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在体-体外外推和清除人类和临床前物种的肝微粒体和肝细胞的比例因子。

In Vitro-In Vivo Extrapolation and Scaling Factors for Clearance of Human and Preclinical Species with Liver Microsomes and Hepatocytes.

机构信息

Modeling and Simulation, Pfizer Worldwide Research and Development, Cambridge, MA, USA.

Modeling and Simulation, Pfizer Worldwide Research and Development, Groton, CT, USA.

出版信息

AAPS J. 2023 Apr 13;25(3):40. doi: 10.1208/s12248-023-00800-x.

Abstract

In vitro-in vivo extrapolation ((IVIVE) and empirical scaling factors (SF) of human intrinsic clearance (CL) were developed using one of the largest dataset of 455 compounds with data from human liver microsomes (HLM) and human hepatocytes (HHEP). For extended clearance classification system (ECCS) class 2/4 compounds, linear SFs (SF) are approximately 1, suggesting enzyme activities in HLM and HHEP are similar to those in vivo under physiological conditions. For ECCS class 1A/1B compounds, a unified set of SFs was developed for CL. These SFs contain both SF and an exponential SF (SF) of fraction unbound in plasma (f). The unified SFs for class 1A/1B eliminate the need to identify the transporters involved prior to clearance prediction. The underlying mechanisms of these SFs are not entirely clear at this point, but they serve practical purposes to reduce biases and increase prediction accuracy. Similar SFs have also been developed for preclinical species. For HLM-HHEP disconnect (HLM > HHEP) ECCS class 2/4 compounds that are mainly metabolized by cytochrome P450s/FMO, HLM significantly overpredicted in vivo CL, while HHEP slightly underpredicted and geometric mean of HLM and HHEP slightly overpredicted in vivo CL This observation is different than in rats, where rat liver microsomal CL correlates well with in vivo CL for compounds demonstrating permeability-limited metabolism. The good CL IVIVE developed using HLM and HHEP helps build confidence for prospective predictions of human clearance and supports the continued utilization of these assays to guide structure-activity relationships to improve metabolic stability.

摘要

采用包含 455 种化合物的最大数据集之一,建立了人肝微粒体(HLM)和人肝细胞(HHEP)数据的人内在清除率(CL)的体外-体内外推法(IVIVE)和经验性缩放因子(SF)。对于扩展清除分类系统(ECCS)第 2/4 类化合物,线性 SF(SF)约为 1,表明在生理条件下,HLM 和 HHEP 中的酶活性与体内相似。对于 ECCS 第 1A/1B 类化合物,开发了用于 CL 的统一 SF。这些 SF 包含 SF 和血浆中未结合分数的指数 SF(SF)。1A/1B 类的统一 SF 消除了在进行清除预测之前识别参与的转运体的需要。目前,这些 SF 的潜在机制尚不完全清楚,但它们具有实用目的,可以减少偏差并提高预测准确性。在临床前物种中也开发了类似的 SF。对于 HLM-HHEP 失连(HLM>HHEP)ECCS 第 2/4 类化合物,主要由细胞色素 P450/FMO 代谢,HLM 对体内 CL 的预测过高,而 HHEP 则略有低估,HLM 和 HHEP 的几何平均值略高于体内 CL 的预测。这一观察结果与大鼠不同,大鼠肝微粒体 CL 与表现出通透性限制代谢的化合物的体内 CL 相关性良好。使用 HLM 和 HHEP 进行的良好 CL IVIVE 有助于对人体清除率进行前瞻性预测建立信心,并支持继续利用这些测定法来指导结构-活性关系,以提高代谢稳定性。

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