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Goerdten-et-al_2024_Identification and replication of urine metabolites.pdf 477,48KB
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1000 Titel
  • Identification and replication of urine metabolites associated with short-term and habitual intake of sweet and fatty snacks in European children and adolescents
1000 Autor/in
  1. Goerdten, Jantje |
  2. Muli, Samuel |
  3. Rattner, Jodi |
  4. Merdas, Mira |
  5. Achaintre, David |
  6. Yuan, Li |
  7. De Henauw, Stefaan |
  8. Foraita, Ronja |
  9. Hunsberger, Monica |
  10. Huybrechts, Inge |
  11. Lissner, Lauren |
  12. Molnár, Dénes |
  13. Moreno, Luis A |
  14. Russo, Paola |
  15. Veidebaum, Toomas |
  16. Aleksandrova, Krasimira |
  17. Nöthlings, Ute |
  18. Oluwagbemigun, Kolade |
  19. Keski-Rahkonen, Pekka |
  20. Floegel, Anna |
1000 Erscheinungsjahr 2024
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-09-25
1000 Erschienen in
1000 Quellenangabe
  • 154(11):3274-3285
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.tjnut.2024.09.026 |
  • https://pubmed.ncbi.nlm.nih.gov/39332769/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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. OBJECTIVES: The present study aimed to identify biomarkers of sweet and fatty snack intake in 2 independent cohorts of European children. METHODS: We used data from the IDEFICS/I.Family cohort from baseline (2007/2008) and 2 follow-up examination waves (2009/2010 and 2013/2014). In total, 1788 urine samples from 599 children were analyzed for untargeted metabolomics using high-resolution liquid chromatography-mass spectrometry. Short-term dietary intake was assessed by 24-h dietary recalls, and habitual dietary intake was calculated with the National Cancer Institute method. Data from the Dortmund Nutritional and Anthropometric Longitudinal Designed (DONALD) cohort of 24-h urine samples (n = 567) and 3-d weighted dietary records were used for external replication of results. Multivariate modeling with unbiased variable selection in R algorithms and linear mixed models were used to identify novel biomarkers. Metabolite features significantly associated with dietary intake were then annotated. RESULTS: In total, 66 metabolites were discovered and found to be statistically significant for chocolate candy; cakes, puddings, and cookies; candy and 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 and sweet intake was negatively associated with octenoylcarnitine. CONCLUSIONS: Of the potential metabolite biomarkers of sweet and fatty snacks in children, 3 biomarkers of chocolate intake, namely theobromine, xanthosine, and cyclo(L-prolyl-L-valyl), are externally replicated. However, these potential biomarkers require further validation in children.
1000 Sacherschließung
lokal Biomarker identification
lokal Children and adolescents
lokal Untargeted metabolomics
lokal Sweet and fatty snacks
lokal Metabolite biomarkers of food intake
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7814-1802|https://frl.publisso.de/adhoc/uri/TXVsaSwgU2FtdWVs|https://frl.publisso.de/adhoc/uri/UmF0dG5lciwgSm9kaQ==|https://frl.publisso.de/adhoc/uri/TWVyZGFzLCBNaXJh|https://frl.publisso.de/adhoc/uri/QWNoYWludHJlLCBEYXZpZA==|https://frl.publisso.de/adhoc/uri/WXVhbiwgTGk=|https://frl.publisso.de/adhoc/uri/RGUgSGVuYXV3LCBTdGVmYWFu|https://orcid.org/0000-0003-2216-6653|https://frl.publisso.de/adhoc/uri/SHVuc2JlcmdlciwgTW9uaWNh|https://frl.publisso.de/adhoc/uri/SHV5YnJlY2h0cywgSW5nZQ==|https://frl.publisso.de/adhoc/uri/TGlzc25lciwgTGF1cmVu|https://frl.publisso.de/adhoc/uri/TW9sbsOhciwgRMOpbmVz|https://frl.publisso.de/adhoc/uri/TW9yZW5vLCBMdWlzIEE=|https://frl.publisso.de/adhoc/uri/UnVzc28sIFBhb2xh|https://frl.publisso.de/adhoc/uri/VmVpZGViYXVtLCBUb29tYXM=|https://orcid.org/0000-0002-1275-1827|https://frl.publisso.de/adhoc/uri/TsO2dGhsaW5ncywgVXRl|https://frl.publisso.de/adhoc/uri/T2x1d2FnYmVtaWd1biwgS29sYWRl|https://frl.publisso.de/adhoc/uri/S2Vza2ktUmFoa29uZW4sIFBla2th|https://frl.publisso.de/adhoc/uri/RmxvZWdlbCwgQW5uYQ==
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Agence Nationale de la Recherche |
  3. Sixth Framework Programme |
  4. Seventh Framework Programme |
1000 Fördernummer
  1. 406710821
  2. ANR-18-CE92-0060
  3. 016181 (FOOD)
  4. 266044
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer 406710821
  2. 1000 joinedFunding-child
    1000 Förderer Agence Nationale de la Recherche |
    1000 Förderprogramm -
    1000 Fördernummer ANR-18-CE92-0060
  3. 1000 joinedFunding-child
    1000 Förderer Sixth Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer 016181 (FOOD)
  4. 1000 joinedFunding-child
    1000 Förderer Seventh Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer 266044
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6511923.rdf
1000 Erstellt am 2025-06-26T13:52:15.603+0200
1000 Erstellt von 266
1000 beschreibt frl:6511923
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2025-09-12T14:59:50.461+0200
1000 Objekt bearb. Mon Jun 30 09:37:50 CEST 2025
1000 Vgl. frl:6511923
1000 Oai Id
  1. oai:frl.publisso.de:frl:6511923 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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