Advances in the Assessment of Dietary Intake
Advances in the Assessment of Dietary Intake
复制标题
膳食摄入量评估的进展
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
R. Landberg
中科院分区：
文献类型：
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作者：
C. Brunius;Huaxing Wu;R. Landberg
本章概述了目前有关通过使用饮食生物标记物解决食物摄入量问题的替代方法的现有知识。通过靶向和非靶向代谢组学方法确定的全谷物摄入量的生物标记物将被用作说明性例子。本章以全谷物食品为例，使用有针对性的、特别强调非靶向性的代谢组学方法，讨论特定食品生物标记物的发现、验证和实施。生物标志物发现的实验设计的选择将对统计技术的选择、数据中的发现以及研究参与者和研究人员的工作量产生很大影响。统计建模验证的黄金标准是使用外部验证，即使用单独的数据集进行模型构建和验证。本章概述了一种建议的方法，以健康、自由生活的人口中的全谷物黑麦消费为例，发现特定食物消费的尿液生物标记物。
This chapter provides an overview of the current available knowledge about alternative approaches to address food intakes by using dietary biomarkers. Biomarkers of whole grain intake identified by targeted and untargeted metabolomics approaches will be used as illustrative examples. The chapter addresses discovery, validation, and implementation of biomarkers of specific foods using targeted, and with particular emphasis, untargeted metabolomics approaches with whole grain foods as an example of a food category important to human health. The choice of experimental design for biomarker discovery will have a large impact on the choice of statistical techniques, what can be found in the data, and also on workload of study participants and researchers. The gold standard for statistical modeling validation is to use external validation, i.e. that separate datasets are used for model construction and validation. The chapter outlines a suggested approach to discover urinary biomarkers of specific food consumption using whole grain rye consumption in a healthy, free-living population as an example.