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Balakrishnan S, Alexander MP, Schinstock C. Challenges and opportunities for designing clinical trials for antibody mediated rejection. FRONTIERS IN TRANSPLANTATION 2024; 3:1389005. [PMID: 38993760 PMCID: PMC11235363 DOI: 10.3389/frtra.2024.1389005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/25/2024] [Indexed: 07/13/2024]
Abstract
Significant progress has been made in kidney transplantation, with 1-year graft survival nearing 95%. However, long-term allograft survival remains suboptimal, with a 10-year overall graft survival rate of only 53.6% for deceased donor transplant recipients. Chronic active antibody-mediated rejection (ABMR) is a leading cause of death-censored graft loss, yet no therapy has demonstrated efficacy in large, randomized trials, despite substantial investment from pharmaceutical companies. Several clinical trials aimed to treat chronic ABMR in the past decade have yielded disappointing results or were prematurely terminated, attributed to factors including incomplete understanding of disease mechanisms, heterogeneous patient populations with comorbidities, slow disease progression, and limited patient numbers. This review aims to discuss opportunities for improving retrospective and prospective studies of ABMR, focusing on addressing heterogeneity, outcome measurement, and strategies to enhance patient enrollment to inform study design, data collection, and reporting.
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Affiliation(s)
- Suryanarayanan Balakrishnan
- Division of Hypertension and Nephrology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Mariam P. Alexander
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Carrie Schinstock
- Division of Hypertension and Nephrology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States
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2
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Lin WC, Wen MC, Hsu YC, Kuo CY, Chen TD. Banff-based histologic chronicity index is associated with graft failure but has poor interobserver reproducibility. Clin Transplant 2024; 38:e15335. [PMID: 38804610 DOI: 10.1111/ctr.15335] [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: 01/14/2024] [Revised: 04/16/2024] [Accepted: 05/01/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Antibody-mediated rejection (AMR) often leads to chronic kidney allograft damage and is a critical cause of allograft failure. The Banff classification, used to diagnose AMR, has become complex and challenging for clinicians. A Banff-based histologic chronicity index (CI) was recently proposed as a simplified prognostic indicator. Its reliability and reproducibility have not been externally validated. METHODS This study investigated 71 kidney allograft biopsies diagnosed with AMR. Interobserver reproducibility of the recently proposed CI and its components (cg, cv, ct, and ci) were assessed. The association between CI and allograft failure was analyzed, and CI cut-off values were evaluated by Cox proportional hazards regression and Kaplan-Meier estimator with log-rank test. RESULTS The study confirmed the association of CI with allograft failure, but also revealed that the assessment of CI varied between pathologists, impacting its reproducibility as a prognostic tool. Only 49 (69.0%) of the biopsies showed complete agreement on the proposed cut-off value of CI < 4 or CI ≥ 4. Furthermore, this cut-off did not reliably stratify allograft failure. Notably, the cg score, which carries significant weight in the CI calculation, had the lowest agreement between observers (kappa = .281). CONCLUSIONS While a simplified prognostic indicator for AMR is needed, this study highlights the limitations of CI, particularly its poor interobserver reproducibility. Our findings suggest that clinicians should interpret CI cautiously and consider establishing their own cut-off values. This study underscores the need to address interobserver reproducibility before CI can be widely adopted for AMR management.
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Affiliation(s)
- Wei-Chou Lin
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Mei-Chin Wen
- Department of Pathology, China Medical University Hsinchu Hospital, Hsinchu, Taiwan
| | - Yong-Chen Hsu
- Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chien-Yi Kuo
- Department of Anatomic Pathology, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
| | - Tai-Di Chen
- Department of Anatomic Pathology, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
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3
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de Nattes T, Beadle J, Roufosse C. Biopsy-based transcriptomics in the diagnosis of kidney transplant rejection. Curr Opin Nephrol Hypertens 2024; 33:273-282. [PMID: 38411022 PMCID: PMC10990030 DOI: 10.1097/mnh.0000000000000974] [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] [Indexed: 02/28/2024]
Abstract
PURPOSE OF REVIEW The last year has seen considerable progress in translational research exploring the clinical utility of biopsy-based transcriptomics of kidney transplant biopsies to enhance the diagnosis of rejection. This review will summarize recent findings with a focus on different platforms, potential clinical applications, and barriers to clinical adoption. RECENT FINDINGS Recent literature has focussed on using biopsy-based transcriptomics to improve diagnosis of rejection, in particular antibody-mediated rejection. Different techniques of gene expression analysis (reverse transcriptase quantitative PCR, microarrays, probe-based techniques) have been used either on separate samples with ideally preserved RNA, or on left over tissue from routine biopsy processing. Despite remarkable consistency in overall patterns of gene expression, there is no consensus on acceptable indications, or whether biopsy-based transcriptomics adds significant value at reasonable cost to current diagnostic practice. SUMMARY Access to biopsy-based transcriptomics will widen as regulatory approvals for platforms and gene expression models develop. Clinicians need more evidence and guidance to inform decisions on how to use precious biopsy samples for biopsy-based transcriptomics, and how to integrate results with standard histology-based diagnosis.
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Affiliation(s)
- Tristan de Nattes
- Univ Rouen Normandie, INSERM U1234, CHU Rouen, Department of Nephrology, Rouen, France
| | - Jack Beadle
- Centre for Inflammatory Diseases, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Candice Roufosse
- Centre for Inflammatory Diseases, Department of Immunology and Inflammation, Imperial College London, London, UK
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4
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Mengel M, Adam BA. Emerging phenotypes in kidney transplant rejection. Curr Opin Organ Transplant 2024; 29:97-103. [PMID: 38032262 DOI: 10.1097/mot.0000000000001130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
PURPOSE OF REVIEW This review focuses on more recently emerging rejection phenotypes in the context of time post transplantation and the resulting differential diagnostic challenges. It also discusses how novel ancillary diagnostic tools can potentially increase the accuracy of biopsy-based rejection diagnosis. RECENT FINDINGS With advances in reducing immunological risk at transplantation and improved immunosuppression treatment renal allograft survival improved. However, allograft rejection remains a major challenge and represent a frequent course for allograft failure. With prolonged allograft survival, novel phenotypes of rejection are emerging, which can show complex overlap and transition between cellular and antibody-mediated rejection mechanisms as well as mixtures of acute/active and chronic diseases. With the emerging complexity in rejection phenotypes, it is crucial to achieve diagnostic accuracy in the individual patient. SUMMARY The prospective validation and adoption of novel molecular and computational diagnostic tools into well defined and appropriate clinical context of uses will improve our ability to accurately diagnose, stage, and grade allograft rejection.
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Affiliation(s)
- Michael Mengel
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, Alberta, Canada
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5
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Naesens M, Roufosse C, Haas M, Lefaucheur C, Mannon RB, Adam BA, Aubert O, Böhmig GA, Callemeyn J, Clahsen-van Groningen M, Cornell LD, Demetris AJ, Drachenberg CB, Einecke G, Fogo AB, Gibson IW, Halloran P, Hidalgo LG, Horsfield C, Huang E, Kikić Ž, Kozakowski N, Nankivell B, Rabant M, Randhawa P, Riella LV, Sapir-Pichhadze R, Schinstock C, Solez K, Tambur AR, Thaunat O, Wiebe C, Zielinski D, Colvin R, Loupy A, Mengel M. The Banff 2022 Kidney Meeting Report: Reappraisal of microvascular inflammation and the role of biopsy-based transcript diagnostics. Am J Transplant 2024; 24:338-349. [PMID: 38032300 DOI: 10.1016/j.ajt.2023.10.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/04/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023]
Abstract
The XVI-th Banff Meeting for Allograft Pathology was held at Banff, Alberta, Canada, from 19th to 23rd September 2022, as a joint meeting with the Canadian Society of Transplantation. To mark the 30th anniversary of the first Banff Classification, premeeting discussions were held on the past, present, and future of the Banff Classification. This report is a summary of the meeting highlights that were most important in terms of their effect on the Classification, including discussions around microvascular inflammation and biopsy-based transcript analysis for diagnosis. In a postmeeting survey, agreement was reached on the delineation of the following phenotypes: (1) "Probable antibody-mediated rejection (AMR)," which represents donor-specific antibodies (DSA)-positive cases with some histologic features of AMR but below current thresholds for a definitive AMR diagnosis; and (2) "Microvascular inflammation, DSA-negative and C4d-negative," a phenotype of unclear cause requiring further study, which represents cases with microvascular inflammation not explained by DSA. Although biopsy-based transcript diagnostics are considered promising and remain an integral part of the Banff Classification (limited to diagnosis of AMR), further work needs to be done to agree on the exact classifiers, thresholds, and clinical context of use.
