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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23326527/?tool=EBI |
| _version_ | 1818742594536996864 |
|---|---|
| author | Nadia Quignot Frédéric Y Bois |
| author_facet | Nadia Quignot Frédéric Y Bois |
| author_sort | Nadia Quignot |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-18T02:15:00Z |
| format | Article |
| id | doaj.art-98bd92545f7d405bb10baa332d47d75f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-18T02:15:00Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-98bd92545f7d405bb10baa332d47d75f2022-12-21T21:24:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0181e5389110.1371/journal.pone.0053891A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.Nadia QuignotFrédéric Y BoisA 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23326527/?tool=EBI |
| spellingShingle | Nadia Quignot Frédéric Y Bois A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors. PLoS ONE |
| title | 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_short | 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23326527/?tool=EBI |
| work_keys_str_mv | AT nadiaquignot acomputationalmodeltopredictratovariansteroidsecretionfrominvitroexperimentswithendocrinedisruptors AT fredericybois acomputationalmodeltopredictratovariansteroidsecretionfrominvitroexperimentswithendocrinedisruptors AT nadiaquignot computationalmodeltopredictratovariansteroidsecretionfrominvitroexperimentswithendocrinedisruptors AT fredericybois computationalmodeltopredictratovariansteroidsecretionfrominvitroexperimentswithendocrinedisruptors |