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Featured researches published by Yann Le Meur.


Pharmacogenetics and Genomics | 2008

CYP3A5 genotype is not associated with a higher risk of acute rejection in tacrolimus-treated renal transplant recipients

Dennis A. Hesselink; Ron H.N. van Schaik; Madelon van Agteren; Johannes W. de Fijter; Anders Hartmann; Martin Zeier; Klemens Budde; Dirk Kuypers; Przemyslav Pisarski; Yann Le Meur; Richard D. Mamelok; Teun van Gelder

Objective Patients expressing the tacrolimus-metabolizing enzyme, cytochrome P450 (CYP) 3A5, require more tacrolimus to reach target concentrations. We studied the influence of the CYP3A5*3 allele, which results in the absence of CYP3A5 protein, on tacrolimus dose and exposure, as well as the incidence of biopsy-proven acute rejection (BPAR) after renal transplantation. Methods A total of 136 patients participating in a prospective, randomized-controlled clinical trial with the primary aim of comparing the efficacy of a fixed-dose versus a concentration-controlled mycophenolate mofetil immunosuppressive regimen, were genotyped for CYP3A5*3. The patients described herein, participated in a pharmacogenetic substudy and were all treated with mycophenolate mofetil, corticosteroids and tacrolimus. Tacrolimus predose concentrations (C0) were measured on day 3 and 10, and month 1, 3, 6 and 12. Results Compared with CYP3A5*3/*3 individuals (n=110), patients carrying at least one CYP3A5*1 (wild-type) allele (CYP3A5 expressers; n=26) had a lower tacrolimus C0 on day 3 only (16.6 versus 12.3 ng/ml, respectively), whereas dose-corrected tacrolimus C0 were significantly lower in the latter group at all time points. After day 3, the overall daily tacrolimus dose was 68% higher in CYP3A5 expressers (P<0.001). The incidence of BPAR was comparable between CYP3A5 expressers and nonexpressers (8 versus 16%, respectively; P=0.36). Conclusion We conclude that patients expressing CYP3A5 need more tacrolimus to reach target concentrations and have a lower tacrolimus exposure shortly after transplantation. This delay in reaching target concentrations, however, did not result in an increased incidence of early BPAR and therefore, genotyping for CYP3A5 is unlikely to improve short-term transplantation outcome.


Clinical Pharmacokinectics | 2004

Population Pharmacokinetics and Bayesian Estimation of Mycophenolic Acid Concentrations in Stable Renal Transplant Patients

Chantal Le Guellec; Hélène Bourgoin; M. Buchler; Yann Le Meur; Yvon Lebranchu; Pierre Marquet; Gilles Paintaud

AbstractBackground: Therapeutic drug monitoring of mycophenolic acid (MPA) may minimise the risk of acute rejection after transplantation. Area under the curve (AUC) rather than trough concentration-based monitoring is recommended and models for AUC estimation are needed. Objective: To develop a population pharmacokinetic model suitable for Bayesian estimation of individual AUC in stable renal transplant patients. Patients and methods: The population pharmacokinetics of MPA were studied using nonlinear mixed effects modelling (NONMEM) in 60 patients (index group) receiving MPA on a twice-daily basis. Ten blood samples were collected at fixed timepoints from ten patients and four blood samples were collected at sparse timepoints from 50 patients. Bayesian estimation of individual AUC was made on the basis of three blood concentration measurements and covariates. The predictive performances of the Bayesian procedure were evaluated in an independent group of patients (test group) comprising ten subjects in whom ten blood samples were collected at fixed timepoints. Results: A two-compartment model with zero-order absorption best fitted the data. Covariate analysis showed that bodyweight was positively correlated with oral clearance. However, the weak magnitude of the reduction in variability (from 34.8 to 28.2%) indicates that administration on a per kilogram basis would be of limited value in decreasing interindividual variability in MPA exposure. Bayesian estimation of pharmacokinetic parameters using samples drawn at 20 minutes and 1 and 3 hours enabled estimation of individual AUC with satisfactory accuracy (bias 7.7%, range of prediction errors 0.43–15.1%) and precision (root mean squared error 12.4%) as compared with the reference value obtained using the trapezoidal method. Results: This paper reports for the first time population pharmacokinetic data for MPA in stable renal transplant patients, and shows that Bayesian estimation can allow accurate prediction of AUC with only three samples. This method provides a tool for therapeutic drug monitoring of MPA or for concentration-effect studies. Its application to MPA monitoring in the early period post-transplantation needs to be evaluated.


