Di Li, Kerns Edward H, Ma Xuewen JoAnn, Huang Youping, Carter Guy T
Chemical and Screening Sciences, Wyeth Research, Princeton, NJ 08543, USA.
Comb Chem High Throughput Screen. 2008 Jul;11(6):469-76. doi: 10.2174/138620708784911429.
High throughput in vitro microsomal stability assays are widely used in drug discovery as an indicator for in vivo stability, which affects pharmacokinetics. This is based on in-depth research involving a limited number of model drug-like compounds that are cleared predominantly by cytochrome P450 metabolism. However, drug discovery compounds are often not drug-like, are assessed with high throughput assays, and have many potential uncharacterized in vivo clearance mechanisms. Therefore, it is important to determine the correlation between high throughput in vitro microsomal stability data and abbreviated discovery in vivo pharmacokinetics study data for a set of drug discovery compounds in order to have evidence for how the in vitro assay can be reliably applied by discovery teams for making critical decisions. In this study the relationship between in vitro single time point high throughput microsomal stability and in vivo clearance from abbreviated drug discovery pharmacokinetics studies was examined using 306 real world drug discovery compounds. The results showed that in vitro Phase I microsomal stability t(1/2) is significantly correlated to in vivo clearance with a p-value<0.001. For compounds with low in vitro rat microsomal stability (t(1/2)<15 min), 87% showed high clearance in vivo (CL>25 mL/min/kg). This demonstrates that high throughput microsomal stability data are very effective in identifying compounds with significant clearance liabilities in vivo. For compounds with high in vitro rat microsomal stability (t(1/2)>15 min), no significant differentiation was observed between high and low clearance compounds. This is likely owing to other clearance pathways, in addition to cytochrome P450 metabolism that enhances in vivo clearance. This finding supports the strategy used by medicinal chemists and drug discovery teams of applying the in vitro data to triage compounds for in vivo PK and efficacy studies and guide structural modification to improve metabolic stability. When in vitro and in vivo data are both available for a compound, potential in vivo clearance pathways can be diagnosed to guide further discovery studies.
高通量体外微粒体稳定性试验在药物研发中被广泛用作体内稳定性的指标,而体内稳定性会影响药物代谢动力学。这是基于对有限数量的类药物模型化合物进行的深入研究,这些化合物主要通过细胞色素P450代谢清除。然而,药物研发化合物通常并非类药物,是通过高通量试验进行评估的,并且具有许多潜在的未表征的体内清除机制。因此,确定一组药物研发化合物的高通量体外微粒体稳定性数据与简化的体内药物代谢动力学研究数据之间的相关性非常重要,以便为发现团队如何可靠地应用体外试验做出关键决策提供依据。在本研究中,使用306种实际的药物研发化合物研究了体外单时间点高通量微粒体稳定性与简化药物研发药代动力学研究中的体内清除之间的关系。结果表明,体外I相微粒体稳定性t(1/2)与体内清除显著相关,p值<0.001。对于体外大鼠微粒体稳定性低(t(1/2)<15分钟)的化合物,87%在体内显示出高清除率(CL>25 mL/min/kg)。这表明高通量微粒体稳定性数据在识别体内具有显著清除负担的化合物方面非常有效。对于体外大鼠微粒体稳定性高(t(1/2)>15分钟)的化合物,高清除率和低清除率化合物之间未观察到显著差异。这可能是由于除细胞色素P450代谢外的其他清除途径增强了体内清除。这一发现支持了药物化学家及药物研发团队将体外数据用于筛选化合物进行体内药代动力学和药效学研究,并指导结构修饰以提高代谢稳定性的策略。当一种化合物同时有体外和体内数据时,可以诊断潜在的体内清除途径以指导进一步的研发研究。