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

dc.contributor.author

Hendrix, Angelean O

dc.contributor.author

Hughes, Claude L

dc.contributor.author

Selgrade, James F

dc.date.accessioned

2018-06-04T14:27:10Z

dc.date.available

2018-06-04T14:27:10Z

dc.date.issued

2014-01

dc.date.updated

2018-06-04T14:27:00Z

dc.description.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.

dc.identifier.issn

0092-8240

dc.identifier.issn

1522-9602

dc.identifier.uri

https://hdl.handle.net/10161/17105

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Bulletin of mathematical biology

dc.relation.isversionof

10.1007/s11538-013-9913-7

dc.subject

Ovary

dc.subject

Ovarian Follicle

dc.subject

Hypothalamo-Hypophyseal System

dc.subject

Humans

dc.subject

Polycystic Ovary Syndrome

dc.subject

Follicle Stimulating Hormone

dc.subject

Luteinizing Hormone

dc.subject

Androgens

dc.subject

Systems Biology

dc.subject

Menstrual Cycle

dc.subject

Nonlinear Dynamics

dc.subject

Models, Biological

dc.subject

Computer Simulation

dc.subject

Female

dc.subject

Mathematical Concepts

dc.subject

Feedback, Physiological

dc.title

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

dc.type

Journal article

duke.contributor.orcid

Hughes, Claude L|0000-0001-5178-2258

pubs.issue

1

pubs.organisational-group

School of Medicine

pubs.organisational-group

Duke

pubs.organisational-group

Obstetrics and Gynecology

pubs.organisational-group

Clinical Science Departments

pubs.publication-status

Published

pubs.volume

76

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Hendrix et al Bull Math Biol NOV 2013.pdf
Size:
892.53 KB
Format:
Adobe Portable Document Format