Clinical Pharmacokinectics | 2002

Maximum A Posteriori Bayesian Estimation of Oral Cyclosporin Pharmacokinetics in Patients with Stable Renal Transplants

Frédéric Léger; Jean Debord; Yann Le Meur; Annick Rousseau; Mathias Büchler; Gilles Paintaud; Pierre Marquet

ObjectiveTo develop a maximum a posteriori probability (MAP) Bayesian estimator for the pharmacokinetics of oral cyclosporin, based on only three timepoints, and evaluate its performance with respect to a full-profile nonlinear regression approach.Patients20 adult patients with stable renal transplants given orally administered microemulsified cyclosporin and mycophenolate.MethodsCyclosporin was assayed by liquid chromatography-mass spectrometry Nonlinear regression and MAP Bayesian estimation were performed using a home-made program and a previously designed pharmacokinetic model including an S-shaped absorption profile described by a gamma distribution.Outcome measures and resultsMAP Bayesian estimation using the best limited sampling strategy (before administration, and 1 and 3 hours after administration) was compared with nonlinear regression (taken as the reference method) for the prediction of the different pharmacokinetic parameters and exposure indices. Median relative prediction error was −0.49 and −3.42% for area under the concentration-time curve over the administration interval of 12 hours (AUC12) and estimated peak drug concentration (Cmax), respectively (nonsignificant). Relative precision was 2.00 and 4.32%, and correlation coefficient (r) was 0.985 and 0.955, for AUC12 and Cmax, respectively.ConclusionThis paper reports preliminary results in a stable renal transplant patient population, showing that MAP Bayesian estimation can allow accurate prediction of AUC12 and Cmax with only three samples (0, 1 and 3 hours). Although these results require confirmation by further studies in other clinical settings, using other drug combinations, other analytical methods and commercially available pharmacokinetic software, the method seems promising as a tool for the therapeutic drug monitoring of cyclosporin in clinical practice or for exposure-controlled studies.


Clinical Pharmacokinectics | 2006

Sirolimus Population Pharmacokinetic/Pharmacogenetic Analysis and Bayesian Modelling in Kidney Transplant Recipients

Nassim Djebli; Annick Rousseau; Guillaume Hoizey; Jean-Philippe Rerolle; Olivier Toupance; Yann Le Meur; Pierre Marquet

AbstractObjectives: The objectives of the present study were: (i) to analyse the population pharmacokinetics of sirolimus in renal transplant recipients co-administered mycophenolate mofetil, but no calcineurin inhibitor over the first 3 months post-transplantation and study the influence of different potential covariates, including genetic polymorphisms of cytochrome P450 (CYP) metabolic enzymes and active transporters, on pharmacokinetic parameters; and (ii) to develop a Bayesian estimator able to reliably estimate the individual pharmacokinetic parameters and exposure indices in this population. Methods: Twenty-two adult renal transplant patients treated with sirolimus participated in this study. Ninety concentration-time profiles (938 sirolimus whole blood samples) were collected at days 7 and 14, and months 1 and 3 post-transplantation. The population pharmacokinetic study was conducted using the nonlinear mixed effects model software, NONMEM, and validated using both the bootstrap and the cross-validation approaches. Finally, a Bayesian estimator based on a limited sampling strategy was built using the post hoc option. Results: A two-compartment open model with first-order elimination and Erlang’s distribution (to describe the absorption phase) best fitted the data. The mean pharmacokinetic parameter estimates were 5.25 h′1, 218L and 292L for the transfer rate constant, the apparent volume of the central and peripheral compartments, respectively. The CYP3A5*1/*3 polymorphism significantly influenced the apparent oral clearance: mean oral clearance = 14.1 L/h for CYP3A5 non expressers (CYP3A5*3/*3 genotype) versus 28.3 L/h for CYP3A5 expressers (CYP3A5 *l/*3 and *1/*1 genotypes). The standard errors of all the parameter estimates were <15%. Maximum a posteriori Bayesian forecasting allowed accurate prediction of sirolimus area under the concentration-time curve from 0 to 24 hours using a combination of only three sampling times (0, 1 and 3 hours post-dose), with a non-significant bias of−2.1% (range −22.2% to +25.9%), and a good precision (root mean square error = 10.3%). This combination is also easy to implement in clinical practice. Conclusion: This study presents an accurate population pharmacokinetic model showing the significant influence of the CYP3A5*1/*3 polymorphism on sirolimus apparent oral clearance, and a Bayesian estimator accurately predicting sirolimus pharmacokinetics in patients co-administered mycophenolate mofetil, but no calcineurin inhibitor.


American Journal of Transplantation | 2004

Successful Renal Retransplantation after Post‐Transplant Lymphoproliferative Disease

Alexandre Karras; Eric Thervet; Yann Le Meur; Valerie Baudet-Bonneville; Michèle Kessler; Christophe Legendre

Post‐transplant lymphoproliferative disease (PTLD) is a rare but severe complication of renal transplantation. Reduction of immunosuppression is essential for controlling PTLD but may induce graft loss. Retransplantation after PTLD is considered dangerous, because immunosuppressive treatment resumption may trigger hematological relapse. We retrospectively report six patients (five adults, one child) who underwent a second renal transplantation after successfully treated PTLD.


