Exposure reconstruction using a physiologically based toxicokinetic model with cumulative amount of metabolite in urine: a case study of trichloroethylene inhalation

被引:5
作者
Chen, Chu-Chih [1 ]
Shih, Meng-Chiuan [2 ]
Wu, Kuen-Yuh [3 ]
机构
[1] Natl Hlth Res Inst, Inst Populat Hlth Sci, Div Biostat & Bioinformat, Zhunan 350, Miaoli County, Taiwan
[2] Tamkang Univ, Dept Math, Taipei, Taiwan
[3] Natl Taiwan Univ, Inst Occupat Med & Ind Hyg, Taipei 10764, Taiwan
关键词
Exposure assessment; Hierarchical Bayesian statistics; Markov chain Monte Carlo; Measurement error; HUMAN BIOMONITORING DATA; PHARMACOKINETIC MODEL; RISK-ASSESSMENT; REVERSE DOSIMETRY; PBPK MODEL; POPULATION; BENZENE; BIOMARKER; ACID;
D O I
10.1007/s00477-011-0502-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The use of a physiologically based toxicokinetic (PBTK) model to reconstruct chemical exposure using human biomonitoring data, urinary metabolites in particular, has not been fully explored. In this paper, the trichloroethylene (TCE) exposure dataset by Fisher et al. (Toxicol Appl Pharm 152:339-359, 1998) was reanalyzed to investigate this new approach. By treating exterior chemical exposure as an unknown model parameter, a PBTK model was used to estimate exposure and model parameters by measuring the cumulative amount of trichloroethanol glucuronide (TCOG), a metabolite of TCE, in voided urine and a single blood sample of the study subjects by Markov chain Monte Carlo (MCMC) simulations. An estimated exterior exposure of 0.532 mg/l successfully reconstructed the true inhalation concentration of 0.538 mg/l with a 95% CI (0.441-0.645) mg/l. Based on the simulation results, a feasible urine sample collection period would be 12-16 h after TCE exposure, with blood sampling at the end of the exposure period. Given the known metabolic pathway and exposure duration, the proposed computational procedure provides a simple and reliable method for environmental (occupational) exposure and PBTK model parameter estimation, which is more feasible than repeated blood sampling.
引用
收藏
页码:21 / 31
页数:11
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