Prediction of Interspecies Translation for Targeting Delivery Coefficients of GalNAc-siRNA Silencing Apolipoprotein C-III Using a Mechanistic Minimal Physiologically Based Pharmacokinetic/Pharmacodynamic Model.

IF 4.6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Clinical Pharmacokinetics Pub Date : 2025-06-01 Epub Date: 2025-05-03 DOI:10.1007/s40262-025-01513-4
Zhiteng Tian, Hui Luo, Yantao Chu, Yanhong Liu, Shan Gao, Ling Song, Zhenzhen Yang, Dongyang Liu
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引用次数: 0

Abstract

Background and objective: The emerging N-acetylgalactosamine-small interfering RNA (GalNAc-siRNA) conjugates lead the way for liver-targeting delivery to exert gene-silencing therapeutic effects. To facilitate the drug development of GalNAc-siRNA, further detailed understanding of the key modality-specific mechanisms underlying the temporal discordance between pharmacokinetics and pharmacodynamics and how these processes can be extrapolated from animals to humans is needed.

Methods: A mechanistic minimal physiologically based pharmacokinetic/pharmacodynamic (mPBPK-PD) model for an investigational new apolipoprotein C-III (APOC3)-silencing GalNAc-siRNA (RBD5044) was developed using available pharmacokinetic/pharmacodynamic (PK/PD) data. The aim was to explore hepatic-targeting delivery processes, the PK/PD relationship, and interspecies translation.

Results: First, multiple PK/PD datasets from mice were satisfactorily fitted using the mPBPK-PD model. Second, we translated the mice model to the monkey model, validated it, and then extrapolated from mice and monkeys to humans to simulate the PK/PD characteristics. We then mechanistically summarized and proposed the essential in vivo delivery processes of GalNAc-siRNA after subcutaneous administration (termed "ADUEB": Absorption [into system circulation], Disposition [distribution to liver target and elimination], Uptake [into hepatocytes], Escape [from endosome and lysosome compartments], and Binding [with argonaute2 to form RNA-induced silencing complex]). The targeting delivery coefficients of these processes achieved with the model using RBD5044 and the published data of another GalNAc-siRNA (fitusiran) quantitatively reflected the delivery efficiency and rate-limiting factors in targeted hepatocytes.

Conclusion: This study successfully constructed the mPBPK-PD model and conducted interspecies extrapolation for a GalNAc-siRNA targeting APOC3. Promising quantitative insights into a hepatic-targeted GalNAc-siRNA delivery system are provided to characterize the unique temporal disconnection of PK/PD properties and evaluate the key in vivo delivery processes. It will promote model-informed strategies and quantitative mechanistic understanding to support efficient drug development, evaluation, and clinical application of this modality in the future.

基于最小生理机制的药代动力学/药效学模型预测GalNAc-siRNA沉默载脂蛋白C-III靶向递送系数的种间翻译
背景与目的:新兴的n -乙酰半乳糖胺小干扰RNA (GalNAc-siRNA)偶联物为肝脏靶向递送发挥基因沉默治疗作用开辟了道路。为了促进GalNAc-siRNA的药物开发,需要进一步详细了解药代动力学和药效学之间时间不一致的关键模式特异性机制,以及如何将这些过程从动物推断到人类。方法:利用现有的药代动力学/药效学(PK/PD)数据,建立了一种新的载脂蛋白C-III (APOC3)沉默GalNAc-siRNA (RBD5044)的机制最小生理药代动力学/药效学(mPBPK-PD)模型。目的是探索肝脏靶向递送过程,PK/PD关系和种间翻译。结果:首先,小鼠的多个PK/PD数据集使用mPBPK-PD模型得到了满意的拟合。其次,我们将小鼠模型翻译到猴子模型中进行验证,然后从小鼠和猴子外推到人类,模拟PK/PD特性。然后,我们从机制上总结并提出了皮下给药后GalNAc-siRNA的基本体内递送过程(称为ADUEB):吸收[进入系统循环],处置[分布到肝脏靶点并消除],摄取[进入肝细胞],逃逸[从内核体和溶酶体室],结合[与argonaute2形成rna诱导的沉默复合物])。使用RBD5044和另一种GalNAc-siRNA (fitusiran)的已发表数据的模型获得的这些过程的靶向递送系数定量反映了靶向肝细胞的递送效率和限速因素。结论:本研究成功构建了mPBPK-PD模型,并对靶向APOC3的GalNAc-siRNA进行了种间外推。为肝脏靶向GalNAc-siRNA递送系统提供了有希望的定量见解,以表征PK/PD特性的独特时间中断,并评估关键的体内递送过程。它将促进基于模型的策略和定量机制的理解,以支持未来有效的药物开发、评估和该模式的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.80
自引率
4.40%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics. Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.
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