The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California.
Physiology and Behavior Laboratory, Eidgenössische Technische Hochschule-Zürich, Schwerzenbach, Switzerland.
Physiol Rev. 2022 Apr 1;102(2):689-813. doi: 10.1152/physrev.00028.2020. Epub 2021 Sep 6.
During the past 30 yr, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable degree of cell specificity, particularly at the cell signaling level, and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections: a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain that are defined by specific neural connections. We begin by discussing some fundamental concepts, including ones that still engender vigorous debate, that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.
在过去的 30 年中,对饮食行为生理学的研究产生了大量文献。部分原因是肥胖及其合并症的急剧增加,而这与基于遗传的操作技术的日益复杂相吻合。这些技术产生了具有显著细胞特异性的结果,尤其是在细胞信号水平,并且在推动该领域的发展方面发挥了主导作用。然而,要将这些发现置于将生理信号和神经元与行为和躯体生理学联系起来的全脑范围内,需要彻底考虑神经元连接:这个领域也经历了一场非凡的技术革命。我们的目标是全面、平衡地评估与能量稳态相关的生理信号如何在许多大脑水平上相互作用,以控制饮食行为。一个主要主题是,这些信号在整个大脑中参与了一系列相互作用的神经网络,这些网络由特定的神经连接定义。我们首先讨论了一些基本概念,包括一些仍然引发激烈争论的概念,这些概念为理解大脑如何控制进食开始和结束提供了必要的框架。这些概念包括关键词定义、ATP 作为能量稳态关键调节变量的可用性、神经肽信号、稳态和享乐性进食以及进食结构。在这个背景下,我们讨论了终脑(或大脑)、下丘脑、后脑、延髓、迷走神经和脊髓中的关键区域如何与胃肠道一起协同工作,以实现允许动物在各种情况下进食的复杂运动事件的网络模型。