翻译双孔PBPK模型用于描述不同大小内源和外源蛋白的全身配置
Shufang Liu1, Yingyi Li2, Zhe Li2
1Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA. shufangl@buffalo.edu.
Journal of pharmacokinetics and pharmacodynamics
|May 1, 2024
概括
一个新的双孔生理学基础的药理动力学 (PBPK) 模型准确地预测了跨物种的多种蛋白疗法的行为. 这种转化模型通过表征蛋白质配置和告知剂量策略来增强生物的发展.
科学领域:
- 药理动力学和药理动力学
- 生物制药开发 生物制药开发
- 计算生物学 计算生物学
背景情况:
- 基于生理学的药理动力学 (PBPK) 模型对于预测药物行为至关重要.
- 现有的蛋白质药理动力学的双孔模型在验证多样性和物种间推断方面存在局限性.
研究的目的:
- 开发和优化一个翻译的双孔PBPK模型,用于描述各种蛋白质治疗的配置.
- 为了在不同物种,包括小鼠,老鼠,子和人类中实现准确的药理动力学预测.
主要方法:
- 开发了一种PBPK模型,结合了分子量依赖的外流,脏过和FcRn介导的保护.
- 使用超过15种不同的蛋白质类型的数据集验证了该模型,范围从IgG (150kDa) 到纳米体 (13kDa).
- 在模型中包括来自内源蛋白的FcRn结合竞争.
主要成果:
- 最终完成的PBPK模型准确地描述了大多数测试蛋白质的药理动力学,曲线下面的区域预测在两倍错误范围内.
- 该模型阐明了过,溶酶体降解和扩散机制 (细胞对细胞和细胞转移) 对蛋白质排放的贡献.
- 证明了PBPK模型的跨物种和跨模式适用性.
结论:
- 开发的翻译双孔PBPK模型为跨物种预测蛋白质药物配置提供了一个强大的平台.
- 这种模型可以通过提供可靠的药物动力学见解,显著帮助开发新生物疗法.
- 该模型预测蛋白质行为的能力支持药物开发和优化中的知情决策.
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