Literature DB >> 26714287

A Randomized Controlled Trial Comparing the Efficacy of Cyp3a5 Genotype-Based With Body-Weight-Based Tacrolimus Dosing After Living Donor Kidney Transplantation.

N Shuker1,2, R Bouamar2, R H N van Schaik3, M C Clahsen-van Groningen4, J Damman5, C C Baan1, J van de Wetering1, A T Rowshani1, W Weimar1, T van Gelder1,2, D A Hesselink1.   

Abstract

Patients expressing the cytochrome P450 (CYP) 3A5 gene require a higher tacrolimus dose to achieve therapeutic exposure compared with nonexpressers. This randomized-controlled study investigated whether adaptation of the tacrolimus starting dose according to CYP3A5 genotype increases the proportion of kidney transplant recipients being within the target tacrolimus predose concentration range (10-15 ng/mL) at first steady-state. Two hundred forty living-donor, renal transplant recipients were assigned to either receive a standard, body-weight-based or a CYP3A5 genotype-based tacrolimus starting dose. At day 3, no difference in the proportion of patients having a tacrolimus exposure within the target range was observed between the standard-dose and genotype-based groups: 37.4% versus 35.6%, respectively; p = 0.79. The proportion of patients with a subtherapeutic (i.e. <10 ng/mL) or a supratherapeutic (i.e. >15 ng/mL) Tac predose concentration in the two groups was also not significantly different. The incidence of acute rejection was comparable between both groups (p = 0.82). Pharmacogenetic adaptation of the tacrolimus starting dose does not increase the number of patients having therapeutic tacrolimus exposure early after transplantation and does not lead to improved clinical outcome in a low immunological risk population. © Copyright 2015 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  calcineurin inhibitor: tacrolimus; clinical research/practice; genetics; immunosuppressant; immunosuppression/immune modulation; kidney transplantation/nephrology; pharmacokinetics/pharmacodynamics

Mesh:

Substances:

Year:  2016        PMID: 26714287     DOI: 10.1111/ajt.13691

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  42 in total

Review 1.  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

2.  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

3.  Effect of CYP3A5 genotype on hospitalization cost for kidney transplantation.

Authors:  Suda Vannaprasaht; Chulaporn Limwattananon; Sirirat Anutrakulchai; Chitranon Chan-On
Journal:  Int J Clin Pharm       Date:  2018-11-16

4.  Therapeutic concentration achievement and allograft survival comparing usage of conventional tacrolimus doses and CYP3A5 genotype-guided doses in renal transplantation patients.

Authors:  Sirirat Anutrakulchai; Cholatip Pongskul; Kittrawee Kritmetapak; Chulaporn Limwattananon; Suda Vannaprasaht
Journal:  Br J Clin Pharmacol       Date:  2019-07-03       Impact factor: 4.335

5.  CYP3A genotypes of donors but not those of the patients increase the risk of acute rejection in renal transplant recipients on calcineurin inhibitors: a pilot study.

Authors:  Guillermo Gervasini; Guadalupe García-Pino; Esther Vergara; Sonia Mota-Zamorano; Montserrat García-Cerrada; Enrique Luna
Journal:  Eur J Clin Pharmacol       Date:  2017-10-18       Impact factor: 2.953

6.  Tacrolimus Trough Concentration Variability and Disparities in African American Kidney Transplantation.

Authors:  David J Taber; Zemin Su; James N Fleming; John W McGillicuddy; Maria A Posadas-Salas; Frank A Treiber; Derek Dubay; Titte R Srinivas; Patrick D Mauldin; William P Moran; Prabhakar K Baliga
Journal:  Transplantation       Date:  2017-12       Impact factor: 4.939

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.  Pretransplant 4β-hydroxycholesterol does not predict tacrolimus exposure or dose requirements during the first days after kidney transplantation.

Authors:  Thomas Vanhove; Mahmoud Hasan; Pieter Annaert; Stefan Oswald; Dirk R J Kuypers
Journal:  Br J Clin Pharmacol       Date:  2017-07-14       Impact factor: 4.335

Review 9.  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

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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