Modeling the Dynamics of Gonadotropin‐Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle

Clément, Frédérique; Vidal, Alexandre

doi:10.1002/9781119159438.ch9

Cited by 2 publications

(4 citation statements)

References 37 publications

(27 reference statements)

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“…A series of modeling works was dedicated to designing and analyzing a model meeting all qualitative and quantitative specifications imposed by the neuroendocrinology of the ovarian cycle. The GnRH pulse and surge generator model was introduced in (Clément and Françoise, 2007), deeply analyzed mathematically in (Clément and Vidal, 2009), and thoroughly interpreted from the endocrinological viewpoint in (Vidal and Clément, 2010;Clément and Vidal, 2016). The model consists of a secreting system controlled by a regulating system.…”

Section: Gnrh Generatormentioning

confidence: 99%

Mathematical modeling approaches of cellular endocrinology within the hypothalamo-pituitary-gonadal axis

Clément

Crépieux

Yvinec

et al. 2020

Molecular and Cellular Endocrinology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Gnrh Generatormentioning

confidence: 99%

Mathematical modeling approaches of cellular endocrinology within the hypothalamo-pituitary-gonadal axis

Clément

Crépieux

Yvinec

et al. 2020

Molecular and Cellular Endocrinology

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“…the right sequence of secretory events) and quantitative (i.e. the frequency, duration, amplitude of secretory events) specifications drawn from experimental studies, which amounts to embedding time-and dose-dependent steroid control within the model (see further explanations in [3,12]). The model is able to meet precise quantitative relations between the secretion signal features.…”

Section: The Cyclic Transition From Gnrh Pulses To Gnrh Surgementioning

confidence: 99%

“…The GnRH surge triggers in turn the LH surge that induces the ovulation of the selected follicles. (Adapted from[12]). F. ClémentMultiscale modeling of the HHG axis Sketch of the simulation domain and microscopic outputs of the multiscale model for terminal follicular developmentTop panel : Functional domain in age (abscissa) and maturity (ordinate).…”

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Multiscale mathematical modeling of the hypothalamo-pituitary-gonadal axis

Clément

2016

Theriogenology

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Although the fields of systems and integrative biology are in full expansion, few teams are involved worldwide into the study of reproductive function from the mathematical modeling viewpoint. This may be due to the fact that the reproductive function is not compulsory for individual organism survival, even if it is for species survival. Alternatively, the complexity of reproductive physiology may be discouraging. Indeed, the hypothalamo-pituitary-gonadal (HPG) axis involves not only several organs and tissues but also intricate time (from the neuronal millisecond timescale to circannual rhythmicity) and space (from molecules to organs) scales. Yet, mathematical modeling, and especially multiscale modeling, can renew our approaches of the molecular, cellular, and physiological processes underlying the control of reproductive functions. In turn, the remarkable dynamic features exhibited by the HPG axis raise intriguing and challenging questions to modelers and applied mathematicians. In this article, we draw a panoramic review of some mathematical models designed in the framework of the female HPG, with a special focus on the gonadal and central control of follicular development. On the gonadal side, the modeling of follicular development calls to the generic formalism of structured cell populations, that allows one to make mechanistic links between the control of cell fate (proliferation, differentiation, or apoptosis) and that of the follicle fate (ovulation or degeneration) or to investigate how the functional interactions between the oocyte and its surrounding cells shape the follicle morphogenesis. On the central, mainly hypothalamic side, models based on dynamical systems with multiple timescales allow one to represent within a single framework both the pulsatile and surge patterns of the neurohormone GnRH. Beyond their interest in basic research investigations, mathematical models can also be at the source of useful tools to study the encoding and decoding of the (neuro-) hormonal signals at play within the HPG axis and detect complex, possibly hidden rhythms, in experimental time series.

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Modeling the Dynamics of Gonadotropin‐Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle

Cited by 2 publications

References 37 publications

Mathematical modeling approaches of cellular endocrinology within the hypothalamo-pituitary-gonadal axis

Mathematical modeling approaches of cellular endocrinology within the hypothalamo-pituitary-gonadal axis

Multiscale mathematical modeling of the hypothalamo-pituitary-gonadal axis

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