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Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo

In vitro Omics analysis (i.e. transcriptome) is suggested to predict in vivo toxicity and adverse effects in humans, although the causal link between high-throughput data and effects in vivo is not easily established. Indeed, the chemical-organism interaction can involve processes, such as adaptatio...

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Autores principales: Porreca, Immacolata, D’Angelo, Fulvio, De Franceschi, Lucia, Mattè, Alessandro, Ceccarelli, Michele, Iolascon, Achille, Zamò, Alberto, Russo, Filomena, Ravo, Maria, Tarallo, Roberta, Scarfò, Marzia, Weisz, Alessandro, De Felice, Mario, Mallardo, Massimo, Ambrosino, Concetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131489/
https://www.ncbi.nlm.nih.gov/pubmed/27905518
http://dx.doi.org/10.1038/srep38131
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author Porreca, Immacolata
D’Angelo, Fulvio
De Franceschi, Lucia
Mattè, Alessandro
Ceccarelli, Michele
Iolascon, Achille
Zamò, Alberto
Russo, Filomena
Ravo, Maria
Tarallo, Roberta
Scarfò, Marzia
Weisz, Alessandro
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
author_facet Porreca, Immacolata
D’Angelo, Fulvio
De Franceschi, Lucia
Mattè, Alessandro
Ceccarelli, Michele
Iolascon, Achille
Zamò, Alberto
Russo, Filomena
Ravo, Maria
Tarallo, Roberta
Scarfò, Marzia
Weisz, Alessandro
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
author_sort Porreca, Immacolata
collection PubMed
description In vitro Omics analysis (i.e. transcriptome) is suggested to predict in vivo toxicity and adverse effects in humans, although the causal link between high-throughput data and effects in vivo is not easily established. Indeed, the chemical-organism interaction can involve processes, such as adaptation, not established in cell cultures. Starting from this consideration we investigate the transcriptomic response of immortalized thyrocytes to ethylenthiourea and chlorpyrifos. In vitro data revealed specific and common genes/mechanisms of toxicity, controlling the proliferation/survival of the thyrocytes and unrelated hematopoietic cell lineages. These results were phenotypically confirmed in vivo by the reduction of circulating T4 hormone and the development of pancytopenia after long exposure. Our data imply that in vitro toxicogenomics is a powerful tool in predicting adverse effects in vivo, experimentally confirming the vision described as Tox21c (Toxicity Testing in the 21st century) although not fully recapitulating the biocomplexity of a living animal.
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spelling pubmed-51314892016-12-15 Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo Porreca, Immacolata D’Angelo, Fulvio De Franceschi, Lucia Mattè, Alessandro Ceccarelli, Michele Iolascon, Achille Zamò, Alberto Russo, Filomena Ravo, Maria Tarallo, Roberta Scarfò, Marzia Weisz, Alessandro De Felice, Mario Mallardo, Massimo Ambrosino, Concetta Sci Rep Article In vitro Omics analysis (i.e. transcriptome) is suggested to predict in vivo toxicity and adverse effects in humans, although the causal link between high-throughput data and effects in vivo is not easily established. Indeed, the chemical-organism interaction can involve processes, such as adaptation, not established in cell cultures. Starting from this consideration we investigate the transcriptomic response of immortalized thyrocytes to ethylenthiourea and chlorpyrifos. In vitro data revealed specific and common genes/mechanisms of toxicity, controlling the proliferation/survival of the thyrocytes and unrelated hematopoietic cell lineages. These results were phenotypically confirmed in vivo by the reduction of circulating T4 hormone and the development of pancytopenia after long exposure. Our data imply that in vitro toxicogenomics is a powerful tool in predicting adverse effects in vivo, experimentally confirming the vision described as Tox21c (Toxicity Testing in the 21st century) although not fully recapitulating the biocomplexity of a living animal. Nature Publishing Group 2016-12-01 /pmc/articles/PMC5131489/ /pubmed/27905518 http://dx.doi.org/10.1038/srep38131 Text en Copyright © 2016, The Author(s) 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
Porreca, Immacolata
D’Angelo, Fulvio
De Franceschi, Lucia
Mattè, Alessandro
Ceccarelli, Michele
Iolascon, Achille
Zamò, Alberto
Russo, Filomena
Ravo, Maria
Tarallo, Roberta
Scarfò, Marzia
Weisz, Alessandro
De Felice, Mario
Mallardo, Massimo
Ambrosino, Concetta
Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title_full Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title_fullStr Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title_full_unstemmed Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title_short Pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
title_sort pesticide toxicogenomics across scales: in vitro transcriptome predicts mechanisms and outcomes of exposure in vivo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131489/
https://www.ncbi.nlm.nih.gov/pubmed/27905518
http://dx.doi.org/10.1038/srep38131
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