毒物动力学
分布(数学)
环境化学
环境科学
化学
生化工程
药理学
药代动力学
生物
工程类
数学
数学分析
作者
Fabian C. Fischer,Colin P. Thackray,Neil Ferguson,Christian Chicoine,Olga Skende,Z Hu,Yumin Zhu,Angela L. Slitt,Elsie M. Sunderland
标识
DOI:10.1021/acs.est.5c05473
摘要
Exposures to some per- and polyfluoroalkyl substances (PFAS), including perfluoroalkyl acids (PFAA), have been associated with diverse adverse health effects. Physicochemical properties of PFAA are known to influence their toxicokinetics in mammals, but mechanistic models capable of identifying the key drivers of absorption, distribution, and elimination are limited. Here, we develop and evaluate a physiologically based toxicokinetic (PBTK) model parameterized to an in vivo mouse model using data from in vitro studies. We simulated tissue concentrations of 9 PFAA with perfluorinated carbon chains (ηpfc) ranging from 4 to 10 in wild-type mice, and for perfluorooctanesulfonic acid in knockout mice, following intravenous and oral exposures. The PBTK model quantifies blood flow, binding to tissue proteins and phospholipids, membrane permeability, hepatic and renal transporters, and fecal and urinary excretion. Model evaluation comparing experimental and simulated mice blood and tissue concentrations showed R2 values of ≥ 0.65 and relative root-mean-square errors of ≤ 122% for most PFAA. Model sensitivity analyses showed that permeability and phospholipid binding strongly influenced the elimination and distribution of long-chain PFAA (ηpfc ≥ 7), while elimination for short-chain PFAA (ηpfc ≤ 6) was more sensitive to renal transporters and albumin binding. This study illustrates how integrating in vitro-derived parameters into PBTK models enables mechanistic evaluation of PFAS toxicokinetics across diverse compounds and physiological conditions.
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