1
|
Sis B. Phenotypes and Prognostic Subgroups Derived by the RejectClass Clustering Algorithm Are Not Fully Reproducible in an Independent Multicenter Study. Transplantation 2024; 108:1060-1061. [PMID: 38196110 DOI: 10.1097/tp.0000000000004907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Affiliation(s)
- Banu Sis
- Division of Diagnostic and Molecular Pathology, University of Alberta Hospital, AB, Canada
| |
Collapse
|
2
|
Salhi S, Congy-Jolivet N, Hebral AL, Esposito L, Vieu G, Milhès J, Kamar N, Del Bello A. Utility of Routine Post Kidney Transplant Anti-HLA Antibody Screening. Kidney Int Rep 2024; 9:1343-1353. [PMID: 38707794 PMCID: PMC11068955 DOI: 10.1016/j.ekir.2024.02.1394] [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: 08/07/2023] [Revised: 01/28/2024] [Accepted: 02/12/2024] [Indexed: 05/07/2024] Open
Abstract
Introduction De novo donor-specific antibody (dnDSA) is a strong biomarker associated with the development of antibody-mediated rejection (AMR) and graft loss after kidney transplantation. This procedure is expensive; however, systematic annual screening was recommended by some national organ transplant agencies or societies even though its clinical utility was not clearly established. Methods To address this question, we retrospectively assessed the incidence of dnDSA according to the test justification (clinically indicated or systematic) in a cohort of low-immunological risk patients, defined by being nonhuman leukocyte antigen (non-HLA)-sensitized and having no previous kidney transplants. Results A total of 1072 patients, for whom 4611 anti-HLA tests were performed, were included in the study. During the follow-up period of 8 (interquartile range, IQR: 5-11) years, 77 recipients developed dnDSA (prevalence of 7.2%). Thirty-five of these dnDSAs (45.5%) were detected during the first year posttransplantation. In 95% of patients with dnDSA, an immunizing event was identified in their medical records. dnDSA was detected in 46 of 4267 systematic screening tests (1.08%) performed. Active and chronic AMR were frequently observed in biopsies performed after systematic DSA testing (17.9% and 15.4%, respectively). Conclusion Our results suggest that the detection by systematic screening of dnDSA in low-immunological risk kidney transplant patients without sensitizing events is a rare event, especially after 1 year. Moreover, in real life, systematic annual screening for dnDSA, seems having a limited impact to detect AMR at an earlier stage compared to patients in whom dnDSA was detected after a clinically indicated test.
Collapse
Affiliation(s)
- Sofiane Salhi
- Department of Nephrology and Organ Transplantation, CHU Rangueil, Toulouse, France
- Faculté de santé, Université Paul Sabatier, Toulouse, France
| | - Nicolas Congy-Jolivet
- Faculté de santé, Université Paul Sabatier, Toulouse, France
- Molecular Immunogenetics Laboratory, EA 3034, Faculté de Médecine Purpan, IFR150 (INSERM), France
- Department of Immunology, CHU de Toulouse, Hôpital de Rangueil, CHU de Toulouse, France
| | - Anne-Laure Hebral
- Department of Nephrology and Organ Transplantation, CHU Rangueil, Toulouse, France
| | - Laure Esposito
- Department of Nephrology and Organ Transplantation, CHU Rangueil, Toulouse, France
| | - Guillaume Vieu
- Etablissement Francais du Sang, CHU de Purpan, Toulouse, France
| | - Jean Milhès
- Faculté de santé, Université Paul Sabatier, Toulouse, France
- Molecular Immunogenetics Laboratory, EA 3034, Faculté de Médecine Purpan, IFR150 (INSERM), France
| | - Nassim Kamar
- Department of Nephrology and Organ Transplantation, CHU Rangueil, Toulouse, France
- Faculté de santé, Université Paul Sabatier, Toulouse, France
- INSERM U1043, IFR–BMT, CHU Purpan, Toulouse, France
| | - Arnaud Del Bello
- Department of Nephrology and Organ Transplantation, CHU Rangueil, Toulouse, France
- Faculté de santé, Université Paul Sabatier, Toulouse, France
- INSERM U1297, IFR–BMT, CHU Rangueil, Toulouse, France
| |
Collapse
|
3
|
von Samson-Himmelstjerna FA, Kakavand N, Gleske C, Schraml F, Basta AA, Braunisch MC, Bräsen JH, Schmitz J, Kraus D, Weinmann-Menke J, Zacharias HU, Vaulet T, Naesens M, Krautter M, Schwenger V, Esser G, Kolbrink B, Amann K, Holzmann-Littig C, Echterdiek F, Kunzendorf U, Renders L, Schulte K, Heemann U. Potential and Uncertainties of RejectClass in Acute Kidney Graft Dysfunction: An Independent Validation Study. Transplantation 2024; 108:1228-1238. [PMID: 38196094 DOI: 10.1097/tp.0000000000004906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND Kidney graft rejections are classified based on the Banff classification. The RejectClass algorithm, initially derived from a cohort comprising mostly protocol biopsies, identifies data-driven phenotypes of acute rejection and chronic pathology using Banff lesion scores. It also provides composite scores for inflammation activity and chronicity. This study independently evaluates the performance of RejectClass in a cohort consisting entirely of indication biopsies. METHODS We retrospectively applied RejectClass to 441 patients from the German TRABIO (TRAnsplant BIOpsies) cohort who had received indication biopsies. The primary endpoint was death-censored graft failure during 2 y of follow-up. RESULTS The application of RejectClass to our cohort demonstrated moderately comparable phenotypic features with the derivation cohort, and most clusters indicated an elevated risk of graft loss. However, the reproduction of all phenotypes and the associated risks of graft failure, as depicted in the original studies, was not fully accomplished. In contrast, adjusted Cox proportional hazards analyses substantiated that both the inflammation score and the chronicity score are independently associated with graft loss, exhibiting hazard ratios of 1.7 (95% confidence interval, 1.2-2.3; P = 0.002) and 2.2 (95% confidence interval, 1.8-2.6; P < 0.001), respectively, per 0.25-point increment (scale: 0.0-1.0). CONCLUSIONS The composite inflammation and chronicity scores may already have direct utility in quantitatively assessing the disease stage. Further refinement and validation of RejectClass clusters are necessary to achieve more reliable and accurate phenotyping of rejection.
Collapse
Affiliation(s)
| | - Nassim Kakavand
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Charlotte Gleske
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Florian Schraml
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Agathe A Basta
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias C Braunisch
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan H Bräsen
- Nephropathology Unit, Department of Pathology, Hannover Medical School, Hannover, Germany
| | - Jessica Schmitz
- Nephropathology Unit, Department of Pathology, Hannover Medical School, Hannover, Germany
| | - Daniel Kraus
- Department of Nephrology, Department of Internal Medicine 1, University Medical Center Mainz, Mainz, Germany
| | - Julia Weinmann-Menke
- Department of Nephrology, Department of Internal Medicine 1, University Medical Center Mainz, Mainz, Germany
| | - Helena U Zacharias
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
| | - Thibaut Vaulet
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Markus Krautter
- Department of Nephrology, Transplant Center, Klinikum Stuttgart, Stuttgart, Germany
| | - Vedat Schwenger
- Department of Nephrology, Transplant Center, Klinikum Stuttgart, Stuttgart, Germany
| | - Grit Esser
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Benedikt Kolbrink
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Kerstin Amann
- Department of Nephropathology, University Hospital Erlangen, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Christopher Holzmann-Littig
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Fabian Echterdiek
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ulrich Kunzendorf
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Lutz Renders
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Kevin Schulte
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Uwe Heemann
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| |
Collapse
|
4
|
Vaulet T, Callemeyn J, Lamarthée B, Antoranz A, Debyser T, Koshy P, Anglicheau D, Colpaert J, Gwinner W, Halloran PF, Kuypers D, Tinel C, Van Craenenbroeck A, Van Loon E, Marquet P, Bosisio F, Naesens M. The Clinical Relevance of the Infiltrating Immune Cell Composition in Kidney Transplant Rejection. J Am Soc Nephrol 2024:00001751-990000000-00284. [PMID: 38640017 DOI: 10.1681/asn.0000000000000350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/02/2024] [Indexed: 04/21/2024] Open
Abstract
Key Points
The estimated composition of immune cells in kidney transplants correlates poorly with the primary rejection categories defined by Banff criteria.Spatial cell distribution could be coupled with a detailed cellular composition to assess causal triggers for allorecognition.Intragraft CD8temra cells showed strong and consistent association with graft failure, regardless of the Banff rejection phenotypes.
