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Asano D, Nakamura K, Nishiya Y, Shiozawa H, Takakusa H, Shibayama T, Inoue SI, Shinozuka T, Hamada T, Yahara C, Watanabe N, Yoshinari K. Physiologically Based Pharmacokinetic Modeling for Quantitative Prediction of Exposure to a Human Disproportionate Metabolite of the Selective Na V1.7 Inhibitor DS-1971a, a Mixed Substrate of Cytochrome P450 and Aldehyde Oxidase, Using Chimeric Mice With Humanized Liver. Drug Metab Dispos 2023; 51:67-80. [PMID: 36273823 DOI: 10.1124/dmd.122.001000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/28/2022] [Accepted: 09/30/2022] [Indexed: 12/24/2022] Open
Abstract
In a previous study on the human mass balance of DS-1971a, a selective NaV1.7 inhibitor, its CYP2C8-dependent metabolite M1 was identified as a human disproportionate metabolite. The present study assessed the usefulness of pharmacokinetic evaluation in chimeric mice grafted with human hepatocytes (PXB-mice) and physiologically based pharmacokinetic (PBPK) simulation of M1. After oral administration of radiolabeled DS-1971a, the most abundant metabolite in the plasma, urine, and feces of PXB-mice was M1, while those of control SCID mice were aldehyde oxidase-related metabolites including M4, suggesting a drastic difference in the metabolism between these mouse strains. From a qualitative perspective, the metabolite profile observed in PXB-mice was remarkably similar to that in humans, but the quantitative evaluation indicated that the area under the plasma concentration-time curve (AUC) ratio of M1 to DS-1971a (M1/P ratio) was approximately only half of that in humans. A PXB-mouse-derived PBPK model was then constructed to achieve a more accurate prediction, giving an M1/P ratio (1.3) closer to that in humans (1.6) than the observed value in PXB-mice (0.69). In addition, simulated maximum plasma concentration and AUC values of M1 (3429 ng/ml and 17,116 ng·h/ml, respectively) were similar to those in humans (3180 ng/ml and 18,400 ng·h/ml, respectively). These results suggest that PBPK modeling incorporating pharmacokinetic parameters obtained with PXB-mice is useful for quantitatively predicting exposure to human disproportionate metabolites. SIGNIFICANCE STATEMENT: The quantitative prediction of human disproportionate metabolites remains challenging. This paper reports on a successful case study on the practical estimation of exposure (C max and AUC) to DS-1971a and its CYP2C8-dependent, human disproportionate metabolite M1, by PBPK simulation utilizing pharmacokinetic parameters obtained from PXB-mice and in vitro kinetics in human liver fractions. This work adds to the growing knowledge regarding metabolite exposure estimation by static and dynamic models.
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Affiliation(s)
- Daigo Asano
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Koichi Nakamura
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Yumi Nishiya
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Hideyuki Shiozawa
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Hideo Takakusa
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Takahiro Shibayama
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Shin-Ichi Inoue
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Tsuyoshi Shinozuka
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Takakazu Hamada
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Chizuko Yahara
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Nobuaki Watanabe
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
| | - Kouichi Yoshinari
- Drug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan (D.A., K.N., N.Y., H.S., H.T., T. Shibayama, S.-i.I., C.Y., N.W.), R&D Planning & Management Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T. Shinozuka), Research Function, Daiichi Sankyo Co., Ltd., Tokyo, Japan (T.H.), Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan (K.Y.)
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Cho CK, Kang P, Park HJ, Ko E, Mu CY, Lee YJ, Choi CI, Kim HS, Jang CG, Bae JW, Lee SY. Physiologically based pharmacokinetic (PBPK) modeling of piroxicam with regard to CYP2C9 genetic polymorphism. Arch Pharm Res 2022; 45:352-366. [PMID: 35639246 DOI: 10.1007/s12272-022-01388-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 05/20/2022] [Indexed: 01/12/2023]
Abstract
Piroxicam is a non-steroidal anti-inflammatory drug used to alleviate symptoms of osteoarthritis and rheumatoid arthritis. CYP2C9 genetic polymorphism significantly influences the pharmacokinetics of piroxicam. The objective of this study was to develop and validate the piroxicam physiologically based pharmacokinetic (PBPK) model related to CYP2C9 genetic polymorphism. PK-Sim® version 10.0 was used for the PBPK modeling. The PBPK model was evaluated by predicted and observed plasma concentration-time profiles, fold errors of predicted to observed pharmacokinetic parameters, and a goodness-of-fit plot. The turnover number (kcat) of CYP2C9 was adjusted to capture the pharmacokinetics of piroxicam in different CYP2C9 genotypes. The population PBPK model overall accurately described and predicted the plasma concentration-time profiles in different CYP2C9 genotypes. In our simulations, predicted AUCinf in CYP2C9*1/*2, CYP2C9*1/*3, and CYP2C9*3/*3 genotypes were 1.83-, 2.07-, and 6.43-fold higher than CYP2C9*1/*1 genotype, respectively. All fold error values for AUC, Cmax, and t1/2 were included in the acceptance criterion with the ranges of 0.57-1.59, 0.63-1.39, and 0.65-1.51, respectively. The range of fold error values for predicted versus observed plasma concentrations was 0.11-3.13. 93.9% of fold error values were within the two-fold range. Average fold error, absolute average fold error, and root mean square error were 0.93, 1.27, and 0.72, respectively. Our model accurately captured the pharmacokinetic alterations of piroxicam according to CYP2C9 genetic polymorphism.
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Affiliation(s)
- Chang-Keun Cho
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Pureum Kang
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Hye-Jung Park
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Eunvin Ko
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Chou Yen Mu
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yun Jeong Lee
- College of Pharmacy, Dankook University, Cheonan, 31116, Republic of Korea
| | - Chang-Ik Choi
- College of Pharmacy, Dongguk University-Seoul, Goyang, 10326, Republic of Korea
| | - Hyung Sik Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Choon-Gon Jang
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Jung-Woo Bae
- College of Pharmacy, Keimyung University, Daegu, 42601, Republic of Korea.
| | - Seok-Yong Lee
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
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