Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK.
Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.
Mol Nutr Food Res. 2019 Jul;63(14):e1900062. doi: 10.1002/mnfr.201900062. Epub 2019 Jun 17.
Dietary choices modulate the risk of chronic diseases and improving diet is a central component of public health strategies. Food-derived metabolites present in urine could provide objective biomarkers of dietary exposure. To assist biomarker validation, this work aims to develop a food intervention strategy mimicking a typical annual diet over a short period of time and assesses urine sampling protocols potentially suitable for future deployment of biomarker technology in free-living populations.
Six different menu plans comprehensively represent a typical UK annual diet that is split into two dietary experimental periods. Free-living adult participants (n = 15 and n = 36, respectively) are provided with all their food, as a series of menu plans, over a period of three consecutive days. Multiple spot urine samples are collected and stored at home.
A successful food exposure strategy is established following a conventional UK eating pattern, which is suitable for biomarker validation in free-living individuals. The urine sampling procedure is acceptable for volunteers and delivered samples suitable for biomarker quantification. The study design provides scope for validation of existing biomarker candidates and potentially for discovery of new biomarker leads, and should help inform the future deployment of biomarker technology for habitual dietary exposure measurement.
饮食选择会影响慢性病的风险,改善饮食是公共卫生策略的核心组成部分。尿液中存在的食物衍生代谢物可以提供饮食暴露的客观生物标志物。为了协助生物标志物验证,本工作旨在开发一种饮食干预策略,在短时间内模拟典型的年度饮食,并评估可能适合未来在自由生活人群中部署生物标志物技术的尿液采样方案。
六个不同的菜单计划全面代表了英国典型的年度饮食,分为两个饮食实验期。为 15 名和 36 名自由生活的成年参与者(分别)提供了为期三天的连续时间内的所有食物,作为一系列菜单计划。采集并在家中储存多次随机尿液样本。
按照英国传统的饮食习惯建立了成功的食物暴露策略,适用于自由生活个体的生物标志物验证。尿液采样程序被志愿者接受,提供的样本适合生物标志物定量。该研究设计为验证现有生物标志物候选物和潜在新生物标志物提供了机会,并应有助于为习惯性饮食暴露测量部署生物标志物技术提供信息。