Literature DB >> 24272388

Modeling endocrine control of the pituitary-ovarian axis: androgenic influence and chaotic dynamics.

Angelean O Hendrix1, Claude L Hughes, James F Selgrade.   

Abstract

Mathematical models of the hypothalamus-pituitary-ovarian axis in women were first developed by Schlosser and Selgrade in 1999, with subsequent models of Harris-Clark et al. (Bull. Math. Biol. 65(1):157-173, 2003) and Pasteur and Selgrade (Understanding the dynamics of biological systems: lessons learned from integrative systems biology, Springer, London, pp. 38-58, 2011). These models produce periodic in-silico representation of luteinizing hormone (LH), follicle stimulating hormone (FSH), estradiol (E2), progesterone (P4), inhibin A (InhA), and inhibin B (InhB). Polycystic ovarian syndrome (PCOS), a leading cause of cycle irregularities, is seen as primarily a hyper-androgenic disorder. Therefore, including androgens into the model is necessary to produce simulations relevant to women with PCOS. Because testosterone (T) is the dominant female androgen, we focus our efforts on modeling pituitary feedback and inter-ovarian follicular growth properties as functions of circulating total T levels. Optimized parameters simultaneously simulate LH, FSH, E2, P4, InhA, and InhB levels of Welt et al. (J. Clin. Endocrinol. Metab. 84(1):105-111, 1999) and total T levels of Sinha-Hikim et al. (J. Clin. Endocrinol. Metab. 83(4):1312-1318, 1998). The resulting model is a system of 16 ordinary differential equations, with at least one stable periodic solution. Maciel et al. (J. Clin. Endocrinol. Metab. 89(11):5321-5327, 2004) hypothesized that retarded early follicle growth resulting in "stockpiling" of preantral follicles contributes to PCOS etiology. We present our investigations of this hypothesis and show that varying a follicular growth parameter produces preantral stockpiling and a period-doubling cascade resulting in apparent chaotic menstrual cycle behavior. The new model may allow investigators to study possible interventions returning acyclic patients to regular cycles and guide developments of individualized treatments for PCOS patients.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24272388     DOI: 10.1007/s11538-013-9913-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

1.  MatVPC: A User-Friendly MATLAB-Based Tool for the Simulation and Evaluation of Systems Pharmacology Models.

Authors:  K Biliouris; M Lavielle; M N Trame
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-08-22

2.  High-Throughput Analysis of Ovarian Cycle Disruption by Mixtures of Aromatase Inhibitors.

Authors:  Frederic Y Bois; Nazanin Golbamaki-Bakhtyari; Simona Kovarich; Cleo Tebby; Henry A Gabb; Emmanuel Lemazurier
Journal:  Environ Health Perspect       Date:  2017-07-19       Impact factor: 9.031

3.  Monitoring sexual steroids and cortisol at different stages of the ovarian cycle from two capuchin monkey species: use of non- or less invasive methods than blood sampling.

Authors:  M C M Lima; S R R A Scalercio; C T A Lopes; N D Martins; K G Oliveira; M C Caldas-Bussiere; R R Santos; S F S Domingues
Journal:  Heliyon       Date:  2019-07-27
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.