Jean‐Baptiste Woillard

ORCID: 0000-0003-1695-0695
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About
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Research Areas
  • Renal Transplantation Outcomes and Treatments
  • Pharmacological Effects and Toxicity Studies
  • Antibiotics Pharmacokinetics and Efficacy
  • Organ Transplantation Techniques and Outcomes
  • Drug Transport and Resistance Mechanisms
  • HIV/AIDS drug development and treatment
  • Cytomegalovirus and herpesvirus research
  • Statistical Methods in Clinical Trials
  • Renal Diseases and Glomerulopathies
  • Pharmacogenetics and Drug Metabolism
  • Transplantation: Methods and Outcomes
  • Chronic Lymphocytic Leukemia Research
  • HIV Research and Treatment
  • Herpesvirus Infections and Treatments
  • Acute Lymphoblastic Leukemia research
  • Neurological Complications and Syndromes
  • Systemic Lupus Erythematosus Research
  • Liver Disease and Transplantation
  • Pregnancy and Medication Impact
  • HIV/AIDS Research and Interventions
  • Antimicrobial Resistance in Staphylococcus
  • Biochemical and Molecular Research
  • Vascular Malformations Diagnosis and Treatment
  • Hematopoietic Stem Cell Transplantation
  • Cystic Fibrosis Research Advances

Université de Limoges
2016-2025

Inserm
2016-2025

Centre Hospitalier Universitaire de Limoges
2016-2025

Hôpital Dupuytren
2013-2024

Hôpital Universitaire Dupuytren
2021-2023

Fédération Hospitalo-Universitaire, Paris Center for Microbiome Medicine
2018-2023

Institute for Public Policy Research
2020

Hôpital Paul-Brousse
2016

Assistance Publique – Hôpitaux de Paris
2016

Development Fund
2016

The goal of this study was to determine the roles organic anion–transporting polypeptides (OATPs) OATP1A2, OATP1B1, and OATP1B3 their genetic variants in pharmacokinetics immunosuppressive drug mycophenolate mofetil (MMF). Using OATP-transfected human embryonic kidney (HEK) cells, we measured uptake mycophenolic acid (MPA) its glucuronide (MPAG). MPAG, but not MPA, significantly accumulated cells expressing or OATP1B1 (P < 0.05). both MPA MPAG were influenced by polymorphism 334T>G/699G>A 70...

10.1038/clpt.2009.205 article EN Clinical Pharmacology & Therapeutics 2009-11-04

<h3>Importance</h3> Sirolimus is increasingly being used to treat various vascular anomalies, although evidence of its efficacy lacking. <h3>Objective</h3> To assess the and safety sirolimus for children with slow-flow malformations better delineate indications treatment. <h3>Design, Setting Participants</h3> This multicenter, open-label, observational-phase randomized clinical trial included 59 aged 6 18 years a malformation who were recruited between September 28, 2015, March 22, 2018, in...

10.1001/jamadermatol.2021.3459 article EN JAMA Dermatology 2021-09-15

The aim of this work is to estimate the area‐under blood concentration curve tacrolimus (TAC) following b.i.d. or q.d. dosing in organ transplant patients, using Xgboost machine learning (ML) models. A total 4,997 and 1,452 TAC interdose area under curves (AUCs) from patients on TAC, sent our Immunosuppressant Bayesian Dose Adjustment expert system ( www.pharmaco.chu‐limoges.fr/ ) for AUC estimation dose recommendation based concentrations measured at least 3 sampling times (predose, ~ 1...

10.1002/cpt.2123 article EN Clinical Pharmacology & Therapeutics 2020-11-30

To investigate the differences in pharmacokinetics of Prograf and prolonged release formulation Advagraf to develop a Bayesian estimator estimate tacrolimus inter-dose area under curve (AUC) renal transplant patients receiving either or Advagraf.Tacrolimus concentration-time profiles were collected, adult recipients, at weeks 1 2, months 1, 3 6 post-transplantation from 32 treated patients, one profile was collected 41 more than 12 post-transplantation. Population pharmacokinetic (popPK)...

