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Development of a physiologically based pharmacokinetic model for hydroquinone
R A Corley1, J C English, T S Hill
1Pacific Northwest Division, Battelle Memorial Institute, Richland, WA 99352, USA.
Toxicology and Applied Pharmacology
|June 1, 2000
Summary
Hydroquinone (HQ) causes kidney damage and tumors in male rats via a minor metabolic pathway. A pharmacokinetic model explains strain differences in toxicity, crucial for human health risk assessments.
Area of Science:
- Toxicology
- Pharmacokinetics
- Risk Assessment
Background:
- Hydroquinone (HQ) induces nephrotoxicity and renal tubular adenomas in male F344 rats.
- Female rats and Sprague-Dawley (SD) rats exhibit resistance to HQ's toxic effects.
- Toxicity is linked to a minor glutathione conjugation pathway of HQ oxidation to benzoquinone (BQ).
Purpose of the Study:
- To develop a physiologically based pharmacokinetic (PBPK) model for hydroquinone (HQ).
- To characterize kinetic factors influencing strain differences in HQ-induced renal toxicity and tumorigenicity.
- To provide a basis for improving human health risk assessments of HQ.
Main Methods:
- In vivo and in vitro studies to determine partition coefficients, protein-binding, and metabolic rate constants.
- Development of an initial PBPK model for HQ.
- Simulations compared with data from male/female F344 rats, male SD rats, and a human volunteer.
Main Results:
- Metabolism of HQ occurs in the liver and GI tract; 90-99% are glucuronide/sulfate conjugates.
- Glutathione pathway flux represents the internal dose for nephrotoxicity.
- Simulations indicated higher glutathione conjugates with intraperitoneal vs. oral dosing, highlighting GI tract first-pass metabolism.
- Male F344 rats predicted to form more glutathione conjugates than SD rats, aligning with observed toxicity differences.
Conclusions:
- The PBPK model successfully characterized kinetic factors in HQ-induced renal toxicity.
- First-pass GI tract metabolism significantly influences HQ's toxicological profile.
- The model supports observed strain differences in HQ toxicity and is a step towards biologically based dose-response modeling for risk assessment.