Estimating Screening-Level Organic Chemical Half-Lives in Humans

被引:57
作者
Arnot, Jon A. [1 ,2 ]
Brown, Trevor N. [1 ,3 ]
Wania, Frank [2 ]
机构
[1] ARC Arnot Res & Consulting, Toronto, ON M4M 1W4, Canada
[2] Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada
[3] UFZ Helmholtz Ctr Environm Res, Dept Analyt Environm Chem, D-04318 Leipzig, Germany
关键词
METABOLIC BIOTRANSFORMATION RATES; POLYCHLORINATED-BIPHENYLS; BIOACCUMULATION; FISH; EXPOSURE; ELIMINATION; POLLUTANTS; MODEL; BIOMAGNIFICATION; ACCUMULATION;
D O I
10.1021/es4029414
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Relatively few measured data are available for the thousands of chemicals requiring hazard and risk assessment. The whole body, total elimination half-life (HLT) and the whole body, primary biotransformation half-life (HLB) are key parameters determining the extent of bioaccumulation, biological concentration, and risk from chemical exposure. A one-compartment pharmacokinetic (1-CoPK) mass balance model was developed to estimate organic chemical HLB from measured HLT data in mammals. Approximately 1900 HLs for human adults were collected and reviewed and the 1-CoPK model was parametrized for an adult human to calculate HLB from HLT. Measured renal clearance and whole body total clearance data for 306 chemicals were used to calculate empirical HLB,emp. The HLB,emp values and other measured data were used the 1-CoPK HLB model calculations. HLs span approximately 7.5 orders of magnitude from 0.05 h for nitroglycerin to 2 x 10(6) h for 2,3,4,5,2',3',5',6'-octachlorobiphenyl with a median of 7.6 h. The automated Iterative Fragment Selection (IFS) method was applied to develop and evaluate various quantitative structure-activity relationships (QSARs) to predict HLT and HLB from chemical structure and two novel QSARs are detailed. The HLT and HLB QSARs show similar statistical performance; that is, r(2) = 0.89, r(2-ext) = 0.72 and 0.73 for training and external validation sets, respectively, and root-mean-square errors for the validation data sets are 0.70 and 0.75, respectively.
引用
收藏
页码:723 / 730
页数:8
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