标杆管理
药品
医学
药物开发
肝损伤
药物发现
动物模型
药理学
计算机科学
风险分析(工程)
生物信息学
生物
业务
内科学
营销
作者
Shivangi Shrimali,Minjun Chen,Dongying Li,Weida Tong
标识
DOI:10.1016/j.drudis.2025.104452
摘要
The FDA's 'Roadmap to Reducing Animal Testing in Preclinical Safety Studies' supports the regulatory advancement of new approach methodologies (NAMs). Focusing on overlapping drugs, this review compared the performance of in vitro NAMs, animal studies, and microphysiological systems (MPS) in predicting drug-induced liver injury (DILI). We observed considerable variability among in vitro NAMs and potential advantages over animal models. Moreover, limited MPS data hindered meaningful comparison. To enable objective and systematic assessment of NAMs, we propose DILIference, a curated reference drug list compiled from the literature to guide the development and benchmarking of DILI-predictive NAMs.
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