4.8 Article

Urinary metabolic biomarkers of diet quality in European children are associated with metabolic health

期刊

ELIFE
卷 11, 期 -, 页码 -

出版社

eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.71332

关键词

metabolomics; NMR spectroscopy; mediterranean diet adherence; ultra-processed food intake; european children; Human

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资金

  1. European Community's Seventh Framework Programme (FP7) [308333]
  2. European Union's Horizon 2020 [774548]
  3. National Institutes of Health (NIH)/National Institute of Environmental Health Sciences (NIEHS) [R21ES02968]
  4. National Institute for Health Research Applied Research Collaboration for Yorkshire and Humber
  5. Instituto de Salud Carlos III [MS16/00128]
  6. Research Council of Norway, under the MILJOFORSK program [268465]
  7. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo [2016/14302-7, 2018/19820-1]
  8. Instituto de Salud Carlos III (ISCIII)
  9. ERDF [PT17/0019]
  10. NIH/NIEHS [R01ES029944, R01ES030691, R01ES030364]
  11. NIH [P01CA196569, R01CA140561, R01ES016813, P30DK048522]
  12. Departament de Salut de la Generalitat de Catalunya Spanish regional program PERIS [SLT017/20/000119]

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Urinary metabolic profiling is a promising tool to evaluate diet quality in European children, and it is associated with markers of insulin resistance. This method can help study diet quality and identify biological pathways related to metabolic diseases.
Urinary metabolic profiling is a promising powerful tool to reflect dietary intake and can help understand metabolic alterations in response to diet quality. Here, we used H-1 NMR spectroscopy in a multicountry study in European children (1147 children from 6 different cohorts) and identified a common panel of 4 urinary metabolites (hippurate, N-methylnicotinic acid, urea, and sucrose) that was predictive of Mediterranean diet adherence (KIDMED) and ultra-processed food consumption and also had higher capacity in discriminating children's diet quality than that of established sociodemographic determinants. Further, we showed that the identified metabolite panel also reflected the associations of these diet quality indicators with C-peptide, a stable and accurate marker of insulin resistance and future risk of metabolic disease. This methodology enables objective assessment of dietary patterns in European child populations, complementary to traditional questionary methods, and can be used in future studies to evaluate diet quality. Moreover, this knowledge can provide mechanistic evidence of common biological pathways that characterize healthy and unhealthy dietary patterns, and diet-related molecular alterations that could associate to metabolic disease.

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