A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.

A finely tuned balance between estrogens and androgens controls reproductive functions, and the last step of steroidogenesis plays a key role in maintaining that balance. Environmental toxicants are a serious health concern, and numerous studies have been devoted to studying the effects of endocrine...

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Autores principales:	Nadia Quignot, Frédéric Y Bois
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/98bd92545f7d405bb10baa332d47d75f
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spelling	oai:doaj.org-article:98bd92545f7d405bb10baa332d47d75f2021-11-18T08:01:47ZA computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.1932-620310.1371/journal.pone.0053891https://doaj.org/article/98bd92545f7d405bb10baa332d47d75f2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23326527/?tool=EBIhttps://doaj.org/toc/1932-6203A finely tuned balance between estrogens and androgens controls reproductive functions, and the last step of steroidogenesis plays a key role in maintaining that balance. Environmental toxicants are a serious health concern, and numerous studies have been devoted to studying the effects of endocrine disrupting chemicals (EDCs). The effects of EDCs on steroidogenic enzymes may influence steroid secretion and thus lead to reproductive toxicity. To predict hormonal balance disruption on the basis of data on aromatase activity and mRNA level modulation obtained in vitro on granulosa cells, we developed a mathematical model for the last gonadal steps of the sex steroid synthesis pathway. The model can simulate the ovarian synthesis and secretion of estrone, estradiol, androstenedione, and testosterone, and their response to endocrine disruption. The model is able to predict ovarian sex steroid concentrations under normal estrous cycle in female rat, and ovarian estradiol concentrations in adult female rats exposed to atrazine, bisphenol A, metabolites of methoxychlor or vinclozolin, and letrozole.Nadia QuignotFrédéric Y BoisPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e53891 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nadia Quignot Frédéric Y Bois A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
description	A finely tuned balance between estrogens and androgens controls reproductive functions, and the last step of steroidogenesis plays a key role in maintaining that balance. Environmental toxicants are a serious health concern, and numerous studies have been devoted to studying the effects of endocrine disrupting chemicals (EDCs). The effects of EDCs on steroidogenic enzymes may influence steroid secretion and thus lead to reproductive toxicity. To predict hormonal balance disruption on the basis of data on aromatase activity and mRNA level modulation obtained in vitro on granulosa cells, we developed a mathematical model for the last gonadal steps of the sex steroid synthesis pathway. The model can simulate the ovarian synthesis and secretion of estrone, estradiol, androstenedione, and testosterone, and their response to endocrine disruption. The model is able to predict ovarian sex steroid concentrations under normal estrous cycle in female rat, and ovarian estradiol concentrations in adult female rats exposed to atrazine, bisphenol A, metabolites of methoxychlor or vinclozolin, and letrozole.
format	article
author	Nadia Quignot Frédéric Y Bois
author_facet	Nadia Quignot Frédéric Y Bois
author_sort	Nadia Quignot
title	A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
title_short	A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
title_full	A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
title_fullStr	A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
title_full_unstemmed	A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
title_sort	computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/98bd92545f7d405bb10baa332d47d75f
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A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.

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