Literature DB >> 29775201

Tacrolimus Population Pharmacokinetics and Multiple CYP3A5 Genotypes in Black and White Renal Transplant Recipients.

Olivia Campagne1,2, Donald E Mager1, Daniel Brazeau3, Rocco C Venuto4, Kathleen M Tornatore4,5.   

Abstract

Tacrolimus exhibits inter-patient pharmacokinetic variability attributed to CYP3A5 isoenzymes and the efflux transporter, P-glycoprotein. Most black renal transplant recipients require higher tacrolimus doses compared to whites to achieve similar troughs when race-adjusted recommendations are used. An established guideline provides tacrolimus genotype dosing recommendations based on CYP3A5*1(W/T) and loss of protein function variants: CYP3A5*3 (rs776746), CYP3A5*6 (rs10264272), CYP3A5*7 (rs41303343) and may provide more comprehensive race-adjusted dosing recommendations. Our objective was to develop a tacrolimus population pharmacokinetic model evaluating demographic, clinical, and genomic factors in stable black and white renal transplant recipients. A secondary objective investigated race-based tacrolimus regimens and genotype-specific dosing. Sixty-seven recipients receiving oral tacrolimus and mycophenolic acid ≥6 months completed a 12-hour pharmacokinetic study. CYP3A5*3,*6,*7 and ABCB1 1236C>T, 2677G>T/A, 3435C>T polymorphisms were characterized. Patients were classified as extensive, intermediate, and poor metabolizers using a novel CYP3A5*3*6*7 metabolic composite. Modeling and simulation was performed with computer software (NONMEM 7.3, ICON Development Solutions; Ellicott City, Maryland). A 2-compartment model with first-order elimination and absorption with lag time best described the data. The CYP3A5*3*6*7 metabolic composite was significantly associated with tacrolimus clearance (P value < .05), which was faster in extensive (mean: 45.0 L/hr) and intermediate (29.5 L/hr) metabolizers than poor metabolizers (19.8 L/hr). Simulations support CYP3A5*3*6*7 genotype-based tacrolimus dosing to enhance general race-adjusted regimens, with dose increases of 1.5-fold and 2-fold, respectively, in intermediate and extensive metabolizers for comparable exposures to poor metabolizers. This model offers a novel approach to determine tacrolimus dosing adjustments that maintain comparable therapeutic exposure between black and white recipients with different CYP3A5 genotypes.
© 2018, The American College of Clinical Pharmacology.

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Keywords:  CYP3A5 genotypes; population pharmacokinetics; race; tacrolimus

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Year:  2018        PMID: 29775201      PMCID: PMC6105387          DOI: 10.1002/jcph.1118

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  47 in total

1.  OPTN/SRTR 2013 Annual Data Report: kidney.

Authors:  A J Matas; J M Smith; M A Skeans; B Thompson; S K Gustafson; D E Stewart; W S Cherikh; J L Wainright; G Boyle; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2015-01       Impact factor: 8.086

2.  Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in renal transplant recipients on a new once-daily formulation.

Authors:  Khaled Benkali; Lionel Rostaing; Aurélie Premaud; Jean-Baptiste Woillard; Franck Saint-Marcoux; Saik Urien; Nassim Kamar; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2010-10       Impact factor: 6.447

3.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP3A5 Genotype and Tacrolimus Dosing.

Authors:  K A Birdwell; B Decker; J M Barbarino; J F Peterson; C M Stein; W Sadee; D Wang; A A Vinks; Y He; J J Swen; J S Leeder; Rhn van Schaik; K E Thummel; T E Klein; K E Caudle; I A M MacPhee
Journal:  Clin Pharmacol Ther       Date:  2015-06-03       Impact factor: 6.875

4.  A New CYP3A5*3 and CYP3A4*22 Cluster Influencing Tacrolimus Target Concentrations: A Population Approach.

Authors:  Franc Andreu; Helena Colom; Laure Elens; Teun van Gelder; Ronald H N van Schaik; Dennis A Hesselink; Oriol Bestard; Joan Torras; Josep M Cruzado; Josep M Grinyó; Nuria Lloberas
Journal:  Clin Pharmacokinet       Date:  2017-08       Impact factor: 6.447

5.  Racial differences in renal transplantation after immunosuppression with tacrolimus versus cyclosporine. FK506 Kidney Transplant Study Group.

Authors:  J F Neylan
Journal:  Transplantation       Date:  1998-02-27       Impact factor: 4.939

6.  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

7.  Population pharmacokinetics of tacrolimus in adult kidney transplant recipients.

Authors:  Christine E Staatz; Charlene Willis; Paul J Taylor; Susan E Tett
Journal:  Clin Pharmacol Ther       Date:  2002-12       Impact factor: 6.875

Review 8.  The role of tacrolimus in renal transplantation.

