Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet Interventions

精准减肥饮食干预的营养遗传学和营养基因组学

基本信息

批准号：
9425969
负责人：
Lu Qi
金额：
$ 67.99万
依托单位：
TULANE UNIVERSITY OF LOUISIANA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9425969
关键词：
Address Affect Algorithms Basal metabolic rate Biochemical Bioinformatics Biometry Blood specimen Body Weight Changes Body Weight decreased Body measure procedure Branched-Chain Amino Acids Clinical Clinical Trials Collection Data Desire for food Diet Dietary Intervention Effectiveness Energy Intake Energy Metabolism Epidemic Epigenetic Process FGF21 gene Gene Expression Genetic Variation Genomics Glucose Hormones Individual Insulin Intervention Intervention Trial Intrinsic factor Knowledge Lead Leptin Levocarnitine Macronutrients Nutrition Measures MicroRNAs Nutritional Study Obesity Participant Play Positioning Attribute Prevention Qi RBP4 gene Randomized Controlled Trials Regulation Regulator Genes Research Research Personnel Role Serum Solid Stimulus System Systems Analysis Technology Variant Weight adipokines adiponectin cardiometabolism circulating microRNA doubly-labeled water energy balance epigenetic variation experience gene function genome wide association study genome-wide genomic data genomic variation ghrelin glucagon-like peptide 1 gut microbiota improved individual response individual variation innovation insight lifestyle intervention metabolomics microRNA biomarkers microbiota metabolites multiple omics neglect novel nutrition related genetics nutritional genomics obesity management obesity prevention personalized approach personalized intervention precision medicine prediction algorithm prospective response total energy expenditure trimethyloxamine whole genome

项目摘要

Abstract Considerable interpersonal variability in weight loss exists among participants in diet interventions. Traditional one-size-fits-all intervention strategy generally neglects such variation, leading to lower effectiveness; however our currently knowledge on the intrinsic factors affecting interpersonal variability is extremely poor. The proposed systems study aims to fill this significant research gap, to identify novel in-built factors that determine interpersonal variability in diet interventions. In two of the largest and most comprehensive comparator trials on the popular weight-loss diets - POUNDS LOST (N=811) and DIRECT (N=322), we propose to identify novel circulating microRNAs (miRNAs) on whole genome scale associated with 2-year weight loss in response to diet interventions. We will also prospectively examine effects of weight-loss diet interventions varying in macronutrient compositions on dynamic changes in serum miRNAs; and examine the relations between miRNAs and markers regulating energy intake and expenditure. In addition, we will apply newly-developed multi-omics algorithm to predict weight loss, by integrating miRNAs with genomics, metabolomics, biochemical and clinical measures. We have assembled a solid group of experienced collaborators with expertise in Nutrigenetics and Nutrigenomics, bioinformatics, diet interventions and biostatistics. We believe that our study will provide novel insights into the roles of miRNAs in determining weight loss in response to diet interventions, and contribute significantly to improve efficiency of precision obesity management.

抽象的饮食干预措施的参与者之间存在重大体重减轻的跨性别差异。传统的一般的干预策略通常会忽略这种差异，从而降低效力；然而我们目前对影响人际变异性的内在因素的知识极为差。这拟议的系统研究旨在填补这一重要的研究空白，以确定新颖的内置因素确定饮食干预措施的人际变异性。在最大，最全面的两个关于流行减肥饮食的比较试验 - 损失（n = 811）和直接（n = 322），我们提议在整个基因组量表上鉴定与2年相关的全基因组量表上的新型循环microRNA（miRNA）响应饮食干预措施的体重减轻。我们还将前瞻性检查减肥饮食的影响在血清miRNA的动态变化的大量营养成分中的干预措施不同；并检查 miRNA与标记之间的关系，以调节能量摄入和支出。此外，我们将申请通过将miRNA与基因组学相结合，新成型的多媒体算法，以预测体重减轻代谢组学，生化和临床措施。我们组装了一群扎实的经验具有营养和营养学，生物信息学，饮食干预和营养学专业知识的合作者生物统计学。我们认为，我们的研究将提供有关miRNA在确定的作用的新颖见解响应饮食干预措施的体重减轻，并为提高精度效率做出重大贡献肥胖管理。