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大鼠体内多氯联苯混合物基于脂质的生理毒代动力学模型的贝叶斯分析

Bayesian Analysis of a Lipid-Based Physiologically Based Toxicokinetic Model for a Mixture of PCBs in Rats.

作者信息

Sasso Alan F, Georgopoulos Panos G, Isukapalli Sastry S, Krishnan Kannan

机构信息

Environmental and Occupational Health Sciences Institute, UMDNJ-RW Johnson Medical School, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA.

出版信息

J Toxicol. 2012;2012:895391. doi: 10.1155/2012/895391. Epub 2012 Jan 19.

DOI:10.1155/2012/895391
PMID:22315591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3270437/
Abstract

A lipid-based physiologically based toxicokinetic (PBTK) model has been developed for a mixture of six polychlorinated biphenyls (PCBs) in rats. The aim of this study was to apply population Bayesian analysis to a lipid PBTK model, while incorporating an internal exposure-response model linking enzyme induction and metabolic rate. Lipid-based physiologically based toxicokinetic models are a subset of PBTK models that can simulate concentrations of highly lipophilic compounds in tissue lipids, without the need for partition coefficients. A hierarchical treatment of population metabolic parameters and a CYP450 induction model were incorporated into the lipid-based PBTK framework, and Markov-Chain Monte Carlo was applied to in vivo data. A mass balance of CYP1A and CYP2B in the liver was necessary to model PCB metabolism at high doses. The linked PBTK/induction model remained on a lipid basis and was capable of modeling PCB concentrations in multiple tissues for all dose levels and dose profiles.

摘要

已针对大鼠体内六种多氯联苯(PCB)的混合物建立了基于脂质的生理药代动力学(PBTK)模型。本研究的目的是将群体贝叶斯分析应用于脂质PBTK模型,同时纳入一个将酶诱导与代谢率联系起来的内部暴露-反应模型。基于脂质的生理药代动力学模型是PBTK模型的一个子集,它可以模拟组织脂质中高度亲脂性化合物的浓度,而无需分配系数。将群体代谢参数的分层处理和CYP450诱导模型纳入基于脂质的PBTK框架,并将马尔可夫链蒙特卡罗方法应用于体内数据。为了对高剂量下的PCB代谢进行建模,肝脏中CYP1A和CYP2B的质量平衡是必要的。链接的PBTK/诱导模型仍然基于脂质,并且能够对所有剂量水平和剂量曲线下多种组织中的PCB浓度进行建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/8a62bdc6ba0b/JT2012-895391.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/4db4be25cfa0/JT2012-895391.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/9a4d840ef628/JT2012-895391.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/2f05186312f4/JT2012-895391.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/4e3906a4be4c/JT2012-895391.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/8a62bdc6ba0b/JT2012-895391.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/4db4be25cfa0/JT2012-895391.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/9a4d840ef628/JT2012-895391.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/2f05186312f4/JT2012-895391.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/4e3906a4be4c/JT2012-895391.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dffe/3270437/8a62bdc6ba0b/JT2012-895391.005.jpg

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