Predicting Health Outcomes of Mediterranean Diet via Metabolomics of Foods and Biospecimens

通过食物和生物样本的代谢组学预测地中海饮食的健康结果

基本信息

批准号：
10380103
负责人：
WAYNE W CAMPBELL
金额：
$ 62.44万
依托单位：
UNIVERSITY OF COLORADO DENVER
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：
2018-06-09 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10380103
关键词：
Address Antioxidants Bacteroides Biochemical Biological Biological Markers Blood Blood Pressure Branched-Chain Amino Acids Carnitine Chronic Disease Clinical Research Clinical Trials Consumption Data Development Diet Diet Modification Dietary Component Dietary Intervention Dietary Practices Dietary intake Disease Evaluation Feces Fishes Food Frequencies Future Goals Health Health Benefit Health Promotion Health Status Human Individual Inductively Coupled Plasma Mass Spectrometry Inflammation Intake Intervention Intestines Investigation Knowledge Link Lipids Liquid substance Mass Spectrum Analysis Measurement Measures Mediterranean Diet Metabolic Metabolic Diseases Metagenomics Micronutrients Mission Molecular Molecular Profiling N-3 polyunsaturated fatty acid Nutrient Nutritional Outcome Overweight Pathogenicity Plasma Polyunsaturated Fatty Acids Population Prevotella Proteins Randomized Recommendation Research Sample Size Sampling Source Specimen Testing Time United States National Institutes of Health Urine Volatile Fatty Acids adult obesity blood lipid dietary disorder prevention disorder risk feeding gut microbiome gut microbiota human subject improved innovation insulin sensitivity metabolic profile metabolome metabolomics microbiota profiles novel post intervention potential biomarker prevent prospective small molecule western diet

项目摘要

One of the single most important opportunities to influence an individual's health is through sustained modification of diet. Although certain dietary patterns have clear health benefits or detriments with respect to chronic disease risk, the biochemical and metabolic underpinnings linking such dietary patterns with health effects are not clear. This proposal describes a step-wise strategy whereby the mechanistic effects of individual foods and dietary components on health can be delineated as follows: Step 1) identify molecular signatures of diet/food composites from typical Mediterranean-style (MED) and Westernized diets (WD); Step 2) identify biomarkers of MED and WD exposures in human biospecimens (e.g., plasma, urine, stool); Step 3) connect these signatures and biomarkers with health indicators, including gut microbiome, in human subjects; and Step 4) test these associations in a prospective clinical trial. This proposal leverages already available specimens (blood, urine, stool) from two randomized, controlled feeding trials of MED and WD. Measures of lipid profile, blood pressure, insulin sensitivity, inflammation, and other health indicators are available and will be associated with the comprehensive molecular metabolic profiles generated in this proposal. The central hypothesis is that different dietary patterns (MED vs. WD) will generate distinct food-specific molecular signatures that can be measured in human biospecimens and linked to metabolic health indicators. Guided by strong preliminary data, our hypotheses will be tested in the following specific aims (SA) by using state-of-art foodomics, plasma/urine metabolomics, targeted analysis of known nutrients, and fecal metabolomic/metagenomic approaches to identify and validate molecular signatures in foods and biomarkers in biospecimens (SA 1 and 2); by linking these signatures and biomarkers with health indicators and the gut microbiota (SA 3); and by testing the specific foods or food groups identified in Aims 1-3 that are beneficial to metabolic health in a randomized, prospective, controlled feeding trial (SA 4). The proposed research is significant because, for the first time, it will use a step-wise approach to directly connect a large panel of individual foods and whole diets to metabolic and intestinal health indicators through molecular and metabolic signatures. Results can be used almost immediately to inform future studies. The approach is innovative because it represents a substantial departure from the status quo by examining the nutritional metabolome as part of the broader “exposome” and identifying the overlap between individual foods, composite diets, and biospecimens. Findings from this research will elucidate relationships between dietary exposures and metabolic health by identifying and connecting unique food signatures and biological metabolites. This knowledge will underpin the development of effective and more precise dietary interventions for metabolic disease prevention and recommendations to promote health.

影响个人健康的唯一最重要的机会之一是通过持续的饮食修改。尽管某些饮食模式在慢性疾病风险方面具有明显的健康益处或损害，但将这种饮食模式与健康影响联系起来的生化和代谢基础尚不清楚。该提案描述了一种逐步策略，即可以将单个食物和饮食成分对健康的机械作用描述如下：步骤1）确定典型的地中海风格（MED）（MED）的饮食/食物成分的分子特征和西化饮食（WD）；步骤2）确定人类生物测量中MED和WD暴露的生物标志物（例如等离子体，尿液，粪便）；步骤3）将这些签名和生物标志物与人类受试者的健康指标（包括肠道微生物组）联系起来；步骤4）在一项前瞻性临床试验中测试这些关联。该提案利用了两个随机对照的MED和WD的随机对照喂养试验，已经可用的标本（血液，尿液，粪便）。脂质谱，血压，胰岛素敏感性，感染和其他健康指标的度量可获得，并将与本提案中产生的综合分子代谢谱有关。中心假设是不同的饮食模式（MED与WD）将产生不同的食物特异性分子特征，可以在人类的生物测量中测量，并与代谢健康指标有关。在强大的初步数据的指导下，我们的假设将在以下特定目的（SA）中通过使用最先进的食物，血浆/尿液代谢组学，对已知养分的有针对性分析以及粪便代谢组/化代谢组/化学方法分析来识别和验证食品和生物菌（Sa）的分子签名和验证。将这些特征和生物标志物与健康指标和肠道菌群联系起来（SA 3）；通过测试AIM 1-3中确定的特定食品或食物组，这些食物或在随机，前瞻性，受控的喂养试验中对代谢健康有益的特定食品或食物组（SA 4）。拟议的研究很重要，因为它首次使用逐步的方法将大量的单个食物和整个饮食直接连接到通过分子和代谢标志的代谢和肠道健康指标。结果几乎可以立即使用以告知未来的研究。这种方法具有创新性，因为它通过研究营养代谢组作为更广泛的“ exposome”的一部分，并确定单个食物，复合饮食和生物测量之间的重叠，这代表了与现状的实质性不同。这项研究的结果将通过识别和连接独特的食物特征和生物代谢产物来阐明饮食暴露与代谢健康之间的关系。这些知识将支持有效，更精确的饮食干预措施，以预防代谢疾病，并提出促进健康的建议。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Metabolomics Profiling of White Button, Crimini, Portabella, Lion's Mane, Maitake, Oyster, and Shiitake Mushrooms Using Untargeted Metabolomics and Targeted Amino Acid Analysis.

DOI：
10.3390/foods12162985
发表时间：
2023-08-08
期刊：
Foods (Basel, Switzerland)
影响因子：
0
作者：
通讯作者：

mini-MED: study protocol for a randomized, multi-intervention, semi-controlled feeding trial of a Mediterranean-amplified vs. habitual Western dietary pattern for the evaluation of food-specific compounds and cardiometabolic health.

DOI：
10.1186/s13063-024-07939-8
发表时间：
2024-02-02
期刊：
TRIALS
影响因子：
2.5
作者：
Hill, Emily B.;Tang, Minghua;Long, Julie M.;Kemp, Jennifer F.;Westcott, Jamie L.;Hendricks, Audrey E.;Reisdorph, Nichole A.;Campbell, Wayne W.;Krebs, Nancy F.
通讯作者：
Krebs, Nancy F.