首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Modeling Receptor-Mediated Processes with Dioxin: Implications for Pharmacokinetics and Risk Assessment
Authors:Melvin E Andersen  Jeremy J Mills  Michael L Gargas  Lorrene Kedderis  Linda S Birnbaum  Diether Neubert  William F Greenlee
Institution:Chemical Industry Institute of Toxicology, P.O. Box 12137, Research Triangle Park, North Carolina 27709.;Curriculum in Toxicology, Center for Environmental Medicine, University of North Carolina, Chapel Hill, North Carolina 27599.;Health Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711.;Institute of Toxicology and Embryopharmacology, Free University Berlin, Garystr 5, D-1000 Berlin 33, Germany.;Department of Pharmacology and Toxicology, School of Pharmacy and Pharmacal Sciences, Purdue University, West Lafayette, Indiana 47907—880.;To whom all correspondence should be addressed.
Abstract:Dioxin (2,3,7,8-tetrachlorodibenzo- p -dioxin; TCDD), a widespread polychlorinated aromatic hydrocarbon, caused tumors in the liver and other sites when administered chronically to rats at doses as low as 0.01 μg/kg/day. It functions in combination with a cellular protein, the Ah receptor, to alter gene regulation, and this resulting modulation of gene expression is believed to be obligatory for both dioxin toxicity and carcinogenicity. The U.S. EPA is reevaluating its dioxin risk assessment and, as part of this process, will be developing risk assessment approaches for chemicals, such as dioxin, whose toxicity is receptor-mediated. This paper describes a receptor-mediated physiologically based pharmacokinetic (PB-PK) model for the tissue distribution and enzyme-inducing properties of dioxin and discusses the potential role of these models in a biologically motivated risk assessment. In this model, ternary interactions among the Ah receptor, dioxin, and DNA binding sites lead to enhanced production of specific hepatic proteins. The model was used to examine the tissue disposition of dioxin and the induction of both a dioxin-binding protein (presumably, cytochrome P4501A2), and cytochrome P4501A1. Tumor promotion correlated more closely with predicted induction of P4501A1 than with induction of hepatic binding proteins. Although increased induction of these proteins is not expected to be causally related to tumor formation, these physiological dosimetry and gene-induction response models will be important for biologically motivated dioxin risk assessments in determining both target tissue dose of dioxin and gene products and in examining the relationship between these gene products and the cellular events more directly involved in tumor promotion.
Keywords:PB-PK modeling  dioxin  gene regulation  cytochrome P450  risk assessment  pharmacokinetics  pharmacodynamics  
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号