Background
The link between the histology of kidney transplant rejection, especially antibody-mediated rejection, T-cell–mediated rejection, and mixed rejection, and the types of infiltrating immune cells is currently not well charted. Cost and technical complexity of single-cell analysis hinder large-scale studies of the relationship between cell infiltrate profiles and histological heterogeneity.
Methods
In this cross-sectional study, we assessed the composition of nine intragraft immune cell types by using a validated kidney transplant–specific signature matrix for deconvolution of bulk transcriptomics in three different kidney transplant biopsy datasets (N=403, N=224, N=282). The association and discrimination of the immune cell types with the Banff histology and the association with graft failure were assessed individually and with multivariable models. Unsupervised clustering algorithms were applied on the overall immune cell composition and compared with the Banff phenotypes.
Results
Banff-defined rejection was related to high presence of CD8+ effector T cells, natural killer cells, monocytes/macrophages, and, to a lesser extent, B cells, whereas CD4+ memory T cells were lower in rejection compared with no rejection. Estimated intragraft effector memory–expressing CD45RA (TEMRA) CD8+ T cells were strongly and consistently associated with graft failure. The large heterogeneity in immune cell composition across rejection types prevented supervised and unsupervised methods to accurately recover the Banff phenotypes solely on the basis of immune cell estimates. The lack of correlation between immune cell composition and Banff-defined rejection types was validated using multiplex immunohistochemistry.
Conclusions
Although some specific cell types (FCGR3A
+ myeloid cells, CD14
+ monocytes/macrophages, and NK cells) partly discriminated between rejection phenotypes, the overall estimated immune cell composition of kidney transplants was ill related to main Banff-defined rejection categories and added to the Banff lesion scoring and evaluation of rejection severity. The estimated intragraft CD8temra cells bore strong and consistent association with graft failure and were independent of Banff-grade rejection.
Collapse
Affiliation(s)
- Thibaut Vaulet
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Jasper Callemeyn
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Baptiste Lamarthée
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- EFS, INSERM, UMR RIGHT, Université de Franche-Comté, Besançon, France
| | - Asier Antoranz
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Tim Debyser
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Priyanka Koshy
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Dany Anglicheau
- Department of Nephrology and Kidney Transplantation, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
- Inserm U1151, Necker Enfants-Malades Institute, Université Paris Cité, Paris, France
| | - Jill Colpaert
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Wilfried Gwinner
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Philip F Halloran
- Division of Nephrology and Transplant Immunology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Dirk Kuypers
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Claire Tinel
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- EFS, INSERM, UMR RIGHT, Université de Franche-Comté, Besançon, France
- Department of Nephrology and Kidney Transplantation, Dijon University Hospital, Dijon, France
| | - Amaryllis Van Craenenbroeck
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Elisabet Van Loon
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Pierre Marquet
- Department of Pharmacology and Transplantation, Inserm U1248, Limoges University Hospital, University of Limoges, Limoges, France
| | - Francesca Bosisio
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| |
Collapse
|
5
|
Bromberg JS, Bunnapradist S, Samaniego-Picota M, Anand S, Stites E, Gauthier P, Demko Z, Prewett A, Armer-Cabral M, Marshall K, Kaur N, Bloom MS, Tabriziani H, Bhorade S, Cooper M. Elevation of Donor-derived Cell-free DNA Before Biopsy-proven Rejection in Kidney Transplant. Transplantation 2024:00007890-990000000-00724. [PMID: 38595232 DOI: 10.1097/tp.0000000000005007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
BACKGROUND Standard-of-care biomarkers for renal allograft rejection are lagging indicators, signaling existing organ injury. This precludes early intervention, when immunological cascades leading to rejection are most susceptible. Donor-derived cell-free DNA (dd-cfDNA) shows promise as an early indicator of rejection, allowing earlier and possibly more effective treatment. This analysis was designed to assess this promise using real-world dd-cfDNA testing evidence. METHODS This retrospective analysis of the prospective, observational ProActive registry study (NCT04091984) assessed dd-cfDNA and serum creatinine levels before biopsy in 424 patients with ≥1 dd-cfDNA test (n = 1013) in the 6 mo before biopsy. RESULTS Of 4667 enrolled patients, 1631 patients had ≥18 mo of follow-up data, of which 424 had a biopsy and were included in this analysis. Twenty-six biopsies showed antibody-mediated rejection (ABMR), 62 showed T cell-mediated rejection, and 336 showed nonrejection; each from a unique patient. dd-cfDNA fractions were significantly elevated 5 mo before ABMR biopsies, and 2 mo before T cell-mediated rejection biopsies, compared with nonrejection biopsies. In contrast, serum creatinine did not discriminate between rejection and nonrejection in advance, or concurrent with biopsy. Among patients with nonrejection biopsies, estimated glomerular filtration rate was significantly lower in cases with ≥2 increased dd-cfDNA results (≥1%), compared with those with 0 or 1 increased dd-cfDNA result. CONCLUSIONS These data indicate that dd-cfDNA is an early indicator of biopsy-proven rejection, especially ABMR, suggesting a greater role for dd-cfDNA in surveillance to identify patients at high risk of ongoing or future rejection, thus requiring closer monitoring, biopsy, or other management changes.
