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Statistical modeling implicates neuroanatomical circuit mediating stress relief by ‘comfort’ food

机译:统计模型暗示神经解剖回路通过舒适食物来缓解压力

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摘要

A history of eating highly-palatable foods reduces physiological and emotional responses to stress. For instance, we have previously shown that limited sucrose intake (4 ml of 30% sucrose twice daily for 14 days) reduces hypothalamic-pituitary-adrenocortical (HPA) axis responses to stress. However, the neural mechanisms underlying stress relief by such ‘comfort’ foods are unclear, and could reveal an endogenous brain pathway for stress mitigation. As such, the present work assessed the expression of several proteins related to neuronal activation and/or plasticity in multiple stress- and reward-regulatory brain regions of rats after limited sucrose (vs. water control) intake. These data were then subjected to a series of statistical analyses, including Bayesian modeling, to identify the most likely neurocircuit mediating stress relief by sucrose. The analyses suggest that sucrose reduces HPA activation by dampening an excitatory basolateral amygdala - medial amygdala circuit, while also potentiating an inhibitory bed nucleus of the stria terminalis principle subdivision-mediated circuit, resulting in reduced HPA activation after stress. Collectively, the results support the hypothesis that sucrose limits stress responses via plastic changes to the structure and function of stress-regulatory neural circuits. The work also illustrates that advanced statistical methods are useful approaches to identify potentially novel and important underlying relationships in biological data sets.
机译:食用高口感食物的历史会减少对压力的生理和情感反应。例如,我们之前已经证明,限制摄入蔗糖(每天两次两次,每次4 ml 30%蔗糖,持续14天)可降低下丘脑-垂体-肾上腺皮质激素(HPA)轴对压力的反应。但是,通过这种“舒适”食物缓解压力的神经机制尚不清楚,并且可能揭示缓解压力的内源性大脑途径。因此,本研究评估了在摄入有限的蔗糖(相对于水控制)后,大鼠的多个应激和奖励调节脑区域中与神经元激活和/或可塑性相关的几种蛋白质的表达。然后对这些数据进行一系列的统计分析,包括贝叶斯建模,以找出最有可能通过蔗糖介导缓解压力的神经回路。分析表明,蔗糖可通过抑制兴奋性基底外侧杏仁核-杏仁核内侧回路来降低HPA活化,同时还增强了纹状体终末原理细分介导的回路的抑制床核,从而导致应激后HPA活化降低。总的来说,这些结果支持以下假设:蔗糖通过对压力调节神经回路的结构和功能的塑性变化来限制压力响应。这项工作还表明,先进的统计方法是识别生物数据集中潜在新颖和重要的潜在关系的有用方法。

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