Current Genetic Techniques in Neural Circuit Control of Feeding and Energy Metabolism.
Current Genetic Techniques in Neural Circuit Control of Feeding and Energy Metabolism.
复制标题
当前进食和能量代谢神经回路控制的遗传技术。
DOI：
10.1007/978-981-13-1286-1_12
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发表时间：
2018
影响因子：
--
通讯作者：
Tong,Qingchun
中科院分区：
文献类型：
--
作者：
Wu,Qi;Han,Yong;Tong,Qingchun
当前肥胖及其相关代谢综合征的流行给我们的社会带来了前所未有的挑战。尽管对肥胖发病机制的研究十分深入，但仍缺乏有效的治疗策略。肥胖的发展是由于进食和能量消耗的稳态控制受到干扰，这两者都是由大脑中复杂的神经网络控制的。鉴于大脑网络在控制进食和能量消耗方面的固有复杂性，对肥胖发展的脑病理生理学的理解是有限的。在解剖神经通路的喂养和能量消耗的一个关键限制因素是不可用的技术，可以用来有效地减少大脑网络的复杂性，以一个易于处理的范例，在此基础上，一个强有力的假设可以进行测试。令人兴奋的是，新兴技术已经涉及能够将特定的神经元组和神经通路与行为联系起来（即，进食和能量消耗）。在本章中，将讨论新技术，特别是基于动物模型和病毒载体方法的技术。我们希望本章将为读者提供一个基础，可以帮助理解使用这些技术的文献，并指导应用这些令人兴奋的技术来研究摄食和能量消耗的大脑机制。
The current epidemic of obesity and its associated metabolic syndromes imposes unprecedented challenges to our society. Despite intensive research focus on obesity pathogenesis, an effective therapeutic strategy to treat and cure obesity is still lacking. The obesity development is due to a disturbed homeostatic control of feeding and energy expenditure, both of which are controlled by an intricate neural network in the brain. Given the inherent complexity of brain networks in controlling feeding and energy expenditure, the understanding of brain-based pathophysiology for obesity development is limited. One key limiting factor in dissecting neural pathways for feeding and energy expenditure is unavailability of techniques that can be used to effectively reduce the complexity of the brain network to a tractable paradigm, based on which a strong hypothesis can be tested. Excitingly, emerging techniques have been involved to be able to link specific groups of neurons and neural pathways to behaviors (i.e., feeding and energy expenditure). In this chapter, novel techniques especially those based on animal models and viral vector approaches will be discussed. We hope that this chapter will provide readers with a basis that can help to understand the literatures using these techniques and with a guide to apply these exciting techniques to investigate brain mechanisms underlying feeding and energy expenditure.