Literature DB >> 19258929

Explaining variability in tacrolimus pharmacokinetics to optimize early exposure in adult kidney transplant recipients.

Rogier R Press1, Bart A Ploeger, Jan den Hartigh, Tahar van der Straaten, Johannes van Pelt, Meindert Danhof, Johan W de Fijter, Henk-Jan Guchelaar.   

Abstract

To prevent acute rejection episodes, it is important to reach adequate tacrolimus (TRL) exposure early after kidney transplantation. With a better understanding of the high variability in the pharmacokinetics of TRL, the starting dose can be individualized, resulting in a reduction in dose adjustments to obtain the target exposure. A population pharmacokinetic analysis was performed to estimate the effects of demographic factors, hematocrit, serum albumin concentration, prednisolone dose, TRL dose interval, polymorphisms in genes coding for ABCB1, CYP3A5, CYP3A4, and the pregnane X receptor on TRL pharmacokinetics. Pharmacokinetic data were prospectively obtained in 31 de novo kidney transplant patients randomized to receive TRL once or twice daily, and subsequently, the data were analyzed by means of nonlinear mixed-effects modeling. TRL clearance was 1.5-fold higher for patients with the CYP3A5*1/*3 genotype compared with the CYP3A5*3/*3 genotype (5.5 +/- 0.5 L/h versus 3.7 +/- 0.3 L/h, respectively). This factor explained 30% of the interindividual variability in apparent clearance (exposure). Also, a relationship between the pregnane X receptor A+7635G genotype and TRL clearance was identified with a clearance of 3.9 +/- 0.3 L/h in the A allele carriers versus 5.4 +/- 0.6 L/h in the GG genotype. Finally, a concomitant prednisolone dose of more than 10 mg/d increased the TRL apparent clearance by 15%. In contrast, body weight was not related to TRL clearance in this population. Because patients are typically dosed per kilogram body weight, this might result in underexposure and overexposure in patients, with a low and high body weight, respectively. This integrated analysis shows that adult renal transplant recipients with the CYP3A5*1/*3 genotype require a 1.5 times higher, fixed, starting dose compared with CYP3A5*3/*3 to reach the predefined target exposure early after transplantation.

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Year:  2009        PMID: 19258929     DOI: 10.1097/FTD.0b013e31819c3d6d

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  47 in total

1.  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

2.  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

3.  Population pharmacokinetic model and Bayesian estimator for two tacrolimus formulations--twice daily Prograf and once daily Advagraf.

Authors:  Jean-Baptiste Woillard; Brenda C M de Winter; Nassim Kamar; Pierre Marquet; Lionel Rostaing; Annick Rousseau
Journal:  Br J Clin Pharmacol       Date:  2011-03       Impact factor: 4.335

Review 4.  PharmGKB summary: cyclosporine and tacrolimus pathways.

Authors:  Julia M Barbarino; Christine E Staatz; Raman Venkataramanan; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2013-10       Impact factor: 2.089

5.  A dimension reduction approach for modeling multi-locus interaction in case-control studies.

Authors:  Saonli Basu; Wei Pan; William S Oetting
Journal:  Hum Hered       Date:  2011-07-06       Impact factor: 0.444

6.  Population pharmacokinetic analysis of tacrolimus in Mexican paediatric renal transplant patients: role of CYP3A5 genotype and formulation.

Authors:  Carlos Orlando Jacobo-Cabral; Pilar García-Roca; Elba Margarita Romero-Tejeda; Herlinda Reyes; Mara Medeiros; Gilberto Castañeda-Hernández; Iñaki F Trocóniz
Journal:  Br J Clin Pharmacol       Date:  2015-06-22       Impact factor: 4.335

Review 7.  Pharmacogenomics and personalized medicine: a review focused on their application in the Chinese population.

Authors:  Wen-ying Shu; Jia-li Li; Xue-ding Wang; Min Huang
Journal:  Acta Pharmacol Sin       Date:  2015-04-20       Impact factor: 6.150

Review 8.  Clinical Pharmacokinetics of Once-Daily Tacrolimus in Solid-Organ Transplant Patients.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2015-10       Impact factor: 6.447

9.  Population pharmacokinetics and pharmacogenetics of everolimus in renal transplant patients.

Authors:  Dirk Jan A R Moes; Rogier R Press; Jan den Hartigh; Tahar van der Straaten; Johan W de Fijter; Henk-Jan Guchelaar
Journal:  Clin Pharmacokinet       Date:  2012-07-01       Impact factor: 6.447

Review 10.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

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