1
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Zhang H, Zhang D, Xu Y, Zhang H, Zhang Z, Hu X. Interferon-γ and its response are determinants of antibody-mediated rejection and clinical outcomes in patients after renal transplantation. Genes Immun 2024; 25:66-81. [PMID: 38246974 DOI: 10.1038/s41435-024-00254-x] [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] [Received: 07/28/2023] [Revised: 12/25/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024]
Abstract
Interferon-γ (IFN-γ) is an important cytokine in tissue homeostasis and immune response, while studies about it in antibody-mediated rejection (ABMR) are very limited. This study aims to comprehensively elucidate the role of IFN-γ in ABMR after renal transplantation. In six renal transplantation cohorts, the IFN-γ responses (IFNGR) biological process was consistently top up-regulated in ABMR compared to stable renal function or even T cell-mediated rejection in both allografts and peripheral blood. According to single-cell analysis, IFNGR levels were found to be broadly elevated in most cell types in allografts and peripheral blood with ABMR. In allografts with ABMR, M1 macrophages had the highest IFNGR levels and were heavily infiltrated, while kidney resident M2 macrophages were nearly absent. In peripheral blood, CD14+ monocytes had the top IFNGR level and were significantly increased in ABMR. Immunofluorescence assay showed that levels of IFN-γ and M1 macrophages were sharply elevated in allografts with ABMR than non-rejection. Importantly, the IFNGR level in allografts was identified as a strong risk factor for long-term renal graft survival. Together, this study systematically analyzed multi-omics from thirteen independent cohorts and identified IFN-γ and IFNGR as determinants of ABMR and clinical outcomes in patients after renal transplantation.
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Affiliation(s)
- Hao Zhang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - Di Zhang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - Yue Xu
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - He Zhang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Institute of Urology, Capital Medical University, Beijing, China
| | - Zijian Zhang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
- Institute of Urology, Capital Medical University, Beijing, China.
| | - Xiaopeng Hu
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
- Institute of Urology, Capital Medical University, Beijing, China.
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2
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Kardol-Hoefnagel T, Senejohnny DM, Kamburova EG, Wisse BW, Reteig L, Gruijters ML, Joosten I, Allebes WA, van der Meer A, Hilbrands LB, Baas MC, Spierings E, Hack CE, van Reekum FE, van Zuilen AD, Verhaar MC, Bots ML, Drop ACAD, Plaisier L, Melchers RCA, Seelen MAJ, Sanders JS, Hepkema BG, Lambeck AJA, Bungener LB, Roozendaal C, Tilanus MGJ, Voorter CE, Wieten L, van Duijnhoven EM, Gelens MACJ, Christiaans MHL, van Ittersum FJ, Nurmohamed SA, Lardy NM, Swelsen W, van der Pant KAMI, van der Weerd NC, Ten Berge IJM, Hoitsma A, van der Boog PJM, de Fijter JW, Betjes MGH, Roelen DL, Claas FH, Bemelman FJ, Senev A, Naesens M, Heidt S, Otten HG. Determination of the clinical relevance of donor epitope-specific HLA-antibodies in kidney transplantation. HLA 2024; 103:e15346. [PMID: 38239046 DOI: 10.1111/tan.15346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/15/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024]
Abstract
In kidney transplantation, survival rates are still partly impaired due to the deleterious effects of donor specific HLA antibodies (DSA). However, not all luminex-defined DSA appear to be clinically relevant. Further analysis of DSA recognizing polymorphic amino acid configurations, called eplets or functional epitopes, might improve the discrimination between clinically relevant vs. irrelevant HLA antibodies. To evaluate which donor epitope-specific HLA antibodies (DESAs) are clinically important in kidney graft survival, relevant and irrelevant DESAs were discerned in a Dutch cohort of 4690 patients using Kaplan-Meier analysis and tested in a cox proportional hazard (CPH) model including nonimmunological variables. Pre-transplant DESAs were detected in 439 patients (9.4%). The presence of certain clinically relevant DESAs was significantly associated with increased risk on graft loss in deceased donor transplantations (p < 0.0001). The antibodies recognized six epitopes of HLA Class I, 3 of HLA-DR, and 1 of HLA-DQ, and most antibodies were directed to HLA-B (47%). Fifty-three patients (69.7%) had DESA against one donor epitope (range 1-5). Long-term graft survival rate in patients with clinically relevant DESA was 32%, rendering DESA a superior parameter to classical DSA (60%). In the CPH model, the hazard ratio (95% CI) of clinically relevant DESAs was 2.45 (1.84-3.25) in deceased donation, and 2.22 (1.25-3.95) in living donation. In conclusion, the developed model shows the deleterious effect of clinically relevant DESAs on graft outcome which outperformed traditional DSA-based risk analysis on antigen level.
