Exploring pharmacokinetics of talazoparib in ABCB1/ABCG2-deficient mice using a novel UHPLC-MS/MS method

使用新型 UHPLC-MS/MS 方法探索他拉唑帕尼在 ABCB1/ABCG2 缺陷小鼠中的药代动力学

阅读:5
作者:Zahra Talebi, Dominique A Garrison, Eric D Eisenmann, Kalindi Parmar, Geoffrey I Shapiro, Michelle A Rudek, Alex Sparreboom, Yan Jin

Abstract

A rapid, sensitive, and simple UHPLC-MS/MS method for the determination of the PARP inhibitor talazoparib in mouse plasma was developed and validated using [13C,2H4]-talazoparib as an internal standard (IS). The assay procedure involved extraction of talazoparib and the IS from plasma using a single-step deproteination and separation of the analytes was achieved on an ACQUITY UPLC RP18 HSS T3 column with a mobile phase gradient at a flow rate of 0.4 mL/min in a run time of 5 min. The calibration curve was linear (r2 > 0.99) over the concentration range of 0.5-100 ng/mL, and 10-fold dilution of samples could be accurately quantitated. The matrix effect and mean extraction recovery for talazoparib were between 93.7-109% and 87.7-105%, respectively. Precision and percent bias of quality control samples were always less than ±15%, indicating reproducibility and accuracy of the method. Talazoparib demonstrated bench-top stability at room temperature for 6 h, auto-sampler and reinjection stability at 4 °C for at least 24 h, and no significant degradation was observed after three freeze-thaw cycles. The developed method was successfully applied to pharmacokinetic studies involving serial blood sampling after oral administration of talazoparib to wild-type mice and animals with a genetic deficiency of the efflux transporters ABCB1 (P-gp) and ABCG2 (BCRP). Together, our results demonstrate the successful development of a suitable analytical method for talazoparib in mouse plasma and suggest that mice are a useful model to evaluate transporter-mediated drug-drug interactions involving therapy with talazoparib.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。