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      • Record: found
      • Abstract: found
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      Is Open Access

      A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT

      research-article
      1 , 2 , 3 , 4 , 4 , 5 , 6 , 1 , 7 , 8 , 1 , 9 , 10 , 11 , 12 , 12 , 13 , 14 , 15 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 1 , , the TTVguideTX consortium partners
      Trials
      BioMed Central
      Kidney transplantation, Torque teno virus, Immunosuppression, Tacrolimus, Immunological monitoring, Personalised medicine, Infection, Graft rejection

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          Abstract

          Background

          Immunosuppression after kidney transplantation is mainly guided via plasma tacrolimus trough level, which cannot sufficiently predict allograft rejection and infection. The plasma load of the non-pathogenic and highly prevalent torque teno virus (TTV) is associated with the immunosuppression of its host. Non-interventional studies suggest the use of TTV load to predict allograft rejection and infection. The primary objective of the current trial is to demonstrate the safety, tolerability and preliminary efficacy of TTV-guided immunosuppression.

          Methods

          For this purpose, a randomised, controlled, interventional, two-arm, non-inferiority, patient- and assessor-blinded, investigator-driven phase II trial was designed. A total of 260 stable, low-immunological-risk adult recipients of a kidney graft with tacrolimus-based immunosuppression and TTV infection after month 3 post-transplantation will be recruited in 13 academic centres in six European countries. Subjects will be randomised in a 1:1 ratio (allocation concealment) to receive tacrolimus either guided by TTV load or according to the local centre standard for 9 months. The primary composite endpoint includes the occurrence of infections, biopsy-proven allograft rejection, graft loss, or death. The main secondary endpoints include estimated glomerular filtration rate, graft rejection detected by protocol biopsy at month 12 post-transplantation (including molecular microscopy), development of de novo donor-specific antibodies, health-related quality of life, and drug adherence. In parallel, a comprehensive biobank will be established including plasma, serum, urine and whole blood. The date of the first enrolment was August 2022 and the planned end is April 2025.

          Discussion

          The assessment of individual kidney transplant recipient immune function might enable clinicians to personalise immunosuppression, thereby reducing infection and rejection. Moreover, the trial might act as a proof of principle for TTV-guided immunosuppression and thus pave the way for broader clinical applications, including as guidance for immune modulators or disease-modifying agents.

          Trial registration

          EU CT-Number: 2022-500024-30-00

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13063-023-07216-0.

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          Most cited references27

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          Reduced exposure to calcineurin inhibitors in renal transplantation.

          Immunosuppressive regimens with the fewest possible toxic effects are desirable for transplant recipients. This study evaluated the efficacy and relative toxic effects of four immunosuppressive regimens. We randomly assigned 1645 renal-transplant recipients to receive standard-dose cyclosporine, mycophenolate mofetil, and corticosteroids, or daclizumab induction, mycophenolate mofetil, and corticosteroids in combination with low-dose cyclosporine, low-dose tacrolimus, or low-dose sirolimus. The primary end point was the estimated glomerular filtration rate (GFR), as calculated by the Cockcroft-Gault formula, 12 months after transplantation. Secondary end points included acute rejection and allograft survival. The mean calculated GFR was higher in patients receiving low-dose tacrolimus (65.4 ml per minute) than in the other three groups (range, 56.7 to 59.4 ml per minute). The rate of biopsy-proven acute rejection was lower in patients receiving low-dose tacrolimus (12.3%) than in those receiving standard-dose cyclosporine (25.8%), low-dose cyclosporine (24.0%), or low-dose sirolimus (37.2%). Allograft survival differed significantly among the four groups (P=0.02) and was highest in the low-dose tacrolimus group (94.2%), followed by the low-dose cyclosporine group (93.1%), the standard-dose cyclosporine group (89.3%), and the low-dose sirolimus group (89.3%). Serious adverse events were more common in the low-dose sirolimus group than in the other groups (53.2% vs. a range of 43.4 to 44.3%), although a similar proportion of patients in each group had at least one adverse event during treatment (86.3 to 90.5%). A regimen of daclizumab, mycophenolate mofetil, and corticosteroids in combination with low-dose tacrolimus may be advantageous for renal function, allograft survival, and acute rejection rates, as compared with regimens containing daclizumab induction plus either low-dose cyclosporine or low-dose sirolimus or with standard-dose cyclosporine without induction. (ClinicalTrials.gov number, NCT00231764 [ClinicalTrials.gov].). Copyright 2007 Massachusetts Medical Society.
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            Therapeutic Drug Monitoring of Tacrolimus-Personalized Therapy: Second Consensus Report

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              • Abstract: found
              • Article: not found

              Temporal response of the human virome to immunosuppression and antiviral therapy.

