# Exploratory Screening and Replication of Urinary Biomarkers of Fruit and Vegetable Intake in Free-living European Children and Adolescents Using Untargeted Metabolomics

**Authors:** Li Yuan, Samuel Muli, Jantje Goerdten, Jodi Rattner, Mira Merdas, David Achaintre, Ronja Foraita, Maike Wolters, Stefaan De Henauw, Monica Hunsberger, Inge Huybrechts, Lauren Lissner, Dénes Molnár, Luis A Moreno, Paola Russo, Toomas Veidebaum, Wolfgang Ahrens, Ute Nöthlings, Pekka Keski-Rahkonen, Kolade Oluwagbemigun, Anna Floegel

PMC · DOI: 10.1016/j.tjnut.2025.101302 · 2025-12-29

## TL;DR

This study identifies and replicates urinary biomarkers linked to fruit and vegetable intake in children and adolescents across European cohorts.

## Contribution

The study screens and replicates novel urinary metabolites as biomarkers for fruit and vegetable consumption in free-living children.

## Key findings

- 59 molecular features were significantly associated with fruit and vegetable intake.
- Hippuric acid showed a replicated association with apple and total fruit intake in an independent cohort.
- Ferulic acid metabolites were linked to orange intake, and gentisic acid to potato intake.

## Abstract

Accurately measuring fruit and vegetable intake is challenging in epidemiological studies, and this difficulty is even greater in children. Biomarkers of fruit and vegetable intake may enhance objective assessment.

This exploratory study aimed to screen for potential biomarkers and assess the replicability of previously reported biomarkers associated with fruit and vegetable intake in a free-living population.

Using an untargeted metabolomics approach, we quantified the molecular features in urine from the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) and I.Family cohort. To explore complementary temporal dimensions of diet-metabolite associations, we examined both short-term and habitual fruit and vegetable intake in parallel. Partial least squares and random forest were applied using the MUVR algorithm (Multivariate Methods with Unbiased Variable Selection in R) to identify molecular features related to fruit and vegetable intake. A linear mixed regression model was then fitted to selected features. In addition, the fruit and vegetable intake-metabolites associations were explored in the Dortmund Nutritional and Anthropometric Longitudinal Designed (DONALD) cohort to replicate analyses from the IDEFICS/I.Family cohort.

Fruit and vegetable intake were significantly related to 59 features. Ten metabolites could be annotated in the IDEFICS/I.Family cohort. We observed positive associations of total vegetable intake with octenoylcarnitine, total fruit intake with 5-hydroxyindoleacetate and D-pantothenic acid, orange intake with ferulic acid 4-O-glucuronide and ferulic acid 4-O-sulfate, potato intake with gentisic acid, and apple and total fruit as well as total vegetable intake with hippuric acid. The positive associations between hippuric acid and apple/total fruit intake were replicated in the DONALD cohort.

This study shows several plausible urinary biomarkers of fruit and vegetable intake in children and adolescents, with the association between hippuric acid and apple and total fruit intake replicated in an independent cohort, and consistent with previous literature.

## Linked entities

- **Chemicals:** octenoylcarnitine (PubChem CID 129692230), 5-hydroxyindoleacetate (PubChem CID 1826), D-pantothenic acid (PubChem CID 6613), ferulic acid 4-O-glucuronide (PubChem CID 187484), ferulic acid 4-O-sulfate (PubChem CID 6305574), gentisic acid (PubChem CID 3469), hippuric acid (PubChem CID 464)

## Full-text entities

- **Chemicals:** hippuric acid (MESH:C030514), D-pantothenic acid (MESH:D010205), Fruit and vegetables (-), gentisic acid (MESH:C010925), ferulic acid 4-O-sulfate (MESH:C000625833), 5-hydroxyindoleacetate (MESH:D006897)
- **Species:** Malus domestica (apple, species) [taxon 3750], Solanum tuberosum (potatoes, species) [taxon 4113]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12975373/full.md

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Source: https://tomesphere.com/paper/PMC12975373