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关于基于活动的厌食症的易感性和恢复力以及多巴胺作用的评论

Commentary on Vulnerability and Resilience to Activity-Based Anorexia and the Role of Dopamine.

作者信息

Beeler Jeff A, Burghardt Nesha S

机构信息

Department of Psychology, Queens College, CUNY, Flushing, NY, 11367 USA.

Department of Psychology, The Graduate Center, CUNY, New York, NY, 10016 USA.

出版信息

J Exp Neurol. 2021 Mar;2(1):21-28.

Abstract

Activity-based anorexia (ABA) is a commonly used rodent model of anorexia nervosa that is based on observations made in rats decades ago. In recently published work, we describe using this paradigm to model vulnerability and resilience to anorexia nervosa in mice, where vulnerability is characterized by hyperactivity and life-threatening weight loss and resilience is characterized by adaptation and weight stabilization. Using genetically modified hyperdopaminergic mice, we also demonstrate that increased dopamine augments vulnerability to ABA. Here, we briefly review our findings and discuss how obtaining vulnerable and resilient phenotypes enhances utility of the ABA model for understanding the neurobiological basis of anorexia nervosa. We comment on our dopamine findings and close by discussing implications for clinical treatment.

摘要

基于活动的厌食症(ABA)是一种常用的神经性厌食症啮齿动物模型,它基于几十年前在大鼠身上的观察结果。在最近发表的研究中,我们描述了使用这种范式来模拟小鼠对神经性厌食症的易感性和恢复力,其中易感性表现为多动和危及生命的体重减轻,恢复力表现为适应和体重稳定。通过基因改造的高多巴胺能小鼠,我们还证明多巴胺增加会增强对ABA的易感性。在这里,我们简要回顾我们的发现,并讨论获得易感性和恢复力表型如何提高ABA模型在理解神经性厌食症神经生物学基础方面的效用。我们对多巴胺的研究结果进行评论,并最后讨论其对临床治疗的意义。

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Vulnerable and Resilient Phenotypes in a Mouse Model of Anorexia Nervosa.厌食症小鼠模型中的脆弱和弹性表型。
Biol Psychiatry. 2021 Dec 15;90(12):829-842. doi: 10.1016/j.biopsych.2020.06.030. Epub 2020 Jul 16.

本文引用的文献

1
Vulnerable and Resilient Phenotypes in a Mouse Model of Anorexia Nervosa.厌食症小鼠模型中的脆弱和弹性表型。
Biol Psychiatry. 2021 Dec 15;90(12):829-842. doi: 10.1016/j.biopsych.2020.06.030. Epub 2020 Jul 16.
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Eating Behavior and the Evolutionary Perspective on Anorexia Nervosa.饮食行为与神经性厌食症的进化视角
Front Neurosci. 2019 Jun 13;13:596. doi: 10.3389/fnins.2019.00596. eCollection 2019.

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