A Computational Model of the Hypothalamic-Pituitary-Gonadal Axis in Male Fathead Minnows Exposed to 17α-Ethinylestradiol and 17β-Estradiol

Male Hypothalamo-Hypophyseal System Principal Component Analysis 0303 health sciences Estradiol Cyprinidae Pituitary-Adrenal System Ethinyl Estradiol Lipid Metabolism Models, Biological Markov Chains 6. Clean water Vitellogenins 03 medical and health sciences Calibration Animals Computer Simulation Gonadal Steroid Hormones Monte Carlo Method Water Pollutants, Chemical Signal Transduction
DOI: 10.1093/toxsci/kfp069 Publication Date: 2009-04-08T20:13:09Z
ABSTRACT
Estrogenic chemicals in the aquatic environment have been shown to cause a variety of reproductive anomalies in fish including full sex reversal, intersex, and altered population sex ratios. Two estrogens found in the aquatic environment, 17alpha-ethinylestradiol (EE(2)) and 17beta-estradiol (E(2)), have been measured in wastewater treatment effluents and have been shown to cause adverse effects in fish. To further our understanding of how estrogen exposure affects reproductive endpoints in the male fathead minnow (FHM, Pimephales promelas), a physiologically based computational model was developed of the hypothalamic-pituitary-gonadal (HPG) axis. Apical reproductive endpoints in the model include plasma steroid hormone and vitellogenin concentrations. Using Markov chain Monte Carlo simulation, the model was calibrated with data from unexposed FHM, and FHM exposed to EE(2) and E(2). Independent experimental data sets were used to evaluate model predictions. We found good agreement between our model predictions and a variety of measured reproductive endpoints, although the model underpredicts unexposed FHM reproductive endpoint variances, and overpredicts variances in estrogen-exposed FHM. We conclude that this model provides a robust representation of the HPG axis in male FHM.
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