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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Pub. Co
2019
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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 |
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author | Zavala, Eder Wedgwood, Kyle C.A. Voliotis, Margaritis Tabak, Joël Spiga, Francesca Lightman, Stafford L. Tsaneva-Atanasova, Krasimira |
author_facet | Zavala, Eder Wedgwood, Kyle C.A. Voliotis, Margaritis Tabak, Joël Spiga, Francesca Lightman, Stafford L. Tsaneva-Atanasova, Krasimira |
author_sort | Zavala, Eder |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6425086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Science Pub. Co |
record_format | MEDLINE/PubMed |
spelling | pubmed-64250862019-04-01 Mathematical Modelling of Endocrine Systems Zavala, Eder Wedgwood, Kyle C.A. Voliotis, Margaritis Tabak, Joël Spiga, Francesca Lightman, Stafford L. Tsaneva-Atanasova, Krasimira Trends Endocrinol Metab Article 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. Elsevier Science Pub. Co 2019-04 /pmc/articles/PMC6425086/ /pubmed/30799185 http://dx.doi.org/10.1016/j.tem.2019.01.008 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zavala, Eder Wedgwood, Kyle C.A. Voliotis, Margaritis Tabak, Joël Spiga, Francesca Lightman, Stafford L. Tsaneva-Atanasova, Krasimira Mathematical Modelling of Endocrine Systems |
title | Mathematical Modelling of Endocrine Systems |
title_full | Mathematical Modelling of Endocrine Systems |
title_fullStr | Mathematical Modelling of Endocrine Systems |
title_full_unstemmed | Mathematical Modelling of Endocrine Systems |
title_short | Mathematical Modelling of Endocrine Systems |
title_sort | mathematical modelling of endocrine systems |
topic | Article |
url | 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 |
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