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Published on: January 7, 2019
PBPK modeling to evaluate maximum tolerated doses: A case study with 3-chloroallyl alcohol
Rory P Conolly1, Harvey J Clewell1, Martha M Moore2
1Ramboll US Corporation, Monroe, LA, United States.
A new physiologically based pharmacokinetic (PBPK) model for 3-chloroallyl alcohol (3-CAA) helps design genotoxicity assays. This model shows drinking water administration achieves sustained exposure without severe toxicity, unlike oral gavage.
Area of Science:
- Pharmacokinetics and Toxicological Modeling
- In Vivo Genotoxicity Assessment
Background:
- Physiologically based pharmacokinetic (PBPK) models are crucial for understanding chemical toxicity.
- 3-chloroallyl alcohol (3-CAA) genotoxicity requires accurate dose-response assessment to avoid confounding factors like cytotoxicity.
- Ethanol's PBPK model provides a basis for developing a PBPK model for 3-CAA due to shared metabolic pathways (alcohol dehydrogenases).
Purpose of the Study:
- To develop a PBPK model for 3-chloroallyl alcohol (3-CAA).
- To evaluate assay designs for 3-CAA's in vivo genotoxicity.
- To assess the impact of dose route (oral gavage vs. drinking water) on 3-CAA pharmacokinetics and toxicity.
Main Methods:
- Developed a PBPK model for 3-CAA, utilizing read-across from an existing ethanol PBPK model.
- Simulated 3-CAA pharmacokinetics for oral gavage and drinking water routes.
- Evaluated key toxicokinetic parameters: maximum blood concentration (Cmax) and area under the curve (AUC).
Main Results:
- Oral gavage resulted in a 6-fold higher Cmax compared to drinking water for the same dose.
- AUC values were similar between oral gavage and drinking water routes.
- Predicted Cmax correlated strongly with severe toxicity (e.g., lethality), suggesting a role for reactive metabolites.
Conclusions:
- Drinking water administration of 3-CAA allows for higher sustained exposure without inducing severe toxicity.
- The PBPK model aids in designing genotoxicity studies that comply with regulatory guidelines (OECD, USEPA).
- PBPK modeling ensures appropriate target tissue exposure assessment, even without direct laboratory measurements.
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