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Affiliation(s)
- Tineke Kardol-Hoefnagel
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Elena G Kamburova
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bram W Wisse
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leon Reteig
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maartje L Gruijters
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Irma Joosten
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wil A Allebes
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arnold van der Meer
- Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Marije C Baas
- Department of Nephrology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Eric Spierings
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cornelis E Hack
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Franka E van Reekum
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Arjan D van Zuilen
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marianne C Verhaar
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adriaan C A D Drop
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Loes Plaisier
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rowena C A Melchers
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc A J Seelen
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan Stephan Sanders
- Department of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Bouke G Hepkema
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Annechien J A Lambeck
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura B Bungener
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Caroline Roozendaal
- Department of Laboratory Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Marcel G J Tilanus
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Christina E Voorter
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lotte Wieten
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Elly M van Duijnhoven
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Mariëlle A C J Gelens
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maarten H L Christiaans
- Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frans J van Ittersum
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Shaikh A Nurmohamed
- Department of Nephrology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neubury M Lardy
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Wendy Swelsen
- Department of Immunogenetics, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Karlijn A M I van der Pant
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Neelke C van der Weerd
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Ineke J M Ten Berge
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Andries Hoitsma
- Dutch Organ Transplant Registry (NOTR), Dutch Transplant Foundation (NTS), Leiden, The Netherlands
| | | | - Johan W de Fijter
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel G H Betjes
- Department of Nephrology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dave L Roelen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frans H Claas
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Frederike J Bemelman
- Renal Transplant Unit, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Aleksandar Senev
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
- Histocompatibility and Immunogenetics Laboratory (HILA), Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Maarten Naesens
- KU Leuven, Department of Microbiology, Immunology and Transplantation, KU Leuven University, Leuven, Belgium
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henny G Otten
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Central Diagnostic Laboratory (CDL), University Medical Center Utrecht, Utrecht, The Netherlands
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3
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Osickova K, Hruba P, Kabrtova K, Klema J, Maluskova J, Slavcev A, Slatinska J, Marada T, Böhmig GA, Viklicky O. Predictive Potential of Flow Cytometry Crossmatching in Deceased Donor Kidney Transplant Recipients Subjected to Peritransplant Desensitization. Front Med (Lausanne) 2022; 8:780636. [PMID: 34970564 PMCID: PMC8712553 DOI: 10.3389/fmed.2021.780636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 11/15/2021] [Indexed: 11/17/2022] Open
Abstract
Recipient sensitization is a major risk factor of antibody-mediated rejection (ABMR) and inferior graft survival. The predictive effect of solid-phase human leukocyte antigen antibody testing and flow cytometry crossmatch (FCXM) in the era of peritransplant desensitization remains poorly understood. This observational retrospective single-center study with 108 donor-specific antibody (DSA)-positive deceased donor kidney allograft recipients who had undergone peritransplant desensitization aimed to analyze variables affecting graft outcome. ABMR rates were highest among patients with positive pretransplant FCXM vs. FCXM-negative (76 vs. 18.7%, p < 0.001) and with donor-specific antibody mean fluorescence intensity (DSA MFI) > 5,000 vs. <5,000 (54.5 vs. 28%, p = 0.01) despite desensitization. In univariable Cox regression, FCXM positivity, retransplantation, recipient gender, immunodominant DSA MFI, DSA number, and peak panel reactive antibodies were found to be associated with ABMR occurrence. In multivariable Cox regression adjusted for desensitization treatment (AUC = 0.810), only FCXM positivity (HR = 4.6, p = 0.001) and DSA number (HR = 1.47, p = 0.039) remained significant. In conclusion, our data suggest that pretransplant FCXM and DSA number, but not DSA MFI, are independent predictors of ABMR in patients who received peritransplant desensitization.
