Evidence map›Paper›PMID 42860877›Full record

ArticleMolecular nutrition & food research2026

Metabolomics Based Biomarkers of Green Beans Intake.

Rebecca Finlay, Ya Gao, Qi Sun, Frank Hu, Jayne Woodside, Xiaofei Yin, Lorraine Brennan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular nutrition & food research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rebecca FinlayUCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.
Ya GaoUCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.
Qi SunDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Frank HuDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Jayne WoodsideCentre For Public Health, Queens University Belfast, Belfast, UK.
Xiaofei YinUCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.
Lorraine BrennanUCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.

Funding

Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Health and Social CareHealth Research Board USIRL-2019-1Medical Research Council STL/5461/2018NIDDK NIH HHS DK120870NIDDK NIH HHS DK129670NIDDK NIH HHS R01 DK120870R&D Division, Public Health AgencyResearch IrelandUS National Institutes of Health
6 · The paper itself

Abstract

While there is considerable interest in legumes as a food source, there are no validated biomarkers for green beans (Phaseolus vulgaris, L.) intake. The objective of the current work is to identify and assess the dose-response of food intake biomarkers of green beans. In an acute intervention study, 27 participants consumed green beans in the study center and urine samples were collected pre- and post-consumption. Metabolites were measured by nuclear magnetic resonance (

Indexed as

BiomarkersMetabolomicsPhaseolusAdultChromatography, LiquidFemaleGlutamineGlycineHumansMagnetic Resonance SpectroscopyMaleMass SpectrometryYoung AdultBiomarkersGlutamineGlycinephenylacetylglutaminebiomarkerslegumesmetabolitesmetabolomics

Identifiers

PMID42860877
PMCPMC13655637

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.