Your browser doesn't support javascript.
loading
Potential drug-drug interaction of olverembatinib (HQP1351) using physiologically based pharmacokinetic models.
Yu, Zhiheng; Lei, Zihan; Yao, Xueting; Wang, Hengbang; Zhang, Miao; Hou, Zhe; Li, Yafen; Zhao, Yangyu; Li, Haiyan; Liu, Dongyang; Zhai, Yifan.
Afiliação
  • Yu Z; Drug Clinical Trial Center, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
  • Lei Z; Center of Drug Metabolism and Pharmacokinetics, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China.
  • Yao X; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
  • Wang H; Drug Clinical Trial Center, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
  • Zhang M; Guangzhou Healthquest Pharma Co., Ltd, Guangzhou, China.
  • Hou Z; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
  • Li Y; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
  • Zhao Y; Center of Drug Metabolism and Pharmacokinetics, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China.
  • Li H; Drug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
  • Liu D; Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
  • Zhai Y; Drug Clinical Trial Center, Department of Cardiology and Institute of Vascular Medicine, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Front Pharmacol ; 13: 1065130, 2022.
Article em En | MEDLINE | ID: mdl-36582520
ABSTRACT
Olverembatinib (HQP1351) is a third-generation BCR-ABL tyrosine kinase inhibitor for the treatment of chronic myeloid leukemia (CML) (including T315I-mutant disease), exhibits drug-drug interaction (DDI) potential through cytochrome P450 (CYP) enzymes CYP3A4, CYP2C9, CYP2C19, CYP1A2, and CYP2B6. A physiologically-based pharmacokinetic (PBPK) model was constructed based on physicochemical and in vitro parameters, as well as clinical data to predict 1) potential DDIs between olverembatinib and CYP3A4 and CYP2C9 inhibitors or inducers 2), effects of olverembatinib on the exposure of CYP1A2, CYP2B6, CYP2C9, CYP2C19, and CYP3A4 substrates, and 3) pharmacokinetics in patients with liver function injury. The PBPK model successfully described observed plasma concentrations of olverembatinib from healthy subjects and patients with CML after a single administration, and predicted olverembatinib exposure increases when co-administered with itraconazole (strong CYP3A4 inhibitor) and decreases with rifampicin (strong CYP3A4 inducer), which were validated by observed data. The predicted results suggest that 1) strong, moderate, and mild CYP3A4 inhibitors (which have some overlap with CYP2C9 inhibitors) may increase olverembatinib exposure by approximately 2.39-, 1.80- to 2.39-, and 1.08-fold, respectively; strong, and moderate CYP3A4 inducers may decrease olverembatinib exposure by approximately 0.29-, and 0.35- to 0.56-fold, respectively 2); olverembatinib, as a "perpetrator," would have no or limited impact on CYP1A2, CYP2B6, CYP2C9, CYP2C19, and CYP3A4 enzyme activity 3); systemic exposure of olverembatinib in liver function injury with Child-Pugh A, B, C may increase by 1.22-, 1.79-, and 2.13-fold, respectively. These simulations inform DDI risk for olverembatinib as either a "victim" or "perpetrator".
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article