Literature DB >> 11035997

A model of gonadotropin regulation during the menstrual cycle in women: qualitative features.

P M Schlosser1, J F Selgrade.   

Abstract

Increasing concerns that environmental contaminants may disrupt the endocrine system require development of mathematical tools to predict the potential for such compounds to significantly alter human endocrine function. The endocrine system is largely self-regulating, compensating for moderate changes in dietary phytoestrogens (e.g., in soy products) and normal variations in physiology. However, severe changes in dietary or oral exposures or in health status (e.g., anorexia), can completely disrupt the menstrual cycle in women. Thus, risk assessment tools should account for normal regulation and its limits. We present a mathematical model for the synthesis and release of luteinizing hormone (LH) and follicle-stimulating hormone (FSH) in women as a function of estrogen, progesterone, and inhibin blood levels. The model reproduces the time courses of LH and FSH during the menstrual cycle and correctly predicts observed effects of administered estrogen and progesterone on LH and FSH during clinical studies. The model should be useful for predicting effects of hormonally active substances, both in the pharmaceutical sciences and in toxicology and risk assessment.

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Year:  2000        PMID: 11035997     DOI: 10.1289/ehp.00108s5873

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  3 in total

1.  Modeling and simulation of pathways in menopause.

Authors:  Dimitra Tsavachidou; Michael N Liebman
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

2.  A mathematical model for the actions of activin, inhibin, and follistatin on pituitary gonadotrophs.

Authors:  Richard Bertram; Yue-Xian Li
Journal:  Bull Math Biol       Date:  2008-08-09       Impact factor: 1.758

3.  Mechanistic model of hormonal contraception.

Authors:  A Armean Wright; Ghassan N Fayad; James F Selgrade; Mette S Olufsen
Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

  3 in total

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