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Affiliation(s)
- Klara Osickova
- Department of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Petra Hruba
- Transplant Laboratory, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Katerina Kabrtova
- Department of Immunogenetics, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Jiri Klema
- Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University, Prague, Czechia
| | - Jana Maluskova
- Department of Pathology, Institute for Clinical and Experimental Medicine, Prague, Czechia.,Aesculab Pathology, Prague, Czechia
| | - Antonij Slavcev
- Department of Immunogenetics, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Janka Slatinska
- Department of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Tomas Marada
- Department of Transplant Surgery, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Georg A Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University Vienna, Vienna, Austria
| | - Ondrej Viklicky
- Department of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czechia
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4
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Navas A, Molina J, Agüera ML, Guler I, Jurado A, Rodríguez-Benot A, Alonso C, Solana R. Characterization of the C1q-Binding Ability and the IgG1-4 Subclass Profile of Preformed Anti-HLA Antibodies by Solid-Phase Assays. Front Immunol 2019; 10:1712. [PMID: 31428086 PMCID: PMC6687874 DOI: 10.3389/fimmu.2019.01712] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 07/08/2019] [Indexed: 12/11/2022] Open
Abstract
Humoral alloimmunity, particularly that triggered by preformed antibodies against human leukocyte antigens (HLA), is associated with an increased prevalence of rejection and reduced transplant survival. The high sensitivity of solid phase assays, based on microbeads coated with single antigens (SAB), consolidated them as the gold-standard method to characterize anti-HLA antibodies, ensuring a successful allograft allocation. Mean fluorescence intensity (MFI) provided by SAB is regularly used to stratify the immunological risk, assuming it as a reliable estimation of the antibody-level, but it is often limited by artifacts. Beyond MFI, other properties, such as the complement-binding ability or the IgG1-4 subclass profile have been examined to more accurately define the clinical relevance of antibodies and clarify their functional properties. However, there are still unresolved issues. Neat serum-samples from 20 highly-sensitized patients were analyzed by SAB-panIgG, SAB-IgG1-4 subclass and SAB-C1q assays. All 1:16 diluted serum-samples were additionally analyzed by SAB-panIgG and SAB-IgG1-4 subclass assays. A total of 1,285 anti-HLA antibodies were identified as positive, 473 (36.8%) of which were C1q-binding. As expected, serum-dilution enhanced the correlation between the C1q-binding ability and the antibody-strength, measured as the MFI (rneat = 0.248 vs. rdiluted = 0.817). SAB-subclass assay revealed at least one IgG1-4 subclass in 1,012 (78.8%) positive antibody-specificities. Among them, strong complement-binding subclasses, mainly IgG1, were particularly frequent (98.9%) and no differences were found between C1q- and non-C1q-binding antibodies regarding their presence (99.4 vs. 98.5%; p = 0.193). In contrast, weak or non-C1q-binding subclasses (IgG2/IgG4) were more commonly detected in C1q-binding antibodies (78.9 vs. 38.6%; p < 0.001). Interestingly, a strong association was found between the C1q-binding ability and the IgG1 strength (rIgG1dil = 0.796). Though lower, the correlation between the IgG2 strength and the C1q-binding ability was also strong (rIgG2dil = 0.758), being both subclasses closely related (rIgG1−IgG2 = 0.817). We did not find any correlation with the C1q-binding ability considering the remaining subclasses. In conclusion, we demonstrate that a particular profile of IgG subclasses (IgG1/IgG3) itself does not determine at all the ability to bind complement of anti-HLA antibodies assessed by SAB-C1q assay. It is the IgG subclass strength, mainly of IgG1, which usually appears in combination with IgG2, that best correlates with it.
