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González-López E, Ocejo-Vinyals JG, Renuncio-García M, Roa-Bautista A, San Segundo Arribas D, Escagedo C, García-Saiz MDM, Valero R, García-Berbel P, Ruíz San Millán JC, Rodrigo E. Donor-Derived Cell-Free DNA at 1 Month after Kidney Transplantation Relates to HLA Class II Eplet Mismatch Load. Biomedicines 2023; 11:2741. [PMID: 37893114 PMCID: PMC10604614 DOI: 10.3390/biomedicines11102741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/03/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
Kidney transplantation is the preferred therapeutic option for end-stage renal disease; however, the alloimmune response is still the leading cause of renal allograft failure. To better identify immunologic disparities in order to evaluate HLA compatibility between the donor and the recipient, the concept of eplet load has arisen. Regular kidney function monitoring is essential for the accurate and timely diagnosis of allograft rejection and the appropriate treatment. Donor-derived cell-free DNA (dd-cfDNA) has been proposed as a potential biomarker of acute rejection and graft failure in kidney transplantation. The proportion of plasma dd-cfDNA was determined in forty-two kidney patients at 1 month after transplantation. A total of eleven (26.2%) patients had a dd-cfDNA proportion of ≥1.0%. The only pretransplant variable related to dd-cfDNA > 1.0% was the HLA class II eplet mismatch load, mainly the HLA-DQB1 eplet mismatch load. Furthermore, dd-cfDNA was able to discriminate the patients with antibody-mediated rejection (AbMR) (AUC 87.3%), acute rejection (AUC 78.2%), and troubled graft (AUC 81.4%). Increased dd-cfDNA levels were associated with kidney allograft deterioration, particularly rejection, as well as a greater HLA class II eplet mismatch load. Consequently, combining dd-cfDNA determination and HLA eplet mismatch load calculation should improve the assessment of the risk of short- and long-term allograft damage.
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Affiliation(s)
- Elena González-López
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Javier Gonzalo Ocejo-Vinyals
- Immunology Department, Infectious Diseases and Clinical Microbiology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Mónica Renuncio-García
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Adriel Roa-Bautista
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - David San Segundo Arribas
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Clara Escagedo
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - María del Mar García-Saiz
- Clinical Pharmacology Department, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Rosalía Valero
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - Pilar García-Berbel
- Pathological Anatomy Department, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Juan Carlos Ruíz San Millán
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - Emilio Rodrigo
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
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González-López E, Mora-Cuesta VM, Roa-Bautista A, Comins-Boo A, Renaldo A, Irure-Ventura J, Iturbe-Fernández D, Tello-Mena S, San Segundo D, Cifrián-Martínez J, López-Hoyos M. DQA1 Eplet Mismatch Load As an Independent Risk Factor of CLAD After Lung Transplantation. Transplant Direct 2023; 9:e1513. [PMID: 37389015 PMCID: PMC10306436 DOI: 10.1097/txd.0000000000001513] [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: 03/08/2023] [Revised: 05/17/2023] [Accepted: 06/06/2023] [Indexed: 07/01/2023] Open
Abstract
Lung transplantation remains the treatment of choice for end-stage lung diseases, and recipient selection is currently based on clinical urgency, ABO compatibility, and donor size. The risk of allosensitization is classically based on HLA mismatch, but eplet mismatch load is increasingly seen to be important in long-term outcomes in solid organ transplantation. Chronic lung allograft dysfunction (CLAD) is relatively common and relevant, affecting almost 50% of patients 5 y after transplantation and being the first cause of death from the first year after transplantation. The overall class-II eplet mismatch load has been associated with CLAD development. Methods Based on clinical data, 240 lung transplant recipients were eligible for CLAD, and HLA and eplet mismatch was analyzed using the HLAMatchmaker 3.1 software. Results A total of 92 (38.3%) lung transplant recipients developed CLAD. The time free-of-CLAD was significantly decreased in patients with presence of DQA1 eplet mismatches (P = 0.015). Furthermore, when other previously described CLAD risk factors were studied in a multivariate analysis, the presence of DQA1 eplet mismatches was found to be independently associated with the early onset of CLAD. Conclusions The concept of epitope load has arisen as a new tool to better define donor-recipient immunologic compatibility. The presence of DQA1 eplet mismatches potentially would increase the likelihood of developing CLAD.
