Association of Ultraprocessed Foods Intake with Untargeted Metabolomics Profiles in Adolescents and Young Adults in the DONALD Cohort Study
Muli S, Blumenthal A, Conzen CA, Benz ME, Alexy U, Schmid M, Keski-Rahkonen P, Floegel A, Nöthlings U
The Journal of nutrition · 5 citas
Etiquetas de revisión
Solo mecanismosSin ajuste declarado por estilo de vidaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio de cohortes (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Solo mecanismos
- Consumo medido con
- Diarios o recordatorios de alimentación
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- World Health Organization
- Gobierno
- Deutsche Forschungsgemeinschaft
- Gobierno
- Agence Nationale de la Recherche
- Gobierno
- Bundesministerium für Bildung und Forschung
- Gobierno
- Federal Ministry of Education and Research Bonn Office
- Gobierno
- German Research Foundation
- Subvenciones
- Deutsche Forschungsgemeinschaft (406710821); Agence Nationale de la Recherche (ANR-18-CE92-0060); Bundesministerium für Bildung und Forschung (01EA1410A)
Según 6 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2024-09-25 · J Nutr · vol. 154 · número 11 · págs. 3255–3265
- Editorial
- Elsevier BV
- Citado
- 6 citas · más que el 89% de estudios similares · 2.3× el promedio de su campo
- Referencias
- 84 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY
- Áreas de investigación
- Consumer Attitudes and Food Labeling · Nutrition, Genetics, and Disease · Food composition and properties
- Palabras clave
- Metabolomics, Environmental health, Public health, Cohort, Cohort study, Medicine, Gerontology, Biology, Bioinformatics, Internal medicine, Pathology
- MeSH
- humans, diet, cohort studies, longitudinal studies, cross-sectional studies, food handling, adolescent, adult, diet records, female, male, metabolomics, young adult, fast foods, biomarkers
9 autores
- Samuel Muli🇩🇪University of Bonn
- Annika Blumenthal🇩🇪University of Bonn
- Christina‐Alexandra Conzen🇩🇪University of Bonn
- Maike Elena Benz🇩🇪University of Bonn
- Ute Alexy🇩🇪University of Bonn
- Matthias C. Schmid🇩🇪University Hospital Bonn; Institut für Medizinische Biometrie, Informatik und Epidemiologie
- Pekka Keski‐Rahkonen🇫🇷Centre international de recherche sur le cancer
- Anna Floegel🇩🇪Neubrandenburg University of Applied Sciences
- Ute Nöthlings🇩🇪 · autor de correspondenciaUniversity of Bonn
Resumen
El texto original del estudio, en el idioma en que se publicó.
Background
High consumption of ultraprocessed foods (UPFs) continues to draw significant public health interest because of the associated negative health outcomes. Metabolomics can contribute to the understanding of the biological mechanisms through which UPFs may influence health.
Objectives
To investigate urine and plasma metabolomic biomarkers of UPF intake in adolescents and young adults.
Methods
We used data from the Dortmund Nutritional and Anthropometric Longitudinally Designed study to investigate cross-sectional associations of UPF intake with concentrations of urine metabolites in adolescents using 3d weighed dietary records (3d-WDR) and 24-h urine samples (n = 339), and associations of repeatedly assessed UPF intake with concentrations of circulating plasma metabolites in young adults with 3-6 3d-WDRs within 5 y preceding blood measurement (n = 195). Urine and plasma samples were analyzed using mass spectrometry-based metabolomics. Biosample-specific metabolite patterns (MPs) were determined using robust sparse principal components analysis. Multivariable linear regression models were applied to assess the associations of UPF consumption (as a percentage of total food intake in g/d) with concentrations of individual metabolites and MP scores.
Results
The median proportion of UPF intake was 22.0% [interquartile range (IQR): 12.3, 32.9] in adolescents and 23.2% (IQR: 16.0, 31.6) in young adults. We identified 42 and 6 UPF intake-associated metabolites in urine and plasma samples, respectively. One urinary MP, "xenobiotics and amino acids" [β = 0.042, 95% confidence interval (CI): 0.014, 0.070] and 1 plasma MP, "lipids, xenobiotics, and amino acids" (β = 0.074, 95% CI: 0.031, 0.117) showed positive association with UPF intake. Both patterns shared 29 metabolites, mostly of xenobiotic metabolism.
Conclusions
We identified urine and plasma metabolites associated with UPF intake in adolescents and young adults, which may represent some of the biological mechanisms through which UPFs may influence metabolism and health.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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