Mathematical Modelling of Endocrine Systems
dc.contributor.author | Zavala, E | |
dc.contributor.author | Wedgwood, KCA | |
dc.contributor.author | Voliotis, M | |
dc.contributor.author | Tabak, J | |
dc.contributor.author | Spiga, F | |
dc.contributor.author | Lightman, SL | |
dc.contributor.author | Tsaneva-Atanasova, K | |
dc.date.accessioned | 2019-02-22T15:04:17Z | |
dc.date.issued | 2019-02-21 | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.identifier.citation | Published online 21 February 2019 | en_GB |
dc.identifier.doi | 10.1016/j.tem.2019.01.008 | |
dc.identifier.grantnumber | MR/P014747/1 | en_GB |
dc.identifier.grantnumber | MR/P01478X/1 | en_GB |
dc.identifier.grantnumber | MR/J008893/1 | en_GB |
dc.identifier.grantnumber | EP/N014391/1 | en_GB |
dc.identifier.grantnumber | WT105618MA | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36027 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | hormone dynamics | en_GB |
dc.subject | regulatory networks | en_GB |
dc.subject | circadian rhythms | en_GB |
dc.subject | ultradian oscillations | en_GB |
dc.subject | chronotherapy | en_GB |
dc.subject | hybrid systems | en_GB |
dc.title | Mathematical Modelling of Endocrine Systems | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-02-22T15:04:17Z | |
dc.identifier.issn | 1043-2760 | |
dc.description | This is the final (in press) version. Available from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Trends in Endocrinology and Metabolism | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-01-25 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-01-25 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-02-22T14:59:49Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-02-22T15:04:19Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).