Therapeutic Drug Monitoring | 2008

AcylMPAG Plasma Concentrations and Mycophenolic Acid-Related Side Effects in Patients Undergoing Renal Transplantation Are Not Related to the UGT2B7-840G>A Gene Polymorphism

Madelon van Agteren; Victor W. Armstrong; Ron H.N. van Schaik; Hans de Fijter; Anders Hartmann; Martin Zeier; Klemens Budde; Dirk Kuypers; Przemyslav Pisarski; Yann Le Meur; Marloes van der Werf; Richard D. Mamelok; Michael Oellerich; Teun van Gelder

Mycophenolic acid (MPA) is metabolized primarily by glucuronidation to form the biologically inactive 7-O-glucuronide conjugate (MPAG), which is the major urinary excretion product. MPA is also converted to acyl-glucuronide metabolite (AcylMPAG), which has been suggested to be involved in the generation of MPA-related adverse events such as diarrhea or leucopenia. This conversion of MPA to AcylMPAG is catalyzed by UDP-glucuronosyltransferase 2B7 (UGT2B7). We studied the impact of the −840G>A polymorphisms in the UGT2B7 gene on the pharmacokinetics of AcylMPAG. We also investigated whether the plasma concentrations of AcylMPAG are correlated with MPA-related toxicity to further evaluate its potential clinical significance. In a randomized, controlled trial, comparing fixed-dose mycophenolate mofetil (MMF) with concentration-controlled MMF therapy, patients undergoing renal transplantation were treated with a calcineurin inhibitor, MMF, and corticosteroids. Informed consent was obtained from 332 patients for genotyping. In all patients, blood samples were drawn (three samples within the first 2 hours after administration) on Day 3, Day 10, Week 4, and Months 3, 6, and 12 to measure MPA and AcylMPAG plasma concentrations. The pharmacokinetics of AcylMPAG were correlated with the −840G>A single nucleotide polymorphism (SNP) in the UGT2B7 gene. Heterozygosity for the −840G>A SNP in the UGT2B7 gene was found in 145 patients (145 of 332 [44%]) and 93 (93 of 332 [28%]) patients were homozygous for the −840G>A allele. No difference was found in the dose-normalized AcylMPAG trough (C0) levels and dose-normalized AcylMPAG areas under the concentration-time curve (AUCs) at each visit between carriers and noncarriers of the −840G>A SNP. Also, metabolic ratios, expressed as AcylMPAG/MPA and AcylMPAG/MPAG, were not related to UGT2B7 genotype. The dose-normalized AcylMPAG-C0 and AcylMPAG AUC were higher in the cyclosporine-treated group compared with the tacrolimus-treated patients at each visit. There was no difference in AcylMPAG concentrations (trough or AUC) or AcylMPAG/MPAG ratio between patients with compared with patients without diarrhea. None of the −840G>A UGT2B7 SNPs was disproportionately present among the patients with diarrhea. There was a higher incidence of diarrhea in tacrolimus-treated patients [26 of 163 (16.0%)] compared with cyclosporine-treated individuals [five of 51 (9.8%)], although AcylMPAG concentrations were lower in tacrolimus-treated patients. In this study, we have found no influence of the −840G>A UGT2B7 SNP on AcylMPAG exposure in patients undergoing renal transplantation. There also was no association between this variant genotype and the incidence of diarrhea or leucopenia, two adverse events for which a role for AcylMPAG has been suggested.


Clinical Pharmacokinectics | 2006

Patient Characteristics Influencing Ciclosporin Pharmacokinetics and Accurate Bayesian Estimation of Ciclosporin Exposure in Heart, Lung and Kidney Transplant Patients

Franck Saint-Marvoux; Pierre Marquet; Evelyne Jacqz-Aigrain; Nicole Bernard; Philippe Thiry; Yann Le Meur; Annick Rousseau