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Affiliation(s)
- Ana Navas
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology and Allergy, Reina Sofia University Hospital, Cordoba, Spain
| | - Juan Molina
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology and Allergy, Reina Sofia University Hospital, Cordoba, Spain
| | - María-Luisa Agüera
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Nephrology, Reina Sofia University Hospital, Cordoba, Spain
| | - Ipek Guler
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Aurora Jurado
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology and Allergy, Reina Sofia University Hospital, Cordoba, Spain
| | - Alberto Rodríguez-Benot
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Nephrology, Reina Sofia University Hospital, Cordoba, Spain
| | - Corona Alonso
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology and Allergy, Reina Sofia University Hospital, Cordoba, Spain
| | - Rafael Solana
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology and Allergy, Reina Sofia University Hospital, Cordoba, Spain
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5
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Prognostic Value of the Persistence of C1q-Binding Anti-HLA Antibodies in Acute Antibody-Mediated Rejection in Kidney Transplantation. Transplantation 2018; 102:688-698. [PMID: 29135832 DOI: 10.1097/tp.0000000000002002] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The differential pathogenicity of anti-HLA donor-specific antibodies (DSAs) is not fully understood. The presence of complement-binding DSAs helps in better defining the prognosis of acute antibody-mediated rejection (ABMR). The evolution of these antibodies after the treatment of ABMR is unknown. METHODS We included patients from the French multicenter RITUX ERAH study diagnosed with acute ABMR within the first year of renal transplantation, with circulating anti-HLA DSAs and treated randomly by rituximab or placebo (and intravenous immunoglobulins, plasma exchange). We centrally analyzed serum samples at the time of ABMR, 3 and 6 months after ABMR, with anti-HLA DSAs specificities and C1q-binding capacity assessment. RESULTS Twenty-five patients were included: 68% had C1q-binding DSAs at the time of ABMR. The presence of C1q-binding DSAs was associated with a poorer evolution of chronic glomerulopathy at 6 months (P = 0.036). The persistence of C1q-binding DSAs at 3 and/or 6 months after ABMR was associated with more severe chronic glomerulopathy (P = 0.006), greater C4d score deposition score at 6 months after ABMR (P = 0.008), and graft loss 5 years after ABMR (P = 0.029). C1q-binding capacity was associated with the DSA MFI but 5 C1q-binding DSAs in 4 patients had low MFI values without a prozone effect. CONCLUSION The presence and persistence of anti-HLA C1q-binding DSAs after ABMR is a detrimental marker, leading to transplant glomerulopathy and graft loss. Assessment of the complement-binding capacities of DSAs could help decide treatment intensification.
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6
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Molina J, Navas A, Agüera ML, Rodelo-Haad C, Alonso C, Rodríguez-Benot A, Aljama P, Solana R. Impact of Preformed Donor-Specific Anti-Human Leukocyte Antigen Antibody C1q-Binding Ability on Kidney Allograft Outcome. Front Immunol 2017; 8:1310. [PMID: 29163462 PMCID: PMC5671504 DOI: 10.3389/fimmu.2017.01310] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 09/28/2017] [Indexed: 12/24/2022] Open
Abstract
The consolidation of single antigen beads (SAB-panIgG) assay in the detection of preformed anti-human leukocyte antigen (HLA) antibodies has improved transplantation success. However, its high sensitivity has limited the allograft allocation for sensitized patients, increasing their waiting time. A modification of the standard SAB-panIgG assay allows the detection of that subset of antibodies capable of binding C1q (SAB-C1q assay). However, the clinical usefulness of SAB-C1q assay for determining the unacceptable mismatches is under discussion. We retrospectively analyzed the impact of preformed donor-specific anti-HLA antibodies (DSA) according to the C1q-binding ability on allograft outcome, examining 389 single-kidney transplanted patients from deceased donors. Recipients with preformed C1q-binding DSA showed the lowest allograft survival up to 7 years (40.7%) compared to patients with preformed non-C1q-binding DSA (73.4%; p = 0.001) and without DSA (79.1%; p < 0.001). Allograft survival rate was similar between patients with preformed non-C1q-binding DSA and patients without preformed DSA (p = 0.403). Interestingly, among the high-mean fluorescence intensity DSA (≥10,000) population (n = 46), those patients whose DSA were further capable of binding C1q showed a poorer allograft outcome (38.4 vs. 68.9%; p = 0.041). Moreover, in our multivariate predictive model for assessing the risk of allograft loss, the presence of C1q-binding DSA (HR 4.012; CI 95% 2.326–6.919; p < 0.001) but not of non-C1q-binding DSA (HR 1.389; CI 95% 0.784–2.461; p = 0.260) remained an independent predictor after stratifying the DSA population according to the C1q-binding ability and adjusting the model for other pre-transplantation predictive factors including donor age, cold-ischemia time, and HLA-DR mismatches. In conclusion, the unacceptable mismatch definition according to the SAB-C1q assay would improve the risk stratification of allograft loss and increase the limited allograft allocation of highly sensitized patients, shortening their waiting time.
