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来源:百度文库 编辑:查人人中国名人网 时间:2024/05/02 01:26:21
Central nervous system control of food intake
New information regarding neuronal circuits that control food intake and their hormonal regulation has extended our understanding of energy homeostasis, the process whereby energy intake is matched to energy expenditure over time. The profound obesity that results in rodents (and in the rare human case as well) from mutation of key signalling molecules involved in this regulatory system highlights its importance to human health. Although each new signalling pathway discovered in the hypothalamus is a potential target for drug development in the treatment of obesity, the growing number of such signalling molecules indicates that food intake is controlled by a highly complex process. To better understand how energy homeostasis can be achieved, we describe a model that delineates the roles of individual hormonal and neuropeptide signalling pathways in the control of food intake and the means by which obesity can arise from inherited or acquired defects in their function.

For most of us, the composition and amount of food that we eat varies considerably from one meal to the next and from one day to the next. Our common experience, therefore, seems at odds with the hypothesis that food intake is highly regulated. Emotions, social factors, time of day, convenience and cost are but a few of the variables that are not biologically regulated, but nonetheless affect meal-to-meal energy intake. As a consequence, daily energy intake is variable both within and among individuals, and is not well correlated with daily energy expenditure1. Despite short-term mismatches in energy balance, however, most of us match cumulative energy intake to energy expenditure with great precision when measured over a period that spans many meals1. This phenomenon reflects an active regulatory process, termed energy homeostasis, that promotes stability in the amount of body energy stored in the form of fat. Although it is overly simplistic to reduce a behaviour as complex as feeding to a series of molecular interactions, discoveries over the past few years have identified signalling molecules that affect food intake and that are critical for normal energy homeostasis. The application of molecular genetics to mice has been especially important in this effort. For example, several monogenic forms of human obesity were identified by searching for mutations homologous to those causing obesity in mice2–5.

食品吸入的中心的神经系统控制
新关于控制食品吸入的neuronal电路的信息和他们的激素的规章已经延长我们的理解精力自动平衡, 过程凭此能源入口给能源消费额外匹配。 深深的肥胖症, 那产生在里 从说明涉及这调节系统最精彩场面的分子的钥匙的变化它的重要性到人健康的啮齿动物(并且也在稀有的人病例里)。 虽然在hypothalamus里发现的每条新用信号通知的小路是在治疗肥胖症方面的药发展的一个潜在的目标, 日益增多的这样用信号通知以致于分子表明食品吸入被一个非常复杂的过程控制的数量。 更好理解能量自动平衡怎样可能被取得, 我们描述一个模型, 那刻划个别激素的角色和neuropeptide(受食品吸入和方法控制说明小路通过), 那肥胖症能用他们的功能起因于继承或者获得的缺陷。

面向我们中大多数人, 我们吃的食品的组成和数量变化相当大从一顿饭到下一个和从一天到下一个。 我们的普通经验, 因此,好像与食品吸入被非常调节的假说不和。 情感,社会因素,天的时间,除了没被生物学调节的变量中的一些,便利和费用, 但是不过影响饭对饭的能量吸入。 因此,入口每日能源易变两个在个人内和个人在,并且不被很好地与有关每日expenditure1能源。 尽管在能量平衡过程中的短期的不匹配,但是, 当被在包括很多meals1的一个时期期间测量时,我们中大多数人大的正确地使累积的精力吸入和能源消费相等。 这个现象反映出一个活跃的规章的过程,称能量为自动平衡,在以脂肪的形式储存的身体能量的数量方面促进稳定。 虽然降低象对一系列分子相互作用喂一样复杂的行为是过度过分简化的, 发现在过去几年中鉴定用信号通知分子影响食品入口和那是正常的能源自动平衡的关健。 对老鼠的分子遗传学的应用在这次努力里特别重要。 例如,人肥胖症的几个单基因的形式通过寻找在mice2 5 对那些引起的肥胖症同系的变化被鉴定。

七、中枢神经系统控制食物摄入 有关新神经电路,控制饮食和药品管制范围的认识homeo能源、能源的过程,同时摄取能源开支. 肥胖深刻,结果老鼠(人类罕见的案例也)变种关键信号分子参与这一重点监管制度,对人体健康的重要性. 虽然每一个新的发现表明所谓的丘脑是一个潜在的发展对象的药物治疗肥胖,越来越多的信号分子显示控制饮食是一个非常复杂的过程. 了解如何homeo能量,就可以把我们的模式,勾勒了激素作用和个人neuropeptide信号通路在控制食物摄入量与肥胖的方法,可以产生遗传缺陷或后天的功能. 对于大多数人来说,食品的数量和结构,我们吃一顿,有很大的出入,未来有一天,从未来. 我们共同的经验,因此,似乎不符合这种假设,认为饮食是严格管制. 情感、社会因素,时间、成本及方便而已变数不是生物规范,但影响膳食中摄取能量餐. 因此,每天摄入能量和内部因素是个人之间,并没有很好地配合能源expenditure1日报. 尽管短期现象能源平衡,最符合美国的能源开支累积能量摄入时十分精确测量一段时期,许多meals1跨越. 这种现象反映了积极的监管过程中,称为homeo能源、促进稳定的数额身体脂肪的形式储存能量. 虽然过于简单化降低了复杂行为提供了一系列分子的相互作用,发现过去几年已确定信号分子,影响食物摄取,对于能源homeo正常. 应用分子遗传给老鼠尤为重要,在这方面作出努力. 例如,有些人的肥胖monogenic形式确定了类似的搜寻突变造成的肥胖mice25.

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食物摄取的中央神经系统控制
控制食物摄取而且他们的荷尔蒙规则的关于 neuronal 线路的新数据已经延长我们的能源体内平衡的理解, 能量摄取随着时间的过去被相配到能源开支的程序。 造成来自在这个管制的系统加亮区中向分子作信号的钥匙的变化的老鼠 (和在稀有的人类情形恐怕最好) 的极深的肥胖牵涉了对人类的健康它的重要性。 虽然每个新的 s