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应用外排比-相对表达因子法和 PBPK 模型预测双重 BCRP/P-gp 底物的胎儿暴露

Successful Prediction of Fetal Exposure to Dual BCRP/P-gp Drug Substrates Using the Efflux Ratio-Relative Expression Factor Approach and PBPK M&S.

机构信息

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

出版信息

Clin Pharmacol Ther. 2024 May;115(5):1044-1053. doi: 10.1002/cpt.3157. Epub 2024 Jan 8.

DOI:10.1002/cpt.3157
PMID:38124355
Abstract

To inform fetal drug safety, it is important to determine or predict fetal drug exposure throughout pregnancy. The former is not possible in the first or second trimester. In contrast, at the time of birth, fetal drug exposure, relative to maternal exposure, can be estimated as K (unbound fetal umbilical venous (UV) plasma area under the curve (AUC)/unbound maternal plasma (MP) AUC), provided the observed UV/MP values, spanning the dosing interval, are available from multiple maternal-fetal dyads. However, this fetal K cannot be extrapolated to other drugs. To overcome the above limitations, we have used an efflux ratio-relative expression factor (ER-REF) approach to successfully predict the fetal K of P-gp substrates. Because many drugs taken by pregnant people are also BCRP substrates, here, we extend this approach to drugs that are effluxed by both placental BCRP and P-gp or P-gp alone. To verify our predictions, we chose drugs for which UV/MP data were available at term: glyburide and imatinib (both BCRP and P-gp substrates) and nelfinavir (only P-gp substrate). First, the ER of the drugs was determined using Transwells and MDCKII cells expressing either BCRP or P-gp. Then, the ER was scaled using the proteomics-informed REF value to predict the fetal K of the drug at term. The ER-REF predicted fetal K of glyburide (0.43), imatinib (0.42), and nelfinavir (0.40) fell within two-fold of the corresponding in vivo fetal K (0.44, 0.37, and 0.46, respectively). These data confirm that the ER-REF approach can successfully predict fetal drug exposure to BCRP/P-gp and P-gp substrates, at term.

摘要

为了了解胎儿的药物安全性,确定或预测整个孕期的胎儿药物暴露情况非常重要。前者在第一或第二孕期是不可能的。相比之下,在出生时,可以根据多个母婴对的观察到的跨剂量间隔的 UV/MP 值,来估计胎儿药物暴露相对于母体暴露的情况,将其表示为 K(未结合胎儿脐静脉(UV)血浆 AUC/未结合母体血浆(MP)AUC)。然而,这种胎儿 K 不能外推到其他药物。为了克服上述限制,我们使用外排比-相对表达因子(ER-REF)方法成功预测了 P-糖蛋白底物的胎儿 K。由于许多孕妇服用的药物也是 BCRP 的底物,因此,我们将这种方法扩展到由胎盘 BCRP 和 P-糖蛋白或 P-糖蛋白单独外排的药物。为了验证我们的预测,我们选择了在足月时有 UV/MP 数据的药物:格列吡嗪和伊马替尼(BCRP 和 P-糖蛋白的底物)和奈非那韦(仅 P-糖蛋白的底物)。首先,使用表达 BCRP 或 P-糖蛋白的 Transwell 和 MDCKII 细胞确定药物的 ER。然后,使用基于蛋白质组学的 REF 值对 ER 进行缩放,以预测药物在足月时的胎儿 K。ER-REF 预测的格列吡嗪(0.43)、伊马替尼(0.42)和奈非那韦(0.40)的胎儿 K 值在体内相应的胎儿 K 值(0.44、0.37 和 0.46)的两倍以内。这些数据证实了 ER-REF 方法可以成功预测 BCRP/P-糖蛋白和 P-糖蛋白底物在足月时的胎儿药物暴露情况。

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