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DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome

DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome
DHA 逆转果糖诱导的代谢综合征的基因网络特征
批准号:
8825938
负责人:
Xia Yang
金额:
$42.27万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-12-01 至 2019-11-30

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中文摘要
翻译
 描述(由申请人提供):与之前的预期相反,高果糖(HF)消耗正在成为代谢综合征(METS)全球流行的关键因素,这引发了人们对缺乏对HF影响的调节机制的迫切关注。考虑到果糖在外周器官以及大脑控制能量稳态的广泛作用,能够揭示HF对分子事件网络及其相互作用的影响的营养基因组学方法对于捕捉METS病因学的整个维度是必不可少的。我们假设HF诱导表观遗传变异以改变METS病理基础组织中基因网络的组织,从而重新编程代谢并增加METS的风险。有关基因网络组织的信息可以用来指导干预措施逆转HF诱导的重编程,从而重新控制代谢稳态。我们提出了一项综合的营养基因组学研究,利用高通量基因组技术和网络建模方法的力量,以及在小鼠体内的实验研究和在人类的遗传研究,以揭示HF对Mets病因学基因组签名的影响。这项应用是一个独特的机会,可以协同两个互补的多学科团队的专业知识-一个专门从事基因组学,另一个专门从事营养研究-结合营养基因组学方法和综合生理学的优点,以促进我们对营养对蛋氨酸代谢综合征病因学影响的理解。在目标1中,我们将使用下一代测序技术来确定HF消耗的能力,以促进小鼠模型中选定的Mets相关组织中DNA甲基组以及转录组的大规模变化,并确定Mets病理的分子特征。在目标2中,我们将评估果糖对网络中基因组织的影响程度,并将确定可能导致网络动态变化的关键调控基因。已确定的新调节器和基因网络将通过i)针对转基因动物模型中的新调节基因,以及ii)在人类全基因组关联研究中评估与代谢性疾病的遗传关联的新调节器/网络,来测试与蛋氨酸的因果关联。最后,在目标3中,我们将通过证实DHA omega-3脂肪酸使表观遗传变异性正常化的能力和被HF破坏的基因网络来解决基因网络的治疗效用。我们的初步数据确实支持果糖诱导表观基因组和网络水平的扰动,而使用DHA则相反。这项研究的完成将提供迫切需要的综合和系统水平的了解,以基本分子过程为基础的心衰诱导蛋氨酸转运蛋白综合征的病理。获得的机械性见解将有助于指导选择新的治疗目标和开发基于网络的营养战略,以减轻METS日益增长的健康负担。
英文摘要
 DESCRIPTION (provided by applicant): Contrary to previously expected, high fructose (HF) consumption is emerging as a key contributor to the worldwide epidemic of metabolic syndrome (MetS), posing pressing concerns for the lack of understanding of the mechanisms mediating the effects of HF. Considering the broad actions of fructose in peripheral organs as well as in the brain control of energy homeostasis, nutrigenomic approaches capable of revealing the impact of HF on webs of molecular events and their interactions are essential to capture the whole dimensionality of MetS etiology. We hypothesize that HF induces epigenetic variability to alter the organization of gene networks in tissues underlying the MetS pathology, thereby reprograming metabolism and increasing risks for MetS. The information on gene network organization can be utilized to guide interventions to reverse HF-induced reprogramming, leading to regain of control of metabolic homeostasis. We propose an integrative nutrigenomics study that harnesses the power of high throughput genomic technologies and network modeling approaches, coupled with in vivo experimental studies in mice and genetic studies in humans, to reveal the impact of HF on genomic signatures of MetS etiology. This application represents a unique opportunity to synergize the expertise of two complementary multidisciplinary teams - one specialized in genomics and the other specialized in nutritional research - with the merit to combine nutrigenomic approaches and integrative physiology to advance our understanding of the impact of nutrients on the etiology of MetS. In Aim 1, we will use next-generation sequencing technologies to determine the capacity of HF consumption to promote large- scale changes in the DNA methylome as well as in the transcriptome in selected MetS-related tissues in a mouse model, and identify molecular signatures of MetS pathology. In Aim 2, we will assess how high fructose affects the organization of genes in networks, and will identify key regulatory genes that may be responsible for the shifts in the network dynamic. The novel regulators and gene networks identified will be tested for causal association with MetS by i) targeting novel regulatory genes in genetically modified animal models, and ii) assessing novel regulators/networks for genetic association with metabolic diseases in human genome-wide association studies (GWAS). Lastly, in Aim 3, we will address the therapeutic utility of the gene networks by corroborating the capacity of DHA omega-3 fatty acid to normalize epigenetic variability and gene networks disrupted by HF. Our preliminary data indeed support that fructose induces epigenomic and network-level perturbations, which are reversed using DHA. Completion of the study will provide the much needed integrative and systems-level understanding of the basic molecular processes underlying HF-induced MetS pathology. The mechanistic insights obtained will help guide the selection of novel therapeutic targets and the development of network-based nutritional strategies for alleviating the growing health burden of MetS.
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DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome
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