首页> 外文期刊>Mathematical Biosciences: An International Journal >Mathematical modeling of the hypothalamic-pituitary-adrenal gland (HPA) axis, including hippocampal mechanisms
【24h】

Mathematical modeling of the hypothalamic-pituitary-adrenal gland (HPA) axis, including hippocampal mechanisms

机译:下丘脑-垂体-肾上腺(HPA)轴的数学模型,包括海马机制

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This paper presents a mathematical model of the HPA axis. The HPA axis consists of the hypothalamus, the pituitary and the adrenal glands in which the three hormones CRH, ACTH and cortisol interact through receptor dynamics. Furthermore, it has been suggested that receptors in the hippocampus have an influence on the axis.A model is presented with three coupled, non-linear differential equations, with the hormones CRH, ACTH and cortisol as variables. The model includes the known features of the HPA axis, and includes the effects from the hippocampus through its impact on CRH in the hypothalamus. The model is investigated both analytically and numerically for oscillating solutions, related to the ultradian rhythm seen in data, and for multiple fixed points related to hypercortisolemic and hypocortisolemic depression.The existence of an attracting trapping region guarantees that solution curves stay non-negative and bounded, which can be interpreted as a mathematical formulation of homeostasis. No oscillating solutions are present when using physiologically reasonable parameter values. This indicates that the ultradian rhythm originate from different mechanisms.Using physiologically reasonable parameters, the system has a unique fixed point, and the system is globally stable. Therefore, solutions converge to the fixed point for all initial conditions. This is in agreement with cortisol levels returning to normal, after periods of mild stress, in healthy individuals.Perturbing parameters lead to a bifurcation, where two additional fixed points emerge. Thus, the system changes from having a unique stable fixed point into having three fixed points. Of the three fixed points, two are stable and one is unstable. Further investigations show that solutions converge to one of the two stable fixed points depending on the initial conditions. This could explain why healthy people becoming depressed usually fall into one of two groups: a hypercortisolemic depressive group or a hypocortisolemic depressive group.
机译:本文介绍了HPA轴的数学模型。 HPA轴由下丘脑,垂体和肾上腺组成,其中三种激素CRH,ACTH和皮质醇通过受体动力学相互作用。此外,已经提出海马中的受体对轴有影响。模型以三个耦合的非线性微分方程为模型,其中激素CRH,ACTH和皮质醇为变量。该模型包括HPA轴的已知特征,并包括海马对下丘脑CRH的影响。对该模型进行了解析和数值研究,研究了与数据中所见的超旋律有关的振荡解以及与高皮质和皮质下抑制相关的多个固定点。吸引区域的存在保证了溶液曲线保持非负且有界,可以解释为体内稳态的数学公式。使用生理上合理的参数值时,不存在振荡溶液。这表明超节奏是由不同的机制引起的,利用生理上合理的参数,系统具有唯一的固定点,并且系统是全局稳定的。因此,对于所有初始条件,解都收敛到固定点。这与健康个体在经历轻度压力后的皮质醇水平恢复正常相一致。摄动参数导致分叉,出现两个额外的固定点。因此,系统从具有唯一稳定的固定点变为具有三个固定点。在这三个固定点中,两个是稳定的,一个是不稳定的。进一步的研究表明,取决于初始条件,解收敛于两个稳定的固定点之一。这可以解释为什么健康人变得抑郁的原因通常分为以下两组之一:皮质类固醇过多症或皮质类固醇不足症。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号