Identification and replication of urine metabolites associated with short-term and habitual intake of sweet and fatty snacks in European children and adolescents.

biomarker identification children and adolescents metabolite biomarkers of food intake sweet and fatty snacks untargeted metabolomics

Journal

The Journal of nutrition
ISSN: 1541-6100
Titre abrégé: J Nutr
Pays: United States
ID NLM: 0404243

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 26 04 2024
revised: 19 09 2024
accepted: 23 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 27 9 2024
Statut: aheadofprint

Résumé

Intake of sweet and fatty snacks may partly contribute to the occurrence of obesity and other health conditions in childhood. Traditional dietary assessment methods may be limited in accurately assessing the intake of sweet and fatty snacks in children. Metabolite biomarkers may aid the objective assessment of children's food intake and support establishing diet-disease relationships. The present study aimed to identify biomarkers of sweet and fatty snack intake in two independent cohorts of European children. We used data from the IDEFICS/I.Family cohort from baseline (2007/2008) and two follow-up examination waves (2009/2010 and 2013/2014). In total, n=1788 urine samples from 599 children were analysed for untargeted metabolomics using high-resolution liquid chromatography-mass spectrometry. Short-term dietary intake was assessed by 24-hour dietary recalls, and habitual dietary intake was calculated with the National Cancer Institute method. Data from the DONALD cohort of 24-hour urine samples (n=567) and 3-day weighted dietary records were used for external replication of results. Multivariate modelling with Unbiased Variable selection in R (MUVR) algorithms and linear mixed models were used to identify novel biomarkers. Metabolite features significantly associated with dietary intake were then annotated. In total, 66 metabolites were discovered and found to be statistically significant for "chocolate candy", "cakes, puddings & cookies", "candy & sweets", "ice cream", and "crisps". Most of the features (n=62) could not be annotated. Short-term and habitual chocolate intake were positively associated with theobromine, xanthosine, and cyclo(L-prolyl-L-valyl). These results were replicated in the DONALD cohort. Short-term "candy & sweets" intake was negatively associated with octenoylcarnitine. We identified potential metabolite biomarkers of sweet and fatty snacks in children, of which three biomarkers of chocolate intake, namely theobromine, xanthosine, and cyclo(L-prolyl-L-valyl) were externally replicated. However, these potential biomarkers require further validation in children.

Sections du résumé

BACKGROUND BACKGROUND
Intake of sweet and fatty snacks may partly contribute to the occurrence of obesity and other health conditions in childhood. Traditional dietary assessment methods may be limited in accurately assessing the intake of sweet and fatty snacks in children. Metabolite biomarkers may aid the objective assessment of children's food intake and support establishing diet-disease relationships.
OBJECTIVE OBJECTIVE
The present study aimed to identify biomarkers of sweet and fatty snack intake in two independent cohorts of European children.
METHODS METHODS
We used data from the IDEFICS/I.Family cohort from baseline (2007/2008) and two follow-up examination waves (2009/2010 and 2013/2014). In total, n=1788 urine samples from 599 children were analysed for untargeted metabolomics using high-resolution liquid chromatography-mass spectrometry. Short-term dietary intake was assessed by 24-hour dietary recalls, and habitual dietary intake was calculated with the National Cancer Institute method. Data from the DONALD cohort of 24-hour urine samples (n=567) and 3-day weighted dietary records were used for external replication of results. Multivariate modelling with Unbiased Variable selection in R (MUVR) algorithms and linear mixed models were used to identify novel biomarkers. Metabolite features significantly associated with dietary intake were then annotated.
RESULTS RESULTS
In total, 66 metabolites were discovered and found to be statistically significant for "chocolate candy", "cakes, puddings & cookies", "candy & sweets", "ice cream", and "crisps". Most of the features (n=62) could not be annotated. Short-term and habitual chocolate intake were positively associated with theobromine, xanthosine, and cyclo(L-prolyl-L-valyl). These results were replicated in the DONALD cohort. Short-term "candy & sweets" intake was negatively associated with octenoylcarnitine.
CONCLUSION CONCLUSIONS
We identified potential metabolite biomarkers of sweet and fatty snacks in children, of which three biomarkers of chocolate intake, namely theobromine, xanthosine, and cyclo(L-prolyl-L-valyl) were externally replicated. However, these potential biomarkers require further validation in children.

Identifiants

pubmed: 39332769
pii: S0022-3166(24)01043-5
doi: 10.1016/j.tjnut.2024.09.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no potential conflicts of interest.

Auteurs

Jantje Goerdten (J)

Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany. Electronic address: goerdten@leibniz-bips.de.

Samuel Muli (S)

Unit of Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.

Jodi Rattner (J)

International Agency for Research on Cancer (IARC), Lyon, France.

Mira Merdas (M)

International Agency for Research on Cancer (IARC), Lyon, France.

David Achaintre (D)

International Agency for Research on Cancer (IARC), Lyon, France.

Li Yuan (L)

Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany.

Stefaan De Henauw (S)

Department of Public Health and Primary Care, Ghent University, Ghent, Belgium.

Ronja Foraita (R)

Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany.

Monica Hunsberger (M)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Inge Huybrechts (I)

International Agency for Research on Cancer (IARC), Lyon, France.

Lauren Lissner (L)

School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Dénes Molnár (D)

Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.

Luis A Moreno (LA)

GENUD (Growth, Exercise, NUtrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Instituto Agroalimentario de Aragón (IA2) and Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.

Paola Russo (P)

Institute of Food Sciences, CNR, Avellino, Italy.

Toomas Veidebaum (T)

National Institute for Health Development, Tallinn, Estonia.

Krasimira Aleksandrova (K)

Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany; Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany.

Ute Nöthlings (U)

Unit of Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.

Kolade Oluwagbemigun (K)

Unit of Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.

Pekka Keski-Rahkonen (P)

International Agency for Research on Cancer (IARC), Lyon, France.

Anna Floegel (A)

Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany; Section of Dietetics, Faculty of Agriculture and Food Sciences, Hochschule Neubrandenburg - University of Applied Sciences, Neubrandenburg, Germany.

Classifications MeSH