Literature DB >> 25416736

Choosing the right dose of tacrolimus.

Pauline Lancia1, Evelyne Jacqz-Aigrain2, Wei Zhao3.   

Abstract

Choosing the right dose of tacrolimus 'adapted to each individual patient' is a central question after transplantation. The pharmacokinetic behaviour of tacrolimus in paediatric patients is significantly influenced by clinical factors growth and maturation, as well as genetic factors. Large interindividual variability and narrow therapeutic index make dosage individualisation mandatory in children. CYP3A5 expressers require a 1.8-fold higher tacrolimus dose than non-expressers. A visual patient-tailored dosing chart, taking into consideration the child's weight, recent haematocrit level and CYP3A5 genotype, was developed based on a population pharmacokinetic-pharmacogenetic model, and can be used routinely to individualise tacrolimus starting dose. Area under the concentration-time curve-based dosage adaptation through limited sampling strategy and Bayesian estimation is more reliable than trough concentration. Therapeutic drug monitoring and dosage adaptation can be included in routine post-transplantation consultation and should be considered in the urgent situations (eg, rejection, adverse event, lack of compliance, change of coadministration drug with potential drug-drug interaction and other situations). Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2014        PMID: 25416736     DOI: 10.1136/archdischild-2013-305888

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  11 in total

1.  Donor CYP3A5 genotype influences tacrolimus disposition on the first day after paediatric liver transplantation.

Authors:  Pier Luigi Calvo; Loredana Serpe; Andrea Brunati; Antonello Nonnato; Daniela Bongioanni; Dominic Dell' Olio; Michele Pinon; Carlo Ferretti; Francesco Tandoi; Giulia Carbonaro; Mauro Salizzoni; Antonio Amoroso; Renato Romagnoli; Roberto Canaparo
Journal:  Br J Clin Pharmacol       Date:  2017-01-31       Impact factor: 4.335

Review 2.  Effects of CYP3A5 polymorphisms on tacrolimus pharmacokinetics in pediatric kidney transplantation: a systematic review and meta-analysis of observational studies.

Authors:  Yi-Ping Zong; Zi-Jie Wang; Wan-Li Zhou; Wei-Min Zhou; Tie-Liang Ma; Zheng-Kai Huang; Chun-Chun Zhao; Zhen Xu; Ruo-Yun Tan; Min Gu
Journal:  World J Pediatr       Date:  2017-05-24       Impact factor: 2.764

3.  [Correlation of blood concentration of tacrolimus with serum cystatin C in renal transplant recipients and effect of tacrolimus on glucose and lipid metabolism].

Authors:  Zhen-Bang Zhong; Li-Qian Mo; Yan Chen; Ping Zheng; Xi-Xiao Yang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-06-20

Review 4.  Off-label use of tacrolimus in children with glomerular disease: Effectiveness, safety and pharmacokinetics.

Authors:  Guo-Xiang Hao; Lin-Lin Song; Dong-Feng Zhang; Le-Qun Su; Evelyne Jacqz-Aigrain; Wei Zhao
Journal:  Br J Clin Pharmacol       Date:  2020-01-14       Impact factor: 4.335

5.  Population pharmacokinetics of tacrolimus in children with nephrotic syndrome.

Authors:  Guo-Xiang Hao; Xin Huang; Dong-Feng Zhang; Yi Zheng; Hai-Yan Shi; Yan Li; Evelyne Jacqz-Aigrain; Wei Zhao
Journal:  Br J Clin Pharmacol       Date:  2018-05-22       Impact factor: 4.335

6.  The impact of IL-10 and CYP3A5 gene polymorphisms on dose-adjusted trough blood tacrolimus concentrations in early post-renal transplant recipients.

Authors:  Zhaolin Chen; Xi Cheng; Liwen Zhang; Liqin Tang; Yan Fang; Hongxiao Chen; Lei Zhang; Aizong Shen
Journal:  Pharmacol Rep       Date:  2021-06-05       Impact factor: 3.024

7.  A Population Pharmacokinetic Model to Predict the Individual Starting Dose of Tacrolimus Following Pediatric Renal Transplantation.

Authors:  Louise M Andrews; Dennis A Hesselink; Teun van Gelder; Birgit C P Koch; Elisabeth A M Cornelissen; Roger J M Brüggemann; Ron H N van Schaik; Saskia N de Wildt; Karlien Cransberg; Brenda C M de Winter
Journal:  Clin Pharmacokinet       Date:  2018-04       Impact factor: 6.447

8.  A Theoretical Physiologically-Based Pharmacokinetic Approach to Ascertain Covariates Explaining the Large Interpatient Variability in Tacrolimus Disposition.

Authors:  Chie Emoto; Trevor N Johnson; David Hahn; Uwe Christians; Rita R Alloway; Alexander A Vinks; Tsuyoshi Fukuda
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-03-07

9.  Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing.

Authors:  Casey R Dorr; Baolin Wu; Rory P Remmel; Amutha Muthusamy; David P Schladt; Juan E Abrahante; Weihua Guan; Roslyn B Mannon; Arthur J Matas; William S Oetting; Pamala A Jacobson; Ajay K Israni
Journal:  Pharmacogenomics J       Date:  2018-11-16       Impact factor: 3.550

10.  Investigation of the Impact of CYP3A5 Polymorphism on Drug-Drug Interaction between Tacrolimus and Schisantherin A/Schisandrin A Based on Physiologically-Based Pharmacokinetic Modeling.

Authors:  Qingfeng He; Fengjiao Bu; Hongyan Zhang; Qizhen Wang; Zhijia Tang; Jing Yuan; Hai-Shu Lin; Xiaoqiang Xiang
Journal:  Pharmaceuticals (Basel)       Date:  2021-02-27
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