Pharmacogenomics · 2018 · 23 citations · 33 references
PharmacyPharmacokineticsPharmacologyKidney TransplantationPharmacokinetic ModelingPopulation PharmacokineticsImmunosuppression In Kidney TransplantationPharmacogenomics In TransplantationPopulation Pharmacokinetic ModelingRenal Drug DistributionRenal PharmacologyTransplant PharmacokineticsCyp3a4 Genetic VariationCyp3a5 Genotype EffectsCyp3a5 GenotypingCyp3a5 PharmacogeneticsInterpatient Variability AnalysisPharmacogenetics Of ImmunosuppressantsTacrolimus PharmacogeneticsTacrolimus Pharmacokinetics
AIM: To develop a population pharmacokinetic (PK) model of tacrolimus in Chinese Han renal transplant population and establish the influence of different covariates (especially different CYP3A5/3A4/POR genotype) on PK properties. MATERIALS & METHODS: Trough tacrolimus concentrations, clinical characteristics and CYP3A5/CYP3A4/POR genotypes were collected from 141 adult renal transplant recipients after transplantation. The population PK analysis was carried out using the nonlinear mixed-effect modeling software NONMEM version 3.4.2. RESULTS: Tacrolimus PK profiles exhibited high interpatient variability. A two compartment model with first-order input and elimination described the tacrolimus PK profiles in the studied population. Among the genotypes, only CYP3A5 genotype was confirmed to have clinical significance. CONCLUSION: Our final model confirmed that CYP3A5*3 plays a more significant role in tacrolimus PK and could affect the blood concentrations and CL/F (clearance rate/bioavailbility). This model is expected to help to improve individualized tacrolimus dosing.
33
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Immunosuppression: Evolution in Practice and Trends, 1994–2004
H.-U. Meier-Kriesche, S. Li, Rainer W.G. Gruessner et al. · American Journal of Transplantation · 2006 · 558 citations · Full text