Collapse
Affiliation(s)
- Jonathan S Bromberg
- Department of Surgery, University of Maryland, School of Medicine, Baltimore, MD
| | | | | | | | - Erik Stites
- School of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO
| | | | | | | | | | | | | | | | | | | | - Matthew Cooper
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI
| |
Collapse
|
6
|
Van Loon E, Tinel C, de Loor H, Bossuyt X, Callemeyn J, Coemans M, De Vusser K, Sauvaget V, Olivre J, Koshy P, Kuypers D, Sprangers B, Van Craenenbroeck AH, Vaulet T, Anglicheau D, Naesens M. Automated Urinary Chemokine Assays for Noninvasive Detection of Kidney Transplant Rejection: A Prospective Cohort Study. Am J Kidney Dis 2024; 83:467-476. [PMID: 37777058 DOI: 10.1053/j.ajkd.2023.07.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 07/24/2023] [Accepted: 07/29/2023] [Indexed: 10/02/2023]
Abstract
RATIONALE & OBJECTIVE Prior studies have demonstrated the diagnostic potential of urinary chemokines C-X-C motif ligand 9 (CXCL9) and CXCL10 for kidney transplant rejection. However, their benefit in addition to clinical information has not been demonstrated. We evaluated the diagnostic performance for detecting acute rejection of urinary CXCL9 and CXCL10 when integrated with clinical information. STUDY DESIGN Single-center prospective cohort study. SETTING & PARTICIPANTS We analyzed 1,559 biopsy-paired urinary samples from 622 kidney transplants performed between April 2013 and July 2019 at a single transplant center in Belgium. External validation was performed in 986 biopsy-paired urinary samples. TESTS COMPARED We quantified urinary CXCL9 (uCXCL9) and CXCL10 (uCXCL10) using an automated immunoassay platform and normalized the values to urinary creatinine. Urinary chemokines were incorporated into a multivariable model with routine clinical markers (estimated glomerular filtration rate, donor-specific antibodies, and polyoma viremia) (integrated model). This model was then compared with the tissue diagnosis according to the Banff classification for acute rejection. OUTCOME Acute rejection detected on kidney biopsy using the Banff classification. RESULTS Chemokines integrated with routine clinical markers had high diagnostic value for detection of acute rejection (n=150) (receiver operating characteristic area under the curve 81.3% [95% CI, 77.6-85.0]). The integrated model would help avoid 59 protocol biopsies per 100 patients when the risk for rejection is predicted to be below 10%. The performance of the integrated model was similar in the external validation cohort. LIMITATIONS The cross-sectional nature obviates investigating the evolution over time and prediction of future rejection. CONCLUSIONS The use of an integrated model of urinary chemokines and clinical markers for noninvasive monitoring of rejection could enable a reduction in the number of biopsies. Urinary chemokines may be useful noninvasive biomarkers whose use should be further studied in prospective randomized trials to clarify their role in guiding clinical care and the use of biopsies to detect rejection after kidney transplantation. PLAIN-LANGUAGE SUMMARY Urinary chemokines CXCL9 and CXCL10 have been suggested to be good noninvasive biomarkers of kidney transplant rejection. However, defining a context of use and integration with clinical information is necessary before clinical implementation can begin. In this study, we demonstrated that urinary chemokines CXCL9 and CXCL10, together with clinical information, have substantial diagnostic accuracy for the detection of acute kidney transplant rejection. Application of urinary chemokines together with clinical information may guide biopsy practices following kidney transplantation and potentially reduce the need for kidney transplant biopsies.
Collapse
Affiliation(s)
- Elisabet Van Loon
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Claire Tinel
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven
| | - Henriette de Loor
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven
| | - Xavier Bossuyt
- Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven; Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Jasper Callemeyn
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maarten Coemans
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven
| | - Katrien De Vusser
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | | | | | | | - Dirk Kuypers
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Ben Sprangers
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Laboratory of Molecular Immunology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Leuven
| | - Amaryllis H Van Craenenbroeck
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Thibaut Vaulet
- ESAT STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven
| | - Dany Anglicheau
- INSERM U1151, Université de Paris, Paris, France; Department of Nephrology and Kidney Transplantation, RTRS Centaure, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Roufosse C, Naesens M, Haas M, Lefaucheur C, Mannon RB, Afrouzian M, Alachkar N, Aubert O, Bagnasco SM, Batal I, Bellamy COC, Broecker V, Budde K, Clahsen-Van Groningen M, Coley SM, Cornell LD, Dadhania D, Demetris AJ, Einecke G, Farris AB, Fogo AB, Friedewald J, Gibson IW, Horsfield C, Huang E, Husain SA, Jackson AM, Kers J, Kikić Ž, Klein A, Kozakowski N, Liapis H, Mangiola M, Montgomery RA, Nankinvell B, Neil DAH, Nickerson P, Rabant M, Randhawa P, Riella LV, Rosales I, Royal V, Sapir-Pichhadze R, Sarder P, Sarwal M, Schinstock C, Stegall M, Solez K, van der Laak J, Wiebe C, Colvin RB, Loupy A, Mengel M. The Banff 2022 Kidney Meeting Work Plan: Data-driven refinement of the Banff Classification for renal allografts. Am J Transplant 2024; 24:350-361. [PMID: 37931753 PMCID: PMC11135910 DOI: 10.1016/j.ajt.2023.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/11/2023] [Indexed: 11/08/2023]
Abstract
The XVIth Banff Meeting for Allograft Pathology was held in Banff, Alberta, Canada, from September 19 to 23, 2022, as a joint meeting with the Canadian Society of Transplantation. In addition to a key focus on the impact of microvascular inflammation and biopsy-based transcript analysis on the Banff Classification, further sessions were devoted to other aspects of kidney transplant pathology, in particular T cell-mediated rejection, activity and chronicity indices, digital pathology, xenotransplantation, clinical trials, and surrogate endpoints. Although the output of these sessions has not led to any changes in the classification, the key role of Banff Working Groups in phrasing unanswered questions, and coordinating and disseminating results of investigations addressing these unanswered questions was emphasized. This paper summarizes the key Banff Meeting 2022 sessions not covered in the Banff Kidney Meeting 2022 Report paper and also provides an update on other Banff Working Group activities relevant to kidney allografts.
Collapse
Affiliation(s)
- Candice Roufosse
- Department of Immunology and Inflammation, Faculty Medicine, Imperial College London, London, UK.
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
| | - 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
| | - Roslyn B Mannon
- Department of Internal Medicine, Division of Nephrology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Marjan Afrouzian
- Department of Pathology, University of Texas Medical Branch at Galveston, Texas, USA
| | - Nada Alachkar
- Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Olivier Aubert
- Université Paris Cité, INSERM, PARCC, Paris Institute for Transplantation and Organ Regeneration, France & Department of Transplantation, Necker Hospital, Paris, France
| | - Serena M Bagnasco
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ibrahim Batal
- Pathology & Cell Biology, Columbia University Irving Medical Center, New York, USA
| | | | - Verena Broecker
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Klemens Budde
- Department of Nephrology, Charité Universitätsmedizin, Berlin, Germany
| | - Marian Clahsen-Van Groningen
- Department of Pathology and Clinical Bioinformatics, Erasmus University Center Rotterdam, Rotterdam, Netherlands; Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
| | - Shana M Coley
- Transplant Translational Research, Arkana Laboratories, Arkansas, USA
| | - Lynn D Cornell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Darshana Dadhania
- Department Medicine, Weill Cornell Medical College of Cornell University, New York, New York, USA
| | - Anthony J Demetris
- UPMC Hepatic and Transplantation Pathology, Pittsburg, Pennsylvania, USA
| | - Gunilla Einecke
- Department of Nephrology and Rheumatology, University Medical Center Göttingen, Germany
| | - Alton B Farris
- Department of Pathology and Laboratory Medicine, Emory University, USA
| | - Agnes B Fogo
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John Friedewald
- Comprehensive Transplant Center, Northwestern University, USA
| | - Ian W Gibson
- Department of Pathology, University of Manitoba, Winnipeg, Canada
| | | | - Edmund Huang
- Department of Medicine, Division of Nephrology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Syed A Husain
- Division of Nephrology, Columbia University, New York, New York, USA
| | | | - Jesper Kers
- Department of Pathology, Leiden University Medical Center, Netherlands; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Željko Kikić
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | | | | | - Helen Liapis
- Ludwig Maximillian University Munich, Nephrology Center, Germany
| | | | | | - Brian Nankinvell
- Department of Renal Medicine, Westmead Hospital, Westmead, New South Wales, Australia
| | - Desley A H Neil
- Department of Cellular Pathology, Queen Elizabeth Hospital Birmingham and Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Peter Nickerson
- Department of Medicine and Department of Immunology, University of Manitoba, Winnipeg, Canada
| | - Marion Rabant
- Pathology department, Necker-Enfants Malades Hospital, Paris, France
| | - Parmjeet Randhawa
- 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
| | - Ivy Rosales
- Immunopathology Research Laboratory, Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Virginie Royal
- Maisonneuve-Rosemont Hospital, University of Montreal, Quebec, Canada
| | - Ruth Sapir-Pichhadze
- Division of Nephrology & Multiorgan Transplant Program, McGill University, Montreal, Quebec, Canada
| | - Pinaki Sarder
- Department of Medicine-Quantitative Health, University of Florida College of Medicine, Florida, USA
| | - Minnie Sarwal
- Division of MultiOrgan Transplantation, UCSF, San Francisco, California, USA
| | - Carrie Schinstock
- Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Mark Stegall
- Department Transplantation Surgery, Mayo Clinic, Rochester, Massachusetts, USA
| | - Kim Solez
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
| | | | - Chris Wiebe
- Department of Medicine and Department of Immunology, University of Manitoba, Winnipeg, Canada
| | - Robert B 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
| |
Collapse
|
9
|
Sato T, Azuma Y, Ozone C, Okazaki M, Takeda A, Okada M, Futamura K, Hiramitsu T, Goto N, Narumi S, Watarai Y. Possible Advantage of Glucagon-Like Peptide 1 Receptor Agonists for Kidney Transplant Recipients With Type 2 Diabetes. J Clin Endocrinol Metab 2023; 108:2597-2603. [PMID: 36974363 DOI: 10.1210/clinem/dgad177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 03/19/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023]
Abstract
CONTEXT Glucagon-like peptide-1 (GLP-1) receptor agonists (RAs) have the potential to improve native kidney function. OBJECTIVE This work aimed to elucidate the possible protective effects of GLP-1 RAs on kidney graft function after successful kidney transplantation (KTX). METHODS This retrospective cohort study included all KTX recipients (KTRs) at our facility with type 2 diabetes who were followed up from 1 month post-transplantation for 24 months or longer as of December 31, 2020. We investigated associations between the use of GLP-1 RAs and other antidiabetic medications (non-GLP-1 RAs) and the risk of sustained estimated glomerular filtration rate (eGFR) reduction (40% reduction compared with baseline for 4 months) for KTRs with type 2 diabetes. We calculated the propensity score of initiating GLP-1 RAs compared with that of initiating non-GLP-1 RAs as a function of baseline covariates using logistic regression. The inverse probability of the treatment-weighted odds ratio was estimated to control for baseline confounding variables. Sodium-glucose cotransporter 2 inhibitor use was a competing event. The primary outcome was sustained eGFR reduction of at least 40% from baseline for 4 months post-transplantation. RESULTS Seventy-three patients were GLP-1 RA users and 73 were non-GLP-1 RA users. Six patients and 1 patient in the non-GLP-1 RA and GLP-1 RA groups had sustained eGFR reduction. GLP-1 RA use after KTX was associated with a lower risk of sustained eGFR reduction. CONCLUSION GLP-1 RAs resulted in lower eGFR reduction compared with non-GLP-1 RAs and may contribute to better kidney graft survival after KTX.
Collapse
Affiliation(s)
- Tetsuhiko Sato
- Division of Integrated Strategic Medicine, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
- Division of Diabetes and Endocrinology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Yoshinori Azuma
- Division of Diabetes and Endocrinology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Chikafumi Ozone
- Division of Diabetes and Endocrinology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Mikako Okazaki
- Division of Diabetes and Endocrinology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Asami Takeda
- Department of Nephrology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Manabu Okada
- Department of Transplant Surgery, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Kenta Futamura
- Department of Transplant Nephrology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Takahisa Hiramitsu
- Department of Transplant Surgery, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Norihiko Goto
- Department of Transplant Nephrology, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Shunji Narumi
- Department of Transplant Surgery, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| | - Yoshihiko Watarai
- Department of Transplant Surgery, Japanese Red Cross Aichi Medical Center, Nagoya Daini Hospital, Nagoya, Aichi 4668650, Japan
| |
Collapse
|
10
|
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.
Collapse
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
| | | |
Collapse
|
11
|
Lamarthée B, Callemeyn J, Van Herck Y, Antoranz A, Anglicheau D, Boada P, Becker JU, Debyser T, De Smet F, De Vusser K, Eloudzeri M, Franken A, Gwinner W, Koshy P, Kuypers D, Lambrechts D, Marquet P, Mathias V, Rabant M, Sarwal MM, Senev A, Sigdel TK, Sprangers B, Thaunat O, Tinel C, Van Brussel T, Van Craenenbroeck A, Van Loon E, Vaulet T, Bosisio F, Naesens M. Transcriptional and spatial profiling of the kidney allograft unravels a central role for FcyRIII+ innate immune cells in rejection. Nat Commun 2023; 14:4359. [PMID: 37468466 DOI: 10.1038/s41467-023-39859-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 06/28/2023] [Indexed: 07/21/2023] Open
Abstract
Rejection remains the main cause of premature graft loss after kidney transplantation, despite the use of potent immunosuppression. This highlights the need to better understand the composition and the cell-to-cell interactions of the alloreactive inflammatory infiltrate. Here, we performed droplet-based single-cell RNA sequencing of 35,152 transcriptomes from 16 kidney transplant biopsies with varying phenotypes and severities of rejection and without rejection, and identified cell-type specific gene expression signatures for deconvolution of bulk tissue. A specific association was identified between recipient-derived FCGR3A+ monocytes, FCGR3A+ NK cells and the severity of intragraft inflammation. Activated FCGR3A+ monocytes overexpressed CD47 and LILR genes and increased paracrine signaling pathways promoting T cell infiltration. FCGR3A+ NK cells overexpressed FCRL3, suggesting that antibody-dependent cytotoxicity is a central mechanism of NK-cell mediated graft injury. Multiplexed immunofluorescence using 38 markers on 18 independent biopsy slides confirmed this role of FcγRIII+ NK and FcγRIII+ nonclassical monocytes in antibody-mediated rejection, with specificity to the glomerular area. These results highlight the central involvement of innate immune cells in the pathogenesis of allograft rejection and identify several potential therapeutic targets that might improve allograft longevity.
Collapse
Affiliation(s)
- Baptiste Lamarthée
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Université de Franche-Comté, UBFC, EFS, Inserm UMR RIGHT, Besançon, France
| | - Jasper Callemeyn
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Yannick Van Herck
- Department of Oncology, Laboratory for Experimental Oncology, KU Leuven, Leuven, Belgium
| | - Asier Antoranz
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Dany Anglicheau
- Department of Nephrology and Kidney Transplantation, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
- Université Paris Cité, Inserm U1151, Necker Enfants-Malades Institute, Paris, France
| | - Patrick Boada
- Division of Multi-Organ Transplantation, Department of Surgery, UCSF, 513 Parnassus, San Francisco, CA, USA
| | - Jan Ulrich Becker
- Institute of Pathology, University Hospital Cologne, Cologne, Germany
| | - Tim Debyser
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Frederik De Smet
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Katrien De Vusser
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maëva Eloudzeri
- Université Paris Cité, Inserm U1151, Necker Enfants-Malades Institute, Paris, France
| | - Amelie Franken
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Human Genetics, Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium
| | - Wilfried Gwinner
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Priyanka Koshy
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Dirk Kuypers
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Human Genetics, Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium
| | - Pierre Marquet
- Department of Pharmacology and Transplantation, University of Limoges, Inserm U1248, Limoges University Hospital, Limoges, France
| | - Virginie Mathias
- EFS, HLA Laboratory, Décines, France
- Université Claude Bernard Lyon I, Inserm U1111, CNRS UMR5308, CIRI, Ecole Normale Supérieure de Lyon, Lyon, France
| | - Marion Rabant
- Université Paris Cité, Inserm U1151, Necker Enfants-Malades Institute, Paris, France
- Department of Pathology, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Minnie M Sarwal
- Division of Multi-Organ Transplantation, Department of Surgery, UCSF, 513 Parnassus, San Francisco, CA, USA
| | - Aleksandar Senev
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Histocompatibility and Immunogenetics Laboratory, Red Cross-Flanders, Mechelen, Belgium
| | - Tara K Sigdel
- Division of Multi-Organ Transplantation, Department of Surgery, UCSF, 513 Parnassus, San Francisco, CA, USA
| | - Ben Sprangers
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Olivier Thaunat
- Université Claude Bernard Lyon I, Inserm U1111, CNRS UMR5308, CIRI, Ecole Normale Supérieure de Lyon, Lyon, France
- Hospices Civils de Lyon, Edouard Herriot Hospital, Department of Transplantation, Nephrology and Clinical Immunology, Lyon, France
| | - Claire Tinel
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Université de Franche-Comté, UBFC, EFS, Inserm UMR RIGHT, Besançon, France
- Department of Nephrology and Kidney Transplantation, Dijon Hospital, Dijon, France
| | - Thomas Van Brussel
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Human Genetics, Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium
| | - Amaryllis Van Craenenbroeck
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Elisabet Van Loon
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Thibaut Vaulet
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium
| | - Francesca Bosisio
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
| |
Collapse
|
12
|
Li JSY, Raghubar AM, Matigian NA, Ng MSY, Rogers NM, Mallett AJ. The Utility of Spatial Transcriptomics for Solid Organ Transplantation. Transplantation 2023; 107:1463-1471. [PMID: 36584371 DOI: 10.1097/tp.0000000000004466] [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: 12/31/2022]
Abstract
Spatial transcriptomics (ST) measures and maps transcripts within intact tissue sections, allowing the visualization of gene activity within the spatial organization of complex biological systems. This review outlines advances in genomic sequencing technologies focusing on in situ sequencing-based ST, including applications in transplant and relevant nontransplant settings. We describe the experimental and analytical pipelines that underpin the current generation of spatial technologies. This context is important for understanding the potential role ST may play in expanding our knowledge, including in organ transplantation, and the important caveats/limitations when interpreting the vast data output generated by such methodological platforms.
