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.

项目摘要/摘要 - 生物标志物项目 准确的饮食评估是营养研究的主要挑战，尤其是在自由生活中 与自我报告的饮食评估相反，饮食生物标志物更客观，更少 容易报告错误。但是，传统的饮食生物标志物发现方法是限制速率的，并且依赖 关于食物组成的事先了解。代谢组分析技术的进步，再加上喂养 试验，尽管敏感的清单清单 而且特定的食物生物标志物仍然很短。为了响应RFA-DK-20-005，该提案是特定的 对于生物标志物项目（BP）核心，将重点放在新食物的药代动力学的表征上 在临床喂养试验和观察性研究环境中，生物标志物和食品生物标志物的验证 多个独立人群。具体而言，在第1阶段，基于要生成的数据和资源 干预核心，我们将计算新型食品生物标志物的半衰期，估计其他药代动力学 标记的特征，并建立用于计算食物摄入的校准曲线和功能。在第2阶段， 我们将在6周的饮食干预措施后评估食品生物标志物的变化（DASH风格的高级 - 在Omniheart喂养中实施 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 分数的干预措施。在第3阶段，我们将使用由饮食数据来验证食品生物标志物 生活方式验证研究（LVS）中的7天饮食记录和其他经过验证的工具以及研究 拉丁裔营养与体育活动评估研究（SOLNA）。我们将进一步构建测量错误 基于校准曲线的校正方程并探索饮食，微生物组之间的相互关系 和食物生物标志物。 BP核心的这些拟议项目将大大加快食物的进步 美国人群中的生物标志物发现和验证。此外，整体完工，相互连接 为哈佛大学饮食生物标志物发展中心提议的项目将由经验丰富的 研究人员团队由具有喂养试验，代谢组学，生物信息学，生物信息学，生物信息学，生物信息学专业知识的研究人员组成 营养生物标志物研究和营养流行病学。跨学科专业知识和富裕的现有 在美国，多种族人群的资源将以具有成本效益的方式导致大量的科学收益率。 从BP芯生成的数据不仅会表征和验证新颖的食物标记，还会表征 建立在广泛的研究环境中应用食品生物标志物的基础，例如评估 饮食疾病的关联或监测饮食合规性。因此，拟议的研究很棒 潜力推进饮食评估方法，并帮助未来的研究发展 用于预防慢性疾病和管理的精度或个性化营养策略。