Mathematical Modelling of Endocrine Systems

Eder Zavala, Kyle C A Wedgwood, Margaritis Voliotis, Joël Tabak, Francesca Spiga, Stafford Lightman, Krasimira Tsaneva-Atanasova

Research output: Contribution to journalReview article (Academic Journal)

6 Citations (Scopus)
122 Downloads (Pure)

Abstract

Combining appropriate mathematical models with carefully designed experiments offers great potential to understand complex endocrine regulation at multiple levels of organisation.

Understanding the mechanisms underlying coordinated, rhythmic insulin secretion requires novel mathematical and computational methods that consider the pancreatic islet as a network of beta cells.

Mathematical models, in combination with experimental physiology, have uncovered the mechanisms by which glucocorticoid hormones exhibit normal ultradian pulsatility and respond rapidly to stressors, including during inflammation.

Supported by optogenetic experiments, a hypothalamic neural network comprising kisspeptin secretory neurons has been postulated as driving pulsatile GnRH dynamics involved in the regulation of the reproductive cycle.

The dynamic clamp, a hybrid system integrating electrophysiological measurements with mathematical modelling, enables the interactive manipulation of key parameters in real time.
Original languageEnglish
Pages (from-to)244-257
Number of pages14
JournalTrends in Endocrinology and Metabolism
Volume30
Issue number4
Early online date22 Feb 2019
DOIs
Publication statusPublished - Apr 2019

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  • Cite this

    Zavala, E., Wedgwood, K. C. A., Voliotis, M., Tabak, J., Spiga, F., Lightman, S., & Tsaneva-Atanasova, K. (2019). Mathematical Modelling of Endocrine Systems. Trends in Endocrinology and Metabolism, 30(4), 244-257. https://doi.org/10.1016/j.tem.2019.01.008