风险分析(工程)
制药工业
业务
风险评估
计算机科学
医学
工程类
药理学
计算机安全
作者
Andreas R. Baudy,Monicah A. Otieno,Philip Hewitt,Jinping Gan,Adrian Roth,Douglas A. Keller,Radhakrishna Sura,Terry R. Van Vleet,William R. Proctor
出处
期刊:Lab on a Chip
[The Royal Society of Chemistry]
日期:2019-11-20
卷期号:20 (2): 215-225
被引量:96
摘要
The liver is critical to consider during drug development because of its central role in the handling of xenobiotics, a process which often leads to localized and/or downstream tissue injury. Our ability to predict human clinical safety outcomes with animal testing is limited due to species differences in drug metabolism and disposition, while traditional human in vitro liver models often lack the necessary in vivo physiological fidelity. To address this, increasing numbers of liver microphysiological systems (MPS) are being developed, however the inconsistency in their optimization and characterization often leads to models that do not possess critical levels of baseline performance that is required for many pharmaceutical industry applications. Herein we provide a guidance on best approaches to benchmark liver MPS based on 3 stages of characterization that includes key performance metrics and a 20 compound safety test set. Additionally, we give an overview of frequently used liver injury safety assays, describe the ideal MPS model, and provide a perspective on currently best suited MPS contexts of use. This pharmaceutical industry guidance has been written to help MPS developers and end users identify what could be the most valuable models for safety risk assessment.
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