California Partnership for Personalized Nutrition

加州个性化营养合作伙伴关系

基本信息

批准号：
10540243
负责人：
Sean Harrison Adams
金额：
$ 291.19万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-12-10 至 2026-11-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10540243
关键词：
Address Advisory Committees All of Us Research Program Artificial Intelligence Behavior Big Data Big Data Methods Biological Markers Blood California Carbohydrates Cessation of life Characteristics Chemistry Chronobiology Clinical Nutrition Collaborations Collection Communication Communities Complex Consent Coupled Crossover Design Data Data Collection Diet Diet Habits Dietary Intervention Dietary Practices Disparate Domiciles Eating Eating Behavior Ecology Electronic Health Record Emerging Technologies Enrollment Environment Environmental Risk Factor Epigenetic Process Exposure to Fatty acid glycerol esters Food Genetic Goals Health Health Food Health Personnel Hormones Human Hunger Individual Intervention Kinetics Lipids Macronutrients Nutrition Marketing Measurement Measures Medical center Metabolic Metabolism Metagenomics Methods Microbe Micronutrients Modernization National Health Programs Nature Non-Insulin-Dependent Diabetes Mellitus Nutritional Nutritional Science Nutritionist Outcome Participant Pattern Persons Phase Phenotype Physical activity Physiological Physiology Population Population Heterogeneity Precision Health Prediabetes syndrome Protocols documentation Public Health Recommendation Research Design Risk Rural Community Satiation Shapes Standardization Subgroup System Technology Testing Time Training Type 2 diabetic Unhealthy Diet United States National Institutes of Health Urban Community Urine biological systems blood glucose regulation clinical center cohort community based participatory research data modeling data sharing design dietary digital expectation experience feeding genomic data gut microbiota improved indexing individual response individual variation innovation inter-individual variation member metabolomics metatranscriptomics microbiome microbiota multiple omics non-diabetic nutrition organizational structure precision medicine precision nutrition premature programs prototype psychosocial recruit response sedentary lifestyle social factors suburban communities synergism wearable device

项目摘要

Project Summary: Poor diet and sedentary behaviors are associated with some of the leading causes of premature death in the U.S. While nutritionists understand that there are a variety of eating behaviors that have positive benefits to health and function in general terms, it has been difficult to tailor dietary recommendations to the individual. Public health recommendations and marketing that aim to improve ‘diet quality’ (or complementary outcomes, such as physical activity) have been hampered by a broad brush ‘one-size fits all’ approach without distinguishing individualized needs. A big challenge to design of strategies for more personalized public health is the paucity of large-scale interventions that have tested person-to-person differences in physiological responses to standardized foods or diet patterns. The premise of the NIH Nutrition for Precision Health program and this application to establish the California Partnership for Personalized Nutrition Clinical Center is that variance in dietary patterns and physiological responses to patterns and specific foods are shaped by disparate factors including complex genetic, microbiome, psychosocial, human ecology, and metabolic variables. We aim to examine which factor or combination of factors influence responses to a test meal composed of strategic ingredients that interrogate multiple biological systems in parallel, population-wide but with a consideration of sub-groups that differ with respect to glucose control and microbiome (type 2 diabetic, pre-diabetic, and non- diabetic persons). In addition, the differential (intra- and interindividual) responses to three disparate diets (Mediterranean, low-carbohydrate, and high-carbohydrate) will be tested in free-living and domiciled conditions, to characterize microbiota shifts and to associate diet with changes in multi-system physiology and chronobiology. Finally, the study design also provides biospecimens for metabolomics, chemistry, and microbiome; advanced metabolic physiology data; innovative app and wearable derived data; in addition to core protocol EMR and genomic data suitable for high quality data modeling and advanced statistical/artificial intelligence “big data” methods for discovery of personalized nutritional optimization. The California Partnership for Personalized Nutrition established in this project grows out of the California Precision Medicine Consortium (CAPMC), the All of Us Health Provider Organization in California,. The CAPMC has established teamwork Statewide for recruitment and retention, with engagement of the great diversity of the population of the State of California. This team, combined with the considerable experience in clinical nutrition, feeding studies and micro- and macro-nutrient assessment, digital app and wearable technologies, modern human ecology, community alliances, and food for health and wellness provides a combination ideally suited to the goals of the Nutrition for Precision Health National program.

项目摘要：饮食不良和久坐行为与某些主要原因有关在美国过早死亡，而营养学家知道有多种饮食行为对健康和功能的积极益处一般，很难量身定制饮食建议个人。旨在提高“饮食质量”的公共卫生建议和营销（或结局，例如体育锻炼）受到了宽阔的刷子的“适合所有方法”的障碍区分个性化需求。设计策略的巨大挑战是否缺乏大规模干预措施，这些干预措施已经测试了人与人的生理差异对标准化食物或饮食方式的反应。 NIH Precision Health计划的前提该应用程序建立了为个性化营养临床中心建立加利福尼亚合作伙伴关系饮食模式的差异以及对模式和特定食物的物理反应的差异是通过不同的包括复杂遗传，微生物组，社会心理，人类生态学和代谢变量的因素。我们的目标检查哪些因素或因素的组合影响对策略组成的测试餐的反应在范围内质疑多个生物系统的成分，但要考虑在葡萄糖控制和微生物组方面有所不同的亚组（2型糖尿病，糖尿病前和非 - 糖尿病患者）。此外，对三种不同饮食的差异（个体和个体）反应（地中海，低碳水化合物和高碳水化合物）将在自由生活和定居条件下进行测试，表征微生物群的转移并将饮食与多系统生理学的变化相关联时间生物学。最后，研究设计还为代谢组学，化学和微生物组；高级代谢生理学数据；创新的应用程序和可穿戴的数据；除了核心协议EMR和基因组数据适用于高质量数据建模和高级统计/人工智能“大数据”方法，用于发现个性化营养优化。该项目中建立的个性化营养合作伙伴关系从加利福尼亚发展 Precision Medicine Consortium（CAPMC），加利福尼亚州的所有健康提供者组织。 CAPMC 在全州范围内建立了团队合作，以招募和保留，并参与了巨大的多样性加利福尼亚州的人口。该团队结合了临床营养方面的考虑经验，喂养研究以及微营养素评估，数字应用和可穿戴技术，现代人类的生态学，社区联盟以及健康和健康食品提供了一种理想的组合 Precision Health National计划的营养目标。