Collapse
Affiliation(s)
- Jennifer S Y Li
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Arti M Raghubar
- Kidney Health Service, Royal Brisbane and Women's Hospital, QLD, Australia
- Conjoint Internal Medicine Laboratory, Pathology Queensland, Health Support Queensland, QLD, Australia
- Department of Anatomical Pathology, Pathology Queensland, Health Support Queensland, QLD, Australia
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
| | - Nicholas A Matigian
- QCIF Facility for Advanced Bioinformatics, The University of Queensland, QLD, Australia
| | - Monica S Y Ng
- Kidney Health Service, Royal Brisbane and Women's Hospital, QLD, Australia
- Conjoint Internal Medicine Laboratory, Pathology Queensland, Health Support Queensland, QLD, Australia
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
- Nephrology Department, Princess Alexandra Hospital, QLD, Australia
| | - Natasha M Rogers
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Department of Renal Medicine, Westmead Hospital, Westmead, NSW, Australia
| | - Andrew J Mallett
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
- College of Medicine and Dentistry, James Cook University, QLD, Australia
- Department of Renal Medicine, Townsville University Hospital, QLD, Australia
| |
Collapse
|
13
|
See SB, Yang X, Burger C, Lamarthée B, Snanoudj R, Shihab R, Tsapepas DS, Roy P, Larivière-Beaudoin S, Hamelin K, Rojas AM, van Besouw NM, Bartosic A, Daniel N, Vasilescu ER, Mohan S, Cohen D, Ratner L, Baan CC, Bromberg JS, Cardinal H, Anglicheau D, Sun Y, Zorn E. Natural Antibodies Are Associated With Rejection and Long-term Renal Allograft Loss in a Multicenter International Cohort. Transplantation 2023; 107:1580-1592. [PMID: 36728359 PMCID: PMC10290575 DOI: 10.1097/tp.0000000000004472] [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] [Indexed: 02/03/2023]
Abstract
BACKGROUND Potentially harmful nonhuman leukocyte antigen antibodies have been identified in renal transplantation, including natural immunoglobulin G antibodies (Nabs) reactive to varied antigenic structures, including apoptotic cells. METHODS In this retrospective, multicenter study, we assessed Nabs by reactivity to apoptotic cells in sera collected from 980 kidney transplant recipients across 4 centers to determine their association with graft outcomes. RESULTS Elevated pretransplant Nabs were associated with graft loss (hazard ratio [HR] 2.71; 95% confidence interval [CI], 1.15-6.39; P = 0.0232), the composite endpoint of graft loss or severe graft dysfunction (HR 2.40; 95% CI, 1.13-5.10; P = 0.0232), and T cell-mediated rejection (odds ratio [OR] 1.77; 95% CI, 1.07-3.02; P = 0.0310). High pretransplant Nabs together with donor-specific antibodies (DSAs) were associated with increased risk of composite outcomes (HR 6.31; 95% CI, 1.81-22.0; P = 0.0039). In patients with high pretransplant Nabs, the subsequent development of posttransplant Nabs was associated with both T cell-mediated rejection (OR 3.64; 95% CI, 1.61-8.36; P = 0.0021) and mixed rejection (OR 3.10; 95% CI, 1.02-9.75; P = 0.0473). Finally, elevated pre- and posttransplant Nabs combined with DSAs were associated with increased risk of composite outcomes (HR 3.97; 95% CI, 1.51-10.43; P = 0.0052) and T cell-mediated rejection (OR 7.28; 95% CI, 2.16-25.96; P = 0.0016). CONCLUSIONS The presence of pre- and posttransplant Nabs, together with DSAs, was associated with increased risk of poor graft outcomes and rejection after renal transplantation.
Collapse
Affiliation(s)
- Sarah B. See
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, USA
| | - Xue Yang
- Department of Biostatistics, Columbia University Irving Medical Center, New York, USA
| | - Carole Burger
- Department of Kidney Transplantation, Hôpital Universitaire Necker-Assistance Publique Hopitaux de Paris, France
| | - Baptiste Lamarthée
- Necker-Enfants Malades Institute, Inserm U1151, Université de Paris, Paris, France
| | - Renaud Snanoudj
- Department of Kidney Transplantation, Hôpital Kremlin Bicêtre, Paris, France
| | - Ronzon Shihab
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, USA
| | - Demetra S. Tsapepas
- Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, USA
| | - Poulomi Roy
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, USA
| | - Stéphanie Larivière-Beaudoin
- Research Center, Centre Hospitalier de l’Université de Montréal, Montreal, Canada
- Canadian Donation and Transplantation Research Program, Edmonton, Canada
| | - Katia Hamelin
- Research Center, Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Aleixandra Mendoza Rojas
- Department of Internal Medicine – Nephrology and Transplantation, Transplant Institute, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Nicole M. van Besouw
- Department of Internal Medicine – Nephrology and Transplantation, Transplant Institute, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Amanda Bartosic
- Department of Surgery, University of Maryland School of Medicine, Baltimore, USA
| | - Nikita Daniel
- Department of Surgery, University of Maryland School of Medicine, Baltimore, USA
| | - E. Rodica Vasilescu
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, USA
| | - David Cohen
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, USA
| | - Lloyd Ratner
- Department of Medicine, Division of Nephrology, Columbia University College of Physicians & Surgeons, New York, USA
| | - Carla C. Baan
- Department of Internal Medicine – Nephrology and Transplantation, Transplant Institute, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jonathan S. Bromberg
- Department of Surgery, University of Maryland School of Medicine, Baltimore, USA
| | - Héloïse Cardinal
- Research Center, Centre Hospitalier de l’Université de Montréal, Montreal, Canada
- Canadian Donation and Transplantation Research Program, Edmonton, Canada
| | - Dany Anglicheau
- Department of Kidney Transplantation, Hôpital Universitaire Necker-Assistance Publique Hopitaux de Paris, France
| | - Yifei Sun
- Department of Biostatistics, Columbia University Irving Medical Center, New York, USA
| | - Emmanuel Zorn
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, USA
| |
Collapse
|
14
|
Smith RN, Rosales IA, Tomaszewski KT, Mahowald GT, Araujo-Medina M, Acheampong E, Bruce A, Rios A, Otsuka T, Tsuji T, Hotta K, Colvin R. Utility of Banff Human Organ Transplant Gene Panel in Human Kidney Transplant Biopsies. Transplantation 2023; 107:1188-1199. [PMID: 36525551 PMCID: PMC10132999 DOI: 10.1097/tp.0000000000004389] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Microarray transcript analysis of human renal transplantation biopsies has successfully identified the many patterns of graft rejection. To evaluate an alternative, this report tests whether gene expression from the Banff Human Organ Transplant (B-HOT) probe set panel, derived from validated microarrays, can identify the relevant allograft diagnoses directly from archival human renal transplant formalin-fixed paraffin-embedded biopsies. To test this hypothesis, principal components (PCs) of gene expressions were used to identify allograft diagnoses, to classify diagnoses, and to determine whether the PC data were rich enough to identify diagnostic subtypes by clustering, which are all needed if the B-HOT panel can substitute for microarrays. METHODS RNA was isolated from routine, archival formalin-fixed paraffin-embedded tissue renal biopsy cores with both rejection and nonrejection diagnoses. The B-HOT panel expression of 770 genes was analyzed by PCs, which were then tested to determine their ability to identify diagnoses. RESULTS PCs of microarray gene sets identified the Banff categories of renal allograft diagnoses, modeled well the aggregate diagnoses, showing a similar correspondence with the pathologic diagnoses as microarrays. Clustering of the PCs identified diagnostic subtypes including non-chronic antibody-mediated rejection with high endothelial expression. PCs of cell types and pathways identified new mechanistic patterns including differential expression of B and plasma cells. CONCLUSIONS Using PCs of gene expression from the B-Hot panel confirms the utility of the B-HOT panel to identify allograft diagnoses and is similar to microarrays. The B-HOT panel will accelerate and expand transcript analysis and will be useful for longitudinal and outcome studies.
