ArticlePloS one2013
A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 16 citations in OpenAlex.
- Interspecies and in vitro-in vivo scaling for quantitative modeling of whole-body drug pharmacokinetics in patients: Application to the anticancer drug oxaliplatin.CPT: pharmacometrics & systems pharmacology · 2023Article
- In Silico Predictions of Endocrine Disruptors Properties.Endocrinology · 2019Review
- Development in Assay Methods forFrontiers in pharmacology · 2017Review
- Systems biology modeling of omics data: effect of cyclosporine a on the Nrf2 pathway in human renal cells.BMC systems biology · 2014Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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Abstract
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.
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