Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Children's Nutrition Research Center, Research Service of Department of Agriculture of USA, Houston, TX, USA.
Adv Exp Med Biol. 2018;1090:211-233. doi: 10.1007/978-981-13-1286-1_12.
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.
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。尽管人们对肥胖发病机制进行了深入研究,但仍缺乏有效的治疗和治愈肥胖的策略。肥胖的发展是由于进食和能量消耗的体内平衡控制受到干扰,而这两者都受到大脑中复杂神经网络的控制。鉴于控制进食和能量消耗的大脑网络固有的复杂性,对肥胖发展的基于大脑的病理生理学的理解是有限的。解析进食和能量消耗的神经通路的一个关键限制因素是缺乏能够有效降低大脑网络复杂性的技术,以便基于该技术测试强有力的假设。令人兴奋的是,新兴技术已经被用于将特定的神经元群和神经通路与行为(即进食和能量消耗)联系起来。在这一章中,将讨论新的技术,特别是基于动物模型和病毒载体方法的技术。我们希望本章能为读者提供一个基础,帮助他们理解使用这些技术的文献,并指导他们应用这些令人兴奋的技术来研究进食和能量消耗的大脑机制。