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Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish

Small fish are an excellent experimental model to screen endocrine-disrupting compounds, but current fish-based assays to detect endocrine disruption have not been standardized yet, meaning that there is not consensus on endpoints and biomarkers to be measured. Moreover, exposure conditions may vary...

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Autores principales: Jarque, Sergio, Ibarra, Jone, Rubio-Brotons, Maria, García-Fernández, Jessica, Terriente, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479714/
https://www.ncbi.nlm.nih.gov/pubmed/30965663
http://dx.doi.org/10.3390/ijms20071739
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author Jarque, Sergio
Ibarra, Jone
Rubio-Brotons, Maria
García-Fernández, Jessica
Terriente, Javier
author_facet Jarque, Sergio
Ibarra, Jone
Rubio-Brotons, Maria
García-Fernández, Jessica
Terriente, Javier
author_sort Jarque, Sergio
collection PubMed
description Small fish are an excellent experimental model to screen endocrine-disrupting compounds, but current fish-based assays to detect endocrine disruption have not been standardized yet, meaning that there is not consensus on endpoints and biomarkers to be measured. Moreover, exposure conditions may vary depending on the species used as the experimental model and the endocrine pathway evaluated. At present, a battery of a wide range of assays is usually needed for the complete assessment of endocrine activities. With the aim of providing a simple, robust, and fast assay to assess endocrine-disrupting potencies for the three major endocrine axes, i.e., estrogens, androgens, and thyroid, we propose the use of a panel of eight gene expression biomarkers in zebrafish larvae. This includes brain aromatase (cyp19a1b) and vitellogenin 1 (vtg1) for estrogens, cytosolic sulfotransferase 2 family 2 (sult2st3) and cytochrome P450 2k22 (cyp2k22) for androgens, and thyroid peroxidase (tpo), transthyretin (ttr), thyroid receptor α (trα), and iodothyronine deiodinase 2 (dio2) for thyroid metabolism. All of them were selected according to their responses after exposure to the natural ligands 17β-estradiol, testosterone, and 3,3′,5-triiodo-L-thyronine (T3), respectively, and subsequently validated using compounds reported as endocrine disruptors in previous studies. Cross-talk effects were also evaluated for all compounds.
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spelling pubmed-64797142019-04-29 Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish Jarque, Sergio Ibarra, Jone Rubio-Brotons, Maria García-Fernández, Jessica Terriente, Javier Int J Mol Sci Article Small fish are an excellent experimental model to screen endocrine-disrupting compounds, but current fish-based assays to detect endocrine disruption have not been standardized yet, meaning that there is not consensus on endpoints and biomarkers to be measured. Moreover, exposure conditions may vary depending on the species used as the experimental model and the endocrine pathway evaluated. At present, a battery of a wide range of assays is usually needed for the complete assessment of endocrine activities. With the aim of providing a simple, robust, and fast assay to assess endocrine-disrupting potencies for the three major endocrine axes, i.e., estrogens, androgens, and thyroid, we propose the use of a panel of eight gene expression biomarkers in zebrafish larvae. This includes brain aromatase (cyp19a1b) and vitellogenin 1 (vtg1) for estrogens, cytosolic sulfotransferase 2 family 2 (sult2st3) and cytochrome P450 2k22 (cyp2k22) for androgens, and thyroid peroxidase (tpo), transthyretin (ttr), thyroid receptor α (trα), and iodothyronine deiodinase 2 (dio2) for thyroid metabolism. All of them were selected according to their responses after exposure to the natural ligands 17β-estradiol, testosterone, and 3,3′,5-triiodo-L-thyronine (T3), respectively, and subsequently validated using compounds reported as endocrine disruptors in previous studies. Cross-talk effects were also evaluated for all compounds. MDPI 2019-04-08 /pmc/articles/PMC6479714/ /pubmed/30965663 http://dx.doi.org/10.3390/ijms20071739 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jarque, Sergio
Ibarra, Jone
Rubio-Brotons, Maria
García-Fernández, Jessica
Terriente, Javier
Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title_full Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title_fullStr Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title_full_unstemmed Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title_short Multiplex Analysis Platform for Endocrine Disruption Prediction Using Zebrafish
title_sort multiplex analysis platform for endocrine disruption prediction using zebrafish
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479714/
https://www.ncbi.nlm.nih.gov/pubmed/30965663
http://dx.doi.org/10.3390/ijms20071739
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