尿代谢物作为膳食摄入生物标志物的系统评价

Urinary metabolites as biomarkers of dietary intake: a systematic review.

作者信息

Jackson Mariah Kay, Wang Bing, Rasmussen Heather, Natarajan Sathish Kumar, Bilek Laura D, Ehlers Diane K, Graeff-Armas Laura, D'Angelo Christopher, Cochran Teresa, Harp Kimberly, Hanson Corrine

机构信息

College of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, United States.

Department of Food Science and Technology, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States.

出版信息

Front Nutr. 2025 May 15;12:1596543. doi: 10.3389/fnut.2025.1596543. eCollection 2025.

DOI:10.3389/fnut.2025.1596543

PMID:40444248

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12119289/

Abstract

BACKGROUND

Current diet assessment tools, such as food frequency questionnaires, may result in misclassification bias from measurement error and misreporting. These limitations can be mitigated by diet-related biomarkers in urine specimens, an emerging approach to characterize dietary intake.

OBJECTIVE

We conducted a systematic review to identify urinary biomarkers with utility in accurately assessing dietary intake, including individual foods and food groups.

METHOD

We retrieved studies from 2000 to 2022 from databases including Embase, CINAHL, Cochrane, and PubMed. Data extraction from included articles was conducted by two independent reviewers for cross validation. Articles identifying urinary biomarkers in relation to food groups/items with adult populations were included and were evaluated for bias using the Joanna Briggs Institute Critical Appraisal.

RESULTS

A total of 65 articles were included and categorized as biomarkers of fruit ( = 13), vegetables ( = 5), aromatics ( = 5), fruits and vegetables ( = 3), grains/fiber ( = 5), dairy ( = 3), soy ( = 10), coffee/cocoa/tea ( = 9), alcohol ( = 6), meat and proteins ( = 6), nuts/seeds ( = 3), and sugar and sweeteners ( = 4). Results expanded the context to which metabolites of foods were compared across similar and dissimilar food groupings. Plant-based foods were often represented by polyphenols, while others were distinguishable by innate food composition, such as sulfurous compounds in cruciferous vegetables or galactose derivatives in dairy.

CONCLUSION

Current evidence suggests urinary biomarkers may have utility in describing intake of broad food groups, such as citrus fruits, cruciferous vegetables, whole grains, and soy foods, but may lack the ability to clearly distinguish individual foods. These findings indicate the potential of urinary biomarkers to monitor changes in dietary patterns. The improvement of diet assessment methodology is a key step toward strengthening research data validity and accurately measuring outcomes in chronic disease management.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/PROSPERO/view/CRD42022308255, Prospero CRD42022308255.

摘要

背景

当前的饮食评估工具，如食物频率问卷，可能会因测量误差和误报导致分类错误偏差。尿液样本中的饮食相关生物标志物可以减轻这些局限性，这是一种用于描述饮食摄入量的新兴方法。

目的

我们进行了一项系统综述，以确定在准确评估饮食摄入量（包括单一食物和食物类别）方面有用的尿液生物标志物。

方法

我们从2000年至2022年期间的数据库中检索研究，这些数据库包括Embase、CINAHL、Cochrane和PubMed。由两名独立评审员从纳入的文章中提取数据进行交叉验证。纳入了确定与成年人群食物类别/项目相关的尿液生物标志物的文章，并使用乔安娜·布里格斯研究所批判性评价工具对其偏倚进行评估。

结果

共纳入65篇文章，并分类为水果生物标志物（n = 13）、蔬菜生物标志物（n = 5）、芳香族生物标志物（n = 5）、水果和蔬菜生物标志物（n = 3）、谷物/纤维生物标志物（n = 5）、乳制品生物标志物（n = 3）、大豆生物标志物（n = 10）、咖啡/可可/茶生物标志物（n = 9）、酒精生物标志物（n = 6）、肉类和蛋白质生物标志物（n = 6）、坚果/种子生物标志物（n = 3）以及糖和甜味剂生物标志物（n = 4）。结果扩展了在相似和不同食物分组中比较食物代谢物的背景。植物性食物通常以多酚为代表，而其他食物则可通过其固有食物成分区分，如十字花科蔬菜中的含硫化合物或乳制品中的半乳糖衍生物。