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Visualising homeostatic and hedonistic appetite in rats using functional MRI.

Visualising homeostatic and hedonistic appetite in rats using functional MRI.
使用功能性 MRI 可视化大鼠的稳态和享乐食欲。
批准号:
BB/D008689/1
负责人:
Simon Luckman
金额:
$37.34万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --

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中文摘要
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英文摘要
The biggest health issue facing the UK is the increasing prevalence of obesity (excess storage of fat). We live in a society where energy-rich food is generally cheap and easily available, and where we have very sedentary life styles. Therefore, our natural ability to regulate our body weight is being undermined. Obese and even moderately-overweight individuals have greatly increased chances of developing diabetes, vascular diseases and cancer: making the treatment of obesity-related diseases an enormous burden on the National Health Service and similar agencies around the world. Many organs, including fat tissue, the liver and the pancreas, interact to regulate both our body weight and the availability of the fuels that we need for our bodies to function normally. However, it is the brain that co-ordinates this regulation. Thus, we need to understand how the brain detects and responds to all the different sources of information that ultimately determine how much we eat and how much body fat that we store. It is not surprising that, due to the complexity of the brain, we still have only a limited understanding of how this organ carries out the function. The brain has complex circuits that act to try and balance our food intake to our energy needs. Unfortunately, in humans appetite is controlled less by physiological requirements and more by other factors such as what time of the day it is, if we like or dislike the food that is available or if we are eating with other people. One of the biggest problems with controlling our eating is that it is a pleasurable and sociable experience. Thus, we tend to choose sweet or fatty foods / the worst kind if we wish to reduce our weight / and we tend to eat even if when we are replete. We will develop cutting-edge technology to image the brain's response to a number of different stimuli that affect appetite. Thus, using a powerful magnetic resonance imaging (MRI) machine, similar to that used in everyday clinical diagnosis, we will determine which part of a rat's brain is important for detecting and responding to these signals. We will test a number of stimuli that increase appetite in order to assess how different parts of the brain interact. As the rat is anaesthetised throughout the imaging, the stimuli will artificially mimic the feelings of hunger and the pleasure of eating. We will use this information to understand normal brain functioning, how this may differ with the development of obesity and how treatments may be able to help. This knowledge will benefit academics, health professionals and the pharmaceutical industry, enabling them to improve care and to develop drugs for problems as diverse as obesity and anorexia.
期刊论文(7)
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会议论文
5-HT(2C) antagonism blocks blood oxygen level-dependent pharmacological-challenge magnetic resonance imaging signal in rat brain areas related to feeding.
5-HT(2C) 拮抗作用可阻断与进食相关的大鼠大脑区域中血氧水平依赖性药理挑战磁共振成像信号。
DOI: 10.1111/j.1460-9568.2007.06002.x
发表时间: 2008
期刊: The European journal of neuroscience
影响因子: --
作者: [Stark JA]
通讯作者: Stark JA
IPA: Mechanisms that elicit weight loss with selective peptide agonism
  • 批准号:
    BB/W000989/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $74.35万
  • 财政年份:
    2022
  • 负责人:
    Simon Luckman
  • 依托单位:
The brainstem signals dual motivational valence following ingestion
  • 批准号:
    MR/T032669/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $66.63万
  • 财政年份:
    2020
  • 负责人:
    Simon Luckman
  • 依托单位:
IPA: Anorectic signaling by the central GDF15/GFRAL system
  • 批准号:
    BB/S008098/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $59.55万
  • 财政年份:
    2019
  • 负责人:
    Simon Luckman
  • 依托单位:
Oxytocin pathways affecting metabolism
  • 批准号:
    MR/P024017/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $56.77万
  • 财政年份:
    2017
  • 负责人:
    Simon Luckman
  • 依托单位:
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