Literature DB >> 28704257

The combination of CYP3A4*22 and CYP3A5*3 single-nucleotide polymorphisms determines tacrolimus dose requirement after kidney transplantation.

Nuria Lloberas1, Laure Elens, Ines Llaudó, Ariadna Padullés, Teun van Gelder, Dennis A Hesselink, Helena Colom, Franc Andreu, Joan Torras, Oriol Bestard, Josep M Cruzado, Salvador Gil-Vernet, Ron van Schaik, Josep M Grinyó.   

Abstract

INTRODUCTION: Tacrolimus (Tac) has a narrow therapeutic window and shows large between-patient pharmacokinetic variability. As a result, over-immunosuppression and under-immunosuppression are frequently encountered in daily clinical practice. Unraveling the impact of genetic polymorphisms on Tac pharmacokinetics may help to refine therapy. In this study, the associations of single-nucleotide polymorphisms (SNPs) in drug-metabolizing enzymes (CYP3A) with Tac pharmacokinetics were investigated in renal transplant recipients. PARTICIPANTS AND METHODS: In a cohort of 272 kidney transplant recipients, associations between functional genetic variants (CYP3A4*22 and CYP3A5*3) and dose-adjusted predose Tac concentrations (C0) and daily doses of Tac at days 5-7 and 15 and 1, 3, 6 and 12 months after renal transplantation were evaluated. Patients were genotyped and clustered according to both CYP3A4*22 and CYP3A5*3 allelic status: poor (PM) (CYP3A4*22 carriers with CYP3A5*3/*3), intermediate (IM) (CYP3A4*1/*1 with CYP3A5*3/*3 or CYP3A4*22 carriers with CYP3A5*1 carriers) and extensive CYP3A-metabolizers (EM) (CYP3A4*1/*1 and CYP3A5*1 carriers).
RESULTS: EM had an 88% lower dose-adjusted C0 compared with IM. PM had a 26% higher dose-adjusted C0 compared with IM. The percentage of patients with supratherapeutic Tac exposure (C0>15 ng/ml) was significantly higher in PM (43.5%) compared with EM (0%) at days 5-7 after transplantation (P=0.01). About 30% of EM had subtherapeutic exposure (C0<5 ng/ml) at days 5-7 after transplantation (P=0.001).
CONCLUSION: The combined CYP3A4 and CYP3A5 genotype of renal transplant recipients has a major influence on the Tac dose required to reach the target exposure.

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Year:  2017        PMID: 28704257     DOI: 10.1097/FPC.0000000000000296

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  13 in total

1.  Genome-wide association study identifies the common variants in CYP3A4 and CYP3A5 responsible for variation in tacrolimus trough concentration in Caucasian kidney transplant recipients.

Authors:  W S Oetting; B Wu; D P Schladt; W Guan; R P Remmel; R B Mannon; A J Matas; A K Israni; P A Jacobson
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

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.  Body composition is associated with tacrolimus pharmacokinetics in kidney transplant recipients.

Authors:  M I Francke; W J Visser; D Severs; A M E de Mik-van Egmond; D A Hesselink; B C M De Winter
Journal:  Eur J Clin Pharmacol       Date:  2022-05-14       Impact factor: 3.064

4.  Composite CYP3A phenotypes influence tacrolimus dose-adjusted concentration in lung transplant recipients.

Authors:  Michelle Liu; Ciara M Shaver; Kelly A Birdwell; Stephanie A Heeney; Christian M Shaffer; Sara L Van Driest
Journal:  Pharmacogenet Genomics       Date:  2022-04-07       Impact factor: 2.000

5.  Tacrolimus Elimination in Four Patients With a CYP3A5*3/*3 CYP3A4*22/*22 Genotype Combination.

Authors:  Aileen Scheibner; Rory Remmel; David Schladt; William S Oetting; Weihua Guan; Baolin Wu; Casey Dorr; Ajay Israni; Pamala A Jacobson
Journal:  Pharmacotherapy       Date:  2018-06-27       Impact factor: 6.251

6.  A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients.

Authors:  L M Andrews; D A Hesselink; R H N van Schaik; T van Gelder; J W de Fijter; N Lloberas; L Elens; D J A R Moes; B C M de Winter
Journal:  Br J Clin Pharmacol       Date:  2019-01-17       Impact factor: 4.335

7.  The Impact of CYP3A4*22 on Tacrolimus Pharmacokinetics and Outcome in Clinical Practice at a Single Kidney Transplant Center.

Authors:  Emaad Abdel-Kahaar; Stefan Winter; Roman Tremmel; Elke Schaeffeler; Christoph J Olbricht; Eberhard Wieland; Matthias Schwab; Maria Shipkova; Simon U Jaeger
Journal:  Front Genet       Date:  2019-09-26       Impact factor: 4.599

8.  Monitoring the tacrolimus concentration in peripheral blood mononuclear cells of kidney transplant recipients.

Authors:  Marith I Francke; Dennis A Hesselink; Yi Li; Birgit C P Koch; Lucia E A de Wit; Ron H N van Schaik; Lin Yang; Carla C Baan; Teun van Gelder; Brenda C M de Winter
Journal:  Br J Clin Pharmacol       Date:  2020-11-24       Impact factor: 4.335

Review 9.  CYP3A422 Genotyping in Clinical Practice: Ready for Implementation?

Authors:  Tessa A M Mulder; Ruben A G van Eerden; Mirjam de With; Laure Elens; Dennis A Hesselink; Maja Matic; Sander Bins; Ron H J Mathijssen; Ron H N van Schaik
Journal:  Front Genet       Date:  2021-07-08       Impact factor: 4.599

10.  Development of De Novo Donor-specific HLA Antibodies and AMR in Renal Transplant Patients Depends on CYP3A5 Genotype.

Authors:  Justa Friebus-Kardash; Ejona Nela; Birte Möhlendick; Andreas Kribben; Winfried Siffert; Falko Markus Heinemann; Ute Eisenberger
Journal:  Transplantation       Date:  2021-07-01       Impact factor: 5.385

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