10.1111/j.1365-2125.2010.03837.x article EN British Journal of Clinical Pharmacology 2010-10-29

ABSTRACT Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect relationships have been shown. Machine learning (ML) algorithms, developed to predict the individual exposure drugs, shown very good performances in comparison maximum posteriori Bayesian estimation (MAP-BE). The aim of this work was area under blood concentration curve (AUC) daptomycin from two samples and few covariates using XGBoost ML algorithm trained on Monte Carlo simulations. Five...

10.1128/aac.01415-23 article EN Antimicrobial Agents and Chemotherapy 2024-03-19

Cyclosporin A (CsA) is a substrate for cytochrome P450 3A and the efflux transporter P-glycoprotein (P-gp; ABCB1), both abundantly expressed in kidney. In long-term follow-up of cohort patients who had received kidney transplants between years 1990 2005, we retrospectively investigated effect CYP3A4, CYP3A5, ABCB1 polymorphisms graft donors on recipients' renal function risk subsequent loss. DNA samples from 227 clinical data 259 respective recipients were analyzed. Graft loss was...

10.1038/clpt.2010.62 article EN Clinical Pharmacology & Therapeutics 2010-05-26

Since 2007, a number of transplantation centers have been routinely using an expert system for tacrolimus (TAC) dose adjustment in kidney allograft recipients, based on PK modeling and Bayesian estimation area-under-the-curve (AUC) determination. This has allowed the setting up large database TAC pharmacokinetic profiles AUC values, part which was analyzed here.We retrospectively studied 2030 requests posted by 21 different routine 1000 adult renal transplant patients (not enrolled any kind...

10.1097/ftd.0b013e318285e779 article EN Therapeutic Drug Monitoring 2013-05-10

Tacrolimus (Tac) is a profoundly effective immunosuppressant that reduces the risk of rejection after solid organ transplantation. However, its use hampered by narrow therapeutic window along with highly variable pharmacological (pharmacokinetic [PK] and pharmacodynamic [PD]) profile. Part this variability explained genetic polymorphisms affecting metabolic pathway. The integration CYP3A4 CY3A5 genotype in tacrolimus population-based PK (PopPK) modeling approaches has been proven to...

10.3389/fphar.2017.00358 article EN cc-by Frontiers in Pharmacology 2017-06-08

Therapeutic drug monitoring of mycophenolic acid (MPA) based on area under the curve (AUC) is well‐established and machine learning (ML) approaches could help to estimate AUC. The aim this work AUC MPA in organ transplant patients using extreme gradient boosting (Xgboost R package) ML models. A total 12,877 from 0 12 hours (AUC 0–12 h ) requests 6,884 sent our Immunosuppressant Bayesian Dose Adjustment expert system ( https://abis.chu‐limoges.fr for estimation dose recommendation...

10.1002/cpt.2216 article EN Clinical Pharmacology & Therapeutics 2021-02-24

Background Type I and II inosine monophosphate dehydrogenases (IMPDH) are the targets of mycophenolic acid (MPA), a widely used immunosuppressant. The aims this study were: to check presence controversial polymorphisms in IMPDH gene; look for new ones; investigate potential associations between most frequent SNPs both genes clinical outcome renal transplant recipients. Methods DNA data 456 patients from two trials were collected. We sequenced gene 80 we genotyped patients' rs4974081,...

10.1097/fpc.0b013e32833d8cf5 article EN Pharmacogenetics and Genomics 2010-08-07

The use of mycophenolate mofetil (MMF) in children with systemic lupus erythematosus (SLE) is increasing. However, the clinical benefit its monitoring has been scarcely studied, and little known about pharmacokinetics this context. objectives present study were: (i) to describe mycophenolic acid (MPA, active moiety MMF) pharmacokinetics, (ii) develop a Bayesian estimator (BE) allowing determination AUC (area under curve) from limited number blood samples (iii) explore relationships between...

10.1111/bcp.12392 article EN British Journal of Clinical Pharmacology 2014-04-03
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