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Deductive Functional Assignment of Elements in Appetite Regulation
Journal of Biological Physics ( IF 1.8 ) Pub Date : 2008-07-19 , DOI: 10.1007/s10867-008-9087-y
Dirk Langemann 1 , Achim Peters
Affiliation  

This paper presents a simple mathematical model for energy transport from the body into the brain and for appetite regulation. Particular properties in appetite regulation are deduced from the general observation of cyclic food intake. These particular properties are the importance of a push component, however small it may be, from the body into the brain, the dependence of the appetite activation on the energy supply level in the brain and a necessary condition for the sensitivity of this dependence. The dominant pull component in the energy transport is accompanied by a smaller push component managing this information transport. The properties listed above correspond to physiological observations. For instance, sensitivity is found in the postnatal development of projections between neuropeptide Y (NPY) neurons and pro-opiomelanocortin (POMC) neurons, which release, respectively, the appetite-amplifying and -reducing neuropeptides NPY and α-melanocyte-stimulating hormone at their nerve terminals. The development of these projections determines the change from the permanent feeding of the foetus into the cyclic ingestive behaviour in later life. The correspondence verifies the mathematically-deduced properties, justifies the simple model and supports the technique of the deductive functional assignment.

中文翻译:

食欲调节要素的演绎功能分配

本文提出了一个简单的数学模型,用于从身体到大脑的能量传输和食欲调节。食欲调节的特殊性质是从循环食物摄入的一般观察中推导出来的。这些特殊的特性是推动组件的重要性,无论它有多小,从身体到大脑,食欲激活对大脑能量供应水平的依赖性,以及这种依赖性敏感性的必要条件。能量传输中的主要拉动组件伴随着管理该信息传输的较小的推动组件。上面列出的特性对应于生理观察。例如,在神经肽 Y (NPY) 神经元和阿片黑素原 (POMC) 神经元之间的投射发育中发现了敏感性,它们分别在其神经末梢释放增加食欲和减少食欲的神经肽 NPY 和 α-黑色素细胞刺激素. 这些预测的发展决定了从胎儿的永久喂养转变为以后生活中的周期性摄食行为。对应关系验证了数学推导出的属性,证明了简单模型的合理性并支持了演绎函数分配技术。这些预测的发展决定了从胎儿的永久性喂养转变为以后生活中的周期性摄食行为。对应关系验证了数学推导出的属性,证明了简单模型的合理性并支持了演绎函数分配技术。这些预测的发展决定了从胎儿的永久性喂养转变为以后生活中的周期性摄食行为。对应关系验证了数学推导出的属性,证明了简单模型的合理性并支持了演绎函数分配技术。
更新日期:2008-07-19
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