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有效地将药理学模型转化为预测治疗效果。

Translating pharmacology models effectively to predict therapeutic benefit.

机构信息

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

出版信息

Drug Discov Today. 2022 Jun;27(6):1604-1621. doi: 10.1016/j.drudis.2022.03.009. Epub 2022 Mar 15.

Abstract

Many in vitro and in vivo models are used in pharmacological research to evaluate the role of targeted proteins in a disease. Understanding the translational relevance and limitation of these models for analyzing a drug's disposition, pharmacokinetic/pharmacodynamic (PK/PD) profile, mechanism, and efficacy, is essential when selecting the most appropriate model of the disease of interest and predicting clinically efficacious doses of the investigational drug. Selected animal models used in ophthalmology, infectious diseases, oncology, autoimmune diseases, and neuroscience are reviewed here. Each area has specific challenges around translatability and determination of an efficacious dose: new patient-specific dosing methods may help overcome these limitations.

摘要

在药理学研究中,许多体外和体内模型被用于评估靶向蛋白在疾病中的作用。了解这些模型在分析药物处置、药代动力学/药效学(PK/PD)特征、机制和疗效方面的转化相关性和局限性,对于选择最适合研究药物的疾病模型和预测临床有效剂量非常重要。本文综述了在眼科、传染病、肿瘤学、自身免疫性疾病和神经科学中使用的选定动物模型。每个领域都存在可转化性和确定有效剂量方面的具体挑战:新的患者特异性给药方法可能有助于克服这些局限性。

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