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Affiliation(s)
- Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
| | - Candice Roufosse
- Department of Immunology and Inflammation, Faculty Medicine, Imperial College London, London, UK.
| | - Mark Haas
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Carmen Lefaucheur
- Université Paris Cité, INSERM, PARCC, Paris Institute for Transplantation and Organ Regeneration, France & Department of Nephrology and Transplantation, Saint-Louis Hospital, Paris, France
| | | | - Benjamin A Adam
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
| | - Olivier Aubert
- Université Paris Cité, INSERM, PARCC, Paris Institute for Transplantation and Organ Regeneration, France & Department of Transplantation, Necker Hospital, Paris, France
| | - Georg A Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Jasper Callemeyn
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Marian Clahsen-van Groningen
- Department of Pathology and Clinical Bioinformatics, Erasmus University Center Rotterdam, Rotterdam, The Netherlands, Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
| | - Lynn D Cornell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Anthony J Demetris
- UPMC Hepatic and Transplantation Pathology, Pittsburgh, Pennsylvania, USA
| | | | - Gunilla Einecke
- Department of Nephrology and Rheumatology, University Medical Center Göttingen, Göttingen, Germany
| | - Agnes B Fogo
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian W Gibson
- Department of Pathology, University of Manitoba, Winnipeg, Canada
| | - Philip Halloran
- Department of Medicine, Alberta Transplant Applied Genomics Centre, Heritage Medical Research Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Luis G Hidalgo
- Department of Surgery, University of Wisconsin, Madison, Wisconsin, USA
| | | | - Edmund Huang
- Department of Medicine, Division of Nephrology, Cedars-Sinai Medical Center, West Hollywood, California, USA
| | - Željko Kikić
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | | | - Brian Nankivell
- Department of Renal Medicine, Westmead Hospital, Westmead, New South Wales, Australia
| | - Marion Rabant
- Pathology department, Necker-Enfants Malades Hospital, Paris, France
| | - Parmjeet Randhawa
- Department of Pathology, Thomas E. Starzl Transplant Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Leonardo V Riella
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ruth Sapir-Pichhadze
- Division of Nephrology & Multi-Organ Transplant Program, McGill University, Montreal, Quebec, Canada
| | - Carrie Schinstock
- Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Kim Solez
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Anat R Tambur
- Comprehensive Transplant Center, Northwestern University, Chicago, Illinois, USA
| | - Olivier Thaunat
- Department of Transplantation Nephrology and Clinical Immunology, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France
| | - Chris Wiebe
- Department of Medicine and Department of Immunology, University of Manitoba, Winnipeg, Canada
| | - Dina Zielinski
- Université Paris Cité, INSERM, PARCC, Paris Institute for Transplantation and Organ Regeneration, France & Department of Transplantation, Necker Hospital, Paris, France
| | - Robert Colvin
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alexandre Loupy
- Université Paris Cité, INSERM, PARCC, Paris Institute for Transplantation and Organ Regeneration, France & Department of Transplantation, Necker Hospital, Paris, France
| | - Michael Mengel
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
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van den Broek DAJ, Meziyerh S, Budde K, Lefaucheur C, Cozzi E, Bertrand D, López del Moral C, Dorling A, Emonds MP, Naesens M, de Vries APJ. The Clinical Utility of Post-Transplant Monitoring of Donor-Specific Antibodies in Stable Renal Transplant Recipients: A Consensus Report With Guideline Statements for Clinical Practice. Transpl Int 2023; 36:11321. [PMID: 37560072 PMCID: PMC10408721 DOI: 10.3389/ti.2023.11321] [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: 03/01/2023] [Accepted: 06/22/2023] [Indexed: 08/11/2023]
Abstract
Solid phase immunoassays improved the detection and determination of the antigen-specificity of donor-specific antibodies (DSA) to human leukocyte antigens (HLA). The widespread use of SPI in kidney transplantation also introduced new clinical dilemmas, such as whether patients should be monitored for DSA pre- or post-transplantation. Pretransplant screening through SPI has become standard practice and DSA are readily determined in case of suspected rejection. However, DSA monitoring in recipients with stable graft function has not been universally established as standard of care. This may be related to uncertainty regarding the clinical utility of DSA monitoring as a screening tool. This consensus report aims to appraise the clinical utility of DSA monitoring in recipients without overt signs of graft dysfunction, using the Wilson & Junger criteria for assessing the validity of a screening practice. To assess the evidence on DSA monitoring, the European Society for Organ Transplantation (ESOT) convened a dedicated workgroup, comprised of experts in transplantation nephrology and immunology, to review relevant literature. Guidelines and statements were developed during a consensus conference by Delphi methodology that took place in person in November 2022 in Prague. The findings and recommendations of the workgroup on subclinical DSA monitoring are presented in this article.
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Affiliation(s)
- Dennis A. J. van den Broek
- Division of Nephrology, Department of Medicine, Leiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, Netherlands
| | - Soufian Meziyerh
- Division of Nephrology, Department of Medicine, Leiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, Netherlands
| | - Klemens Budde
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Carmen Lefaucheur
- Paris Translational Research Center for Organ Transplantation, Kidney Transplant Department, Saint Louis Hospital, Université de Paris Cité, Paris, France
| | - Emanuele Cozzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, Transplant Immunology Unit, Padua University Hospital, Padua, Italy
| | - Dominique Bertrand
- Department of Nephrology, Transplantation and Hemodialysis, Rouen University Hospital, Rouen, France
| | - Covadonga López del Moral
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
- Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Anthony Dorling
- Department of Inflammation Biology, Centre for Nephrology, Urology and Transplantation, School of Immunology & Microbial Sciences, King’s College London, Guy’s Hospital, London, United Kingdom
| | - Marie-Paule Emonds
- Histocompatibility and Immunogenetics Laboratory (HILA), Belgian Red Cross-Flanders, Mechelen, Belgium
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Aiko P. J. de Vries
- Division of Nephrology, Department of Medicine, Leiden Transplant Center, Leiden University Medical Center, Leiden University, Leiden, Netherlands
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7
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Tamargo CL, Kant S. Pathophysiology of Rejection in Kidney Transplantation. J Clin Med 2023; 12:4130. [PMID: 37373823 DOI: 10.3390/jcm12124130] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/07/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Kidney transplantation has been the optimal treatment for end-stage kidney disease for almost 70 years, with increasing frequency over this period. Despite the prevalence of the procedure, allograft rejection continues to impact transplant recipients, with consequences ranging from hospitalization to allograft failure. Rates of rejection have declined over time, which has been largely attributed to developments in immunosuppressive therapy, understanding of the immune system, and monitoring. Developments in these therapies, as well as an improved understanding of rejection risk and the epidemiology of rejection, are dependent on a foundational understanding of the pathophysiology of rejection. This review explains the interconnected mechanisms behind antibody-mediated and T-cell-mediated rejection and highlights how these processes contribute to outcomes and can inform future progress.
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Affiliation(s)
- Christina L Tamargo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Sam Kant
- Division of Nephrology & Comprehensive Transplant Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
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8
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Yoo D, Goutaudier V, Divard G, Gueguen J, Astor BC, Aubert O, Raynaud M, Demir Z, Hogan J, Weng P, Smith J, Garro R, Warady BA, Zahr RS, Sablik M, Twombley K, Couzi L, Berney T, Boyer O, Duong-Van-Huyen JP, Giral M, Alsadi A, Gourraud PA, Morelon E, Le Quintrec M, Brouard S, Legendre C, Anglicheau D, Villard J, Zhong W, Kamar N, Bestard O, Djamali A, Budde K, Haas M, Lefaucheur C, Rabant M, Loupy A. An automated histological classification system for precision diagnostics of kidney allografts. Nat Med 2023; 29:1211-1220. [PMID: 37142762 DOI: 10.1038/s41591-023-02323-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 03/28/2023] [Indexed: 05/06/2023]
Abstract
For three decades, the international Banff classification has been the gold standard for kidney allograft rejection diagnosis, but this system has become complex over time with the integration of multimodal data and rules, leading to misclassifications that can have deleterious therapeutic consequences for patients. To improve diagnosis, we developed a decision-support system, based on an algorithm covering all classification rules and diagnostic scenarios, that automatically assigns kidney allograft diagnoses. We then tested its ability to reclassify rejection diagnoses for adult and pediatric kidney transplant recipients in three international multicentric cohorts and two large prospective clinical trials, including 4,409 biopsies from 3,054 patients (62.05% male and 37.95% female) followed in 20 transplant referral centers in Europe and North America. In the adult kidney transplant population, the Banff Automation System reclassified 83 out of 279 (29.75%) antibody-mediated rejection cases and 57 out of 105 (54.29%) T cell-mediated rejection cases, whereas 237 out of 3,239 (7.32%) biopsies diagnosed as non-rejection by pathologists were reclassified as rejection. In the pediatric population, the reclassification rates were 8 out of 26 (30.77%) for antibody-mediated rejection and 12 out of 39 (30.77%) for T cell-mediated rejection. Finally, we found that reclassification of the initial diagnoses by the Banff Automation System was associated with an improved risk stratification of long-term allograft outcomes. This study demonstrates the potential of an automated histological classification to improve transplant patient care by correcting diagnostic errors and standardizing allograft rejection diagnoses.ClinicalTrials.gov registration: NCT05306795 .
