Literature DB >> 22871995

In vivo CYP3A4 activity, CYP3A5 genotype, and hematocrit predict tacrolimus dose requirements and clearance in renal transplant patients.

H de Jonge1, H de Loor, K Verbeke, Y Vanrenterghem, D R Kuypers.   

Abstract

Tacrolimus is metabolized by CYP3A4 and CYP3A5 and is characterized by a narrow therapeutic index and highly variable pharmacokinetics. This cross-sectional study in 59 renal transplant patients investigated the relationship among in vivo CYP3A4 activity (assessed using midazolam as a drug probe), CYP3A5 genotype on the one hand, and tacrolimus pharmacokinetics on the other hand, taking into account other potential determinants of tacrolimus disposition. In vivo CYP3A4 activity and CYP3A5 genotype explain 56-59% of variability in tacrolimus dose requirements and clearance, contributing ~25 and 30%, respectively. Hematocrit explains an additional 4-14%. These data indicate that CYP3A4- and CYP3A5-mediated tacrolimus metabolisms are major determinants of tacrolimus disposition in vivo and explain a substantial part of the clinically observed high interindividual variability in tacrolimus pharmacokinetics. Furthermore, these data provide a potential basis for a comprehensive approach to predicting tacrolimus dose requirement in individual patients and hence provide a strategy to tailor immunosuppressive therapy in transplant recipients.

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Year:  2012        PMID: 22871995     DOI: 10.1038/clpt.2012.109

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  35 in total

1.  A Markov chain model to evaluate the effect of CYP3A5 and ABCB1 polymorphisms on adverse events associated with tacrolimus in pediatric renal transplantation.

Authors:  Sherwin K B Sy; Jules Heuberger; Sireen Shilbayeh; Daniela J Conrado; Hartmut Derendorf
Journal:  AAPS J       Date:  2013-08-30       Impact factor: 4.009

Review 2.  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

3.  Prediction of tacrolimus metabolism and dosage requirements based on CYP3A4 phenotype and CYP3A5(*)3 genotype in Chinese renal transplant recipients.

Authors:  Xi Luo; Li-jun Zhu; Ning-fang Cai; Li-yun Zheng; Ze-neng Cheng
Journal:  Acta Pharmacol Sin       Date:  2016-02-29       Impact factor: 6.150

4.  Weight of ABCB1 and POR genes on oral tacrolimus exposure in CYP3A5 nonexpressor pediatric patients with stable kidney transplant.

Authors:  G N Almeida-Paulo; I Dapía García; R Lubomirov; A M Borobia; N L Alonso-Sánchez; L Espinosa; A J Carcas-Sansuán
Journal:  Pharmacogenomics J       Date:  2017-01-17       Impact factor: 3.550

5.  Attempted validation of 44 reported SNPs associated with tacrolimus troughs in a cohort of kidney allograft recipients.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Rory P Remmel; Casey Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2018-01-10       Impact factor: 2.533

Review 6.  Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics of Immunosuppressants in Allogeneic Hematopoietic Cell Transplantation: Part II.

Authors:  Jeannine S McCune; Meagan J Bemer; Janel Long-Boyle
Journal:  Clin Pharmacokinet       Date:  2016-05       Impact factor: 6.447

7.  Importance of hematocrit for a tacrolimus target concentration strategy.

Authors:  Elisabet Størset; Nick Holford; Karsten Midtvedt; Sara Bremer; Stein Bergan; Anders Åsberg
Journal:  Eur J Clin Pharmacol       Date:  2013-09-27       Impact factor: 2.953

8.  Progressive decline in tacrolimus clearance after renal transplantation is partially explained by decreasing CYP3A4 activity and increasing haematocrit.

Authors:  Hylke de Jonge; Thomas Vanhove; Henriëtte de Loor; Kristin Verbeke; Dirk R J Kuypers
Journal:  Br J Clin Pharmacol       Date:  2015-08-03       Impact factor: 4.335

9.  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

10.  Comparative performance of oral midazolam clearance and plasma 4β-hydroxycholesterol to explain interindividual variability in tacrolimus clearance.

Authors:  Thomas Vanhove; Hylke de Jonge; Henriëtte de Loor; Pieter Annaert; Ulf Diczfalusy; Dirk R J Kuypers
Journal:  Br J Clin Pharmacol       Date:  2016-09-20       Impact factor: 4.335

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