Collapse
Affiliation(s)
- Rex N Smith
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Center for Transplantation Sciences, Massachusetts General Hospital, Boston, MA
| | - Ivy A Rosales
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Center for Transplantation Sciences, Massachusetts General Hospital, Boston, MA
| | - Kristen T Tomaszewski
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Center for Transplantation Sciences, Massachusetts General Hospital, Boston, MA
| | - Grace T Mahowald
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Milagros Araujo-Medina
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ellen Acheampong
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Amy Bruce
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Andrea Rios
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Takuya Otsuka
- Department of Surgical Pathology, Hokkaido University Hospital, Sapporo, Japan
| | - Takahiro Tsuji
- Department of Pathology, Sapporo City General Hospital, Sapporo, Japan
| | - Kiyohiko Hotta
- Department of Urology, Hokkaido University Hospital, Sapporo, Japan
| | - Robert Colvin
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Center for Transplantation Sciences, Massachusetts General Hospital, Boston, MA
| |
Collapse
|
15
|
Virmani S, Rao A, Menon MC. Allograft tissue under the microscope: only the beginning. Curr Opin Organ Transplant 2023; 28:126-132. [PMID: 36787238 PMCID: PMC10214011 DOI: 10.1097/mot.0000000000001052] [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] [Indexed: 02/15/2023]
Abstract
PURPOSE OF REVIEW To review novel modalities for interrogating a kidney allograft biopsy to complement the current Banff schema. RECENT FINDINGS Newer approaches of Artificial Intelligence (AI), Machine Learning (ML), digital pathology including Ex Vivo Microscopy, evaluation of the biopsy gene expression using bulk, single cell, and spatial transcriptomics and spatial proteomics are now available for tissue interrogation. SUMMARY Banff Schema of classification of allograft histology has standardized reporting of tissue pathology internationally greatly impacting clinical care and research. Inherent sampling error of biopsies, and lack of automated morphometric analysis with ordinal outputs limit its performance in prognostication of allograft health. Over the last decade, there has been an explosion of newer methods of evaluation of allograft tissue under the microscope. Digital pathology along with the application of AI and ML algorithms could revolutionize histopathological analyses. Novel molecular diagnostics such as spatially resolved single cell transcriptomics are identifying newer mechanisms underlying the pathologic diagnosis to delineate pathways of immunological activation, tissue injury, repair, and regeneration in allograft tissues. While these techniques are the future of tissue analysis, costs and complex logistics currently limit their clinical use.
Collapse
Affiliation(s)
- Sarthak Virmani
- Section of Nephrology, Division of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | | | | |
Collapse
|
16
|
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.
Collapse
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
| | | |
Collapse
|
17
|
Bezstarosti S, Meziyerh S, Reinders MEJ, Voogt-Bakker K, Groeneweg KE, Roelen DL, Kers J, de Fijter JW, Heidt S. HLA-DQ eplet mismatch load may identify kidney transplant patients eligible for tacrolimus withdrawal without donor-specific antibody formation after mesenchymal stromal cell therapy. HLA 2023. [PMID: 36841928 DOI: 10.1111/tan.15008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/14/2023] [Accepted: 02/18/2023] [Indexed: 02/27/2023]
Abstract
Recently, the randomized phase-II Triton study demonstrated that mesenchymal stromal cell (MSC) therapy facilitated early tacrolimus withdrawal in living donor kidney transplant recipients. The current sub-study analyzed formation of de novo donor-specific HLA antibodies (dnDSA) in the context of the degree of HLA eplet mismatches. At the time of protocol biopsy at 6 months, 7/29 patients (24%) in the MSC group and 1/27 patient (3.7%) in the control group had developed dnDSA. In the MSC group, all dnDSA were anti-HLA-DQ; two patients had anti-DQ alone and five patients combined with anti-class I, HLA-DR or -DP. Despite excess dnDSA formation in the MSC-arm of the study, the evolution of eGFR (CKD-EPI) and proteinuria were comparable 2 years posttransplant. All dnDSA were complement-binding and three patients had antibody-mediated rejection in the protocol biopsy, but overall rejection episodes were not increased. Everolimus had to be discontinued in nine patients because of toxicity, and tacrolimus was reintroduced in six patients because of dnDSA formation. The HLA-DQ eplet mismatch load independently associated with dnDSA (adjusted hazard ratio = 1.07 per eplet mismatch, p = 0.008). A threshold of ≥11 HLA-DQ eplet mismatches predicted subsequent dnDSA in all 11 patients in the MSC group, but specificity was low (44%). Further research is warranted to explore HLA molecular mismatch load as a biomarker to guide personalized maintenance immunosuppression in kidney transplantation.
Collapse
Affiliation(s)
- Suzanne Bezstarosti
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands.,Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Soufian Meziyerh
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
| | - Kim Voogt-Bakker
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Koen E Groeneweg
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jesper Kers
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Johan W de Fijter
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands.,Eurotransplant Reference Laboratory, Leiden, The Netherlands
| |
Collapse
|
18
|
Huang E, Mengel M, Clahsen-van Groningen MC, Jackson AM. Diagnostic Potential of Minimally Invasive Biomarkers: A Biopsy-centered Viewpoint From the Banff Minimally Invasive Diagnostics Working Group. Transplantation 2023; 107:45-52. [PMID: 36508645 PMCID: PMC9746335 DOI: 10.1097/tp.0000000000004339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 12/14/2022]
Abstract
With recent advances and commercial implementation of minimally invasive biomarkers in kidney transplantation, new strategies for the surveillance of allograft health are emerging. Blood and urine-based biomarkers can be used to detect the presence of rejection, but their applicability as diagnostic tests has not been studied. A Banff working group was recently formed to consider the potential of minimally invasive biomarkers for integration into the Banff classification for kidney allograft pathology. We review the existing data on donor-derived cell-free DNA, blood and urine transcriptomics, urinary protein chemokines, and next-generation diagnostics and conclude that the available data do not support their use as stand-alone diagnostic tests at this point. Future studies assessing their ability to distinguish complex phenotypes, differentiate T cell-mediated rejection from antibody-mediated rejection, and function as an adjunct to histology are needed to elevate these minimally invasive biomarkers from surveillance tests to diagnostic tests.
