Literature DB >> 15244495

Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Christine E Staatz1, Susan E Tett.   

Abstract

The aim of this review is to analyse critically the recent literature on the clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplant recipients. Dosage and target concentration recommendations for tacrolimus vary from centre to centre, and large pharmacokinetic variability makes it difficult to predict what concentration will be achieved with a particular dose or dosage change. Therapeutic ranges have not been based on statistical approaches. The majority of pharmacokinetic studies have involved intense blood sampling in small homogeneous groups in the immediate post-transplant period. Most have used nonspecific immunoassays and provide little information on pharmacokinetic variability. Demographic investigations seeking correlations between pharmacokinetic parameters and patient factors have generally looked at one covariate at a time and have involved small patient numbers. Factors reported to influence the pharmacokinetics of tacrolimus include the patient group studied, hepatic dysfunction, hepatitis C status, time after transplantation, patient age, donor liver characteristics, recipient race, haematocrit and albumin concentrations, diurnal rhythm, food administration, corticosteroid dosage, diarrhoea and cytochrome P450 (CYP) isoenzyme and P-glycoprotein expression. Population analyses are adding to our understanding of the pharmacokinetics of tacrolimus, but such investigations are still in their infancy. A significant proportion of model variability remains unexplained. Population modelling and Bayesian forecasting may be improved if CYP isoenzymes and/or P-glycoprotein expression could be considered as covariates. Reports have been conflicting as to whether low tacrolimus trough concentrations are related to rejection. Several studies have demonstrated a correlation between high trough concentrations and toxicity, particularly nephrotoxicity. The best predictor of pharmacological effect may be drug concentrations in the transplanted organ itself. Researchers have started to question current reliance on trough measurement during therapeutic drug monitoring, with instances of toxicity and rejection occurring when trough concentrations are within 'acceptable' ranges. The correlation between blood concentration and drug exposure can be improved by use of non-trough timepoints. However, controversy exists as to whether this will provide any great benefit, given the added complexity in monitoring. Investigators are now attempting to quantify the pharmacological effects of tacrolimus on immune cells through assays that measure in vivo calcineurin inhibition and markers of immunosuppression such as cytokine concentration. To date, no studies have correlated pharmacodynamic marker assay results with immunosuppressive efficacy, as determined by allograft outcome, or investigated the relationship between calcineurin inhibition and drug adverse effects. Little is known about the magnitude of the pharmacodynamic variability of tacrolimus.

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Year:  2004        PMID: 15244495     DOI: 10.2165/00003088-200443100-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  302 in total

1.  Tacrolimus and diarrhea: pathogenesis of altered metabolism.

Authors:  N Mittal; J F Thompson; T Kato; A G Tzakis
Journal:  Pediatr Transplant       Date:  2001-04

2.  Pharmacokinetics of FK 506: preclinical and clinical studies.

Authors:  R Venkataramanan; A Jain; E Cadoff; V Warty; K Iwasaki; K Nagase; A Krajack; O Imventarza; S Todo; J J Fung
Journal:  Transplant Proc       Date:  1990-02       Impact factor: 1.066

3.  Correlation of rejection episodes with FK 506 dosage, FK 506 level, and steroids following primary orthotopic liver transplant.

Authors:  A B Jain; S Todo; J J Fung; R Venkataramanan; R Day; J Bryant; K M Abu-Elmagd; M Alessiani; S Takaya; A Tzakis
Journal:  Transplant Proc       Date:  1991-12       Impact factor: 1.066

4.  Pharmacokinetics of FK 506 following oral administration: a comparison of FK 506 and cyclosporine.

Authors:  R Venkataramanan; A Jain; V W Warty; K Abu-Elmagd; H Furakawa; O Imventarza; J Fung; S Todo; T E Starzl
Journal:  Transplant Proc       Date:  1991-02       Impact factor: 1.066

5.  Relationship of FK506 whole blood concentrations and efficacy and toxicity after liver and kidney transplantation.

Authors:  R P Kershner; W E Fitzsimmons
Journal:  Transplantation       Date:  1996-10-15       Impact factor: 4.939

6.  The genetic determinants of the CYP3A5 polymorphism.

Authors:  E Hustert; M Haberl; O Burk; R Wolbold; Y Q He; K Klein; A C Nuessler; P Neuhaus; J Klattig; R Eiselt; I Koch; A Zibat; J Brockmöller; J R Halpert; U M Zanger; L Wojnowski
Journal:  Pharmacogenetics       Date:  2001-12

7.  Detection of intracellular cytokines by flow cytometry.

Authors:  T Jung; U Schauer; C Heusser; C Neumann; C Rieger
Journal:  J Immunol Methods       Date:  1993-02-26       Impact factor: 2.303

