Literature DB >> 15686873

Modeling vitellogenesis in female fish exposed to environmental stressors: predicting the effects of endocrine disturbance due to exposure to a PCB mixture and cadmium.

Cheryl A Murphy1, Kenneth A Rose, Peter Thomas.   

Abstract

A wide variety of chemical and physical environmental stressors have been shown to alter the reproductive processes in fish by interfering with endocrine function. Most endocrine indicators or biomarkers are static measures from dynamic hormonally-mediated processes, and often do not directly relate to reproductive endpoints of ecological significance. Adequate production of the yolk precursor protein, vitellogenin, is critical for the survival and normal development of the sensitive egg and yolk-sac larval fish life stages. We developed a model that simulates vitellogenesis in a mature female sciaenid fish. The model simulates the major biochemical reactions over a 6-month period from the secretion of gonadotropin (GtH) into the blood to the production of vitellogenin. We simulated the effects of two endocrine disrupting chemicals (EDCs) that have different actions on vitellogenin production: a PCB mixture and cadmium. Predicted changes in steroid concentrations and cumulative vitellogenin production compared favorably with changes reported in laboratory experiments. Simulations illustrate the potential utility of our model for interpreting reproductive endocrine biomarkers measured in fish collected from degraded environments.

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Year:  2005        PMID: 15686873     DOI: 10.1016/j.reprotox.2004.09.006

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  8 in total

1.  Vitellogenin detection in Caiman latirostris (Crocodylia: Alligatoridae): a tool to assess environmental estrogen exposure in wildlife.

Authors:  Florencia Rey; Jorge G Ramos; Cora Stoker; Leonardo E Bussmann; Enrique H Luque; Mónica Muñoz-de-Toro
Journal:  J Comp Physiol B       Date:  2005-11-15       Impact factor: 2.200

2.  Modeling the endocrine control of vitellogenin production in female rainbow trout.

Authors:  Kaitlin Sundling; Gheorghe Craciun; Irvin Schultz; Sharon Hook; James Nagler; Tim Cavileer; Joseph Verducci; Yushi Liu; Jonghan Kim; William Hayton
Journal:  Math Biosci Eng       Date:  2014-06       Impact factor: 2.080

3.  Computational model of steroidogenesis in human H295R cells to predict biochemical response to endocrine-active chemicals: model development for metyrapone.

Authors:  Michael S Breen; Miyuki Breen; Natsuko Terasaki; Makoto Yamazaki; Rory B Conolly
Journal:  Environ Health Perspect       Date:  2010-02       Impact factor: 9.031

4.  A Computational Model of the Rainbow Trout Hypothalamus-Pituitary-Ovary-Liver Axis.

Authors:  Kendall Gillies; Stephen M Krone; James J Nagler; Irvin R Schultz
Journal:  PLoS Comput Biol       Date:  2016-04-20       Impact factor: 4.475

5.  A computational model of the hypothalamic: pituitary: gonadal axis in female fathead minnows (Pimephales promelas) exposed to 17α-ethynylestradiol and 17β-trenbolone.

Authors:  Zhenhong Li; Kevin J Kroll; Kathleen M Jensen; Daniel L Villeneuve; Gerald T Ankley; Jayne V Brian; María S Sepúlveda; Edward F Orlando; James M Lazorchak; Mitchell Kostich; Brandon Armstrong; Nancy D Denslow; Karen H Watanabe
Journal:  BMC Syst Biol       Date:  2011-05-05

6.  Predicting Fecundity of Fathead Minnows (Pimephales promelas) Exposed to Endocrine-Disrupting Chemicals Using a MATLAB®-Based Model of Oocyte Growth Dynamics.

Authors:  Karen H Watanabe; Michael Mayo; Kathleen M Jensen; Daniel L Villeneuve; Gerald T Ankley; Edward J Perkins
Journal:  PLoS One       Date:  2016-01-12       Impact factor: 3.240

7.  Female reproductive impacts of dietary methylmercury in yellow perch (Perca flavescens) and zebrafish (Danio rerio).

Authors:  Abigail R DeBofsky; Rebekah H Klingler; Francisco X Mora-Zamorano; Marcus Walz; Brian Shepherd; Jeremy K Larson; David Anderson; Luobin Yang; Frederick Goetz; Niladri Basu; Jessica Head; Peter Tonellato; Brandon M Armstrong; Cheryl Murphy; Michael J Carvan
Journal:  Chemosphere       Date:  2017-12-06       Impact factor: 7.086

Review 8.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

Authors:  Jason R Rohr; Christopher J Salice; Roger M Nisbet
Journal:  Crit Rev Toxicol       Date:  2016-06-24       Impact factor: 6.184

  8 in total

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