课题基金 / 基金详情

Developmental Clinical Studies - Phase 1 studies on an analogue of peptide YY as a treatment for obesity

Developmental Clinical Studies - Phase 1 studies on an analogue of peptide YY as a treatment for obesity
发育临床研究 - 肽 YY 类似物治疗肥胖的 1 期研究
批准号:
G1000474/1
负责人:
Stephen Bloom
金额:
$350.04万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --

项目摘要

项目成果

Stephen Bloom的其他基金

相似基金

相关文献

中文摘要
翻译
当人类进食时,肠道会自然分泌化学物质进入血液,使人感到饱腹,从而停止进食。其中一种化学物质被称为肽YY(PYY)。我们之前已经证明,注射人PYY会降低食欲和食物摄入量。我们现在已经开发出一种非常相似的化学物质Y242,用于治疗肥胖症。Y242已经在动物身上进行了测试,并已被证明是安全的,并降低他们的食欲。这项研究将测试Y242在人体中的安全性和耐受性。
英文摘要
When humans eat, the bowels naturally secrete chemicals into the bloodstream which make people feel full and which stop eating. One of these chemicals is known as Peptide YY (PYY). We have previously shown that injections of human PYY reduce appetite and food intake. We have now developed a very similar chemical, Y242, as a treatment for obesity. Y242 has been tested in animals and has been shown to be safe, and to reduce their appetite. This study will test Y242 for its safety and tolerability in humans.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Next generation Y analogue for treatment of obesity
  • 批准号:
    MR/L013088/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $519.47万
  • 财政年份:
    2014
  • 负责人:
    Stephen Bloom
  • 依托单位:
Do gut hormones mediate the beneficial effects of Roux-en-Y bypass surgery?
  • 批准号:
    MR/K02115X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $327.22万
  • 财政年份:
    2013
  • 负责人:
    Stephen Bloom
  • 依托单位:
Developmental Clinical Studies - Curing Obesity with the 'Medical Bypass'
  • 批准号:
    MR/J010731/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $378.22万
  • 财政年份:
    2013
  • 负责人:
    Stephen Bloom
  • 依托单位:
Treatment of obesity by long acting analogues of peptide YY (PYY)
  • 批准号:
    G0802390/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $93.76万
  • 财政年份:
    2009
  • 负责人:
    Stephen Bloom
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data