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Affiliation(s)
- Daniel Yoo
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
| | - Valentin Goutaudier
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Gillian Divard
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Juliette Gueguen
- Néphrologie-Immunologie Clinique, Hôpital Bretonneau, CHU Tours, Tours, France
| | - Brad C Astor
- Division of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Olivier Aubert
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Marc Raynaud
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
| | - Zeynep Demir
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Pediatric Hepatology Unit-Liver Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Julien Hogan
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Division of Pediatric Nephrology, Robert Debré Hospital, APHP, Paris, France
| | - Patricia Weng
- Pediatric Nephrology, David Geffen School of Medicine at UCLA, UCLA Mattel Children's Hospital, Los Angeles, CA, USA
| | - Jodi Smith
- Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, WA, USA
| | - Rouba Garro
- Division of Pediatric Nephrology, Emory University School of Medicine, Children's Pediatric Institute, Atlanta, GA, USA
| | - Bradley A Warady
- Division of Pediatric Nephrology, University of Kansas City, Children's Mercy Hospital, Kansas City, MO, USA
| | - Rima S Zahr
- Division of Pediatric Nephrology and Hypertension, University of Tennessee Health Science Center, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - Marta Sablik
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
| | - Katherine Twombley
- Acute Dialysis Units, Pediatric Kidney Transplant, Medical University of South Carolina, Charleston, SC, USA
| | - Lionel Couzi
- Department of Nephrology, Transplantation, Dialysis and Apheresis, CHU Bordeaux, Bordeaux, France
| | - Thierry Berney
- Division of Abdominal and Transplantation Surgery, Department of Surgery, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Olivia Boyer
- Division of Pediatric Nephrology, Necker Hospital, Université Paris Cité, Paris, France
| | - Jean-Paul Duong-Van-Huyen
- Department of Pathology, Necker-Enfants Malades Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Magali Giral
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Alaa Alsadi
- Department of Pathology, University of Wisconsin, Madison, WI, USA
| | - Pierre A Gourraud
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Emmanuel Morelon
- Department of Transplantation, Edouard Herriot University Hospital, Hospices Civils de Lyon, University Lyon, University of Lyon I, Lyon, France
| | - Moglie Le Quintrec
- Department of Nephrology, Centre Hospitalier Universitaire Montpellier, Montpellier, France
| | - Sophie Brouard
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Christophe Legendre
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Dany Anglicheau
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Jean Villard
- Division of Transplantation Immunology, University Hospital of Geneva, Geneva, Switzerland
| | - Weixiong Zhong
- Department of Pathology, University of Wisconsin, Madison, WI, USA
| | - Nassim Kamar
- Department of Nephrology-Dialysis-Transplantation, Centre Hospitalier, Universitaire de Toulouse, Toulouse, France
| | - Oriol Bestard
- Department of Nephrology and Kidney Transplantation, Vall d'Hebrón University Hospital, Barcelona, Spain
| | - Arjang Djamali
- Department of Medicine, Maine Medical Center, Portland, ME, USA
| | - Klemens Budde
- Department of Nephrology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin, Germany
| | - Mark Haas
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Carmen Lefaucheur
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Marion Rabant
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
- Department of Pathology, Necker-Enfants Malades Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Alexandre Loupy
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France.
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
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9
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de Nattes T, Beadle J, Toulza F, Candon E, Ruminy P, François A, Bertrand D, Guerrot D, Drieux F, Roufosse C, Candon S. A Simple Molecular Tool for the Assessment of Kidney Transplant Biopsies. Clin J Am Soc Nephrol 2023; 18:499-509. [PMID: 36723289 PMCID: PMC10103338 DOI: 10.2215/cjn.0000000000000100] [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: 08/26/2022] [Accepted: 01/17/2023] [Indexed: 02/02/2023]
Abstract
BACKGROUND The Banff Classification for Allograft Pathology recommendations for the diagnosis of kidney transplant rejection includes molecular assessment of the transplant biopsy. However, implementation of molecular tools in clinical practice is still limited, partly due to the required expertise and financial investment. The reverse transcriptase multiplex ligation-dependent probe amplification (RT-MLPA) assay is a simple, rapid, and inexpensive assay that permits simultaneous evaluation of a restricted gene panel using paraffin-embedded tissue blocks. The aim of this study was to develop and validate a RT-MLPA assay for diagnosis and classification of rejection. METHODS A retrospective cohort of 220 kidney transplant biopsies from two centers, which included 52 antibody-mediated rejection, 51 T-cell-mediated rejection, and 117 no-rejection controls, was assessed. A 17-gene panel was identified on the basis of relevant pathophysiological pathways. A support vector machine classifier was developed. A subset of 109 biopsies was also assessed using the Nanostring Banff Human Organ Transplant panel to compare the two assays. RESULTS The support vector machine classifier train and test accuracy scores were 0.84 and 0.83, respectively. In the test cohort, the F1 score for antibody-mediated rejection, T-cell-mediated rejection, and control were 0.88, 0.86, and 0.69, respectively. Using receiver-operating characteristic curves, the area under the curve for class predictions was 0.96, 0.89, and 0.91, respectively, with a weighted average at 0.94. Classifiers' performances were highest for antibody-mediated rejection diagnosis with 94% correct predictions, compared with 88% correct predictions for control biopsies and 60% for T-cell-mediated rejection biopsies. Gene expression levels assessed by RT-MLPA and Nanostring were correlated: r = 0.68, P < 0.001. Equivalent gene expression profiles were obtained with both assays in 81% of the samples. CONCLUSIONS The 17-gene panel RT-MLPA assay, developed here for formalin-fixed paraffin-embedded kidney transplant biopsies, classified kidney transplant rejection with an overall accurate prediction ratio of 0.83. PODCAST This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_04_10_CJN10100822.mp3.
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Affiliation(s)
- Tristan de Nattes
- Nephrology – Kidney Transplant Unit, Rouen University Hospital, Rouen, France
- Univ Rouen Normandie, INSERM U1234, Rouen, France
- Department of Immunology and Inflammation, Centre for Inflammatory Diseases, Imperial College, London, United Kingdom
| | - Jack Beadle
- Department of Immunology and Inflammation, Centre for Inflammatory Diseases, Imperial College, London, United Kingdom
| | - Frederic Toulza
- Department of Immunology and Inflammation, Centre for Inflammatory Diseases, Imperial College, London, United Kingdom
| | - Edvin Candon
- Nephrology – Kidney Transplant Unit, Rouen University Hospital, Rouen, France
| | - Philippe Ruminy
- Univ Rouen Normandie, INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Arnaud François
- Pathology Department, Rouen University Hospital, Rouen, France
| | - Dominique Bertrand
- Nephrology – Kidney Transplant Unit, Rouen University Hospital, Rouen, France
| | - Dominique Guerrot
- Nephrology – Kidney Transplant Unit, Rouen University Hospital, Rouen, France
| | - Fanny Drieux
- Univ Rouen Normandie, INSERM U1245, Centre Henri Becquerel, Rouen, France
- Pathology Department, Rouen University Hospital, Rouen, France
| | - Candice Roufosse
- Department of Immunology and Inflammation, Centre for Inflammatory Diseases, Imperial College, London, United Kingdom
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10
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Haas M, Mirocha J, Huang E, Najjar R, Peng A, Sethi S, Vo A, Anglicheau D, Jordan SC, Rabant M. A Banff-based histologic chronicity index is associated with graft loss in patients with a kidney transplant and antibody-mediated rejection. Kidney Int 2023; 103:187-195. [PMID: 36332728 DOI: 10.1016/j.kint.2022.09.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/19/2022] [Accepted: 09/16/2022] [Indexed: 11/15/2022]
Abstract
Antibody-mediated rejection (AMR) is the major cause of graft loss in kidney transplant recipients. The Banff classification defines two classes of AMR, active and chronic active but over time this classification has become increasingly complex. To simplify the approach to AMR, we developed activity and chronicity indices based on kidney transplant biopsy findings and examined their association with graft survival in 147 patients with active or chronic active AMR, all of whom had donor-specific antibodies and were treated for AMR. The activity index was determined as the sum of Banff glomerulitis (g), peritubular capillaritis (ptc), arteritis (v) and C4d scores, with a maximum score of 12. The chronicity index was the sum of interstitial fibrosis (ci), tubular atrophy (ct), chronic vasculopathy (cv), and chronic glomerulopathy (cg) scores, the latter doubled, with a maximum score of 15. While the activity index was generally not associated with graft loss, the chronicity index was significantly associated with graft loss with an optimal threshold value of 4 or greater for predicting graft loss. The association of the chronicity index of 4 or greater with graft loss was independent of other parameters associated with graft loss, including the estimated glomerular filtration rate at the time of biopsy, chronic active (versus active) AMR, AMR with de novo (versus persistent/rebound) donor-specific antibodies, Banff (g+ptc) scores, concurrent T cell-mediated rejection and donor-specific antibody reduction post-biopsy. The association of the chronicity index of 4 or greater with graft loss was confirmed in an independent cohort of 61 patients from Necker Hospital, Paris. Thus, our findings suggest that the chronicity index may be valuable as a simplified approach to decision-making in patients with AMR.
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Affiliation(s)
- Mark Haas
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
| | - James Mirocha
- General Clinical Research Center, Clinical & Translational Science Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Edmund Huang
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Reiad Najjar
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Alice Peng
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Supreet Sethi
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ashley Vo
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Dany Anglicheau
- Deparment of Nephrology and Kidney Transplantation, Necker-Enfants Malades Hospital, AP-HP, INSERM U1151, Université Paris Cite, Paris, France
| | - Stanley C Jordan
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Marion Rabant
- Department of Pathology, Necker-Enfants Malades Hospital, AP-HP, Université Paris Cite, Paris, France
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11
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Labriffe M, Woillard JB, Gwinner W, Braesen JH, Anglicheau D, Rabant M, Koshy P, Naesens M, Marquet P. Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical data. Am J Transplant 2022; 22:2821-2833. [PMID: 36062389 DOI: 10.1111/ajt.17192] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 01/25/2023]
Abstract
Interpretation of kidney graft biopsies using the Banff classification is still heterogeneous. In this study, extreme gradient boosting classifiers learned from two large training datasets (n = 631 and 304 cases) where the "reference diagnoses" were not strictly defined following the Banff rules but from central reading by expert pathologists and further interpreted consensually by experienced transplant nephrologists, in light of the clinical context. In three external validation datasets (n = 3744, 589, and 360), the classifiers yielded a mean ROC curve AUC (95%CI) of: 0.97 (0.92-1.00), 0.97 (0.96-0.97), and 0.95 (0.93-0.97) for antibody-mediated rejection (ABMR); 0.94 (0.91-0.96), 0.94 (0.92-0.95), and 0.91 (0.88-0.95) for T cell-mediated rejection; >0.96 (0.90-1.00) with all three for interstitial fibrosis-tubular atrophy. We also developed a classifier to discriminate active and chronic active ABMR with 95% accuracy. In conclusion, we built highly sensitive and specific artificial intelligence classifiers able to interpret kidney graft scoring together with a few clinical data and automatically diagnose rejection, with excellent concordance with the Banff rules and reference diagnoses made by a group of experts. Some discrepancies may point toward possible improvements that could be made to the Banff classification.