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Affiliation(s)
- Juan Molina
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ana Navas
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - María-Luisa Agüera
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Nephrology, Reina Sofia University Hospital, Cordoba, Spain
| | - Cristian Rodelo-Haad
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Corona Alonso
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Allergy and Immunology, Reina Sofia University Hospital, Cordoba, Spain
| | - Alberto Rodríguez-Benot
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Nephrology, Reina Sofia University Hospital, Cordoba, Spain
| | - Pedro Aljama
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Nephrology, Reina Sofia University Hospital, Cordoba, Spain
| | - Rafael Solana
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,Department of Immunology, Infanta Cristina University Hospital, Badajoz, Spain
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7
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Abstract
The concept that individuals with the same disease and a similar clinical presentation may have very different outcomes and need very different therapies is not novel. With the development of many innovative tools derived from the omics technologies, transplant medicine is slowly entering the era of precision medicine. Biomarkers are the cornerstone of precision medicine, which aims to integrate biomarkers with traditional clinical information and tailor medical care to achieve the best outcome for an individual patient. Here, we discuss the basic concepts of precision medicine and biomarkers, with a specific focus on progress in renal transplantation. We delineate the different types of biomarkers and provide a general assessment of the current applications and shortcomings of previously proposed biomarkers. We also outline the potential of precision medicine in transplantation. Moving toward precision medicine in the field of transplantation will require transplant physicians to embrace the increased complexity and expanded decision algorithms and therapeutic options that are associated with improved disease nosology.
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Affiliation(s)
- Maarten Naesens
- Department of Microbiology and Immunology, Laboratory of Nephrology, Katholieke Universiteit Leuven, University of Leuven, Leuven, Belgium.,Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Dany Anglicheau
- Necker-Enfants Malades Institute, French National Institutes of Health and Medical Research U1151, Paris, France; .,Paris Descartes, Sorbonne Paris Cité University, Paris, France.,Réseau Thématique de Recherche et de Soins Centaure, Paris, France.,Labex Transplantex, Paris, France; and.,Department of Nephrology and Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
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8
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Danger R, Sawitzki B, Brouard S. Immune monitoring in renal transplantation: The search for biomarkers. Eur J Immunol 2017; 46:2695-2704. [PMID: 27861809 DOI: 10.1002/eji.201545963] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 11/02/2016] [Accepted: 11/07/2016] [Indexed: 11/11/2022]
Abstract
It is now widely accepted that in order to improve long-term graft function and survival, a more personalized immunosuppressive treatment of transplant patients according to the individual anti-donor immune response status is needed. This applies to the identification of potentially "high-risk" patients likely to develop acute rejection episodes or display an accelerated decline of graft function, patients who might need immunosuppression intensification, and operationally tolerant patients suitable for immunosuppression minimization or weaning off. Such a patient stratification would benefit from biomarkers, which enable categorization into low and high risk or, ideally, identification of operational tolerant patients. Here, we report on recent developments regarding identification and performance analysis of noninvasive biomarkers such as mRNA and miRNA expression profiles, chemokines, or changes in immune cell subsets in either blood or urine of renal transplant patients. We will also discuss which future steps are needed to accelerate their clinical implementation.
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Affiliation(s)
- Richard Danger
- Inserm, , Center for Research in Transplantation and Immunology (CRTI) U1064, Nantes, France.,Université de Nantes, , UMR1064, Nantes, France.,CHU Nantes, Institut de Transplantation Urologie Néphrologie (ITUN), Nantes, France
| | - Birgit Sawitzki
- Institute of Medical Immunology, Charité University Berlin, Germany.,Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité University Berlin, Germany
| | - Sophie Brouard
- Inserm, , Center for Research in Transplantation and Immunology (CRTI) U1064, Nantes, France.,Université de Nantes, , UMR1064, Nantes, France.,CHU Nantes, Institut de Transplantation Urologie Néphrologie (ITUN), Nantes, France.,CIC Biotherapy, CHU Nantes, , 30 bd Jean-Monnet, Nantes, France
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Valenzuela NM, Reed EF. Antibody-mediated rejection across solid organ transplants: manifestations, mechanisms, and therapies. J Clin Invest 2017; 127:2492-2504. [PMID: 28604384 DOI: 10.1172/jci90597] [Citation(s) in RCA: 140] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Solid organ transplantation is a curative therapy for hundreds of thousands of patients with end-stage organ failure. However, long-term outcomes have not improved, and nearly half of transplant recipients will lose their allografts by 10 years after transplant. One of the major challenges facing clinical transplantation is antibody-mediated rejection (AMR) caused by anti-donor HLA antibodies. AMR is highly associated with graft loss, but unfortunately there are few efficacious therapies to prevent and reverse AMR. This Review describes the clinical and histological manifestations of AMR, and discusses the immunopathological mechanisms contributing to antibody-mediated allograft injury as well as current and emerging therapies.
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