Wright Peter S R, Briggs Katharine A, Thomas Robert, Smith Graham F, Maglennon Gareth, Mikulskis Paulius, Chapman Melissa, Greene Nigel, Phillips Benjamin U, Bender Andreas
University of Cambridge, Centre for Molecular Science Informatics, Department of Chemistry, Cambridge, United Kingdom.
Lhasa Limited, Leeds, United Kingdom.
Regul Toxicol Pharmacol. 2023 Feb;138:105308. doi: 10.1016/j.yrtph.2022.105308. Epub 2022 Dec 5.
Preclinical inter-species concordance can increase the predictivity of observations to the clinic, potentially reducing drug attrition caused by unforeseen adverse events. We quantified inter-species concordance of histopathological findings and target organ toxicities across four preclinical species in the eTOX database using likelihood ratios (LRs). This was done whilst only comparing findings between studies with similar compound exposure (Δ|C| ≤ 1 log-unit), repeat-dosing duration, and animals of the same sex. We discovered 24 previously unreported significant inter-species associations between histopathological findings encoded by the HPATH ontology. More associations with strong positive concordance (33% LR+ > 10) relative to strong negative concordance (12.5% LR- < 0.1) were identified. Of the top 10 most positively concordant associations, 60% were computed between different histopathological findings indicating potential differences in inter-species pathogenesis. We also observed low inter-species target organ toxicity concordance. For example, liver toxicity concordance in short-term studies between female rats and dogs observed an average LR+ of 1.84, and an average LR- of 0.73. This was corroborated by similarly low concordance between rodents and non-rodents for 75 candidate drugs in AstraZeneca. This work provides new statistically significant associations between preclinical species, but finds that concordance is rare, particularly between the absence of findings.
临床前种间一致性可以提高观察结果对临床的预测性,有可能减少由不可预见的不良事件导致的药物研发失败。我们使用似然比(LRs)对eTOX数据库中四个临床前物种的组织病理学发现和靶器官毒性的种间一致性进行了量化。在进行此操作时,仅比较具有相似化合物暴露(Δ|C|≤1对数单位)、重复给药持续时间以及相同性别的动物的研究之间的结果。我们发现了由HPATH本体编码的组织病理学发现之间24个先前未报告的显著种间关联。相对于强负一致性(12.5% LR-<0.1),发现了更多具有强正一致性(33% LR+>10)的关联。在最具正一致性的前10个关联中,60%是在不同的组织病理学发现之间计算得出的,这表明种间发病机制存在潜在差异。我们还观察到种间靶器官毒性一致性较低。例如,雌性大鼠和犬短期研究中的肝脏毒性一致性平均LR+为1.84,平均LR-为0.73。阿斯利康75种候选药物在啮齿动物和非啮齿动物之间的一致性同样较低,这证实了上述结果。这项工作提供了临床前物种之间新的具有统计学意义的关联,但发现一致性很少见,尤其是在无发现之间。