Predicting clearance with simple and permeability-limited PBPK frameworks: comparison of well-stirred, dispersion and parallel tube liver models.

基于生理学的药代动力学模型 肝细胞 化学 微粒体 磁导率 体内 药代动力学 生物物理学 体外 生物化学 药理学 生物 生物技术
作者
Swati Nagar,Rachel Parise,Ken Korzekwa
出处
期刊:Drug Metabolism and Disposition [American Society for Pharmacology and Experimental Therapeutics]
卷期号:52 (10): 1060-1072 被引量:2
标识
DOI:10.1124/dmd.124.001782
摘要

One-compartment (1C) and permeability-limited models were used to evaluate the ability of microsomal and hepatocyte intrinsic clearances to predict hepatic clearance. Well-stirred (WSM), parallel tube (PTM), and dispersion (DM) models were evaluated within the liver as well as within whole-body physiologically based pharmacokinetic frameworks. It was shown that a linear combination of well-stirred and parallel-tube average liver blood concentrations accurately approximates dispersion model blood concentrations. Using a flow/permeability-limited model, a large systematic error was observed for acids and no systematic error for bases. A scaling factor that reduced interstitial fluid (ISF) plasma protein binding could greatly decrease the absolute average-fold error (AAFE) for acids. Using a 1C model, a scalar to reduce plasma protein binding decreased the microsomal clearance AAFE for both acids and bases. With a permeability-limited model, only acids required this scalar. The mechanism of the apparent increased cytosolic concentrations for acids remains unknown. We also show that for hepatocyte intrinsic clearance in vitro-in vivo correlations (IVIVCs), a 1C model is mechanistically appropriate since hepatocyte clearance should represent the net clearance from ISF to elimination. A relationship was derived that uses microsomal and hepatocyte intrinsic clearance to solve for an active hepatic uptake clearance, but the results were inconclusive. Finally, the PTM model generally performed better than the WSM or DM models, with no clear advantage between microsomes and hepatocytes. Significance Statement Prediction of drug clearance from microsomes or hepatocytes remains challenging. Various liver models (e.g. WSM, PTM, and DM) have been mathematically incorporated into liver as well as whole-body PBPK frameworks. Although the resulting models allow incorporation of pH partitioning, permeability, and active uptake for prediction of drug clearance, including these processes did not improve clearance predictions for both microsomes and hepatocytes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
坚定的奇异果完成签到,获得积分20
刚刚
cdw发布了新的文献求助10
刚刚
1秒前
Shiyao_Yuan发布了新的文献求助10
1秒前
SciGPT应助哈哈哈采纳,获得10
3秒前
巷子里的喵完成签到,获得积分20
3秒前
科研通AI6.2应助gold_sheep采纳,获得10
4秒前
脑洞疼应助不安惜萱采纳,获得10
5秒前
CodeCraft应助cdw采纳,获得10
5秒前
6秒前
我就喜欢你完成签到 ,获得积分10
8秒前
8秒前
8秒前
代沁发布了新的文献求助10
10秒前
完美世界应助xuhang采纳,获得10
10秒前
啊哈发布了新的文献求助10
12秒前
seven完成签到,获得积分10
12秒前
小二郎应助不安惜萱采纳,获得10
12秒前
在水一方应助小梁采纳,获得10
13秒前
13秒前
13秒前
所所应助小梁采纳,获得10
13秒前
Owen应助小梁采纳,获得10
14秒前
大模型应助小梁采纳,获得10
14秒前
molihuakai应助小梁采纳,获得10
14秒前
所所应助小梁采纳,获得10
14秒前
汪洋发布了新的文献求助10
15秒前
AAA完成签到,获得积分10
17秒前
Str完成签到,获得积分10
18秒前
Banana完成签到,获得积分10
19秒前
20秒前
20秒前
fengmy完成签到,获得积分10
21秒前
JamesPei应助不安惜萱采纳,获得10
21秒前
Z_Z完成签到,获得积分10
21秒前
yyy完成签到,获得积分10
22秒前
22秒前
英俊的酬海完成签到,获得积分10
22秒前
啊哈完成签到,获得积分20
23秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7641947
求助须知:如何正确求助?哪些是违规求助? 9215080
关于积分的说明 19767527
捐赠科研通 7207484
什么是DOI,文献DOI怎么找? 3276290
关于科研通互助平台的介绍 2438062
邀请新用户注册赠送积分活动 2274055