Authors:  Lyndsey J Bowman; Daniel C Brennan
Journal:  Expert Opin Pharmacother       Date:  2008-03       Impact factor: 3.889

9.  Inclusion of CYP3A5 genotyping in a nonparametric population model improves dosing of tacrolimus early after transplantation.

Authors:  Anders Åsberg; Karsten Midtvedt; Mike van Guilder; Elisabet Størset; Sara Bremer; Stein Bergan; Roger Jelliffe; Anders Hartmann; Michael N Neely
Journal:  Transpl Int       Date:  2013-10-15       Impact factor: 3.782

10.  Association of Extrarenal Adverse Effects of Posttransplant Immunosuppression With Sex and ABCB1 Haplotypes.

Authors:  Rocco C Venuto; Calvin J Meaney; Shirley Chang; Nicolae Leca; Joseph D Consiglio; Gregory E Wilding; Daniel Brazeau; Aijaz Gundroo; Neha Nainani; Sarah E Morse; Louise M Cooper; Kathleen M Tornatore
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

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  10 in total

1.  The impact of tacrolimus exposure on extrarenal adverse effects in adult renal transplant recipients.

Authors:  Olivia Campagne; Donald E Mager; Daniel Brazeau; Rocco C Venuto; Kathleen M Tornatore
Journal:  Br J Clin Pharmacol       Date:  2019-01-04       Impact factor: 4.335

2.  Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups.

Authors:  Moataz E Mohamed; David P Schladt; Weihua Guan; Baolin Wu; Jessica van Setten; Brendan J Keating; David Iklé; Rory P Remmel; Casey R Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; William S Oetting; Pamala A Jacobson
Journal:  Am J Transplant       Date:  2019-05-13       Impact factor: 8.086

3.  Influence of Calcineurin Inhibitor and Sex on Mycophenolic Acid Pharmacokinetics and Adverse Effects Post-Renal Transplant.

Authors:  Calvin J Meaney; Patcharaporn Sudchada; Joseph D Consiglio; Gregory E Wilding; Louise M Cooper; Rocco C Venuto; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2019-05-06       Impact factor: 3.126

Review 4.  Why We Need to Take a Closer Look at Genetic Contributions to CYP3A Activity.

Authors:  Qinglian Zhai; Maaike van der Lee; Teun van Gelder; Jesse J Swen
Journal:  Front Pharmacol       Date:  2022-06-16       Impact factor: 5.988

5.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       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.  Beyond Single Nucleotide Polymorphisms: CYP3A5367 Composite and ABCB1 Haplotype Associations to Tacrolimus Pharmacokinetics in Black and White Renal Transplant Recipients.

Authors:  Daniel A Brazeau; Kristopher Attwood; Calvin J Meaney; Gregory E Wilding; Joseph D Consiglio; Shirley S Chang; Aijaz Gundroo; Rocco C Venuto; Louise Cooper; Kathleen M Tornatore
Journal:  Front Genet       Date:  2020-08-11       Impact factor: 4.599

8.  Evaluation of the performance of a prior tacrolimus population pharmacokinetic kidney transplant model among adult allogeneic hematopoietic stem cell transplant patients.

Authors:  Jing Zhu; Olivia Campagne; Chad D Torrice; Gabrielle Flynn; Jordan A Miller; Tejendra Patel; Oscar Suzuki; Jonathan R Ptachcinski; Paul M Armistead; Tim Wiltshire; Donald E Mager; Daniel L Weiner; Daniel J Crona
Journal:  Clin Transl Sci       Date:  2021-01-27       Impact factor: 4.689

9.  Population pharmacokinetics and genetics of oral meltdose tacrolimus (Envarsus) in stable adult liver transplant recipients.

Authors:  Lisa C Martial; Maaike Biewenga; Bastian N Ruijter; Ron Keizer; Jesse J Swen; Bart van Hoek; Dirk Jan A R Moes
Journal:  Br J Clin Pharmacol       Date:  2021-05-04       Impact factor: 4.335

10.  Race and sex associations with tacrolimus pharmacokinetics in stable kidney transplant recipients.

Authors:  Kathleen M Tornatore; Calvin J Meaney; Kristopher Attwood; Daniel A Brazeau; Gregory E Wilding; Joseph D Consiglio; Aijaz Gundroo; Shirley S Chang; Vanessa Gray; Louise M Cooper; Rocco C Venuto
Journal:  Pharmacotherapy       Date:  2022-02-01       Impact factor: 6.251

  10 in total

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