets may also increase the sensitivity of immune risk assessment, when identifying mismatched eplets that could give rise to new, not previously detected, donor-specific antibodies post-transplant. Eplet matching can serve as a rational strategy for immune risk mitigation. Herein, we review the evolution of HLA (in) compatibility assessment for organ allocation. We outline challenges in the implementation of eplet-based donor:recipient matching, including unavailability of allele-level donor genotypes for 11 HLA loci at the time of organ allocation and difficulty in assessing the hierarchy of immune risk associated with particular HLA eplet mismatches. Opportunities to address some of the current shortcomings of donor genotyping and HLAMatchmaker are also discussed. While there is a demonstrated benefit in the application of HLAMatchmaker for donor: recipient HLA (in)compatibility assessment, evolving long-read genotyping methods, compilation of large data sets with allele-level genotypes, and standardization of methods to verify eplets as determinants of immune-mediated injuries are required before HLA eplet matching is implemented in organ allocation to improve upon transplant outcomes.
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Affiliation(s)
- William Lemieux
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada
| | - Hossein Mohammadhassanzadeh
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada
| | - William Klement
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada.,Canadian Blood Services, Ottawa, Ontario, Canada
| | - Claude Daniel
- Division of Hematology, McGill University Health Centre, Montréal, QC, Canada
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of McGill University Health Centre, Montréal, QC, Canada.,Division of Nephrology and the Multi-Organ Transplant Program, Royal Victoria Hospital, McGill University Health Centre, Montréal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
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43
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Senev A, Emonds M, Van Sandt V, Lerut E, Coemans M, Sprangers B, Kuypers D, Naesens M. Clinical importance of extended second field high-resolution HLA genotyping for kidney transplantation. Am J Transplant 2020; 20:3367-3378. [PMID: 32337773 PMCID: PMC7754319 DOI: 10.1111/ajt.15938] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 01/25/2023]
Abstract
The need for extended second field high-resolution (2F-HR) HLA genotyping in kidney transplantation is debated. In a cohort of 1000 kidney transplants, we evaluated the impact of different HLA genotyping levels on the assignment of donor-specific anti-HLA antibodies (DSA) and investigated whether inference of 2F-HR genotypes from low-resolution (LR) genotypes could be used to correctly assign DSA. Based on LR genotypes, 224 pretransplant DSAs were present in 140 patients and absent in 860 patients (DSAneg group). With extended 2F-HR HLA genotyping, we confirmed 173 DSA (77.2%) in 108 (77.1%) patients (2F-HRpos LRpos DSA group) and excluded DSA in 32 patients (22.9%) (2F-HRneg LRpos DSA group). Kaplan-Meier curves showed that 10-year graft survival rates were similar between the DSAneg and 2F-HRneg LRpos DSA groups (82.4% vs 93.8%; P = .27) and confirmed that DSA determined using LR typing but not confirmed using 2F-HR typing were indeed misclassified. By inferring 2F-HR genotypes using HaploStats, DSA still could not be correctly assigned in 23.3% of cases. We conclude that extended 2F-HR typing of the donor-recipient pairs is relevant for the correct assessment of DSA. Although inference of 2F-HR genotypes may improve the assessment of DSA in some cases, significant misclassification occurs, and warrants caution in using inferred HLA results for clinical and research purposes.