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Affiliation(s)
- Marc Labriffe
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France.,Department of Pharmacology, Toxicology and Pharmacovigilance, CHU de Limoges, Limoges, France
| | - Jean-Baptiste Woillard
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France.,Department of Pharmacology, Toxicology and Pharmacovigilance, CHU de Limoges, Limoges, France
| | - Wilfried Gwinner
- Nephrology, Internal Medicine, Hannover Medical School, Hannover, Germany
| | - Jan-Hinrich Braesen
- Institute for Pathology, Nephropathology Unit, Hannover Medical School, Germany
| | - Dany Anglicheau
- Université de Paris, Paris, France.,INSERM U1151, Paris, France.,Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Marion Rabant
- Department of Pathology, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Priyanka Koshy
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Maarten Naesens
- Nephrology and Renal Transplantation Research Group, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.,Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Pierre Marquet
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France.,Department of Pharmacology, Toxicology and Pharmacovigilance, CHU de Limoges, Limoges, France
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12
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Mengel M. Humans versus machines: Who learns faster? Editorial regarding: "Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical data". Am J Transplant 2022; 22:2719-2720. [PMID: 36281558 DOI: 10.1111/ajt.17211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 09/19/2022] [Accepted: 09/22/2022] [Indexed: 01/25/2023]
Affiliation(s)
- Michael Mengel
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, Alberta, Canada
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13
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Comparison of artificial intelligence and human-based prediction and stratification of the risk of long-term kidney allograft failure. COMMUNICATIONS MEDICINE 2022; 2:150. [PMID: 36418380 PMCID: PMC9684574 DOI: 10.1038/s43856-022-00201-9] [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: 01/21/2022] [Accepted: 10/14/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Clinical decisions are mainly driven by the ability of physicians to apply risk stratification to patients. However, this task is difficult as it requires complex integration of numerous parameters and is impacted by patient heterogeneity. We sought to evaluate the ability of transplant physicians to predict the risk of long-term allograft failure and compare them to a validated artificial intelligence (AI) prediction algorithm. METHODS We randomly selected 400 kidney transplant recipients from a qualified dataset of 4000 patients. For each patient, 44 features routinely collected during the first-year post-transplant were compiled in an electronic health record (EHR). We enrolled 9 transplant physicians at various career stages. At 1-year post-transplant, they blindly predicted the long-term graft survival with probabilities for each patient. Their predictions were compared with those of a validated prediction system (iBox). We assessed the determinants of each physician's prediction using a random forest survival model. RESULTS Among the 400 patients included, 84 graft failures occurred at 7 years post-evaluation. The iBox system demonstrates the best predictive performance with a discrimination of 0.79 and a median calibration error of 5.79%, while physicians tend to overestimate the risk of graft failure. Physicians' risk predictions show wide heterogeneity with a moderate intraclass correlation of 0.58. The determinants of physicians' prediction are disparate, with poor agreement regardless of their clinical experience. CONCLUSIONS This study shows the overall limited performance and consistency of physicians to predict the risk of long-term graft failure, demonstrated by the superior performances of the iBox. This study supports the use of a companion tool to help physicians in their prognostic judgement and decision-making in clinical care.
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14
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Pang Q, Chen H, Wu H, Wang Y, An C, Lai S, Xu J, Wang R, Zhou J, Xiao H. N6-methyladenosine regulators-related immune genes enable predict graft loss and discriminate T-cell mediate rejection in kidney transplantation biopsies for cause. Front Immunol 2022; 13:1039013. [PMID: 36483557 PMCID: PMC9722771 DOI: 10.3389/fimmu.2022.1039013] [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: 09/07/2022] [Accepted: 11/01/2022] [Indexed: 11/23/2022] Open
Abstract
Objective The role of m6A modification in kidney transplant-associated immunity, especially in alloimmunity, still remains unknown. This study aims to explore the potential value of m6A-related immune genes in predicting graft loss and diagnosing T cell mediated rejection (TCMR), as well as the possible role they play in renal graft dysfunction. Methods Renal transplant-related cohorts and transcript expression data were obtained from the GEO database. First, we conducted correlation analysis in the discovery cohort to identify the m6A-related immune genes. Then, lasso regression and random forest were used respectively to build prediction models in the prognosis and diagnosis cohort, to predict graft loss and discriminate TCMR in dysfunctional renal grafts. Connectivity map (CMap) analysis was applied to identify potential therapeutic compounds for TCMR. Results The prognostic prediction model effectively predicts the prognosis and survival of renal grafts with clinical indications (P< 0.001) and applies to both rejection and non-rejection situations. The diagnostic prediction model discriminates TCMR in dysfunctional renal grafts with high accuracy (area under curve = 0.891). Meanwhile, the classifier score of the diagnostic model, as a continuity index, is positively correlated with the severity of main pathological injuries of TCMR. Furthermore, it is found that METTL3, FTO, WATP, and RBM15 are likely to play a pivotal part in the regulation of immune response in TCMR. By CMap analysis, several small molecular compounds are found to be able to reverse TCMR including fenoldopam, dextromethorphan, and so on. Conclusions Together, our findings explore the value of m6A-related immune genes in predicting the prognosis of renal grafts and diagnosis of TCMR.
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Affiliation(s)
- Qidan Pang
- Department of Nephrology, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Hong Chen
- Department of General Surgery/Gastrointestinal Surgery, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Hang Wu
- Department of Nephrology, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Yong Wang
- Department of General Surgery/Gastrointestinal Surgery, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Changyong An
- Department of General Surgery/Gastrointestinal Surgery, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Suhe Lai
- Department of General Surgery/Gastrointestinal Surgery, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Jia Xu
- Department of Nephrology, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Ruiqiong Wang
- Department of Nephrology, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Zhou
- Department of Nephrology, Bishan Hospital of Chongqing Medical University, Chongqing, China,*Correspondence: Hanyu Xiao, ; Juan Zhou,
| | - Hanyu Xiao
- Department of General Surgery/Gastrointestinal Surgery, Bishan Hospital of Chongqing Medical University, Chongqing, China,*Correspondence: Hanyu Xiao, ; Juan Zhou,
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15
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Hermsen M, Ciompi F, Adefidipe A, Denic A, Dendooven A, Smith BH, van Midden D, Bräsen JH, Kers J, Stegall MD, Bándi P, Nguyen T, Swiderska-Chadaj Z, Smeets B, Hilbrands LB, van der Laak JAWM. Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies. THE AMERICAN JOURNAL OF PATHOLOGY 2022; 192:1418-1432. [PMID: 35843265 DOI: 10.1016/j.ajpath.2022.06.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 06/13/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
In kidney transplant biopsies, both inflammation and chronic changes are important features that predict long-term graft survival. Quantitative scoring of these features is important for transplant diagnostics and kidney research. However, visual scoring is poorly reproducible and labor intensive. The goal of this study was to investigate the potential of convolutional neural networks (CNNs) to quantify inflammation and chronic features in kidney transplant biopsies. A structure segmentation CNN and a lymphocyte detection CNN were applied on 125 whole-slide image pairs of periodic acid-Schiff- and CD3-stained slides. The CNN results were used to quantify healthy and sclerotic glomeruli, interstitial fibrosis, tubular atrophy, and inflammation within both nonatrophic and atrophic tubuli, and in areas of interstitial fibrosis. The computed tissue features showed high correlation with Banff lesion scores of five pathologists (A.A., A.Dend., J.H.B., J.K., and T.N.). Analyses on a small subset showed a moderate correlation toward higher CD3+ cell density within scarred regions and higher CD3+ cell count inside atrophic tubuli correlated with long-term change of estimated glomerular filtration rate. The presented CNNs are valid tools to yield objective quantitative information on glomeruli number, fibrotic tissue, and inflammation within scarred and non-scarred kidney parenchyma in a reproducible manner. CNNs have the potential to improve kidney transplant diagnostics and will benefit the community as a novel method to generate surrogate end points for large-scale clinical studies.
