Evidence map›Paper›PMID 40444248›Full record

SynthesisFrontiers in nutrition2025

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

Mariah Kay Jackson, Bing Wang, Heather Rasmussen, Sathish Kumar Natarajan, Laura D Bilek, Diane K Ehlers, Laura Graeff-Armas, Christopher D'Angelo, Teresa Cochran, Kimberly Harp and 1 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mariah Kay JacksonCollege of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, United States.
Bing WangDepartment of Food Science and Technology, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States.
Heather RasmussenDepartment of Nutrition & Health Sciences, College of Education and Human Sciences, University of Nebraska-Lincoln, Lincoln, NE, United States.
Sathish Kumar NatarajanCollege of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, United States.
Laura D BilekCollege of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, United States.
Diane K EhlersDepartment of Quantitative Health Sciences, Mayo Clinic-Arizona, Phoenix, AZ, United States.
Laura Graeff-ArmasDepartment of Internal Medicine, College of Medicine, University of Nebraska Medicine, Omaha, NE, United States.
Christopher D'AngeloDepartment of Internal Medicine, College of Medicine, University of Nebraska Medicine, Omaha, NE, United States.
Teresa CochranDepartment of Health & Rehabilitation Sciences, College of Allied Health Professions, University of Nebraska Medical Center, Kearney, NE, United States.
Kimberly HarpEducation and Research Services, University of Nebraska Medical Center, Omaha, NE, United States.
Corrine HansonCollege of Allied Health Professions, University of Nebraska Medical Center, Omaha, NE, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

dietary biomarkersdietary intakefood groupspolyphenolsurinary metabolites

Identifiers

PMID40444248
PMCPMC12119289

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.