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Models in neuroendocrinology
Gareth Leng1, Duncan J MacGregor1
1Centre for Discovery Brain Sciences, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh EH8 9XD, UK.
Mathematical Biosciences
|August 4, 2018
Summary
Neuroendocrine systems control vital functions. Mathematical modeling reveals insights into hormone secretion, like vasopressin, and the complex advantage of pulsatility in brain function.
Area of Science:
- Neuroendocrinology
- Computational Neuroscience
- Systems Biology
Background:
- Hypothalamic neuroendocrine systems are crucial for survival and reproduction.
- These systems regulate metabolism, stress, and electrolyte balance.
- Pituitary hormones are typically secreted in pulsatile patterns.
Purpose of the Study:
- To explore the complex mechanisms of neuroendocrine regulation.
- To investigate the role of mathematical modeling in understanding these systems.
- To examine the advantage of pulsatile hormone secretion.
Main Methods:
- Mathematical modeling of single-cell activity, receptor signaling, gene expression, and network dynamics.
- Analysis of hormone dynamics across multiple temporal scales.
- Modeling of feedback loops and physiological processes like the menstrual cycle.
Main Results:
- Models encompass diverse temporal scales, from cellular activity to whole-organism dynamics.
- Vasopressin secretion provides an exception, demonstrating a graded response from bursting neural activity.
- Nonlinearity and multiple temporal scales complicate mechanistic understanding.
Conclusions:
- Mathematical modeling is essential for deciphering complex neuroendocrine mechanisms.
- The precise advantage of pulsatility in hormone secretion remains a key research question.
- Neuroendocrine systems offer novel insights into brain function beyond conventional views.
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