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Affiliation(s)
- Meyke Hermsen
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Francesco Ciompi
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Adeyemi Adefidipe
- Department of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Aleksandar Denic
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Amélie Dendooven
- Department of Pathology, Ghent University Hospital, Ghent, Belgium; Faculty of Medicine, University of Antwerp, Wilrijk, Antwerp, Belgium
| | - Byron H Smith
- William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Dominique van Midden
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan Hinrich Bräsen
- Nephropathology Unit, Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - Jesper Kers
- Department of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands; Center for Analytical Sciences Amsterdam, Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, the Netherlands
| | - Mark D Stegall
- Division of Transplantation Surgery, Mayo Clinic, Rochester, Minnesota
| | - Péter Bándi
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tri Nguyen
- Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Zaneta Swiderska-Chadaj
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands; Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland
| | - Bart Smeets
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jeroen A W M van der Laak
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
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16
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Mayer KA, Budde K, Jilma B, Doberer K, Böhmig GA. Emerging drugs for antibody-mediated rejection after kidney transplantation: a focus on phase II & III trials. Expert Opin Emerg Drugs 2022; 27:151-167. [PMID: 35715978 DOI: 10.1080/14728214.2022.2091131] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Antibody-mediated rejection (ABMR) is a leading cause of kidney allograft failure. Its therapy continues to be challenge, and no treatment has been approved for the market thus far. AREAS COVERED In this article, we discuss the pathophysiology and phenotypic presentation of ABMR, the current level of evidence to support the use of available therapeutic strategies, and the emergence of tailored drugs now being evaluated in systematic clinical trials. We searched PubMed, Clinicaltrials.gov and Citeline's Pharmaprojects for pertinent information on emerging anti-rejection strategies, laying a focus on phase II and III trials. EXPERT OPINION Currently, we rely on the use of apheresis for alloantibody depletion and intravenous immunoglobulin (referred to as standard of care), preferentially in early active ABMR. Recent systematic trials have questioned the benefits of using the CD20 antibody rituximab or the proteasome inhibitor bortezomib. However, there are now several promising treatment approaches in the pipeline, which are being trialed in phase II and III studies. These include interleukin-6 antagonism, CD38-targeting antibodies, and selective inhibitors of complement. On the basis of the information that has emerged so far, it seems that innovative treatment strategies for clinical use in ABMR may be available within the next 5-10 years.
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Affiliation(s)
- Katharina A Mayer
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Klemens Budde
- Department of Nephrology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Jilma
- Department of Clinical Pharmacology, Medical University of Vienna, Austria
| | - Konstantin Doberer
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Georg A Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
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Sarwal RD, Yazar W, Titzler N, Wong J, Lai CH, Chin C, Krieger D, Stoll J, Dias Lourenco F, Sarwal MM, Ghosh S. Through the Looking Glass: Unraveling the Stage-Shift of Acute Rejection in Renal Allografts. J Clin Med 2022; 11:jcm11040910. [PMID: 35207183 PMCID: PMC8879913 DOI: 10.3390/jcm11040910] [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: 11/24/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 02/05/2023] Open
Abstract
Sub-optimal sensitivity and specificity in current allograft monitoring methodologies underscore the need for more accurate and reflexive immunosurveillance to uncover the flux in alloimmunity between allograft health and the onset and progression of rejection. QSant—a urine based multi-analyte diagnostic test—was developed to profile renal transplant health and prognosticate injury, risk of evolution, and resolution of acute rejection. Q-Score—the composite score, across measurements of DNA, protein and metabolic biomarkers in the QSant assay—enables this risk prognostication. The domain of immune quiescence—below a Q-Score threshold of 32—is well established, based on published AUC of 98% for QSant. However, the trajectory of rejection is variable, given that causality is multi-factorial. Injury and subtypes of rejection are captured by the progression of Q-Score. This publication explores the clinical utility of QSant across the alloimmunity gradient of 32–100 for the early diagnosis of allograft injury and rejection.
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Affiliation(s)
- Reuben D. Sarwal
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Wanzin Yazar
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Nicholas Titzler
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Jeremy Wong
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Chih-hung Lai
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Christopher Chin
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Danielle Krieger
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Jeff Stoll
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Francisco Dias Lourenco
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
| | - Minnie M. Sarwal
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
- Department of Surgery, University of California, 400 Parnassus Ave, San Francisco, CA 94143, USA
- Correspondence: (M.M.S.); (S.G.)
| | - Srinka Ghosh
- NephroSant Inc., 1900 Alameda de las Pulgas, San Mateo, CA 94403, USA; (R.D.S.); (W.Y.); (N.T.); (J.W.); (C.-h.L.); (C.C.); (D.K.); (J.S.); (F.D.L.)
- Correspondence: (M.M.S.); (S.G.)
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Lamarthée B, Burger C, Leclaire C, Lebraud E, Zablocki A, Morin L, Lebreton X, Charreau B, Snanoudj R, Charbonnier S, Blein T, Hardy M, Zuber J, Satchell S, Gallazzini M, Terzi F, Legendre C, Taupin JL, Rabant M, Tinel C, Anglicheau D. CRISPR/Cas9-Engineered HLA-Deleted Glomerular Endothelial Cells as a Tool to Predict Pathogenic Non-HLA Antibodies in Kidney Transplant Recipients. J Am Soc Nephrol 2021; 32:3231-3251. [PMID: 35167486 PMCID: PMC8638404 DOI: 10.1681/asn.2021050689] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 09/20/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND After kidney transplantation, donor-specific antibodies against human leukocyte antigen donor-specific antibodies (HLA-DSAs) drive antibody-mediated rejection (ABMR) and are associated with poor transplant outcomes. However, ABMR histology (ABMRh) is increasingly reported in kidney transplant recipients (KTRs) without HLA-DSAs, highlighting the emerging role of non-HLA antibodies (Abs). METHODS W e designed a non-HLA Ab detection immunoassay (NHADIA) using HLA class I and II-deficient glomerular endothelial cells (CiGEnCΔHLA) that had been previously generated through CRISPR/Cas9-induced B2M and CIITA gene disruption. Flow cytometry assessed the reactivity to non-HLA antigens of pretransplantation serum samples from 389 consecutive KTRs. The intensity of the signal observed with the NHADIA was associated with post-transplant graft histology assessed in 951 adequate biopsy specimens. RESULTS W e sequentially applied CRISPR/Cas9 to delete the B2M and CIITA genes to obtain a CiGEnCΔHLA clone. CiGEnCΔHLA cells remained indistinguishable from the parental cell line, CiGEnC, in terms of morphology and phenotype. Previous transplantation was the main determinant of the pretransplantation NHADIA result (P<0.001). Stratification of 3-month allograft biopsy specimens (n=298) according to pretransplantation NHADIA tertiles demonstrated that higher levels of non-HLA Abs positively correlated with increased glomerulitis (P=0.002), microvascular inflammation (P=0.003), and ABMRh (P=0.03). A pretransplantation NHADIA threshold of 1.87 strongly discriminated the KTRs with the highest risk of ABMRh (P=0.005, log-rank test). A multivariate Cox model confirmed that NHADIA status and HLA-DSAs were independent, yet synergistic, predictors of ABMRh. CONCLUSION The NHADIA identifies non-HLA Abs and strongly predicts graft endothelial injury independent of HLA-DSAs.
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Affiliation(s)
- Baptiste Lamarthée
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Carole Burger
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Charlotte Leclaire
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Emilie Lebraud
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Aniela Zablocki
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Lise Morin
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Xavier Lebreton
- Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Béatrice Charreau
- Center for Research in Transplantation and Immunology, INSERM UMR1064, IHU CESTI, LabEx IGO and LabEx Transplantex, Nantes University, Nantes, France
| | - Renaud Snanoudj
- Immunology and Histocompatibility Laboratory, Saint-Louis Hospital, AP-HP, LabEx Transplantex, INSERM U1160, University Paris Diderot, Paris, France
| | - Soëli Charbonnier
- Laboratory of Human Lymphohematopoiesis, Imagine Institute, INSERM U1163, University of Paris, Paris, France
| | - Tifanie Blein
- Laboratory of Human Lymphohematopoiesis, Imagine Institute, INSERM U1163, University of Paris, Paris, France
| | - Mélanie Hardy
- Immunology and Histocompatibility Laboratory, Saint-Louis Hospital, AP-HP, INSERM U976, IRSL, University of Paris, Paris, France
| | - Julien Zuber
- Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France,Laboratory of Human Lymphohematopoiesis, Imagine Institute, INSERM U1163, University of Paris, Paris, France
| | - Simon Satchell
- Bristol Renal, Bristol Heart Institute, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Morgan Gallazzini
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Fabiola Terzi
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Christophe Legendre
- Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Jean Luc Taupin
- Immunology and Histocompatibility Laboratory, Saint-Louis Hospital, AP-HP, INSERM U976, IRSL, University of Paris, Paris, France
| | - Marion Rabant
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France,Department of Pathology, Necker Hospital, AP-HP, Paris, France
| | - Claire Tinel
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France
| | - Dany Anglicheau
- Necker-Enfants Malades Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, University of Paris, Paris, France,Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
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19
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Loupy A, Mengel M, Haas M. 30 years of the International Banff Classification for Allograft Pathology: The Past, Present and Future of Kidney Transplant Diagnostics. Kidney Int 2021; 101:678-691. [DOI: 10.1016/j.kint.2021.11.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/06/2021] [Accepted: 11/05/2021] [Indexed: 10/19/2022]
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20
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Cornell LD. Histopathologic Features of Antibody Mediated Rejection: The Banff Classification and Beyond. Front Immunol 2021; 12:718122. [PMID: 34646262 PMCID: PMC8503253 DOI: 10.3389/fimmu.2021.718122] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/07/2021] [Indexed: 01/27/2023] Open
Abstract
Antibody mediated rejection (ABMR) in the kidney can show a wide range of clinical presentations and histopathologic patterns. The Banff 2019 classification currently recognizes four diagnostic categories: 1. Active ABMR, 2. Chronic active ABMR, 3. Chronic (inactive) ABMR, and 4. C4d staining without evidence of rejection. This categorization is limited in that it does not adequately represent the spectrum of antibody associated injury in allograft, it is based on biopsy findings without incorporating clinical features (e.g., time post-transplant, de novo versus preformed DSA, protocol versus indication biopsy, complement inhibitor drugs), the scoring is not adequately reproducible, and the terminology is confusing. These limitations are particularly relevant in patients undergoing desensitization or positive crossmatch kidney transplantation. In this article, I discuss Banff criteria for these ABMR categories, with a focus on patients with pre-transplant DSA, and offer a framework for considering the continuum of allograft injury associated with donor specific antibody in these patients.