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Affiliation(s)
- Elena González-López
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | - Víctor M. Mora-Cuesta
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | - Adriel Roa-Bautista
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | - Alejandra Comins-Boo
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | - André Renaldo
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | - Juan Irure-Ventura
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | | | - Sandra Tello-Mena
- Pneumology Department, Marqués de Valdecilla University Hospital, Santander, Spain
| | - David San Segundo
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
| | | | - Marcos López-Hoyos
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, Santander, Spain
- Molecular Biology Department, Cantabrian University, Santander, Spain
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Renuncio-García M, González-López E, Carreras E, Villa J, Romón-Alonso I, Roa-Bautista A, Gutiérrez-Larrañaga M, Comins-Boo A, Irure-Ventura J, López-Hoyos M, San Segundo D. Estimation of Antibody-Verified Eplet Mismatch Load, 2-Field HLA Resolution vs Imputation in a Large Cohort of European Donors. Transplant Proc 2022; 54:2414-2418. [DOI: 10.1016/j.transproceed.2022.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 09/13/2022] [Indexed: 11/05/2022]
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Mangiola M, Ellison M, Marrari M, Bentlejewski C, Sadowski J, Zern D, Niemann M, Feingold B, Webber S, Zeevi A, Dipchand AI, Lamour JM, Mahle WT, Rossano JW, Scheel JN, Singh TP, Zuckerman WA. Immunologic Risk Stratification of Pediatric Heart Transplant Patients by Combining Hlamatchmaker and PIRCHE-II. J Heart Lung Transplant 2022; 41:952-960. [DOI: 10.1016/j.healun.2022.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 10/18/2022] Open
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Davis S, Wiebe C, Campbell K, Anobile C, Aubrey M, Stites E, Grafals M, Pomfret E, Nickerson P, Cooper JE. Adequate tacrolimus exposure modulates the impact of HLA class II molecular mismatch: a validation study in an American cohort. Am J Transplant 2021; 21:322-328. [PMID: 32888256 PMCID: PMC7821185 DOI: 10.1111/ajt.16290] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/07/2020] [Accepted: 08/24/2020] [Indexed: 02/06/2023]
Abstract
Clinicians have few tools to predict the risk of alloimmune injury that would guide immunosuppression management in renal transplant patients. We evaluated human leukocyte antigen (HLA)-DR/DQ molecular mismatch to predict de novo donor-specific antibodies (DSAs) during the first year of transplant and explored how differences in tacrolimus exposure may modulate this risk. HLA-DR and -DQ eplet mismatches were determined between 444 donor-recipient pairs in Denver, Colorado between 2007 and 2013. Previously defined mismatch thresholds stratified recipients into low- (N = 119), intermediate- (N = 153), and high- (N = 172) risk categories. The area under the curve for DSA at 1 year was 0.84 and 0.82 for HLA-DR and HLA-DQ eplet mismatches, respectively. Compared to low-risk patients, there was a graded increase in risk of DR/DQ DSA in intermediate (HR 15.39, 95% CI 2.01-118.09, p = .009) and high-risk (HR 23.81, 95% CI 3.17-178.66, p = 0.002) categories. Intermediate- and high-risk patients with a mean tacrolimus <6 ng/ml versus >8 ng/ml had increased risk of DR/DQ DSA at 1 year (HR 2.34, 95% CI 1.05-5.22, p = .04). HLA molecular mismatch represents a reproducible, objective, and clinically relevant tool to stratify patients by alloimmune risk and may help guide personalized immunosuppression management.
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Affiliation(s)
- Scott Davis
- Department of MedicineUniversity of ColoradoAuroraColoradoUSA
| | - Christopher Wiebe
- Department of MedicineRady Faculty of Health SciencesWinnipegManitobaUSA
| | | | | | | | - Erik Stites
- Department of MedicineUniversity of ColoradoAuroraColoradoUSA
| | - Monica Grafals
- Department of MedicineUniversity of ColoradoAuroraColoradoUSA
| | | | - Peter Nickerson
- Department of MedicineRady Faculty of Health SciencesWinnipegManitobaUSA
| | - James E. Cooper
- Department of MedicineUniversity of ColoradoAuroraColoradoUSA
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Wood-Trageser M, Xu Q, Zeevi A, Randhawa P, Lesniak D, Demetris A. Precision transplant pathology. Curr Opin Organ Transplant 2020; 25:412-419. [PMID: 32520786 PMCID: PMC7737245 DOI: 10.1097/mot.0000000000000772] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW Transplant pathology contributes substantially to personalized treatment of organ allograft recipients. Rapidly advancing next-generation human leukocyte antigen (HLA) sequencing and pathology are enhancing the abilities to improve donor/recipient matching and allograft monitoring. RECENT FINDINGS The present review summarizes the workflow of a prototypical patient through a pathology practice, highlighting histocompatibility assessment and pathologic review of tissues as areas that are evolving to incorporate next-generation technologies while emphasizing critical needs of the field. SUMMARY Successful organ transplantation starts with the most precise pratical donor-recipient histocompatibility matching. Next-generation sequencing provides the highest resolution donor-recipient matching and enables eplet mismatch scores and more precise monitoring of donor-specific antibodies (DSAs) that may arise after transplant. Multiplex labeling combined with hand-crafted machine learning is transforming traditional histopathology. The combination of traditional blood/body fluid laboratory tests, eplet and DSA analysis, traditional and next-generation histopathology, and -omics-based platforms enables risk stratification and identification of early subclinical molecular-based changes that precede a decline in allograft function. Needs include software integration of data derived from diverse platforms that can render the most accurate assessment of allograft health and needs for immunosuppression adjustments.
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Affiliation(s)
- M.A. Wood-Trageser
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
| | - Qinyong Xu
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
| | - A. Zeevi
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
| | - P. Randhawa
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
| | - D. Lesniak
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
| | - A.J. Demetris
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, PA 15213 USA
- Division of Liver and Transplantation Pathology, Department of Pathology, University of Pittsburgh, PA 15213, USA
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