Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3DA, UK.
Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Hammersmith Hospital Campus, Imperial College London, London, W12 0NN, UK.
Mol Nutr Food Res. 2020 Oct;64(20):e2000517. doi: 10.1002/mnfr.202000517. Epub 2020 Sep 28.
Metabolites derived from individual foods found in human biofluids after consumption could provide objective measures of dietary intake. For comprehensive dietary assessment, quantification methods would need to manage the structurally diverse mixture of target metabolites present at wide concentration ranges.
A strategy for selection of candidate dietary exposure biomarkers is developed. An analytical method for 62 food biomarkers is validated by extensive analysis of chromatographic and ionization behavior characteristics using triple quadrupole mass spectrometry. Urine samples from two food intervention studies are used: a controlled, inpatient study (n = 19) and a free-living study where individuals (n = 15) are provided with food as a series of menu plans. As proof-of-principle, it is demonstrated that the biomarker panel could discriminate between menu plans by detecting distinctive changes in the concentration in urine of targeted metabolites. Quantitative relationships between four biomarker concentrations in urine and dietary intake are shown.
Design concepts for an analytical strategy are demonstrated, allowing simultaneous quantification of a comprehensive panel of chemically-diverse biomarkers of a wide range of commonly-consumed foods. It is proposed that integration of self-reported dietary recording tools with biomarker approaches will provide more robust assessment of dietary exposure.
在人类生物体液中摄入的个体食物衍生的代谢物可以提供饮食摄入量的客观测量。为了进行全面的饮食评估,定量方法需要管理存在于广泛浓度范围内的目标代谢物的结构多样的混合物。
开发了一种选择候选饮食暴露生物标志物的策略。使用三重四极杆质谱法对色谱和电离行为特性进行广泛分析,验证了用于 62 种食物生物标志物的分析方法。使用来自两项食物干预研究的尿液样本:一项对照、住院研究(n=19)和一项自由生活研究,其中为个体(n=15)提供了一系列菜单计划作为食物。作为原理证明,通过检测靶向代谢物在尿液中的浓度的特征变化,证明了生物标志物组可以区分菜单计划。显示了尿液中四种生物标志物浓度与饮食摄入量之间的定量关系。
展示了分析策略的设计概念,允许同时定量分析广泛范围内的广泛的常用食物的化学多样性生物标志物的综合面板。提出将自我报告的饮食记录工具与生物标志物方法相结合,将为饮食暴露提供更强大的评估。