Monticello Thomas M, Jones Thomas W, Dambach Donna M, Potter David M, Bolt Michael W, Liu Maggie, Keller Douglas A, Hart Timothy K, Kadambi Vivek J
Comparative Biology and Safety Sciences, Amgen, Thousand Oaks, CA 91320, USA.
Eli Lilly and Company, Indianapolis, IN 46285, USA.
Toxicol Appl Pharmacol. 2017 Nov 1;334:100-109. doi: 10.1016/j.taap.2017.09.006. Epub 2017 Sep 8.
The contribution of animal testing in drug development has been widely debated and challenged. An industry-wide nonclinical to clinical translational database was created to determine how safety assessments in animal models translate to First-In-Human clinical risk. The blinded database was composed of 182 molecules and contained animal toxicology data coupled with clinical observations from phase I human studies. Animal and clinical data were categorized by organ system and correlations determined. The 2×2 contingency table (true positive, false positive, true negative, false negative) was used for statistical analysis. Sensitivity was 48% with a 43% positive predictive value (PPV). The nonhuman primate had the strongest performance in predicting adverse effects, especially for gastrointestinal and nervous system categories. When the same target organ was identified in both the rodent and nonrodent, the PPV increased. Specificity was 84% with an 86% negative predictive value (NPV). The beagle dog had the strongest performance in predicting an absence of clinical adverse effects. If no target organ toxicity was observed in either test species, the NPV increased. While nonclinical studies can demonstrate great value in the PPV for certain species and organ categories, the NPV was the stronger predictive performance measure across test species and target organs indicating that an absence of toxicity in animal studies strongly predicts a similar outcome in the clinic. These results support the current regulatory paradigm of animal testing in supporting safe entry to clinical trials and provide context for emerging alternate models.
动物试验在药物研发中的作用一直备受广泛争议和质疑。创建了一个全行业的非临床到临床转化数据库,以确定动物模型中的安全性评估如何转化为首次人体临床试验风险。这个盲态数据库由182种分子组成,包含动物毒理学数据以及来自I期人体研究的临床观察结果。动物和临床数据按器官系统分类并确定相关性。采用2×2列联表(真阳性、假阳性、真阴性、假阴性)进行统计分析。敏感性为48%,阳性预测值(PPV)为43%。非人灵长类动物在预测不良反应方面表现最强,尤其是在胃肠道和神经系统类别方面。当在啮齿动物和非啮齿动物中都识别出相同的靶器官时,PPV会增加。特异性为84%,阴性预测值(NPV)为86%。比格犬在预测无临床不良反应方面表现最强。如果在任何一个试验物种中都未观察到靶器官毒性,NPV会增加。虽然非临床研究在某些物种和器官类别中PPV方面可显示出巨大价值,但NPV是跨试验物种和靶器官更强的预测性能指标,表明动物研究中无毒性强烈预示着临床中会有类似结果。这些结果支持了当前动物试验在支持安全进入临床试验方面的监管范式,并为新兴的替代模型提供了背景信息。