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Original Articles

Approaches to Acrylamide Physiologically Based Toxicokinetic Modeling for Exploring Child–adult Dosimetry Differences

, , , &
Pages 2033-2055 | Received 05 Mar 2007, Accepted 12 Jun 2007, Published online: 29 Nov 2007
 

Abstract

Dietary exposure to acrylamide is common as a result of its formation during the cooking of carbohydrate foods. This leads to widespread human exposure in adults and children alike. Acrylamide is neurotoxic and is metabolized by cytochrome P-450 (CYP) 2E1 to a mutagenic epoxide, glycidamide. This article describes a modeling framework for assessing acrylamide and glycidamide dosimetry in rats and human adults and children. The challenges in building a physiologically based toxicokinetic (PBTK) model that is compatible with existing rat and human data are described, with an emphasis on calibration against the hemoglobin adduct database. This exploratory PBTK model was adapted to children by incorporating life-stage-specific parameters consistent with children's changing physiology and metabolic capacity for processes involved in acrylamide disposition in terms of CYP2E1, glutathione conjugation, and epoxide hydrolase. Monte Carlo analysis was used to simulate the distribution of internal doses to gain an initial understanding of the range of child/adult differences possible. This analysis suggests modest dosimetry differences between children and adults, with area-under-the-curve (AUC) doses for the 99th percentile child up to fivefold greater than the median adult for both acrylamide and glycidamide. Early life immaturities tended to exert a greater effect on acrylamide than glycidamide dosimetry because immaturities in CYP2E1 and glutathione counteract one another for glycidamide AUC, but both lead to greater acrylamide dose. The analysis points toward glutathione conjugation parameters as being particularly influential and uncertain in early life, making this a key area for future research.

This research was supported by U.S. EPA/State of Connecticut Cooperative Agreement number 827195-0. The authors are grateful to Dr. Christopher Kirman for providing us with the raw computer code for the published version of the acrylamide rat model.

The opinions presented in this article do not necessarily represent the views and positions of Clark University, the U.S. Environmental Protection Agency, or the State of Connecticut.

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