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RESEARCH PRODUCT
Genotype-driven pharmacokinetic simulations of warfarin levels in Puerto Ricans.
Camila De Las BarrerasVilmali Lopez MejiasVictor MangasLeyanis Rodríguez-veraGledys ReynaldoCornelis P. VlaarJean-christophe MonbaliuTorsten StelzerTorsten StelzerJorge DucongeStephanie Reyes-gonzálezsubject
medicine.medical_specialtyGenotypeCmax030204 cardiovascular system & hematology030226 pharmacology & pharmacyGastroenterologyArticle03 medical and health sciences0302 clinical medicinePharmacokineticsVitamin K Epoxide ReductasesInternal medicineGenotypemedicineHumansPharmacology (medical)DosingGeneral Pharmacology Toxicology and PharmaceuticsCYP2C9GenotypingCytochrome P-450 CYP2C9business.industryWarfarinArea under the curveFarmàcia InvestigacióAnticoagulantsHispanic or LatinoAryl Hydrocarbon HydroxylasesWarfarinbusinessmedicine.drugdescription
Abstract Objectives The inter-individual variability of warfarin dosing has been linked to genetic polymorphisms. This study was aimed at performing genotype-driven pharmacokinetic (PK) simulations to predict warfarin levels in Puerto Ricans. Methods Analysis of each individual dataset was performed by one-compartmental modeling using WinNonlin®v6.4. The k e of warfarin given a cytochrome P450 2C9 (CYP2C9) genotype ranged from 0.0189 to 0.0075 h−1. K a and V d parameters were taken from literature. Data from 128 subjects were divided into two groups (i.e., wild-types and carriers) and statistical analyses of PK parameters were performed by unpaired t-tests. Results In the carrier group (n=64), 53 subjects were single-carriers and 11 double-carriers (i.e., *2/*2, *2/*3, *2/*5, *3/*5, and *3/*8). The mean peak concentration (Cmax) was higher for wild-type (0.36±0.12 vs. 0.32±0.14 mg/L). Likewise, the average clearance (CL) parameter was faster among non-carriers (0.22±0.03 vs. 0.17±0.05 L/h; p=0.0001), with also lower area under the curve (AUC) when compared to carriers (20.43±6.97 vs. 24.78±11.26 h mg/L; p=0.025). Statistical analysis revealed a significant difference between groups with regard to AUC and CL, but not for Cmax. This can be explained by the variation of k e across different genotypes. Conclusions The results provided useful information for warfarin dosing predictions that take into consideration important individual PK and genotyping data.
year | journal | country | edition | language |
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2020-05-10 | Drug metabolism and personalized therapy |