Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate
Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate
批准号:
9120549
负责人:
Donna K Arnett
金额:
$144.45万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-15 至 2015-12-30
关键词:
AffectAgonistAlabamaAllelesAlternative SplicingAreaAtherosclerosisBeliefBloodCCL2 geneCaloriesCandidate Disease GeneCardiovascular DiseasesCholesterolCollaborationsComplexDNADNA MethylationDevelopmentDiabetes MellitusDietDietary FatsDyslipidemiasEatingEnvironmentEnvironmental Risk FactorEpidemicEpigenetic ProcessFamilyFamily StudyFamily memberFatty acid glycerol estersFenofibrateFutureGene ExpressionGene StructureGenesGeneticGenetic TranscriptionGenetic VariationGenetic studyGlucoseGoalsHealthHeartHispanicsHypertriglyceridemiaIL6 geneIndividualInflammatoryInstitutesInsulinIntakeInterventionIntervention StudiesKnowledgeLeadLipidsLipoproteinsLymphocyteMapsMeasuresMediatingMessenger RNAMetabolic syndromeMethodsMethylationMicroRNAsMinnesotaModelingNational Heart, Lung, and Blood InstituteObesityParticipantParticle SizePeroxisome Proliferator-Activated ReceptorsPersonsPharmaceutical PreparationsPhenotypePlayPopulationProtocols documentationRecruitment ActivityRelative (related person)ResearchResourcesRoleSamplingScanningT-LymphocyteTNF geneTestingTherapeuticTriglyceride MetabolismTriglyceridesUtahVariantWhole Bloodadiponectinbisulfite sequencingcardiovascular disorder riskcohortenvironmental interventionepigenetic variationepigenomegene environment interactiongenetic pedigreegenome-wideinflammatory markerinterestlipid metabolismmembernext generation sequencingnovelpreventprogramspromoterresearch studyresponsetraittranscriptome sequencing
中文摘要
描述(由申请人提供):血脂异常在心血管疾病的发生中起着重要作用,这激发了人们对更好地了解血脂异常,特别是高甘油三酯血症的环境因素的兴趣。表观遗传变异可能影响甘油三酯(TG)代谢和对环境挑战的反应。我们的目标是进行第一次实验,全面扫描表观基因组,以确定TG和其他血脂异常反应对两种“环境”干预的决定因素,一种是提高TG(高脂肪饮食),另一种是降低TG(3周非诺贝特治疗)。这些实验将在基因-环境相互作用网络NHLBI项目的“降脂和饮食遗传学”(GOLDN)研究中进行。GOLDN从明尼苏达州和犹他州的野外中心招募了家庭成员,并对他们进行了广泛的酶和核磁共振脂质和炎症标志物表型分析,以响应两种干预措施。该研究将利用先前收集的样本建立在这一独特资源的基础上,实现以下目标:(1)使用下一代测序方法,特别是减少亚硫酸氢盐测序,对来自184个家庭的1,048名个体进行全基因组CpG甲基化分析,以确定表观遗传变异,这些变异有助于tg和tg相关表型对脂肪餐、非诺贝特和非诺贝特治疗背景下的脂肪餐的反应。从这些结果中,我们将选择20个具有最佳证据的候选基因在Aim 2中进一步表征。(2)对1048个家族成员的启动子和其他感兴趣区域进行亚硫酸盐测序,表征这20个基因的甲基化状态。(3)在外部队列中重复目标1和目标2的重要发现。(4)进行基因表达研究,以确定Aims 1-3中甲基化发现对功能的影响,因为DNA甲基化可能以多种方式影响附近基因的表达,包括转录率、选择性剪接、microRNA抑制或等位基因特异性表达。我们将使用一种称为RNAseq的方法对150名受试者的mRNA和microRNA进行下一代测序。如果成功,我们将确定新的表观遗传变异,预测对饮食脂肪反应不良或对非诺贝特反应良好的个体,这将导致有针对性的干预措施的发展,以更有效地预防和治疗高甘油三酯血症。
英文摘要
DESCRIPTION (provided by applicant): Dyslipidemias play a large role in the occurrence of cardiovascular disease, which has fueled interest to better understand environmental factors responsible for dyslipidemias, especially hypertriglyceridemia. Epigenetic variations may affect triglyceride (TG) metabolism and response to environmental challenges. Our goal is to conduct the first experiments that will comprehensively scan the epigenome for determinants of TG and other dyslipidemic responses to two "environmental" interventions, one to raise TGs (a high-fat meal), and one to lower TGs (3-week fenofibrate treatment). These experiments will be conducted in the NHLBI Program in Gene-Environment Interaction Network's "Genetics of Lipid Lowering and Diet" (GOLDN) study. GOLDN recruited family members from field centers in Minnesota and Utah and phenotyped them extensively for enzymatic and NMR lipids and inflammatory markers in response to the two interventions. The proposed study will build upon this unique resource using previously collected samples to implement the following aims: (1) Conduct genome-wide CpG methylation analysis, using next generation sequencing method, specifically, Reduced Representation Bisulfite Sequencing, in 1,048 individuals from 184 families to identify epigenetic variation contributing to the response of TGs and TG-related phenotypes to a fat meal, fenofibrate, and a fat meal in the context of fenofibrate treatment. From these results, we will select 20 candidate genes with the best evidence for further characterization in Aim 2. (2) Characterize the methylation state of these 20 genes using bisulfite sequencing of promoters and other regions of interest in all 1,048 family members. (3) Replicate significant findings from Aims 1 and 2 in external cohorts. (4) Conduct gene expression studies to identify the functional impact of methylation findings from Aims 1-3 since DNA methylation may affect the expression of nearby genes in a variety of ways, including transcription rates, alternative splicing, microRNA inhibition, or allele specific expression. We will apply next-generation sequencing to both mRNA and microRNA from 150 subjects using a method called RNAseq. If successful, we will identify novel epigenetic variations that predict individuals who respond poorly to dietary fat or favorably to fenofibrate which will lead to the development of targeted interventions to more effectively prevent and treat hypertriglyceridemia.
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