Literature DB >> 25271728

Which Genetic Determinants Should be Considered for Tacrolimus Dose Optimization in Kidney Transplantation? A Combined Analysis of Genes Affecting the CYP3A Locus.

Henrike Bruckmueller1, Anneke Nina Werk, Lutz Renders, Thorsten Feldkamp, Martin Tepel, Christoffer Borst, Amke Caliebe, Ulrich Kunzendorf, Ingolf Cascorbi.   

Abstract

BACKGROUND: Tacrolimus is established as immunosuppressant after kidney transplantation. Polymorphism of the cytochrome P450 3A5 (CYP3A5) gene contributes significantly to tacrolimus dose requirements. Recently, CYP3A4*22 was reported to additionally affect tacrolimus pharmacokinetics (PK). In addition, there are further polymorphic genes, possibly influencing CYP3A activity [pregnane x receptor NR1I2, P450 oxidoreductase (POR), and peroxisome proliferator-activator receptor alpha (PPARA)]. We aimed to investigate combined effects of these gene variants on tacrolimus maintenance dose and PK in patients with stable kidney transplantation of 2 study centers.
METHODS: A total of 223 white patients (German cohort, 136; Danish cohort, 87) was included and genotyped for CYP3A5 (rs776746), CYP3A4 (rs35599367), NR1I2 (rs2276707), POR (rs1057868), and PPARA (rs4253728). Dosage and trough concentration/dose ratios were considered separately. A subset was investigated for comprehensive PK parameters.
RESULTS: Tacrolimus dose, trough concentration, and trough concentration/dose ratio did not differ between the German and Danish cohort. CYP3A5*3 and CYP3A4*22 contributed to dose requirements only in the German and in the total cohort. Homozygous carriers of both variants required 4.8 ± 3.1 mg, whereas carriers of the wild types required 165% higher mean tacrolimus doses (12.5 ± 7.7 mg, P = 1.4 × 10). The PK investigation revealed only nonsignificant impact of CYP3A4 genotypes on AUC12h in CYP3A5 nonexpressers (P = 0.079, power = 57%). For the entire sample, the final multiple linear regression model for trough concentration/dose ratio included CYP3A5, CYP3A4, and age. It explained 18.3% of the interindividual variability of tacrolimus trough concentration/dose ratios (P = 8.8 × 10).
CONCLUSIONS: Therapeutic drug monitoring remains essential in clinical care of patients with kidney transplantation. Genotyping of CYP3A5 and CYP3A4, however, could facilitate rapid dose finding to adapt the appropriate immunosuppressant dose, whereas other genetic factors had only little or no effect.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25271728     DOI: 10.1097/FTD.0000000000000142

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


  20 in total

1.  Personalizing initial calcineurin inhibitor dosing by adjusting to donor CYP3A-status in liver transplant patients.

Authors:  Katalin Monostory; Katalin Tóth; Ádám Kiss; Edit Háfra; Nóra Csikány; József Paulik; Enikő Sárváry; László Kóbori
Journal:  Br J Clin Pharmacol       Date:  2015-10-26       Impact factor: 4.335

2.  Overall Graft Loss Versus Death-Censored Graft Loss: Unmasking the Magnitude of Racial Disparities in Outcomes Among US Kidney Transplant Recipients.

Authors:  David J Taber; Mulugeta Gebregziabher; Elizabeth H Payne; Titte Srinivas; Prabhakar K Baliga; Leonard E Egede
Journal:  Transplantation       Date:  2017-02       Impact factor: 4.939

3.  Genomewide Association Study of Tacrolimus Concentrations in African American Kidney Transplant Recipients Identifies Multiple CYP3A5 Alleles.

Authors:  W S Oetting; D P Schladt; W Guan; M B Miller; R P Remmel; C Dorr; K Sanghavi; R B Mannon; B Herrera; A J Matas; D R Salomon; P-Y Kwok; B J Keating; A K Israni; P A Jacobson
Journal:  Am J Transplant       Date:  2015-10-20       Impact factor: 8.086

4.  Effect of ABCB1 diplotype on tacrolimus disposition in renal recipients depends on CYP3A5 and CYP3A4 genotype.

Authors:  T Vanhove; P Annaert; D Lambrechts; D R J Kuypers
Journal:  Pharmacogenomics J       Date:  2016-07-05       Impact factor: 3.550

5.  The POR rs1057868-rs2868177 GC-GT diplotype is associated with high tacrolimus concentrations in early post-renal transplant recipients.

Authors:  Shu Liu; Rong-Xin Chen; Jun Li; Yu Zhang; Xue-Ding Wang; Qian Fu; Ling-Yan Chen; Xiao-Man Liu; Hong-Bing Huang; Min Huang; Chang-Xi Wang; Jia-Li Li
Journal:  Acta Pharmacol Sin       Date:  2016-08-08       Impact factor: 6.150

6.  Sources of Interindividual Variability.

Authors:  Yvonne S Lin; Kenneth E Thummel; Brice D Thompson; Rheem A Totah; Christi W Cho
Journal:  Methods Mol Biol       Date:  2021

7.  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

8.  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

9.  CYP3A5 and PPARA genetic variants are associated with low trough concentration to dose ratio of tacrolimus in kidney transplant recipients.

Authors:  Janaína B F Everton; Fernando J B Patrício; Manuel S Faria; Teresa C A Ferreira; Elen A Romao; Gyl E B Silva; Marcelo Magalhães
Journal:  Eur J Clin Pharmacol       Date:  2021-01-05       Impact factor: 2.953

10.  A pharmacogenomic study on the pharmacokinetics of tacrolimus in healthy subjects using the DMETTM Plus platform.

Authors:  Y Choi; F Jiang; H An; H J Park; J H Choi; H Lee
Journal:  Pharmacogenomics J       Date:  2016-02-16       Impact factor: 3.550

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.