动物试验
临床前试验
动物模型
毒理
计算机科学
风险分析(工程)
生物
医学
生物信息学
生态学
内分泌学
作者
Muhammad Nur Hamizan Khabib,Yogeethaa Sivasanku,Hong Boon Lee,Suresh Kumar,Chin Siang Kue
出处
期刊:Toxicology
[Elsevier]
日期:2021-11-24
卷期号:465: 153053-153053
被引量:38
标识
DOI:10.1016/j.tox.2021.153053
摘要
Toxicity testing relies heavily on animals, especially rodents as part of the non-clinical laboratory testing of substances. However, the use of mammalians and the number of animals employed in research has become a concern for institutional ethics committees. Toxicity testing involving rodents and other mammals is laborious and costly. Alternatively, non-rodent models are used as replacement, as they have less ethical considerations and are cost-effective. Of the many alternative models that can be used as replacement models, which ones can be used in predictive toxicology? What is the correlation between these models and rodents? Are there standardized protocols governing the toxicity testing of these commonly used predictive models? This review outlines the common alternative animal models for predictive toxicology to address the importance of these models, the challenges, and their standard testing protocols.
科研通智能强力驱动
Strongly Powered by AbleSci AI