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Affiliation(s)
- Lynn D Cornell
- Division of Anatomic Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
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21
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Callemeyn J, Ameye H, Lerut E, Senev A, Coemans M, Van Loon E, Sprangers B, Van Sandt V, Rabeyrin M, Dubois V, Thaunat O, Kuypers D, Emonds MP, Naesens M. Revisiting the changes in the Banff classification for antibody-mediated rejection after kidney transplantation. Am J Transplant 2021; 21:2413-2423. [PMID: 33382185 DOI: 10.1111/ajt.16474] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/17/2020] [Accepted: 12/23/2020] [Indexed: 01/25/2023]
Abstract
The Banff classification for antibody-mediated rejection (ABMR) has undergone important changes, mainly by inclusion of C4d-negative ABMR in Banff'13 and elimination of suspicious ABMR (sABMR) with the use of C4d as surrogate for HLA-DSA in Banff'17. We aimed to evaluate the numerical and prognostic repercussions of these changes in a single-center cohort study of 949 single kidney transplantations, comprising 3662 biopsies that were classified according to the different versions of the Banff classification. Overall, the number of ABMR and sABMR cases increased from Banff'01 to Banff'13. In Banff'17, 248 of 292 sABMR biopsies were reclassified to No ABMR, and 44 of 292 to ABMR. However, reclassified sABMR biopsies had worse and better outcome than No ABMR and ABMR, which was mainly driven by the presence of microvascular inflammation and absence of HLA-DSA, respectively. Consequently, the discriminative performance for allograft failure was lowest in Banff'17, and highest in Banff'13. Our data suggest that the clinical and histological heterogeneity of ABMR is inadequately represented in a binary classification system. This study provides a framework to evaluate the updates of the Banff classification and assess the impact of proposed changes on the number of cases and risk stratification. Two alternative classifications introducing an intermediate category are explored.
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Affiliation(s)
- Jasper Callemeyn
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Heleen Ameye
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Evelyne Lerut
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Aleksandar Senev
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.,Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maarten Coemans
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Elisabet Van Loon
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Ben Sprangers
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Vicky Van Sandt
- Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maud Rabeyrin
- Department of Pathology, Hospices Civils de Lyon, Bron, France
| | - Valérie Dubois
- French National Blood Service (EFS), HLA Laboratory, Décines-Charpieu, France
| | - Olivier Thaunat
- Medical Research (Inserm) Unit 111, French National Institute of Health, Lyon, France.,Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France
| | - Dirk Kuypers
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Marie-Paule Emonds
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.,Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maarten Naesens
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.,Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
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22
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Schinstock CA, Askar M, Bagnasco SM, Batal I, Bow L, Budde K, Campbell P, Carroll R, Clahsen-van Groningen MC, Cooper M, Cornell LD, Cozzi E, Dadhania D, Diekmann F, Hesselink DA, Jackson AM, Kikic Z, Lower F, Naesens M, Roelofs JJ, Sapir-Pichhadze R, Kraus ES. A 2020 Banff Antibody-mediatedInjury Working Group examination of international practices for diagnosing antibody-mediated rejection in kidney transplantation - a cohort study. Transpl Int 2021; 34:488-498. [PMID: 33423340 DOI: 10.1111/tri.13813] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 11/24/2020] [Accepted: 01/02/2021] [Indexed: 12/24/2022]
Abstract
The Banff antibody-mediated rejection (ABMR) classification is vulnerable to misinterpretation, but the reasons are unclear. To better understand this vulnerability, we evaluated how ABMR is diagnosed in practice. To do this, the Banff Antibody-Mediated Injury Workgroup electronically surveyed an international cohort of nephrologists/surgeons (n = 133) and renal pathologists (n = 99). Most providers (97%) responded that they use the Banff ABMR classification at least sometimes, but DSA information is often not readily available. Only 41.1% (55/133) of nephrologists/surgeons and 19.2% (19/99) of pathologists reported that they always have DSA results when the biopsy is available. Additionally, only 19.6% (26/133) of nephrologists/surgeons responded that non-HLA antibody or molecular transcripts are obtained when ABMR histologic features are present but DSA is undetected. Several respondents agreed that histologic features concerning for ABMR in the absence of DSA and/or C4d are not well accounted for in the current classification [31.3% (31/99) pathologists and 37.6% (50/133) nephrologist/surgeons]. The Banff ABMR classification appears widely accepted, but efforts to improve the accessibility of DSA information for the multidisciplinary care team are needed. Further clarity is also needed in Banff ABMR nomenclature to account for the spectrum of ABMR and for histologic features suspicious for ABMR when DSA is absent.
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Affiliation(s)
- Carrie A Schinstock
- William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN, USA
| | - Medhat Askar
- Baylor University Medical Center, Dallas, TX, USA.,Texas A&M Health Science Center Collect of Medicine, Bryan, TX, USA
| | - Serena M Bagnasco
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Laurine Bow
- Department of Transplantation Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Klemens Budde
- Medizinische Klinik mit Schwerpunkt Nephrologie und Internistische Intensivmedizin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Campbell
- Department of Medicine and Clinical Islet Transplant Program, University of Alberta, Edmonton, AB, Canada
| | - Robert Carroll
- Transplantation Immunogenetics Service, Australian Red Cross Blood Service Melbourne, Melbourne, Vic., Australia.,University of South Australia, Adelaide, SA, Australia
| | | | - Matthew Cooper
- Medstar Georgetown Transplant Institute, Washington, DC, USA
| | - Lynn D Cornell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Emanuele Cozzi
- Transplant Immunology Unit, Department of Cardiac, Thoracic and Vascular Sciences, Padua University Hospital, Padua, Italy
| | - Darshana Dadhania
- Department of Medicine, Weill Cornell Medicine - New York Presbyterian Hospital, New York, NY, USA
| | - Fritz Diekmann
- Kidney Transplant Unit, Institut d'Incestigacions Biomèdiques August Pi i Sunyer, Hospital Clínic, Barcelona, Spain
| | - Dennis A Hesselink
- Department of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Zeljko Kikic
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University Vienna, Vienna, Austria
| | - Fritz Lower
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - Maarten Naesens
- Department of Microbiology and Immunology, KU Leuven, Leuven, Belgium.,Department of Nephrology, University Hospitals Leuven, Leuven, Belgium
| | - Joris J Roelofs
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Ruth Sapir-Pichhadze
- Centre for Outcomes Research & Evaluation Research Institute, McGill University Health Center, Montreal, QC, Canada
| | - Edward S Kraus
- Division of Nephrology/Transplant Nephrology, Johns Hopkins University, Baltimore, MD, USA
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23
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Hart A, Singh D, Brown SJ, Wang JH, Kasiske BL. Incidence, risk factors, treatment, and consequences of antibody-mediated kidney transplant rejection: A systematic review. Clin Transplant 2021; 35:e14320. [PMID: 33864724 DOI: 10.1111/ctr.14320] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/10/2021] [Accepted: 04/05/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Antibody-mediated rejection (AMR) is a leading cause of kidney allograft failure, but its incidence, risk factors, and outcomes are not well understood. METHODS We searched Ovid MEDLINE, Cochrane, EMBASE, and Scopus from January 2000 to January 2020 to identify published cohorts of ≥500 incident adult or 75 pediatric kidney transplant recipients followed for ≥1 year post-transplant. RESULTS At least two reviewers screened 5061 articles and abstracts; 28 met inclusion criteria. Incidence of acute AMR was 1.1%-21.5%; most studies reported 3%-12% incidence, usually within the first year post-transplant. Few studies reported chronic AMR incidence, from 7.5%-20.1% up to 10 years. Almost all patients with acute or chronic AMR received corticosteroids and intravenous immunoglobulin; most received plasmapheresis, and approximately half with rituximab. Most studies examining death-censored graft failure identified AMR as an independent risk factor. Few reported refractory AMR rates or outcomes, and none examined costs. Most studies were single-center and varied greatly in design. CONCLUSIONS Cohort studies of kidney transplant recipients demonstrate that AMR is common and associated with increased risk of death-censored graft failure, but studies vary widely regarding populations, definitions, and reported incidence. Gaps remain in our understanding of refractory AMR, its costs, and resulting quality of life.
