Targeted Pathway-based In Vivo Testing Using Thyroperoxidase Inhibition to Evaluate Plasma Thyroxine as a Surrogate Metric of Metamorphic Success in Model Amphibian Xenopus laevis.


Journal

Toxicological sciences : an official journal of the Society of Toxicology
ISSN: 1096-0929
Titre abrégé: Toxicol Sci
Pays: United States
ID NLM: 9805461

Informations de publication

Date de publication:
01 06 2020
Historique:
pubmed: 17 3 2020
medline: 16 6 2021
entrez: 17 3 2020
Statut: ppublish

Résumé

Chemical safety evaluation is in the midst of a transition from traditional whole-animal toxicity testing to molecular pathway-based in vitro assays and in silico modeling. However, to facilitate the shift in reliance on apical effects for risk assessment to predictive surrogate metrics having characterized linkages to chemical mechanisms of action, targeted in vivo testing is necessary to establish these predictive relationships. In this study, we demonstrate a means to predict thyroid-related metamorphic success in the model amphibian Xenopus laevis using relevant biochemical measurements during early prometamorphosis. The adverse outcome pathway for thyroperoxidase inhibition leading to altered amphibian metamorphosis was used to inform a pathway-based in vivo study design that generated response-response relationships. These causal relationships were used to develop Bayesian probabilistic network models that mathematically determine conditional dependencies between biochemical nodes and support the predictive capability of the biochemical profiles. Plasma thyroxine concentrations were the most predictive of metamorphic success with improved predictivity when thyroid gland sodium-iodide symporter gene expression levels (a compensatory response) were used in conjunction with plasma thyroxine as an additional regressor. Although thyroid-mediated amphibian metamorphosis has been studied for decades, this is the first time a predictive relationship has been characterized between plasma thyroxine and metamorphic success. Linking these types of biochemical surrogate metrics to apical outcomes is vital to facilitate the transition to the new paradigm of chemical safety assessments.

Identifiants

pubmed: 32176285
pii: 5807621
doi: 10.1093/toxsci/kfaa036
pmc: PMC8010899
mid: NIHMS1607522
doi:

Substances chimiques

Antithyroid Agents 0
Enzyme Inhibitors 0
Peroxidase EC 1.11.1.7
Thyroxine Q51BO43MG4

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

236-250

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Informations de copyright

Published by Oxford University Press on behalf of the Society of Toxicology 2020. This work is written by US Government employees and is in the public domain in the US.

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Auteurs

Jonathan T Haselman (JT)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Jennifer H Olker (JH)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Patricia A Kosian (PA)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Joseph J Korte (JJ)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Joseph A Swintek (JA)

Badger Technical Services, Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Jeffrey S Denny (JS)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

John W Nichols (JW)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Joseph E Tietge (JE)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Michael W Hornung (MW)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

Sigmund J Degitz (SJ)

Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.

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Classifications MeSH