Which genetic determinants should be considered for tacrolimus dose optimization in kidney transplantation? A combined analysis of genes affecting the CYP3A locus

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

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

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, CYP3A422 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. CYP3A53 and CYP3A422 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 -5). The PK investigation revealed only nonsignificant impact of CYP3A4 genotypes on AUC 12h 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 -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.

Original languageEnglish
Pages (from-to)288-295
Number of pages8
JournalTherapeutic Drug Monitoring
Volume37
Issue number3
DOIs
StatePublished - 26 Jun 2015
Externally publishedYes

Keywords

  • dose optimization
  • kidney transplantation
  • modeling
  • pharmacogenetics
  • tacrolimus

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