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Physiologically based pharmacokinetic (PBPK) modeling of pitavastatin in relation to SLCO1B1 genetic polymorphismPhysiologically based pharmacokinetic (PBPK) modeling of pitavastatin in relation to SLCO1B1 genetic polymorphism

Other Titles
Physiologically based pharmacokinetic (PBPK) modeling of pitavastatin in relation to SLCO1B1 genetic polymorphism
Authors
Cho, Chang-KeunMo, Ju YeonKo, EunvinKang, PureumJang, Choon-GonLee, Seok-YongLee, Yun JeongBae, Jung-WooChoi, Chang-Ik
Issue Date
Feb-2024
Publisher
대한약학회
Keywords
Pitavastatin; Physiologically based pharmacokinetic (PBPK) model; Genetic polymorphism
Citation
Archives of Pharmacal Research, v.47, no.2, pp 95 - 110
Pages
16
Indexed
SCIE
SCOPUS
KCI
Journal Title
Archives of Pharmacal Research
Volume
47
Number
2
Start Page
95
End Page
110
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21370
DOI
10.1007/s12272-023-01476-9
ISSN
0253-6269
1976-3786
Abstract
Pitavastatin, a potent 3-hydroxymethylglutaryl coenzyme A reductase inhibitor, is indicated for the treatment of hypercholesterolemia and mixed dyslipidemia. Hepatic uptake of pitavastatin is predominantly occupied by the organic anion transporting polypeptide 1B1 (OATP1B1) and solute carrier organic anion transporter family member 1B1 (SLCO1B1) gene, which is a polymorphic gene that encodes OATP1B1. SLCO1B1 genetic polymorphism significantly alters the pharmacokinetics of pitavastatin. This study aimed to establish the physiologically based pharmacokinetic (PBPK) model to predict pitavastatin pharmacokinetics according to SLCO1B1 genetic polymorphism. PK-Sim (R) version 10.0 was used to establish the whole-body PBPK model of pitavastatin. Our pharmacogenomic data and a total of 27 clinical pharmacokinetic data with different dose administration and demographic properties were used to develop and validate the model, respectively. Physicochemical properties and disposition characteristics of pitavastatin were acquired from previously reported data or optimized to capture the plasma concentration-time profiles in different SLCO1B1 diplotypes. Model evaluation was performed by comparing the predicted pharmacokinetic parameters and profiles to the observed data. Predicted plasma concentration-time profiles were visually similar to the observed profiles in the non-genotyped populations and different SLCO1B1 diplotypes. All fold error values for AUC and C-max were included in the two fold range of observed values. Thus, the PBPK model of pitavastatin in different SLCO1B1 diplotypes was properly established. The present study can be useful to individualize the dose administration strategy of pitavastatin in individuals with various ages, races, and SLCO1B1 diplotypes.
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