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Preliminary physiologically based pharmacokinetic modeling of renally cleared drugs in Chinese pregnant women.
Song, Ling; Yu, Zhiheng; Xu, Yifan; Li, Xiaobei; Liu, Xuanlin; Liu, Dongyang; Zhou, Tianyan.
Afiliação
  • Song L; Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
  • Yu Z; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
  • Xu Y; School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100191, China.
  • Li X; Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
  • Liu X; School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100191, China.
  • Liu D; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
  • Zhou T; Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Biopharm Drug Dispos ; 41(6): 248-267, 2020 Jun.
Article em En | MEDLINE | ID: mdl-32520400
AIM: The aim of this study was to build and verify a preliminary physiologically based pharmacokinetic (PBPK) model of Chinese pregnant women. The model was used to predict maternal pharmacokinetics (PK) of 6 predominantly renally cleared drugs. METHOD: Based on SimCYP Caucasian pregnancy population dataset, the preliminary Chinese pregnant population was built by updating several key parameters and equations according to physiological parameters of Chinese (or Japanese) pregnant women. Drug-specific parameters of 6 renally cleared drugs were validated through PBPK modeling of Caucasian non-pregnant, Caucasian pregnant and Chinese non-pregnant population. The preliminary PBPK model of Chinese pregnant population was then developed by integrating the preliminary Chinese pregnant population and the drug-specific parameters. This model was verified by comparing the predicted maternal PK of these 6 drugs with the observed in vivo data from the literature. RESULTS: The preliminary Chinese pregnant population PBPK model successfully predicted the PK of 6 target drugs for different pregnancy stages. The predicted plasma concentrations time profiles fitted the observed data well, and most predicted PK parameters were within 2-fold of observed data. CONCLUSIONS: The preliminary Chinese pregnant population PBPK model provided a useful tool to predict the maternal PK of 6 predominantly renally cleared drugs in Chinese pregnant women.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gravidez / Povo Asiático / Rim / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Biopharm Drug Dispos Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gravidez / Povo Asiático / Rim / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Biopharm Drug Dispos Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido