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Acrylamide: Review of Toxicity Data and Dose-Response Analyses for Cancer and Noncancer Effects
The purpose of this investigation was to review the toxicity data, identify any new relevant data, and select those data to be used in dose-response modeling, and proposed revised cancer and noncancer toxicity values were estimated using the newest U.S. EPA guidelines for cancer risk assessment and non cancer hazard assessment.
Physiologically based pharmacokinetics and the risk assessment process for methylene chloride.
Evaluation of the Uncertainty in an Oral Reference Dose for Methylmercury Due to Interindividual Variability in Pharmacokinetics
- H. Clewell, J. Gearhart, A. Shipp
- MedicineRisk analysis : an official publication of the…
- 1 August 1999
An analysis of the uncertainty in guidelines for the ingestion of methylmercury (MeHg) due to human pharmacokinetic variability was conducted using a physiologically based pharmacokinetic (PBPK)…
Formaldehyde: integrating dosimetry, cytotoxicity, and genomics to understand dose-dependent transitions for an endogenous compound.
- M. Andersen, H. Clewell, Russell S. Thomas
- Medicine, BiologyToxicological sciences : an official journal of…
- 1 December 2010
Dose dependencies in MOA, high background FAcetal, and nonlinear FA cetal/GSH tissue kinetics indicate that FA concentrations below 1 or 2 ppm would not increase risk of cancer in the nose or any other tissue or affect FA homeostasis within epithelial cells.
Pharmacokinetic modeling of saturable, renal resorption of perfluoroalkylacids in monkeys--probing the determinants of long plasma half-lives.
Development of a physiologically based pharmacokinetic model of trichloroethylene and its metabolites for use in risk assessment.
- H. Clewell, P. R. Gentry, T. Covington, J. Gearhart
- Biology, MedicineEnvironmental health perspectives
- 1 May 2000
Model predictions of TCE, TCA, DCA, and TCOH concentrations in rodents and humans are in good agreement with a variety of experimental data, suggesting that the model should provide a useful basis for evaluating cross-species differences in pharmacokinetics for these chemicals.
Review and Evaluation of the Potential Impact of Age- and Gender-Specific Pharmacokinetic Differences on Tissue Dosimetry
This investigation consisted of multiple tasks aimed at making quantitative predictions of interindividual differences in susceptibility by using physiologically based pharmacokinetic (PBPK) models to develop a methodology that incorporates PBPK modeling to assess the likelihood that a chemical or class of chemicals may present an age- or gender-specific risk.
Use of a Physiologically Based Pharmacokinetic Model to Identify Exposures Consistent With Human Biomonitoring Data for Chloroform
- Y. Tan, K. Liao, R. Conolly, B. Blount, Ann M. Mason, H. Clewell
- Environmental ScienceJournal of toxicology and environmental health…
- 1 September 2006
A combined PBPK model with an exposure model for showering is used to estimate the intake concentrations of chloroform based on measured blood and exhaled breath concentrations ofchloroform.
Analysis of manganese tracer kinetics and target tissue dosimetry in monkeys and humans with multi-route physiologically based pharmacokinetic models.
- J. Schroeter, A. Nong, H. Clewell
- BiologyToxicological sciences : an official journal of…
- 1 April 2011
The use of this human Mn PBPK model can become a key component of future human health risk assessment, allowing the consideration of various exposure routes, natural tissue background levels, and homeostatic controls to explore exposure conditions that lead to increased target tissue levels resulting from Mn overexposure.
Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment.
- B. Wetmore, J. Wambaugh, Russell S. Thomas
- Biology, MedicineToxicological sciences : an official journal of…
The incorporation of dosimetry and exposure provide necessary context for interpretation of in vitro toxicity screening data and are important considerations in determining chemical testing priorities.