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DOI 10.1016/j.jpha.2024.101175

Медицинская библиотека · Journal of pharmaceutical analysis · 2024

Characterization of preclinical radio ADME properties of ARV-471 for predicting human PK using PBPK modeling.

He Yifei, Zhu Chenggu, Lei Peng, Yang Chen, Zhang Yifan, Zheng Yuandong, Diao Xingxing

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Аннотация

Proteolysis-targeting chimeras (PROTACs) represent a promising class of drugs that can target disease-causing proteins more effectively than traditional small molecule inhibitors can, potentially revolutionizing drug discovery and treatment strategies. However, the links between in vitro and in vivo data are poorly understood, hindering a comprehensive understanding of the absorption, distribution, metabolism, and excretion (ADME) of PROTACs. In this work, 14C-labeled vepdegestrant (ARV-471), which is currently in phase III clinical trials for breast cancer, was synthesized as a model PROTAC to characterize its preclinical ADME properties and simulate its clinical pharmacokinetics (PK) by establishing a physiologically based pharmacokinetics (PBPK) model. For in vitro-in vivo extrapolation (IVIVE), hepatocyte clearance correlated more closely with in vivo rat PK data than liver microsomal clearance did. PBPK models, which were initially developed and validated in rats, accurately simulate ARV-471's PK across fed and fasted states, with parameters within 1.75-fold of the observed values. Human models, informed by in vitro ADME data, closely mirrored postoral dose plasma profiles at 30 mg. Furthermore, no human-specific metabolites were identified in vitro and the metabolic profile of rats could overlap that of humans. This work presents a roadmap for developing future PROTAC medications by elucidating the correlation between in vitro and in vivo characteristics.

Для цитирования: He Yifei, Zhu Chenggu, Lei Peng, Yang Chen, Zhang Yifan, Zheng Yuandong, Diao Xingxing. Characterization of preclinical radio ADME properties of ARV-471 for predicting human PK using PBPK modeling.. Journal of pharmaceutical analysis. 2024. DOI: 10.1016/j.jpha.2024.101175.
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