Collapse
Affiliation(s)
- Edmund Huang
- Division of Nephrology, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Michael Mengel
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Marian C. Clahsen-van Groningen
- Department of Pathology and Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Institute of Experimental and Systems Biology, RWTH Aachen University, Aachen, Germany
| | | |
Collapse
|
19
|
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.
Collapse
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
| |
Collapse
|
20
|
Vaulet T, Divard G, Thaunat O, Koshy P, Lerut E, Senev A, Aubert O, Van Loon E, Callemeyn J, Emonds MP, Van Craenenbroeck A, De Vusser K, Sprangers B, Rabeyrin M, Dubois V, Kuypers D, De Vos M, Loupy A, De Moor B, Naesens M. Data-Driven Chronic Allograft Phenotypes: A Novel and Validated Complement for Histologic Assessment of Kidney Transplant Biopsies. J Am Soc Nephrol 2022; 33:2026-2039. [PMID: 36316096 PMCID: PMC9678036 DOI: 10.1681/asn.2022030290] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/24/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND No validated system currently exists to realistically characterize the chronic pathology of kidney transplants that represents the dynamic disease process and spectrum of disease severity. We sought to develop and validate a tool to describe chronicity and severity of renal allograft disease and integrate it with the evaluation of disease activity. METHODS The training cohort included 3549 kidney transplant biopsies from an observational cohort of 937 recipients. We reweighted the chronic histologic lesions according to their time-dependent association with graft failure, and performed consensus k-means clustering analysis. Total chronicity was calculated as the sum of the weighted chronic lesion scores, scaled to the unit interval. RESULTS We identified four chronic clusters associated with graft outcome, based on the proportion of ambiguous clustering. The two clusters with the worst survival outcome were determined by interstitial fibrosis and tubular atrophy (IFTA) and by transplant glomerulopathy. The chronic clusters partially overlapped with the existing Banff IFTA classification (adjusted Rand index, 0.35) and were distributed independently of the acute lesions. Total chronicity strongly associated with graft failure (hazard ratio [HR], 8.33; 95% confidence interval [CI], 5.94 to 10.88; P<0.001), independent of the total activity scores (HR, 5.01; 95% CI, 2.83 to 7.00; P<0.001). These results were validated on an external cohort of 4031 biopsies from 2054 kidney transplant recipients. CONCLUSIONS The evaluation of total chronicity provides information on kidney transplant pathology that complements the estimation of disease activity from acute lesion scores. Use of the data-driven algorithm used in this study, called RejectClass, may provide a holistic and quantitative assessment of kidney transplant injury phenotypes and severity.
Collapse
Affiliation(s)
- Thibaut Vaulet
- ESAT Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
| | - Gillian Divard
- Paris Translational Research Center for Organ Transplantation, Université de Paris, INSERM, PARCC, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique–Hôpitaux de Paris, Paris, France
| | - Olivier Thaunat
- CIRI, INSERM U1111, Université Claude Bernard Lyon I, CNRS UMR5308, Ecole Normale Supérieure de Lyon, Univ. Lyon, Lyon, France
- Department of Transplantation, Nephrology, and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France
| | - Priyanka Koshy
- Department of Imaging and Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Evelyne Lerut
- Department of Imaging and 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
| | - Olivier Aubert
- Paris Translational Research Center for Organ Transplantation, Université de Paris, INSERM, PARCC, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique–Hôpitaux de Paris, Paris, France
| | - Elisabet Van Loon
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
| | - Jasper Callemeyn
- 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
| | - Amaryllis Van Craenenbroeck
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Katrien De Vusser
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Ben Sprangers
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maud Rabeyrin
- Department of Pathology, Hospices Civils de Lyon, Bron, France
| | - Valérie Dubois
- Human Leukocyte Antigen (HLA) Laboratory, French National Blood Service (EFS), Décines-Charpieu, France
| | - Dirk Kuypers
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maarten De Vos
- ESAT Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
- Department of Development and Regeneration, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Alexandre Loupy
- Paris Translational Research Center for Organ Transplantation, Université de Paris, INSERM, PARCC, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique–Hôpitaux de Paris, Paris, France
| | - Bart De Moor
- ESAT Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven, Belgium
- Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium
| |
Collapse
|
21
|
Muthukumar T, Anglicheau D. The ABCD of Kidney Allograft Pathology-The Beginning of the Beginning. J Am Soc Nephrol 2022; 33:1960-1963. [PMID: 36216509 PMCID: PMC9678039 DOI: 10.1681/asn.2022080967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Thangamani Muthukumar
- Nephrology and Transplantation Medicine, NewYork-Presbyterian Hospital/Weill Cornell Medicine, New York, New York
| | - Dany Anglicheau
- Department of Nephrology and Kidney Transplantation, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
- Institut National de la Santé et de la Recherche Médicale U1151, Paris, France
- Université de Paris, Paris, France
| |
Collapse
|
22
|
Yang Y, Qian Z, Feng M, Liao W, Wu Q, Wen F, Li Q. Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer. BMC Bioinformatics 2022; 23:437. [PMID: 36261786 PMCID: PMC9583491 DOI: 10.1186/s12859-022-04984-5] [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: 05/06/2022] [Accepted: 10/11/2022] [Indexed: 11/30/2022] Open
Abstract
Background Few studies have demonstrated that the relationship between m6A-related genes and the prognosis, tumor microenvironment and drug resistance of LC. Methods The main results were analyzed with bioinformatics methods. Results Hence, we found 10 m6A-related genes expressed less in tumor samples in comparison with normal ones. Using consensus clustering, all LC patients were grouped into 2 subgroups according to the overall expression of 10 differential expressed m6A-related genes. In two clusters, the OS and immune characteristics were different. We analyzed the predictive potential of 10 m6A-related genes in the prognosis of LC, and obtained a risk prognosis model on the strength of ZC3H13, CBLL1, ELAVL1 and YTHDF1 as the hub candidate genes through LASSO cox. The expression of 4 hub m6A-related genes was validated by IHC in the HPA database. The infiltration level of dendritic cell, CD4+ T cell and neutrophil that were affected by CNV level of m6A-related genes in LUAD and LUSC patients. Moreover, based on GSCALite database, we found that LUSC patients with hypermethylation tended to have a better overall survival. In terms of drug sensitivity, etoposide correlated negatively with ELAVL1, HNRNPC, RBM15B, YTHDF2 and CBLL1. ZC3H13 had positively association with afatinib, while HNRNPC was positively associated with dasatinib, erlotinib, lapatinib and TGX221. Crizotinib had a negative correlation with ELAVL1, CBLL1, HNRNPC and RBM15B. Conclusion In conclusion, m6A-related genes are important participants in LC and the expression levels of ZC3H13, CBLL1, ELAVL1 and YTHDF1 are significant for prediction and treatment of LC. Researches of drug resistance based on m6A-related genes need to pay more attention for producing new therapeutic strategies of LC and CBLL1 may contribute to target treatment for further research. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04984-5.
