开发一种机械翻译PK/PD模型,用于三功能NK细胞参与者,以预测急性髓性白血病的首剂量
Siak-Leng Choi1, Delphine Valente1, Angela Virone-Oddos2
1Sanofi, DMPK, Paris, France.
Clinical and translational science
|November 22, 2023
概括
研究人员开发了一种用于自然杀手细胞参与者 (NKCE) 的新型转化模型,以估计首次人体剂量. 该模型整合了体外和体内数据,以预测CD123-NKCEs的临床结果,推进先天免疫疗法.
科学领域:
- 免疫学 免疫学 免疫学
- 药理学 药理学是指药理学的学科.
- 翻译医学是一种翻译医学.
背景情况:
- 自然杀手细胞参与剂 (NKCEs) 在刺激先天免疫力方面表现有前途,具有有利的安全性和有效性.
- NK细胞的激活依赖于药物,NK细胞和瘤细胞之间的免疫突触形成.
- 缺乏一个清晰的转化建模方法,用于第一次在人体 (FIH) 人性化NKCE的剂量估计.
研究的目的:
- 为三功能NKp46/CD16a-CD123 (CD123-NKCE) 开发第一个转化力学突触驱动的药物动力学/药物动力学 (PK/PD) 模型.
- 为了估计CD123-NKCE的FIH试验的起始剂量.
主要方法:
- 来自非人类灵长类动物PK和免疫细胞样本的MOLM-13细胞系的综合体内细胞毒性数据.
- 纳入了健康人体和急性髓性白血病患者特异性参数.
- 开发了一个没有过境区的PK/PD模型,以代表通过天生的免疫直接杀死瘤细胞.
主要成果:
- 模型预测支持每周两次为FIH起始剂量增加10/30/100μg/kg的内科剂量.
- 敏感性分析确定了CD123+细胞生长率和最大瘤杀死率作为关键的不确定性.
- 该模型为预测CD123-NKCE的临床PK/PD数据提供了基础.
结论:
- 开发的转化模型是首个针对突触驱动的NKCE的转化模型.
- 这种新的翻译策略可以指导NKCE开发的未来进展.
- 该模型促进了临床PK/PD数据的预测,支持CD123-NKCEs的进步.
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