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Mathematical Modelling of Endocrine Systems

Hormone rhythms are ubiquitous and essential to sustain normal physiological functions. Combined mathematical modelling and experimental approaches have shown that these rhythms result from regulatory processes occurring at multiple levels of organisation and require continuous dynamic equilibration...

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Detalles Bibliográficos
Autores principales: Zavala, Eder, Wedgwood, Kyle C.A., Voliotis, Margaritis, Tabak, Joël, Spiga, Francesca, Lightman, Stafford L., Tsaneva-Atanasova, Krasimira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Pub. Co 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425086/
https://www.ncbi.nlm.nih.gov/pubmed/30799185
http://dx.doi.org/10.1016/j.tem.2019.01.008
Descripción
Sumario:Hormone rhythms are ubiquitous and essential to sustain normal physiological functions. Combined mathematical modelling and experimental approaches have shown that these rhythms result from regulatory processes occurring at multiple levels of organisation and require continuous dynamic equilibration, particularly in response to stimuli. We review how such an interdisciplinary approach has been successfully applied to unravel complex regulatory mechanisms in the metabolic, stress, and reproductive axes. We discuss how this strategy is likely to be instrumental for making progress in emerging areas such as chronobiology and network physiology. Ultimately, we envisage that the insight provided by mathematical models could lead to novel experimental tools able to continuously adapt parameters to gradual physiological changes and the design of clinical interventions to restore normal endocrine function.