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Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish

The Adverse Outcome Pathway (AOP) framework represents a valuable conceptual tool to systematically integrate existing toxicological knowledge from a mechanistic perspective to facilitate predictions of chemical-induced effects across species. However, its application for decision-making requires th...

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Autores principales: Margiotta-Casaluci, Luigi, Owen, Stewart F., Huerta, Belinda, Rodríguez-Mozaz, Sara, Kugathas, Subramanian, Barceló, Damià, Rand-Weaver, Mariann, Sumpter, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768075/
https://www.ncbi.nlm.nih.gov/pubmed/26917256
http://dx.doi.org/10.1038/srep21978
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author Margiotta-Casaluci, Luigi
Owen, Stewart F.
Huerta, Belinda
Rodríguez-Mozaz, Sara
Kugathas, Subramanian
Barceló, Damià
Rand-Weaver, Mariann
Sumpter, John P.
author_facet Margiotta-Casaluci, Luigi
Owen, Stewart F.
Huerta, Belinda
Rodríguez-Mozaz, Sara
Kugathas, Subramanian
Barceló, Damià
Rand-Weaver, Mariann
Sumpter, John P.
author_sort Margiotta-Casaluci, Luigi
collection PubMed
description The Adverse Outcome Pathway (AOP) framework represents a valuable conceptual tool to systematically integrate existing toxicological knowledge from a mechanistic perspective to facilitate predictions of chemical-induced effects across species. However, its application for decision-making requires the transition from qualitative to quantitative AOP (qAOP). Here we used a fish model and the synthetic glucocorticoid beclomethasone dipropionate (BDP) to investigate the role of chemical-specific properties, pharmacokinetics, and internal exposure dynamics in the development of qAOPs. We generated a qAOP network based on drug plasma concentrations and focused on immunodepression, skin androgenisation, disruption of gluconeogenesis and reproductive performance. We showed that internal exposure dynamics and chemical-specific properties influence the development of qAOPs and their predictive power. Comparing the effects of two different glucocorticoids, we highlight how relatively similar in vitro hazard-based indicators can lead to different in vivo risk. This discrepancy can be predicted by their different uptake potential, pharmacokinetic (PK) and pharmacodynamic (PD) profiles. We recommend that the development phase of qAOPs should include the application of species-species uptake and physiologically-based PK/PD models. This integration will significantly enhance the predictive power, enabling a more accurate assessment of the risk and the reliable transferability of qAOPs across chemicals.
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spelling pubmed-47680752016-03-02 Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish Margiotta-Casaluci, Luigi Owen, Stewart F. Huerta, Belinda Rodríguez-Mozaz, Sara Kugathas, Subramanian Barceló, Damià Rand-Weaver, Mariann Sumpter, John P. Sci Rep Article The Adverse Outcome Pathway (AOP) framework represents a valuable conceptual tool to systematically integrate existing toxicological knowledge from a mechanistic perspective to facilitate predictions of chemical-induced effects across species. However, its application for decision-making requires the transition from qualitative to quantitative AOP (qAOP). Here we used a fish model and the synthetic glucocorticoid beclomethasone dipropionate (BDP) to investigate the role of chemical-specific properties, pharmacokinetics, and internal exposure dynamics in the development of qAOPs. We generated a qAOP network based on drug plasma concentrations and focused on immunodepression, skin androgenisation, disruption of gluconeogenesis and reproductive performance. We showed that internal exposure dynamics and chemical-specific properties influence the development of qAOPs and their predictive power. Comparing the effects of two different glucocorticoids, we highlight how relatively similar in vitro hazard-based indicators can lead to different in vivo risk. This discrepancy can be predicted by their different uptake potential, pharmacokinetic (PK) and pharmacodynamic (PD) profiles. We recommend that the development phase of qAOPs should include the application of species-species uptake and physiologically-based PK/PD models. This integration will significantly enhance the predictive power, enabling a more accurate assessment of the risk and the reliable transferability of qAOPs across chemicals. Nature Publishing Group 2016-02-26 /pmc/articles/PMC4768075/ /pubmed/26917256 http://dx.doi.org/10.1038/srep21978 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Margiotta-Casaluci, Luigi
Owen, Stewart F.
Huerta, Belinda
Rodríguez-Mozaz, Sara
Kugathas, Subramanian
Barceló, Damià
Rand-Weaver, Mariann
Sumpter, John P.
Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title_full Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title_fullStr Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title_full_unstemmed Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title_short Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
title_sort internal exposure dynamics drive the adverse outcome pathways of synthetic glucocorticoids in fish
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768075/
https://www.ncbi.nlm.nih.gov/pubmed/26917256
http://dx.doi.org/10.1038/srep21978
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