Mechanism-based pharmacokinetic and pharmacodynamic modeling for bispecific antibodies: challenges and opportunities

被引:2
|
作者
Niu, Jin [1 ]
Wang, Weirong [1 ]
Ouellet, Daniele [1 ,2 ]
机构
[1] Janssen Res & Dev, Clin Pharmacol & Pharmacometr, Spring House, PA USA
[2] Clin Pharmacol & Pharmacometr, Janssen Res & Dev Johnson & Johnson, 1400 McKean Rd, Bldg 32-10190, Spring House, PA 19477 USA
关键词
PK/PD; model-informed drug development; bispecific antibody; T-cell engager; target-mediated drug disposition (TMDD); MONOCLONAL-ANTIBODIES; BINDING; BIODISTRIBUTION; OPTIMIZATION; MEHD7945A; FRAGMENTS; DELIVERY; SAFETY; TUMORS; EGFR;
D O I
10.1080/17512433.2023.2257136
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
IntroductionUnlike conventional antibodies, bispecific antibodies (bsAbs) are engineered antibody- or antibody fragment-based molecules that can simultaneously recognize two different epitopes or antigens. Over the past decade, there has been an explosion of bsAbs being developed across therapeutic areas. Development of bsAbs presents unique challenges and mechanism-based pharmacokinetic/pharmacodynamic (PK/PD) modeling has served as a powerful tool to optimize their development and realize their clinical utility.Areas coveredIn this review, the guiding principles and case examples of how fit-for-purpose, mechanism-based PK/PD models have been applied to answer questions commonly encountered in bsAb development are presented. Such models characterize the key pharmacological elements of bsAbs, and they can be utilized for model-informed drug development. We also include the discussion of challenges, knowledge gaps and future direction for such models.Expert opinionMechanistic PK/PD modeling is a powerful tool to support the development of bsAbs. These models can be extrapolated to predict treatment outcomes based on mechanisms of action (MoA) and clinical observations to form positive learn-and-confirm cycles during drug development, due to their abilities to differentiate system- and drug-specific parameters. Meanwhile, the models should keep being adapted according to novel drug design and MoA, providing continuous opportunities for model-informed drug development.
引用
收藏
页码:977 / 990
页数:14
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