Background and objectivesPopulation pharmacokinetic studies of ciclosporin microemulsion are needed to identify the individual factors influencing ciclosporin pharmacokinetic variability in transplant patients and to design efficient tools for the accurate estimation of ciclosporin overall exposure (area under the plasma concentration-time curve from 0 to 12 hours [AUC12]). In the present retrospective study, a large database of heart, lung (with or without cystic fibrosis) and kidney (both adult and paediatric) transplant patients receiving ciclosporin microemulsion was analysed with the aims of (i) building a population pharmacokinetic model and finding the main covariates linked with ciclosporin microemulsion pharmacokinetic parameters; and (ii) developing a maximum a posteriori probability Bayesian estimator (MAP-BE) to estimate ciclosporin microemulsion pharmacokinetic parameters using a limited-sampling strategy.Methods3072 concentration data from 147 patients (i.e. 309 full pharmacokinetic profiles) were analysed using the nonlinear mixed-effects model program NONMEM. The influence of numerous covariates was tested, and the final model was validated by data splitting. For Bayesian estimation, the best limited-sampling strategy was determined based on the D-optimality criterion, and validation performed in an independent group of 60 patients.ResultsThe pharmacokinetics of ciclosporin microemulsion were accurately described by a two-compartment model with Erlang distribution for the absorption process. The type of graft and post-transplantation period were identified as significant sources of variability of the absorption parameter. Both apparent volume of the central compartment after oral administration (V1/F) and apparent oral clearance (CL/F) increased with bodyweight. The best limited-sampling strategy for Bayesian estimation was 0 hour, 1 hour and 3 hour post-dose, providing accurate estimation of ciclosporin microemulsion AUC12 in all patients of the test group, with a mean bias of 2.0 ± 10.5% (range: −19.1% to −21.4% and 95% CI −0.6, +4.7).ConclusionPopulation pharmacokinetic analysis of ciclosporin microemulsion in allograft transplants resulted in the design of a new pharmacokinetic model for ciclosporin microemulsion, identification of significant covariates and the design of an accurate MAP-BE based on three blood concentrations and these covariates.


Clinical Pharmacology & Therapeutics | 2005

Higher exposure to mycophenolic acid with sirolimus than with cyclosporine cotreatment

M. Buchler; Yvon Lebranchu; Maud Bénéton; Yann Le Meur; Anne Elisabeth Heng; Pierre François Westeel; Chantal Le Guellec; Frédéric Libert; Lionel Hary; Pierre Marquet; Gilles Paintaud

Therapeutic drug monitoring of mycophenolate mofetil is recommended because of the interindividual variability in the exposition to its active moiety, mycophenolic acid. However, most of the pharmacokinetic studies involved patients cotreated with cyclosporine (INN, ciclosporin).


Clinical Chemistry | 2003

Influence of Sampling-Time Error on Cyclosporine Measurements Nominally at 2 Hours after Administration

Franck Saint-Marcoux; Annick Rousseau; Yann Le Meur; Marc Estenne; Christiane Knoop; Jean Debord; Pierre Marquet

Cyclosporine (CsA) blood concentrations measured 2 h after Neoral® administration ( c 2) are a sensitive predictor of clinical outcome in organ transplantation, as suggested by a recent prospective clinical trial in liver transplant patients (1). c 2 is now recommended as the target exposure index for the therapeutic drug monitoring (TDM) of CsA (2)(3)(4)(5)(6)(7)(8). The aim of this study was to investigate, for different types of grafts, the concentration–time relationships around c 2 to evaluate the concentration error as a function of the sampling-time error and to identify the sampling-time range compatible with acceptable performance of this c 2 TDM strategy. Data obtained from three different clinical trials were studied retrospectively. Each patient gave written informed consent, and each trial was approved by a local ethics committee (9)(10)(11). The three populations were as follows:


Clinical Transplantation | 2007

Renal function with delayed or immediate cyclosporine microemulsion in combination with enteric-coated mycophenolate sodium and steroids: results of follow up to 30 months post-transplant

Georges Mourad; Alexandre Karras; Nassim Kamar; Valérie Garrigue; Christophe Legendre; Nicole Lefrançois; Bernard Charpentier; Bernard Bourbigot; Claire Pouteil-Noble; François Bayle; Yvon Lebranchu; Christophe Mariat; Yann Le Meur; Michèle Kessler; Bruno Moulin; Didier Ducloux; Michel Delahousse; Philippe Lang; Pierre Merville; Kamel Chaouche-Teyara; Lionel Rostaing

Abstract:  Background:  In the multicenter, open‐label Myriade study, renal transplant patients were randomized to early cyclosporine microemulsion (CsA‐ME, day 0) or delayed CsA‐ME (day 6) with enteric‐coated mycophenolate sodium (EC‐MPS), steroids and interleukin‐2 receptor induction. One‐yr results have been published previously. We now report the results of an extension study in which patients were followed up for a period of three yr post‐transplant.

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Yvon Lebranchu

François Rabelais University

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Bruno Moulin

University of Strasbourg

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Christophe Legendre

Necker-Enfants Malades Hospital

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Eric Thervet

Paris Descartes University

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Gilles Paintaud

François Rabelais University

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M. Buchler

François Rabelais University

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Alexandre Karras

Necker-Enfants Malades Hospital

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Chantal Le Guellec

François Rabelais University

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