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Affiliation(s)
- Allyson Hart
- Department of Medicine, Hennepin County Medical Center, Hennepin Healthcare, Minneapolis, MN, USA.,University of Minnesota Medical School, Minneapolis, MN, USA
| | - Devender Singh
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Sarah Jane Brown
- College of Pharmacy Liaison, Health Sciences Libraries, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey H Wang
- Department of Medicine, Hennepin County Medical Center, Hennepin Healthcare, Minneapolis, MN, USA.,University of Minnesota Medical School, Minneapolis, MN, USA
| | - Bertram L Kasiske
- Department of Medicine, Hennepin County Medical Center, Hennepin Healthcare, Minneapolis, MN, USA.,University of Minnesota Medical School, Minneapolis, MN, USA
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24
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Sood P, Cherikh WS, Toll AE, Mehta RB, Hariharan S. Kidney allograft rejection: Diagnosis and treatment practices in USA- A UNOS survey. Clin Transplant 2021; 35:e14225. [PMID: 33455009 DOI: 10.1111/ctr.14225] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 12/11/2022]
Abstract
We studied diverse rejection management strategies across centers by conducting a UNOS survey of kidney transplant program directors in 2017. There were 104 total responses from 235 kidney transplant programs representing 88 unique transplant programs (response rate 37%). Information was collected on center-specific management practices. Pertinent center-specific data were obtained from the OPTN database. Of the respondents, 33% were considered large centers (>100 transplants/year). Thymoglobulin was the most commonly used induction agent at 84%, 72% responders do rapid steroid withdrawal, and mycophenolic acid (MPA) is the major antimetabolite (100%). For diagnosing TCMR, 100% used indication biopsy, 28% used protocol biopsy, 2% used serum biomarkers, and none used urine cytokines. For ABMR, 99% used indication biopsy, 34% used protocol biopsy, 72% used DSA, 21% used C1q positive DSA, and none used gene profiling (ENDATS). The treatment of subclinical and clinical TCMR included iv/PO steroids. PP/IVIG were the commonest treatments for ABMR. The use of rituximab, bortezomib, and eculizumab increased from C4D-ABMR to recurrent ABMR. There are diverse management practices for diagnosing and treating rejection. An effort to harmonize these diverse practices for management of TCMR and ABMR will give an opportunity to pool data for evaluating clinical outcomes.
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Affiliation(s)
- Puneet Sood
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - Alice E Toll
- United Network for Organ Sharing, Richmond, VA, USA
| | - Rajil B Mehta
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Sundaram Hariharan
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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25
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Nowańska K, Banasik M, Donizy P, Kościelska-Kasprzak K, Zmonarski S, Letachowicz K, Kamińska D, Mazanowska O, Augustyniak-Bartosik H, Tukiendorf A, Chudiak A, Dawiskiba T, Hałoń A, Krajewska M. Endothelin A Receptors Expressed in Glomeruli of Renal Transplant Patients May Be Associated with Antibody-Mediated Rejection. J Clin Med 2021; 10:jcm10030422. [PMID: 33499235 PMCID: PMC7865600 DOI: 10.3390/jcm10030422] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/02/2021] [Accepted: 01/18/2021] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Non-human leukocyte antigen (HLA) anti-endothelin A receptor antibodies are presented as being potentially important, but the expression of the endothelin A receptor in glomeruli (ETA receptor (g+)) has not yet been described. We decided to evaluate the presence and relevance of the ETA receptor in for-cause renal transplant biopsies. The aim of our study was to evaluate the immunoreactivity of the ETA receptor and its significance in patients who underwent a renal transplant biopsy due to the deterioration of transplant function, with detailed characterization of staining in glomeruli. METHODS The immunohistochemical expression of ETA receptor (ETAR) was analyzed in renal transplant biopsies. Microscopic evaluation was performed on paraffin sections in glomeruli. The analysis was performed using a two-step scale (0: lack of ETAR expression; 1: the presence of ETAR expression-mild to moderate immunoreactivity). RESULTS We analyzed 149 patients who underwent renal allograft biopsy after renal transplantation. Positive staining of ETA receptors in glomeruli (ETA receptor (g+)) was noticed in 13/149 (8.7%) patients. Five of these 13 (38.5%) patients with ETA receptor (g+) developed antibody-mediated rejection (AMR), while 13 of the remaining 136 (9.5%) ETA receptor (g-) patients developed AMR (p = 0.0022). Graft loss was noticed in all but one ETA receptor (g+) patient with AMR (4/5; 80%), but only in 2/13 (15%) ETA receptor (g-) patients with AMR (p = 0.009) during the first year after biopsy. CONCLUSIONS The expression of endothelin A receptors in glomeruli seems to be a potentially important feature in the diagnosis of damage during antibody-mediated rejection. It may help to identify patients at a higher risk of allograft rejection and injury.
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Affiliation(s)
- Katarzyna Nowańska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Mirosław Banasik
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
- Correspondence:
| | - Piotr Donizy
- Department of Pathomorphology and Oncological Cytology, Wroclaw Medical University, 50-367 Wrocław, Poland; (P.D.); (A.H.)
| | | | - Sławomir Zmonarski
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Krzysztof Letachowicz
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Dorota Kamińska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Oktawia Mazanowska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Hanna Augustyniak-Bartosik
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
| | - Andrzej Tukiendorf
- Department of Public Health, Wroclaw Medical University, 50-367 Wrocław, Poland;
| | - Anna Chudiak
- Division of Nursing in Internal Medicine Procedures, Department of Clinical Nursing, Faculty of Health Sciences, Wroclaw Medical University, 50-367 Wrocław, Poland;
| | - Tomasz Dawiskiba
- Department of General, Vascular and Transplant Surgery, Wroclaw Medical University, 50-367 Wrocław, Poland;
| | - Agnieszka Hałoń
- Department of Pathomorphology and Oncological Cytology, Wroclaw Medical University, 50-367 Wrocław, Poland; (P.D.); (A.H.)
| | - Magdalena Krajewska
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland; (K.N.); (S.Z.); (K.L.); (D.K.); (O.M.); (H.A.-B.); (M.K.)
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26
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Braun F, Rinschen M, Buchner D, Bohl K, Plagmann I, Bachurski D, Richard Späth M, Antczak P, Göbel H, Klein C, Lackmann J, Kretz O, Puelles VG, Wahba R, Hallek M, Schermer B, Benzing T, Huber TB, Beyer A, Stippel D, Kurschat CE, Müller R. The proteomic landscape of small urinary extracellular vesicles during kidney transplantation. J Extracell Vesicles 2020; 10:e12026. [PMID: 33304478 PMCID: PMC7710132 DOI: 10.1002/jev2.12026] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 09/05/2020] [Accepted: 10/10/2020] [Indexed: 12/24/2022] Open
Abstract
Kidney transplantation is the preferred renal replacement therapy available. Yet, long-term transplant survival is unsatisfactory, partially due to insufficient possibilities of longitudinal monitoring and understanding of the biological processes after transplantation. Small urinary extracellular vesicles (suEVs) - as a non-invasive source of information - were collected from 22 living donors and recipients. Unbiased proteomic analysis revealed temporal patterns of suEV protein signature and cellular processes involved in both early response and longer-term graft adaptation. Complement activation was among the most dynamically regulated components. This unique atlas of the suEV proteome is provided through an online repository allowing dynamic interrogation by the user. Additionally, a correlative analysis identified putative prognostic markers of future allograft function. One of these markers - phosphoenol pyruvate carboxykinase (PCK2) - could be confirmed using targeted MS in an independent validation cohort of 22 additional patients. This study sheds light on the impact of kidney transplantation on urinary extracellular vesicle content and allows the first deduction of early molecular processes in transplant biology. Beyond that our data highlight the potential of suEVs as a source of biomarkers in this setting.
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Loupy A, Haas M, Roufosse C, Naesens M, Adam B, Afrouzian M, Akalin E, Alachkar N, Bagnasco S, Becker JU, Cornell LD, Clahsen‐van Groningen MC, Demetris AJ, Dragun D, Duong van Huyen J, Farris AB, Fogo AB, Gibson IW, Glotz D, Gueguen J, Kikic Z, Kozakowski N, Kraus E, Lefaucheur C, Liapis H, Mannon RB, Montgomery RA, Nankivell BJ, Nickeleit V, Nickerson P, Rabant M, Racusen L, Randhawa P, Robin B, Rosales IA, Sapir‐Pichhadze R, Schinstock CA, Seron D, Singh HK, Smith RN, Stegall MD, Zeevi A, Solez K, Colvin RB, Mengel M. The Banff 2019 Kidney Meeting Report (I): Updates on and clarification of criteria for T cell- and antibody-mediated rejection. Am J Transplant 2020; 20:2318-2331. [PMID: 32463180 PMCID: PMC7496245 DOI: 10.1111/ajt.15898] [Citation(s) in RCA: 426] [Impact Index Per Article: 106.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/24/2020] [Accepted: 03/10/2020] [Indexed: 01/25/2023]
Abstract
The XV. Banff conference for allograft pathology was held in conjunction with the annual meeting of the American Society for Histocompatibility and Immunogenetics in Pittsburgh, PA (USA) and focused on refining recent updates to the classification, advances from the Banff working groups, and standardization of molecular diagnostics. This report on kidney transplant pathology details clarifications and refinements to the criteria for chronic active (CA) T cell-mediated rejection (TCMR), borderline, and antibody-mediated rejection (ABMR). The main focus of kidney sessions was on how to address biopsies meeting criteria for CA TCMR plus borderline or acute TCMR. Recent studies on the clinical impact of borderline infiltrates were also presented to clarify whether the threshold for interstitial inflammation in diagnosis of borderline should be i0 or i1. Sessions on ABMR focused on biopsies showing microvascular inflammation in the absence of C4d staining or detectable donor-specific antibodies; the potential value of molecular diagnostics in such cases and recommendations for use of the latter in the setting of solid organ transplantation are presented in the accompanying meeting report. Finally, several speakers discussed the capabilities of artificial intelligence and the potential for use of machine learning algorithms in diagnosis and personalized therapeutics in solid organ transplantation.