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Affiliation(s)
- Aleksandar Senev
- Histocompatibility and Immunogenetics LaboratoryBelgian Red Cross‐FlandersMechelenBelgium,Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Marie‐Paule Emonds
- Histocompatibility and Immunogenetics LaboratoryBelgian Red Cross‐FlandersMechelenBelgium,Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Vicky Van Sandt
- Histocompatibility and Immunogenetics LaboratoryBelgian Red Cross‐FlandersMechelenBelgium
| | - Evelyne Lerut
- Department of Imaging & PathologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Maarten Coemans
- Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Ben Sprangers
- Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium,Department of Nephrology and Renal TransplantationUniversity Hospitals LeuvenLeuvenBelgium
| | - Dirk Kuypers
- Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium,Department of Nephrology and Renal TransplantationUniversity Hospitals LeuvenLeuvenBelgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium,Department of Nephrology and Renal TransplantationUniversity Hospitals LeuvenLeuvenBelgium
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44
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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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45
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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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46
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Osorio-Jaramillo E, Claas FHJ, Zuckermann A, Laufer G, Aliabadi-Zuckermann AZ. HLA-EMMA, a tool for molecular-level HLA matching after heart transplantation. Transpl Int 2020; 33:1821-1822. [PMID: 32986244 DOI: 10.1111/tri.13755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Frans H J Claas
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands.,Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | - Andreas Zuckermann
- Division of Cardiac Surgery, Medical University of Vienna, Vienna, Austria
| | - Guenther Laufer
- Division of Cardiac Surgery, Medical University of Vienna, Vienna, Austria
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47
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Hönger G, Niemann M, Schawalder L, Jones J, van Heck MR, van de Pasch LAL, Vendelbosch S, Rozemuller EH, Hösli I, Blümel S, Schaub S. Toward defining the immunogenicity of HLA epitopes: Impact of HLA class I eplets on antibody formation during pregnancy. HLA 2020; 96:589-600. [PMID: 32829523 DOI: 10.1111/tan.14054] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 08/06/2020] [Accepted: 08/07/2020] [Indexed: 12/17/2022]
Abstract
Eplets are functional units of structural epitopes on donor HLA, potentially recognized by complementarity-determining regions of the paratope of the recipients' B-cell receptors or antibodies (Ab). Their individual immunogenicity is poorly described, yet this feature would be of clinical importance for pretransplant risk assessment. The aim of this study was to determine the relative immunogenicity of HLA class I eplets in the pregnancy setting, where mismatched eplets are present on paternal HLA antigens of the unborn child. One hundred fifty-nine predominantly Caucasian mothers giving birth at the University Hospital Basel and their first newborns were HLA-typed at high-resolution by next-generation sequencing (NGS) (NGSgo Workflow and NGSengine from GenDx; sequencing with a Miseq from Illumina) and eplets were determined using HLAMatchmaker. HLA class I specific IgG Ab was assessed in maternal sera drawn immediately after full-term delivery, by OneLambda LABScreen single antigen ibeads. The Ab profile was subsequently evaluated for eplet-associated patterns. All 72 currently Ab-verified HLA class I eplets were examined for their immunogenicity according to the frequency of child-specific HLA Ab (CSA) directed against their structures. Four hundred twelve of 477 (86.4%) paternal HLA-A, -B or -C alleles were mismatched. CSA were present in 46 mothers (28.9%), directed against 80 (19.4%) of these mismatches. The 10 most immunogenic eplets were 62GK, 145KHA, 144TKH, 62GE, 107W, 80I, 82LR, 41T, 127K, 45KE with immunogenicity rates between 45.8% and 27.3%. This pregnancy study also identified five non-reactive eplets: 62RR, 76ESN, 80TLR, 156DA, 163RW. Based on our results, immunogenic hot and cold spots on the surface of HLA class I molecules were localized and visualized on 3D models. This study strengthens the presumption that different eplets represent different immunogenic potentials. Validation of these results in the clinical transplant setting is an essential next step in identifying those eplets representing a particularly high-risk potential.
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Affiliation(s)
- 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
| | | | - Lara Schawalder
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - James Jones
- H&I Department, Royal Liverpool University Hospital, Liverpool, UK
| | | | | | | | | | - Irene Hösli
- Department of Obstetrics and Fetomaternal Medicine, University Hospital Basel, Basel, Switzerland
| | - Sarah Blümel
- Transplantation Immunology, Department of Biomedicine, University of 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
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48
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49
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Heidt S, Claas FHJ. Not all HLA epitope mismatches are equal. Kidney Int 2020; 97:653-655. [PMID: 32200859 DOI: 10.1016/j.kint.2019.12.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 12/19/2019] [Indexed: 02/06/2023]
Abstract
The future of HLA matching in solid organ transplantation lies in epitope matching. The article by Sapir-Pichhadze et al. provides indirect evidence that there is a difference in immunogenicity between antibody-verified versus non-verified eplets. However, this difference was less clear for HLA class II, showing the need for additional efforts to identify truly immunogenic HLA class II epitope mismatches.
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Affiliation(s)
- Sebastiaan Heidt
- Eurotransplant Reference Laboratory, Leiden University Medical Center, Leiden, the Netherlands.
| | - Frans H J Claas
- Eurotransplant Reference Laboratory, Leiden University Medical Center, Leiden, the Netherlands
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50
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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: 27] [Impact Index Per Article: 6.8] [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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