8.  Optimization of the immunosuppressive protocol after lung transplantation.

Authors:  H Reichenspurner; F Kur; H Treede; B M Meiser; O Deutsch; A Welz; C Vogelmeier; M Schwaiblmair; C Müller; H Fürst; J Briegel; B Reichart
Journal:  Transplantation       Date:  1999-07-15       Impact factor: 4.939

9.  The impact of ethnic miscegenation on tacrolimus clinical pharmacokinetics and therapeutic drug monitoring.

Authors:  Claudia R Felipe; Helio T Silva; Paula G P Machado; Riberto Garcia; Silvia R da Silva Moreira; José O M Pestana
Journal:  Clin Transplant       Date:  2002-08       Impact factor: 2.863

Review 10.  Mechanisms of clinically relevant drug interactions associated with tacrolimus.

Authors:  Uwe Christians; Wolfgang Jacobsen; Leslie Z Benet; Alfonso Lampen
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

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  202 in total

1.  Tacrolimus pharmacokinetics in the early post-liver transplantation period and clinical applicability via Bayesian prediction.

Authors:  Itziar Oteo; John C Lukas; Nerea Leal; Elena Suarez; Andres Valdivieso; Mikel Gastaca; Jorge Ortiz de Urbina; Rosario Calvo
Journal:  Eur J Clin Pharmacol       Date:  2012-06-03       Impact factor: 2.953

2.  Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.

Authors:  Nayoung Han; Hwi-yeol Yun; Jin-yi Hong; In-Wha Kim; Eunhee Ji; Su Hyun Hong; Yon Su Kim; Jongwon Ha; Wan Gyoon Shin; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2012-06-02       Impact factor: 2.953

3.  Age and CYP3A5 genotype affect tacrolimus dosing requirements after transplant in pediatric heart recipients.

Authors:  Violette Gijsen; Seema Mital; Ron H van Schaik; Offie P Soldin; Steven J Soldin; Ilse P van der Heiden; Irena Nulman; Gideon Koren; Saskia N de Wildt
Journal:  J Heart Lung Transplant       Date:  2011-09-17       Impact factor: 10.247

4.  Pharmacokinetics of tacrolimus converted from twice-daily formulation to once-daily formulation in Chinese stable liver transplant recipients.

Authors:  Yi-fan Zhang; Xiao-yan Chen; Xiao-jian Dai; Xi-sheng Leng; Da-fang Zhong
Journal:  Acta Pharmacol Sin       Date:  2011-10-03       Impact factor: 6.150

5.  Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.

Authors:  Katherine A Barraclough; Nicole M Isbel; Carl M Kirkpatrick; Katie J Lee; Paul J Taylor; David W Johnson; Scott B Campbell; Diana R Leary; Christine E Staatz
Journal:  Br J Clin Pharmacol       Date:  2011-02       Impact factor: 4.335

6.  External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.

Authors:  Chen-Yan Zhao; Zheng Jiao; Jun-Jun Mao; Xiao-Yan Qiu
Journal:  Br J Clin Pharmacol       Date:  2016-02-26       Impact factor: 4.335

7.  Evaluation of limited sampling strategies for tacrolimus.

Authors:  Robert A M Op den Buijsch; Afke van de Plas; Leo M L Stolk; Maarten H L Christiaans; Johannes P van Hooff; Nas A Undre; Marja P van Dieijen-Visser; Otto Bekers
Journal:  Eur J Clin Pharmacol       Date:  2007-08-22       Impact factor: 2.953

8.  Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.

Authors:  Cécile Gérard; Jeanick Stocco; Anne Hulin; Benoit Blanchet; Céline Verstuyft; François Durand; Filomena Conti; Christophe Duvoux; Michel Tod
Journal:  AAPS J       Date:  2014-02-14       Impact factor: 4.009

9.  Chromosomal aberrations in UVB-induced tumors of immunosuppressed mice.

Authors:  Amy M Dworkin; Kathleen L Tober; F Jason Duncan; Lianbo Yu; Anne M VanBuskirk; Tatiana M Oberyszyn; Amanda Ewart Toland
Journal:  Genes Chromosomes Cancer       Date:  2009-06       Impact factor: 5.006

10.  Population pharmacokinetic analysis of tacrolimus in the first year after pediatric liver transplantation.

Authors:  V Guy-Viterbo; A Scohy; R K Verbeeck; R Reding; P Wallemacq; Flora Tshinanu Musuamba
Journal:  Eur J Clin Pharmacol       Date:  2013-04-16       Impact factor: 2.953

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