Literature DB >> 24052064

Impact of CYP3A4*22 allele on tacrolimus pharmacokinetics in early period after renal transplantation: toward updated genotype-based dosage guidelines.

Laure Elens1, Arnaud Capron, Ron H N van Schaik, Martine De Meyer, Luc De Pauw, Djamila C Eddour, Dominique Latinne, Pierre Wallemacq, Michel Mourad, Vincent Haufroid.   

Abstract

BACKGROUND: Tacrolimus (Tac) metabolism is mainly mediated by the cytochrome P450 3A (CYP3A) subfamily. Recently, it has been reported that kidney transplant recipients carrying the CYP3A4*22 decrease-of-function allele require lower Tac doses and are more at risk of Tac overexposure than CYP3A4*1/*1 patients. This effect was shown to be independent of the CYP3A5*3 allelic status. However, the pharmacokinetic (PK) parameters assessed in previous studies were limited on single time point whole blood trough concentrations (C0) during routine follow-up of the patient after transplantation.
METHODS: Our study investigates the impact of the CYP3A4*22 allele on Tac PK [C0, area under the time vs concentration curve (AUC0-12h), apparent clearance (Cl/F), Cmax, and dose requirement], time to achieve target C0, and creatinine clearance (CrCl) in 96 kidney transplant recipients considering the 2 first weeks after the graft. All patients were genotyped for both the CYP3A4*22 and the CYP3A5*3 polymorphisms.
RESULTS: CYP3A4*22 carriers had higher Tac C0 during the first week with significant longer exposures to C0 > 15 ng/mL. These patients showed reduced Tac Cl/F but higher dose-adjusted AUC0-12h and Cmax and were at increased risk of C0 > 20 ng/mL. These effects were independent from CYP3A5*3 genotype: clustering patients according to both CYP3A4*22 and CYP3A5*3 allelic status did increase the predictive value of the genotype to explain interindividual differences in Tac PK. During the second week after transplantation, CrCl was on average 9.5 mL/min higher for CYP3A4*22 carriers compared with CYP3A4*1/*1 patients (P = 0.007), suggesting that Tac overexposure in CYP3A4*22 carriers might provide a renal function benefit.
CONCLUSIONS: Our study confirms the decreased CYP3A4 activity toward Tac for CYP3A4*22 carriers early after transplantation and provides evidence for refining genotype-based dosage by adding the CYP3A4*22 genotype information to the CYP3A5*3 allelic status.

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Year:  2013        PMID: 24052064     DOI: 10.1097/FTD.0b013e318296045b

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


  22 in total

Review 1.  Clinical implementation of pharmacogenetics in kidney transplantation: calcineurin inhibitors in the starting blocks.

Authors:  Laure Elens; Rachida Bouamar; Nauras Shuker; Dennis A Hesselink; Teun van Gelder; Ron H N van Schaik
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2.  IL-3 and CTLA4 gene polymorphisms may influence the tacrolimus dose requirement in Chinese kidney transplant recipients.

Authors:  Mou-Ze Liu; Hai-Yan He; Yue-Li Zhang; Yong-Fang Hu; Fa-Zhong He; Jian-Quan Luo; Zhi-Ying Luo; Xiao-Ping Chen; Zhao-Qian Liu; Hong-Hao Zhou; Ming-Jie Shao; Ying-Zi Ming; Hua-Wen Xin; Wei Zhang
Journal:  Acta Pharmacol Sin       Date:  2017-01-23       Impact factor: 6.150

Review 3.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

Authors:  L E Crowley; M Mekki; S Chand
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

4.  Multigene predictors of tacrolimus exposure in kidney transplant recipients.

Authors:  Rebecca A Pulk; David S Schladt; William S Oetting; Weihua Guan; Ajay K Israni; Arthur J Matas; Rory P Remmel; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2015-06-12       Impact factor: 2.533

5.  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

Review 6.  Pharmacogenetics of Membrane Transporters of Tacrolimus in Solid Organ Transplantation.

Authors:  Camille Tron; Florian Lemaitre; Céline Verstuyft; Antoine Petitcollin; Marie-Clémence Verdier; Eric Bellissant
Journal:  Clin Pharmacokinet       Date:  2019-05       Impact factor: 6.447

7.  Early Tacrolimus Concentrations After Lung Transplant Are Predicted by Combined Clinical and Genetic Factors and Associated With Acute Kidney Injury.

Authors:  Todd A Miano; Judd D Flesch; Rui Feng; Caitlin M Forker; Melanie Brown; Michelle Oyster; Laurel Kalman; Melanie Rushefski; Edward Cantu; Mary Porteus; Wei Yang; A Russel Localio; Joshua M Diamond; Jason D Christie; Michael G S Shashaty
Journal:  Clin Pharmacol Ther       Date:  2019-10-20       Impact factor: 6.875

8.  Clinically relevant pharmacogenomic testing in pediatric practice.

Authors:  Lindsey Korbel; Mathew George; Joseph Kitzmiller
Journal:  Clin Pediatr (Phila)       Date:  2014-05-06       Impact factor: 1.168

9.  Effect of CYP3A5 genotype, steroids, and azoles on tacrolimus in a pediatric renal transplant population.

Authors:  Shwetal Lalan; Susan Abdel-Rahman; Andrea Gaedigk; J Steven Leeder; Bradley A Warady; Hongying Dai; Douglas Blowey
Journal:  Pediatr Nephrol       Date:  2014-05-30       Impact factor: 3.714

10.  The CYP3A4*22 C>T single nucleotide polymorphism is associated with reduced midazolam and tacrolimus clearance in stable renal allograft recipients.

Authors:  H de Jonge; L Elens; H de Loor; R H van Schaik; D R J Kuypers
Journal:  Pharmacogenomics J       Date:  2014-10-07       Impact factor: 3.550

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