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Modeling acetylcholine esterase inhibition resulting from exposure to a mixture of atrazine and chlorpyrifos using a physiologically-based kinetic model in fish

Abstract : Aquatic organisms are exposed to mixtures of chemicals that may interact. Mixtures of atrazine (ATR) and chlorpyrifos (CPF) may elicit synergic effects on the permanent inhibition of acetylcholinesterase (AChE) in certain aquatic organisms, causing severe damage. Mechanistic mathematical models of toxicokinetics and toxicodynamics (TD) may be used to better characterize and understand the interactions of these two chemicals. In this study, a previously published generic physiologically-based toxicokinetic (PBTK) model for fish was adapted to ATR and CPF. A sub-model of the kinetics of one of the main metabolites of CPF, chlorpyrifos-oxon (CPF-oxon), was included, as well as a TD model. Inhibition of two esterases, AChE and carboxylesterase, by ATR, CPF and CPF-oxon, was modeled using TD modeling of quantities of total and inactive esterases. Specific attention was given to the parameterization and calibration of the model to accurately predict the concentration and effects observed in the fish using Bayesian inference and published data from fathead minnow (Pimephales promelas), zebrafish (Dunn) rerio) and common carp (Cyprinus carpio L.). A PBTK-TD for mixtures was used to predict dose-response relationships for comparison with available adult fish data. Synergistic effects of a joint exposure to ATR and CPU could not be demonstrated in adult fish.
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https://hal-ineris.archives-ouvertes.fr/ineris-03267315
Contributor : Gestionnaire Civs <>
Submitted on : Tuesday, June 22, 2021 - 1:58:41 PM
Last modification on : Wednesday, June 23, 2021 - 3:42:07 AM

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Corentin Mit, Cleo Tebby, Tristan Gueganno, Anne Bado-Nilles, Rémy Beaudouin. Modeling acetylcholine esterase inhibition resulting from exposure to a mixture of atrazine and chlorpyrifos using a physiologically-based kinetic model in fish. Science of the Total Environment, Elsevier, 2021, 773, pp.144734. ⟨10.1016/j.scitotenv.2020.144734⟩. ⟨ineris-03267315⟩

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