慢性自发性荨麻疹患者利利珠单抗的模型知情药物开发。

IF 3 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Andrzej Bienczak, Aurelie Gautier, Eva Hua, Yan Ji, Emil Scosyrev, Serge Smeets, Thomas Severin, Anton Drollmann, Manmath Patekar, Marina Savelieva
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引用次数: 0

摘要

基于模型的药物开发(MIDD)已越来越多地应用于指导决策、改善效率和提高试验成功的可能性。慢性自发性荨麻疹(CSU)的人源抗ige单克隆抗体ligelizumab的开发说明了MIDD如何应用于支持药物开发的核心方面,例如剂量选择和试验设计,儿科药物开发和外推,生成支持潜在标记的证据,优化治疗结果,以及增强患者可及性。在本文中,我们概述了lielizumab在CSU中开发的MIDD方法的关键建模和仿真分析,以及它们如何围绕2期和3期研究的中期和最终数据的可用性进行交错。此外,我们详细介绍了非线性混合效应模型,描述了利利珠单抗对青少年和成人CSU患者疗效的群体药代动力学和暴露-反应关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Informed Drug Development for Ligelizumab in Patients With Chronic Spontaneous Urticaria.

Model-informed drug development (MIDD) has been increasingly applied to guide decision-making, ameliorate efficiency, and enhance the likelihood of successful trials. The development of ligelizumab, a humanized anti-IgE monoclonal antibody, in chronic spontaneous urticaria (CSU) illustrated how MIDD can be applied to support central aspects of drug development, such as dose selection and trial design, pediatric drug development and extrapolation, generation of evidence to support potential labeling, optimizing treatment outcomes, and enhancing patient access. In this manuscript, we provide an overview of the key modeling and simulation analyses that were part of the MIDD approach for the development of ligelizumab in CSU and how they were staggered around the availability of interim and final data from the Phase 2 and Phase 3 studies. Furthermore, we present details of the non-linear mixed-effects models characterizing the population pharmacokinetics and exposure-response relationship of ligelizumab for efficacy in adolescent and adult patients with CSU.

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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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