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Prediction of tissue and urine concentrations of 2-phenoxyethanol and its metabolite 2-phenoxyacetic acid in rat and human after oral and dermal exposures via GastroPlusTM physiologically based pharmacokinetic modelling.
Zhang, F; LeBaron, M J; Marty, M S.
Afiliación
  • Zhang F; Toxicology and Environmental Research and Consulting, The Dow Chemical Company, Midland, MI, USA.
  • LeBaron MJ; Toxicology and Environmental Research and Consulting, The Dow Chemical Company, Midland, MI, USA.
  • Marty MS; Toxicology and Environmental Research and Consulting, The Dow Chemical Company, Midland, MI, USA.
SAR QSAR Environ Res ; 33(5): 323-339, 2022 May.
Article en En | MEDLINE | ID: mdl-35301938
ABSTRACT
A physiologically based pharmacokinetic (PBPK) model for the important chemical phenoxyethanol (PhE) and its metabolite phenoxyacetic acid (PhAA) was built via GastroPlusTM software (version 9.0) using currently available analytically measured plasma and urinary time-courses of both PhE and its metabolite PhAA. This model was validated and used to predict tissue and urine concentrations of PhE and its metabolite PhAA in rats and humans after oral and dermal exposures. The prediction results showed that most predicted tissue concentrations of PhE or PhAA were lower than the experimental tissue concentrations based on total radioactivity. The predicted cumulative excretion of PhAA in both rats and humans fits very well with most experimental data. With this GastroPlusTM-based model, the margins of exposure (MOE) of PhE and PhAA were also calculated as 194 and 73.7, respectively. The predicted MOE of PhE is two-fold higher than the previous PBPK model built using total radioactivity-based tissue time courses, and the predicted MOE of PhAA was comparable to the previous PBPK model. These data indicate that for chemicals like PhE, GastroPlusTM can integrate multiple data sets into PBPK models to predict PK parameters for parent and metabolites in both rats and humans following intravenous, dermal, or oral exposures.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Relación Estructura-Actividad Cuantitativa / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: SAR QSAR Environ Res Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Relación Estructura-Actividad Cuantitativa / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: SAR QSAR Environ Res Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos