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内分泌系统的数学建模

Mathematical Modelling of Endocrine Systems.

作者信息

Zavala Eder, Wedgwood Kyle C A, Voliotis Margaritis, Tabak Joël, Spiga Francesca, Lightman Stafford L, Tsaneva-Atanasova Krasimira

机构信息

Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.

Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4QD, UK; Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter EX4 4QD, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK.

出版信息

Trends Endocrinol Metab. 2019 Apr;30(4):244-257. doi: 10.1016/j.tem.2019.01.008. Epub 2019 Feb 21.

DOI:10.1016/j.tem.2019.01.008
PMID:30799185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6425086/
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.

摘要

激素节律普遍存在,对于维持正常生理功能至关重要。数学建模与实验方法相结合表明,这些节律源于组织多个层面发生的调节过程,需要持续的动态平衡,尤其是对刺激做出反应时。我们回顾了这种跨学科方法如何成功应用于揭示代谢、应激和生殖轴中的复杂调节机制。我们讨论了这种策略如何可能有助于在诸如生物钟学和网络生理学等新兴领域取得进展。最终,我们设想数学模型提供的见解可能会催生新的实验工具,能够根据逐渐的生理变化不断调整参数,并设计出恢复正常内分泌功能的临床干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/d7a3f68208c7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/1f4994e76b91/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/579771c75aac/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/c2fd4a9a9f74/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/d7a3f68208c7/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/1f4994e76b91/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/579771c75aac/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/c2fd4a9a9f74/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/559d/6425086/d7a3f68208c7/gr4.jpg

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Chemogenetic activation of PVN CRH neurons disrupts the estrous cycle and LH dynamics in female mice.PVN CRH 神经元的化学遗传学激活会破坏雌性小鼠的动情周期和 LH 动力学。
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