              There are few substantive methods to measure the health of the immune system, and the connection between immune strength and the viral component of the microbiome is poorly understood. Organ transplant recipients are treated with posttransplant therapies that combine immunosuppressive and antiviral drugs, offering a window into the effects of immune modulation on the virome. We used sequencing of cell-free DNA in plasma to investigate drug-virome interactions in a cohort of organ transplant recipients (656 samples, 96 patients) and find that antivirals and immunosuppressants strongly affect the structure of the virome in plasma. We observe marked virome compositional dynamics at the onset of the therapy and find that the total viral load increases with immunosuppression, whereas the bacterial component of the microbiome remains largely unaffected. The data provide insight into the relationship between the human virome, the state of the immune system, and the effects of pharmacological treatment and offer a potential application of the virome state to predict immunocompetence. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                frederik.haupenthal@meduniwien.ac.at
                Jette.Rahn@uniklinikum-dresden.de
                fabrizio.maggi63@gmail.com
                fanny.gelas@biomerieux.com
                philippe.bourgeois@biomerieux.com
                Christian.Hugo@uniklinikum-dresden.de
                bernd.jilma@meduniwien.ac.at
                georg.boehmig@meduniwien.ac.at
                harald.herkner@meduniwien.ac.at
                michael.wolzt@meduniwien.ac.at
                konstantin.doberer@meduniwien.ac.at
                matthias.vossen@meduniwien.ac.at
                daniele.focosi@gmail.com
                hannes.neuwirt@i-med.ac.at
                Miriam.Banas@klinik.uni-regensburg.de
                Bernhard.Banas@klinik.uni-regensburg.de
                klemens.budde@charite.de
                ondrej.viklicky@ikem.cz
                pmalvezzi@chu-grenoble.fr
                lrostaing@chu-grenoble.fr
                j.i.rotmans@lumc.nl
                s.j.l.bakker@umcg.nl
                kathrin.eller@medunigraz.at
                Daniel.Cejka@ordensklinikum.at
                albertononi@gmail.com
                dra@ugr.es
                franz.koenig@meduniwien.ac.at
                gregor.bond@meduniwien.ac.at
                Journal
                Trials
                Trials
                Trials
                BioMed Central (London )
                1745-6215
                22 March 2023
                22 March 2023
                2023
                : 24
                : 213
                Affiliations
                [1 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Division of Nephrology and Dialysis, Department of Medicine III, , Medical University of Vienna, ; Vienna, Austria
                [2 ]GRID grid.4488.0, ISNI 0000 0001 2111 7257, Coordination Center for Clinical Trials, Faculty of Medicine Carl Gustav Carus, , Technische Universität Dresden, ; Dresden, Germany
                [3 ]GRID grid.419423.9, ISNI 0000 0004 1760 4142, Laboratory of Virology, National Institute for Infectious Diseases L. Spallanzani, ; Rome, Italy
                [4 ]bioMérieux SA, Centre Christophe Merieux, Grenoble, France
                [5 ]GRID grid.412282.f, ISNI 0000 0001 1091 2917, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, ; Dresden, Germany
                [6 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Clinical Pharmacology, , Medical University of Vienna, ; Vienna, Austria
                [7 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Emergency Medicine, , Medical University of Vienna, ; Vienna, Austria
                [8 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Clinical Trials Coordination Centre, , Medical University of Vienna, ; Vienna, Austria
                [9 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Division of Infectious diseases and Tropical Medicine, Department of Medicine I, , Medical University of Vienna, ; Vienna, Austria
                [10 ]North-Western Tuscany Blood Bank, Pisa, Italy
                [11 ]GRID grid.5361.1, ISNI 0000 0000 8853 2677, Department of Internal Medicine IV, Nephrology and Hypertension, , Medical University Innsbruck, ; Innsbruck, Austria
                [12 ]GRID grid.411941.8, ISNI 0000 0000 9194 7179, Department of Nephrology, , University Hospital Regensburg, ; Regensburg, Germany
                [13 ]GRID grid.6363.0, ISNI 0000 0001 2218 4662, Charité – Universitätsmedizin Berlin, ; Berlin, Germany
                [14 ]GRID grid.418930.7, ISNI 0000 0001 2299 1368, Transplant Center, Department of Nephrology, Institute for Clinical and Experimental Medicine, ; Prague, Czech Republic
                [15 ]GRID grid.410529.b, ISNI 0000 0001 0792 4829, Department of Nephrology, Hemodialysis, Apheresis and Kidney Transplantation, , CHU-Grenoble-Alpes, ; Grenoble, France
                [16 ]GRID grid.10419.3d, ISNI 0000000089452978, Department of Internal Medicine, , Leiden University Medical Center, ; Leiden, The Netherlands
                [17 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, Division of Nephrology, Department of Internal Medicine, , University Medical Center Groningen, University of Groningen, ; Groningen, The Netherlands
                [18 ]GRID grid.11598.34, ISNI 0000 0000 8988 2476, Division of Nephrology, Department of Internal Medicine, , Medical University of Graz, ; Graz, Austria
                [19 ]Ordensklinikum Linz GmbH Elisabethinen, Linz, Austria
                [20 ]GRID grid.4711.3, ISNI 0000 0001 2183 4846, Institute for Advanced Social Studies, Spanish National Research Council, ; Madrid, Spain
                [21 ]GRID grid.4489.1, ISNI 0000000121678994, Department of Philosophy I, , FiloLab-UGR, University of Granada, ; Granada, Spain
                [22 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Center for Medical Statistics, Informatics and Intelligent Systems, , Medical University of Vienna, ; Vienna, Austria
                Author information
                http://orcid.org/0000-0003-0440-3053
                Article
                7216
                10.1186/s13063-023-07216-0
                10032258
                36949445
                f65cf9fc-ce0d-4e77-8f91-79a2cec9a4c5
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 December 2022
                : 2 March 2023
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2023

                Medicine
                kidney transplantation,torque teno virus,immunosuppression,tacrolimus,immunological monitoring,personalised medicine,infection,graft rejection

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