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Haas M, Seshan SV, Barisoni L, Amann K, Bajema IM, Becker JU, Joh K, Ljubanovic D, Roberts ISD, Roelofs JJ, Sethi S, Zeng C, Jennette JC. Consensus definitions for glomerular lesions by light and electron microscopy: recommendations from a working group of the Renal Pathology Society. Kidney Int 2020; 98:1120-1134. [PMID: 32866505 DOI: 10.1016/j.kint.2020.08.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 08/15/2020] [Accepted: 08/19/2020] [Indexed: 01/10/2023]
Abstract
Over the past 2 decades, scoring systems for multiple glomerular diseases have emerged, as have consortia of pathologists and nephrologists for the study of glomerular diseases, including correlation of pathologic findings with clinical features and outcomes. However, one important limitation faced by members of these consortia and other renal pathologists and nephrologists in both investigative work and routine practice remains a lack of uniformity and precision in clearly defining the morphologic lesions on which the scoring systems are based. In response to this issue, the Renal Pathology Society organized a working group to identify the most frequently identified glomerular lesions observed by light microscopy and electron microscopy, review the literature to capture the published definitions most often used for each, and determine consensus terms and definitions for each lesion in a series of online and in-person meetings. The defined lesions or abnormal findings are not specific for any individual disease or subset of diseases, but rather can be applied across the full spectrum of glomerular diseases and within the context of the different scoring systems used for evaluating and reporting these diseases. In addition to facilitating glomerular disease research, standardized terms and definitions should help harmonize reporting of medical kidney diseases worldwide and lead to more-precise diagnoses and improved patient care.
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Affiliation(s)
- Mark Haas
- Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
| | - Surya V Seshan
- Department of Pathology, Weill Cornell Medical College, New York, New York, USA
| | - Laura Barisoni
- Department of Pathology, Duke University, Durham, North Carolina, USA
| | - Kerstin Amann
- Department of Nephropathology, Friedrich-Alexander University, Erlangen-Nürnberg, Germany
| | - Ingeborg M Bajema
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan Ulrich Becker
- Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | - Kensuke Joh
- Department of Pathology, The Jikei University School of Medicine, Tokyo, Japan
| | - Danica Ljubanovic
- Department of Pathology, Dubrava University Hospital, Zagreb Medical School, Zagreb, Croatia
| | - Ian S D Roberts
- Department of Cellular Pathology, Oxford University Hospitals, Oxford, UK
| | - Joris J Roelofs
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Sanjeev Sethi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Caihong Zeng
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - J Charles Jennette
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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29
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Jeong HJ. Diagnosis of renal transplant rejection: Banff classification and beyond. Kidney Res Clin Pract 2020; 39:17-31. [PMID: 32164120 PMCID: PMC7105630 DOI: 10.23876/j.krcp.20.003] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/10/2020] [Accepted: 02/19/2020] [Indexed: 12/20/2022] Open
Abstract
Diagnosis of renal transplant rejection is dependent on interpretation of renal allograft biopsies. The Banff Classification of Allograft Pathology, which was developed as a standardized working classification system in 1991, has contributed to the standardization of definitions for histologic injuries resulting from renal allograft rejections and provided a universal grading system for assessing these injuries. It has also helped to provide insight into the underlying pathogenic mechanisms that contribute to transplant rejection. In addition to histological and immunologic parameters, molecular tools are now being used to facilitate the diagnosis of rejection. In this review, I will discuss morphologic features of renal transplant rejections as well as major revisions and pitfalls of the Banff classification system, and provide future perspectives.
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Affiliation(s)
- Hyeon Joo Jeong
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
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30
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Bhalla A, Alachkar N, Alasfar S. Complement-Based Therapy in the Management of Antibody-Mediated Rejection. Adv Chronic Kidney Dis 2020; 27:138-148. [PMID: 32553246 DOI: 10.1053/j.ackd.2019.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/11/2019] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Antibody-mediated rejection (AMR) is one of the leading causes of kidney allograft failure and is usually mediated by anti-human leukocyte antigen donor-specific antibodies (DSAs). Activation of classical pathway of the complement system is responsible for downstream effects of DSA and account for significant manifestations of AMR. Currently, the treatment of AMR is based on strategies to remove preformed antibodies or to prevent their production; however, these strategies are often unsuccessful. It is theoretically possible to inhibit complement activity to prevent the effect of DSA on kidney allograft function. Complement inhibitors such as eculizumab, a complement 5 monoclonal antibody, and complement 1 esterase inhibitors (C1 INHs) have been used in prevention and treatment of AMR with variable success. Eculizumab and C1 INH seem to reduce the incidence of early AMR and allow transplantation in highly sensitized kidney transplant recipients, but data on their long-term effect on kidney allograft function are limited. Several case reports described the successful use of eculizumab in the treatment of AMR, but there are no randomized controlled studies that showed efficacy. Treatment of AMR with C1 INH, in addition to standard of care, did not change short-term outcome but long-term studies are underway.
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31
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Reeve J, Böhmig GA, Eskandary F, Einecke G, Gupta G, Madill-Thomsen K, Mackova M, Halloran PF. Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers. Am J Transplant 2019; 19:2719-2731. [PMID: 30868758 DOI: 10.1111/ajt.15351] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/10/2019] [Accepted: 03/03/2019] [Indexed: 01/25/2023]
Abstract
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope® Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stability of MMDx diagnoses by replacing single machine learning classifiers with ensembles of diverse classifier methods. We also examined the use of automated report sign-outs and the agreement between multiple human interpreters of the molecular results. Ensembles generated diagnoses that were both more accurate than the best individual classifiers, and nearly as stable as the best, consistent with expectations from the machine learning literature. Human experts had ≈93% agreement (balanced accuracy) signing out the reports, and random forest-based automated sign-outs showed similar levels of agreement with the human experts (92% and 94% for predicting the expert MMDx sign-outs for T cell-mediated (TCMR) and antibody-mediated rejection (ABMR), respectively). In most cases disagreements, whether between experts or between experts and automated sign-outs, were in biopsies near diagnostic thresholds. Considerable disagreement with histology persisted. The balanced accuracies of MMDx sign-outs for histology diagnoses of TCMR and ABMR were 73% and 78%, respectively. Disagreement with histology is largely due to the known noise in histology assessments (ClinicalTrials.gov NCT01299168).
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Affiliation(s)
- Jeff Reeve
- Alberta Transplant Applied Genomics Centre, Alberta, Canada.,Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Georg A Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Farsad Eskandary
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Gunilla Einecke
- Department of Nephrology, Medizinische Hochschule Hannover, Hannover, Germany
| | - Gaurav Gupta
- Division of Nephrology, Virginia Commonwealth University, Richmond, Virginia
| | | | | | - Philip F Halloran
- Alberta Transplant Applied Genomics Centre, Alberta, Canada.,Department of Medicine, Division of Nephrology and Transplant Immunology, University of Alberta, Edmonton, Alberta, Canada
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Lefaucheur C, Viglietti D, Bouatou Y, Philippe A, Pievani D, Aubert O, Duong Van Huyen JP, Taupin JL, Glotz D, Legendre C, Loupy A, Halloran PF, Dragun D. Non-HLA agonistic anti-angiotensin II type 1 receptor antibodies induce a distinctive phenotype of antibody-mediated rejection in kidney transplant recipients. Kidney Int 2019; 96:189-201. [DOI: 10.1016/j.kint.2019.01.030] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 12/31/2018] [Accepted: 01/10/2019] [Indexed: 11/16/2022]
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Immunomics of Renal Allograft Acute T Cell-Mediated Rejection Biopsies of Tacrolimus- and Belatacept-Treated Patients. Transplant Direct 2018; 5:e418. [PMID: 30656216 PMCID: PMC6324913 DOI: 10.1097/txd.0000000000000857] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 11/02/2018] [Accepted: 11/10/2018] [Indexed: 12/14/2022] Open
Abstract
Supplemental digital content is available in the text. Background Belatacept-based therapy in kidney transplant recipient has been shown to increase long-term renal allograft and patient survival compared with calcineurin inhibitor–based therapy, however, with an increased risk of acute T cell-mediated rejection (aTCMR). An improved understanding of costimulation blockade-resistant rejections could lead to a more personalized approach to belatacept therapy. Here, immunomic profiles of aTCMR biopsies of patients treated with either tacrolimus or belatacept were compared. Methods Formalin-fixed paraffin-embedded renal transplant biopsies were used for immunohistochemistry and gene expression analysis using the innovative NanoString technique. To validate NanoString, transcriptomic profiles of patients with and without biopsy-proven aTCMR were compared. Biopsies from 31 patients were studied: 14 tacrolimus-treated patients with aTCMR, 11 belatacept-treated patients with aTCMR, and 6 controls without rejection. Results A distinct pattern was seen in biopsies with aTCMR compared to negative controls: 78 genes had a higher expression in the aTCMR group (false discovery rate P value <.05 to 1.42e–05). The most significant were T cell-associated genes (CD3, CD8, and CD4; P < 1.98e-04), γ-interferon-inducible genes (CCL5, CXCL9, CXCL11, CXCL10, TBX21; P < 1.33e-04) plus effector genes (GNLY, GZMB, ITGAX; P < 2.82e-03). Immunophenotypical analysis of the classic immune markers of the innate and adaptive immune system was comparable between patients treated with either tacrolimus or belatacept. In addition, the transcriptome of both groups was not significantly different. Conclusions In this small pilot study, no difference was found in immunomics of aTCMR biopsies of tacrolimus- and belatacept-treated patients. This suggests that clinically diagnosed aTCMR reflects a final common pathway of allorecognition which is unaffected by the type of immunosuppressive therapy.
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