Biomarkers Project for the Dietary Biomarkers Development Center at Harvard University

哈佛大学膳食生物标志物开发中心的生物标志物项目

• 批准号: 10289798
• 负责人: Qi Sun
• 金额: $ 16.18万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-16 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10289798
• 关键词: Address; Adult; African American; Assessment tool; Avena sativa; Betaine; Bioinformatics; Biological Markers; Blood Pressure; Bread; Calibration; Carbohydrates; Carotenoids; Chickens; Chronic Disease; Citrus; Clinical; Complex; Consumption; Coupled; Data; Data Analyses; Development; Diet; Diet Monitoring; Diet Records; Dietary Assessment; Dietary Component; Dietary Intervention; Dietary Practices; Disease; Disease Management; Drug Kinetics; Eating; Energy Intake; Equation; Evaluation; Fatty Acids; Folic Acid; Follow-Up Studies; Food; Foundations; Frequencies; Future; Gold; Health; Health Professional; Hispanics; Hour; Human; Individual; Intake; Intervention; Isoflavones; Knowledge; Life Style; Light; Measurement; Measures; Metabolism; Methodology; Methods; Nitrogen; Nurses' Health Study; Nutrient; Nutritional; Nutritional Study; Observational Study; Participant; Patient Self-Report; Pattern; Performance; Phase; Physical activity; Plant Proteins; Plasma; Population; Potassium; Potato; Prevention; Proline; Property; Proteins; Questionnaires; Randomized; Recovery; Reporting; Research; Research Personnel; Resources; Rye cereal; Sampling; Scientist; Series; Sodium; Statistical Data Interpretation; Strategic Planning; Study of Latinos; Techniques; Testing; Time; United States National Institutes of Health; Universities; Unsaturated Fats; Urine; Vascular Plant; Wheat; Woman; Work; base; beef; biomarker development; biomarker discovery; biomarker validation; blood lipid; cohort; cost effective; data resource; dietary; disorder prevention; doubly-labeled water; experience; feeding; improved; indexing; innovation; intervention effect; men; metabolomics; microbial; microbiome; microbiome composition; multi-ethnic; multidisciplinary; novel; novel marker; nutrition; nutritional epidemiology; precision nutrition; response; soy; specific biomarkers; tool; urinary; validation studies

PROJECT SUMMARY/ABSTRACT – BIOMARKERS PROJECT Accurate dietary assessments are a major challenge in nutritional research, especially among free-living individuals. In contrast to self-reported dietary assessments, dietary biomarkers are more objective and less prone to reporting errors. However, traditional dietary biomarker discovery methods are rate-limiting and rely on prior knowledge of food composition. Advances in metabolomic profiling techniques, coupled with feeding trials, now pave the road for discovering novel food biomarkers more efficiently, although the list of sensitive and specific food biomarkers is still short. In response to the RFA-DK-20-005, this proposal, which is specific for the Biomarkers Project (BP) Core, will focus on the characterization of pharmacokinetics of novel food biomarkers and validation of food biomarkers in both clinical feeding trial and observational study settings in multiple independent populations. Specifically, at Phase 1, based on data and resources to be generated at the Intervention Core, we will calculate half-lives of novel food biomarkers, estimate other pharmacokinetics features of the markers, and establish calibration curves and functions for computing food intake. At Phase 2, we will evaluate changes of food biomarkers following 6-week dietary interventions (DASH-style high- carbohydrate diet, high plant protein diet, and high unsaturated fat diet) implemented in the OmniHeart feeding trial. We will further use multiple markers to construct a diet quality score and examine the effects of the interventions on the score. At Phase 3, we will validate the food biomarkers using dietary data assessed by the gold-standard 7-day diet records and other validated tools in the Lifestyle Validation Study (LVS) and Study of Latinos Nutrition & Physical Activity Assessment Study (SOLNAS). We will further build measurement error correction equations based on the calibration curves and explore inter-relationships between diet, microbiome, and food biomarkers. These proposed projects at the BP Core will significantly accelerate the advances in food biomarker discovery and validation in U.S. populations. In addition, the overall complementary, inter-connected projects proposed for the Harvard Dietary Biomarker Development Center will be led by a highly experienced investigator team consisting of researchers with expertise in feeding trials, metabolomics, bioinformatics, nutritional biomarker research, and nutritional epidemiology. The interdisciplinary expertise and rich, existing resources of multi-ethnic cohorts in the U.S. will lead to significant scientific yields in a cost-effective manner. Data to be generated from the BP Core will not only characterize and validate novel food markers but also build the foundation for applying the food biomarkers in a broad range of research settings, such as evaluation of diet-disease associations or monitoring of dietary compliance. As such, the proposed research has a great potential to advance dietary assessment methodology and to aid in future research toward the development of precision or individualized nutrition strategies for chronic disease prevention and management.

项目总结/摘要-生物标志物项目 准确的膳食评估是营养研究的一个主要挑战，特别是在自由生活的人群中。 个体与自我报告的饮食评估相比，饮食生物标志物更客观， 容易报告错误。然而，传统的膳食生物标志物发现方法是限速的，并且依赖于 食物成分的先验知识。代谢组学分析技术的进展，加上喂养 尽管敏感的生物标志物清单，但现在的试验为更有效地发现新型食品生物标志物铺平了道路 特定的食物生物标志物仍然很短。作为对RFA-DK-20-005的回应，本提案 生物标志物项目（BP）核心，将侧重于新食品的药代动力学特征 在临床喂养试验和观察性研究环境中， 多个独立的群体。具体而言，在第一阶段，基于在第二阶段产生的数据和资源， 干预核心，我们将计算新的食物生物标志物的半衰期，估计其他药代动力学 标记物的特征，并建立用于计算食物摄入量的校准曲线和函数。在第二阶段， 我们将评估6周饮食干预后食物生物标志物的变化（DASH式高， 碳水化合物饮食、高植物蛋白饮食和高不饱和脂肪饮食） 审判我们将进一步使用多个标记来构建饮食质量评分，并检查 在分数上的干预。在第三阶段，我们将使用由美国食品和药物管理局评估的饮食数据来验证食物生物标志物。 金标准7天饮食记录和其他经验证的工具，在生活方式验证研究（LVS）和研究 拉丁裔营养和身体活动评估研究（SOLNAS）。我们将进一步建立测量误差 基于校准曲线的校正方程，并探索饮食、微生物组 和食物生物标志物。BP核心的这些拟议项目将大大加快食品的进步 在美国人群中发现和验证生物标志物。此外，整体互补，相互连接 为哈佛膳食生物标志物开发中心提出的项目将由一位经验丰富的 研究者团队由具有饲养试验、代谢组学、生物信息学 营养生物标志物研究和营养流行病学。跨学科的专业知识和丰富的，现有的 在美国，多种族群体的资源将以具有成本效益的方式产生重大的科学成果。 从BP核心产生的数据不仅将表征和验证新的食品标志物， 为在广泛的研究环境中应用食品生物标志物奠定基础，例如评估 饮食与疾病的关联或饮食依从性的监测。因此，这项研究具有很大的意义。 有可能推进膳食评估方法，并有助于未来的研究， 精确或个性化的营养策略，用于慢性病的预防和管理。