Discovery and validation of urinary exposure markers for different plant foods by untargeted metabolomics
Discovery and validation of urinary exposure markers for different plant foods by untargeted metabolomics
复制标题
DOI：
10.1007/s00216-013-7498-5
复制
发表时间：
2014-03-01
影响因子：
4.3
通讯作者：
Dragsted, Lars
中科院分区：
文献类型：
--
作者：
Andersen, Maj-Britt Schmidt;Kristensen, Mette;Dragsted, Lars
虽然代谢组学越来越多地用于研究食物代谢组学和确定食物暴露的新标志物，但对这些标志物的验证关注有限。本研究的主要目的是（1）在具有混合饮食背景的研究环境中发现一系列植物性食物的潜在食物暴露标志物（PEM），以及（2）验证先前膳食研究中发现的PEM。在一项为期6个月的平行干预研究中，107名受试者被随机分为两种不同的饮食模式，三天称重的饮食记录和24小时尿液样本被收集了三次。对尿样进行非靶向UPLC-qTOF-MS代谢组学分析，检测到的所有特征都进行了严格的数据分析，包括迭代配对t检验以及食物的灵敏度和特异性分析。共鉴定了22种独特的PEM，涵盖了40种调查食物组中的7种（草莓、卷心菜、甜菜根、核桃、柑橘、绿色豆和巧克力）。PEM反映了具有独特成分的食物，而不是更频繁或更大量食用的食物。我们发现，在先前的膳食研究中发现的23%的PEM在当前的干预研究中也是有效的。该研究表明，在具有混合饮食背景的干预研究中，可以发现和验证几种食物和食物类别的PEM，尽管这样的数据集存在很大的变异性。应通过定量分析对食物摄入量的PEM进行最终验证。
While metabolomics is increasingly used to investigate the food metabolome and identify new markers of food exposure, limited attention has been given to the validation of such markers. The main objectives of the present study were to (1) discover potential food exposure markers (PEMs) for a range of plant foods in a study setting with a mixed dietary background and (2) validate PEMs found in a previous meal study. Three-day weighed dietary records and 24-h urine samples were collected three times during a 6-month parallel intervention study from 107 subjects randomized to two distinct dietary patterns. An untargeted UPLC-qTOF-MS metabolomics analysis was performed on the urine samples, and all features detected underwent strict data analyses, including an iterative paired t test and sensitivity and specificity analyses for foods. A total of 22 unique PEMs were identified that covered 7 out of 40 investigated food groups (strawberry, cabbages, beetroot, walnut, citrus, green beans and chocolate). The PEMs reflected foods with a distinct composition rather than foods eaten more frequently or in larger amounts. We found that 23 % of the PEMs found in a previous meal study were also valid in the present intervention study. The study demonstrates that it is possible to discover and validate PEMs for several foods and food classes in an intervention study with a mixed dietary background, despite the large variability in such a dataset. Final validation of PEMs for intake of foods should be performed by quantitative analysis.