HIGH FAT DIET INDUCED ALTERATIONS IN GENE EXPRESSION IN THE NONHUMAN PRIMATE

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心赠款提供。次级项目的主要支助 而子项目的主要调查员可能是由其他来源提供的， 包括其他NIH来源。 列出的子项目总成本可能 表示子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 肥胖是一种全球性的健康流行病，也是导致冠心病、高血压、脂肪肝和2型糖尿病发病率增加的主要原因。临床研究和啮齿动物模型研究都为肥胖和相关疾病的发病机制以及对大脑的影响提供了关键见解。然而，这两种模型都有局限性，并不总是允许直接翻译。非人灵长类动物（NHP）模型已经成为整合啮齿动物和人类研究观察结果的关键。这些研究将研究由高脂饮食诱导的肥胖（DIO）引起的NHP模型中代谢系统的变化。本提案的具体目的是表征NHP中与肥胖相关的下丘脑内基因和蛋白质表达水平的变化。虽然这些研究主要是描述性和相关性的，但这些信息将为一般科学界提供一个关键的数据库，并将使临床和基础科学家能够产生关于大脑内系统功能障碍与肥胖相关的新的具体假设。这些数据还将为代谢疾病治疗方法的未来发展提供关键见解。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Obesity is a worldwide health epidemic and a major contributor to the increased occurrence of coronary heart disease, hypertension, fatty liver disease, and type 2 diabetes. Both clinical research and studies in rodent models have provided key insights into the pathogenesis of obesity and associated disease, as well as the impact on the brain. However, both of these models have limitations that don't always allow for direct translation. The nonhuman primate (NHP) model has emerged as being critical for integrating observations from rodent and human studies. These studies will investigate changes in metabolic systems in the NHP model caused by high fat diet induced obesity (DIO). The specific purposes of this proposal are to characterize changes in gene and protein expression levels within the hypothalamus associated with obesity in the NHP. While these studies are primarily descriptive and correlative, this information will provide a critical database for the general scientific community and will allow both clinical and basic scientist to generate novel specific hypothesis about systems within the brain that become dysfunction is association with obesity. These data will also provide key insights for the future development of therapeutics for the treatment of metabolic diseases.