Collapse
Affiliation(s)
- Yang Yang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China
| | - Zhouyao Qian
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mingyang Feng
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China
| | - Weiting Liao
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China
| | - Qiuji Wu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China
| | - Feng Wen
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China
| | - Qiu Li
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China. .,West China Biomedical Big Data Center, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan, China.
| |
Collapse
|
23
|
Callemeyn J, Lamarthée B, Koenig A, Koshy P, Thaunat O, Naesens M. Allorecognition and the spectrum of kidney transplant rejection. Kidney Int 2021; 101:692-710. [PMID: 34915041 DOI: 10.1016/j.kint.2021.11.029] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 10/05/2021] [Accepted: 11/08/2021] [Indexed: 12/18/2022]
Abstract
Detection of mismatched human leukocyte antigens by adaptive immune cells is considered as the main cause of transplant rejection, leading to either T-cell mediated rejection or antibody-mediated rejection. This canonical view guided the successful development of immunosuppressive therapies and shaped the diagnostic Banff classification for kidney transplant rejection that is used in clinics worldwide. However, several observations have recently emerged that question this dichotomization between T-cell mediated rejection and antibody-mediated rejection, related to heterogeneity in the serology, histology, and prognosis of the rejection phenotypes. In parallel, novel insights were obtained concerning the dynamics of donor-specific anti-human leukocyte antigen antibodies, the immunogenicity of donor-recipient non-human leukocyte antigen mismatches, and the autoreactivity against self-antigens. Moreover, the potential of innate allorecognition was uncovered, as exemplified by natural killer cell-mediated microvascular inflammation through missing self, and by the emerging evidence on monocyte-driven allorecognition. In this review, we highlight the gaps in the current classification of rejection, provide an overview of the expanding insights into the mechanisms of allorecognition, and critically appraise how these could improve our understanding and clinical approach to kidney transplant rejection. We argue that consideration of the complex interplay of various allorecognition mechanisms can foster a more integrated view of kidney transplant rejection and can lead to improved risk stratification, targeted therapies, and better outcome after kidney transplantation.
Collapse
Affiliation(s)
- Jasper Callemeyn
- 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
| | - Baptiste Lamarthée
- Nephrology and Renal Transplantation Research Group, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium; Necker-Enfants Malades Institute, French National Institute of Health and Medical Research (INSERM) Unit 1151, Paris, France
| | - Alice Koenig
- CIRI, INSERM U1111, Université Claude Bernard Lyon I, CNRS UMR5308, Ecole Normale Supérieure de Lyon, University Lyon, Lyon, France; Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France; Lyon-Est Medical Faculty, Claude Bernard University (Lyon 1), Lyon, France
| | - Priyanka Koshy
- Department of Morphology and Molecular Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Olivier Thaunat
- CIRI, INSERM U1111, Université Claude Bernard Lyon I, CNRS UMR5308, Ecole Normale Supérieure de Lyon, University Lyon, Lyon, France; Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France; Lyon-Est Medical Faculty, Claude Bernard University (Lyon 1), Lyon, France
| | - 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.
| |
Collapse
|
24
|
Madill-Thomsen KS, Böhmig GA, Bromberg J, Einecke G, Eskandary F, Gupta G, Hidalgo LG, Myslak M, Viklicky O, Perkowska-Ptasinska A, Halloran PF. Donor-Specific Antibody Is Associated with Increased Expression of Rejection Transcripts in Renal Transplant Biopsies Classified as No Rejection. J Am Soc Nephrol 2021; 32:2743-2758. [PMID: 34253587 PMCID: PMC8806080 DOI: 10.1681/asn.2021040433] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/20/2021] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Donor -specific HLA antibody (DSA) is present in many kidney transplant patients whose biopsies are classified as no rejection (NR). We explored whether in some NR kidneys DSA has subtle effects not currently being recognized. METHODS We used microarrays to examine the relationship between standard-of-care DSA and rejection-related transcript increases in 1679 kidney transplant indication biopsies in the INTERCOMEX study (ClinicalTrials.gov NCT01299168), focusing on biopsies classified as NR by automatically assigned archetypal clustering. DSA testing results were available for 835 NR biopsies and were positive in 271 (32%). RESULTS DSA positivity in NR biopsies was associated with mildly increased expression of antibody-mediated rejection (ABMR)-related transcripts, particularly IFNG-inducible and NK cell transcripts. We developed a machine learning DSA probability (DSAProb) classifier based on transcript expression in biopsies from DSA-positive versus DSA-negative patients, assigning scores using 10-fold cross-validation. This DSAProb classifier was very similar to a previously described "ABMR probability" classifier trained on histologic ABMR in transcript associations and prediction of molecular or histologic ABMR. Plotting the biopsies using Uniform Manifold Approximation and Projection revealed a gradient of increasing molecular ABMR-like transcript expression in NR biopsies, associated with increased DSA (P<2 × 10-16). In biopsies with no molecular or histologic rejection, increased DSAProb or ABMR probability scores were associated with increased risk of kidney failure over 3 years. CONCLUSIONS Many biopsies currently considered to have no molecular or histologic rejection have mild increases in expression of ABMR-related transcripts, associated with increasing frequency of DSA. Thus, mild molecular ABMR-related pathology is more common than previously realized.
Collapse
Affiliation(s)
| | - Georg A. Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Jonathan Bromberg
- Departments of Surgery and Microbiology and Immunology, University of Maryland, Baltimore, Maryland
| | - Gunilla Einecke
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Farsad Eskandary
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Gaurav Gupta
- Division of Nephrology, Virginia Commonwealth University, Richmond, Virginia
| | - Luis G. Hidalgo
- Department of Surgery, University of Wisconsin, Madison, Wisconsin
| | - Marek Myslak
- Pomeranian Medical University, Department of Clinical Interventions and Department of Nephrology and Kidney Transplantation, Samodzielny Publiczny Wojewodzki Szpital Zespolony, Szczecin, Poland
| | - Ondrej Viklicky
- Department of Nephrology and Transplant Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | | | - Philip F. Halloran
- Alberta Transplant Applied Genomics Centre, Edmonton, Alberta, Canada,Department of Medicine, Division of Nephrology and Transplant Immunology, University of Alberta, Edmonton, Alberta, Canada
| | | |
Collapse
|
25
|
Vaulet T, Thaunat O, Naesens M. Authors' Reply. J Am Soc Nephrol 2021; 32:2388-2389. [PMID: 34403356 PMCID: PMC8729847 DOI: 10.1681/asn.2021060796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 06/17/2021] [Indexed: 02/04/2023] Open
Affiliation(s)
- Thibaut Vaulet
- ESAT Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Olivier Thaunat
- Institut National de la Santé et de la Recherche Médicale (INSERM; French National Institutes of Health and Medical Research) Unit 1111, Lyon, France,Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon, France
| | - Maarten Naesens
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium,Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| |
Collapse
|
26
|
Matas AJ, Mannon RB, Rush D, Helgeson E. Novel Phenotypes for Acute Kidney Transplant Rejection Using Semi-Supervised Clustering. J Am Soc Nephrol 2021; 32:2387-2388. [PMID: 34403355 PMCID: PMC8729828 DOI: 10.1681/asn.2021040572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/28/2021] [Accepted: 06/01/2021] [Indexed: 02/04/2023] Open
Affiliation(s)
- Arthur J. Matas
- Transplantation Division, Department of Surgery, University of Minnesota, Minneapolis, Minnesota
| | - Roslyn B. Mannon
- University of Nebraska Medical Center and Nebraska–Western Iowa Veterans Affairs Medical Center, Omaha, Nebraska
| | - David Rush
- Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Erika Helgeson
- Biostatistics Division, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| |
Collapse
|
27
|
Vasquez-Rios G, Menon MC. Kidney Transplant Rejection Clusters and Graft Outcomes: Revisiting Banff in the Era of "Big Data". J Am Soc Nephrol 2021; 32:1009-1011. [PMID: 33824191 PMCID: PMC8259687 DOI: 10.1681/asn.2021030348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- George Vasquez-Rios
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Madhav C. Menon
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York,Division of Nephrology, Yale University School of Medicine, New Haven, Connecticut
| |
Collapse
|