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Mathematical modelling of the oxytocin and vasopressin secretory system

Magnocellular oxytocin and vasopressin neurons of the hypothalamus project to the posterior pituitary where they secrete their peptide hormone signals directly into the bloodstream. Their large anatomically distinct secretory mechanisms provide a uniquely accessible system in which to unite experime...

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Detalles Bibliográficos
Autor principal: MacGregor, Duncan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823086/
https://www.ncbi.nlm.nih.gov/pubmed/36632281
http://dx.doi.org/10.1016/j.coemr.2022.100341
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author MacGregor, Duncan J.
author_facet MacGregor, Duncan J.
author_sort MacGregor, Duncan J.
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description Magnocellular oxytocin and vasopressin neurons of the hypothalamus project to the posterior pituitary where they secrete their peptide hormone signals directly into the bloodstream. Their large anatomically distinct secretory mechanisms provide a uniquely accessible system in which to unite experimental and modelling approaches in the investigation of how input signals and electrophysiological properties of neurons relate to physiological function. We describe how the mechanisms have been translated and assembled into a mathematical model representation that can explain and simulate the complex and highly non-linear stimulus-secretion coupling of these neurons, and how this model has been applied to further understand these systems.
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spelling pubmed-98230862023-01-09 Mathematical modelling of the oxytocin and vasopressin secretory system MacGregor, Duncan J. Curr Opin Endocr Metab Res Article Magnocellular oxytocin and vasopressin neurons of the hypothalamus project to the posterior pituitary where they secrete their peptide hormone signals directly into the bloodstream. Their large anatomically distinct secretory mechanisms provide a uniquely accessible system in which to unite experimental and modelling approaches in the investigation of how input signals and electrophysiological properties of neurons relate to physiological function. We describe how the mechanisms have been translated and assembled into a mathematical model representation that can explain and simulate the complex and highly non-linear stimulus-secretion coupling of these neurons, and how this model has been applied to further understand these systems. Elsevier Ltd 2022-06 /pmc/articles/PMC9823086/ /pubmed/36632281 http://dx.doi.org/10.1016/j.coemr.2022.100341 Text en © 2022 The Author https://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
MacGregor, Duncan J.
Mathematical modelling of the oxytocin and vasopressin secretory system
title Mathematical modelling of the oxytocin and vasopressin secretory system
title_full Mathematical modelling of the oxytocin and vasopressin secretory system
title_fullStr Mathematical modelling of the oxytocin and vasopressin secretory system
title_full_unstemmed Mathematical modelling of the oxytocin and vasopressin secretory system
title_short Mathematical modelling of the oxytocin and vasopressin secretory system
title_sort mathematical modelling of the oxytocin and vasopressin secretory system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823086/
https://www.ncbi.nlm.nih.gov/pubmed/36632281
http://dx.doi.org/10.1016/j.coemr.2022.100341
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