Cited by 297Metabolomics and Mass Spectrometry StudiesNutritional Studies and DietNutrition, Genetics, and Disease

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Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies

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O'Sullivan, Aifric, Gibney, Michael J, Brennan, Lorraine·2011·The American Journal of Clinical Nutrition

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Abstract

Background It has been suggested that metabolomics could play a role in dietary assessment and identification of novel biomarkers of dietary intake.Objective This study examined the link between habitual dietary patterns and metabolomic profiles.Design A total of 160 volunteers participated in a double-blind, randomized, placebo-controlled dietary intervention. We collected biofluids and recorded 3-d food diaries. Food data were reduced to 33 food groups, and a k-means cluster analysis was performed to identify dietary patterns. (1)H Nuclear magnetic resonance (NMR) spectra were acquired for plasma and urine samples, and gas chromatography was used for plasma fatty acid profiling.Results Cluster analysis identified 3 distinct dietary patterns on the basis of the energy contribution of different food groups. Dietary clusters were reflected in plasma fatty acid profiles and in metabolomic data. (1)H NMR spectra of urine allowed the identification of metabolites associated with different dietary patterns. Several of the metabolites identified were linked to the intake of specific food groups; in particular, there was a positive association between O-acetylcarnitine and phenylacetylglutamine and red-meat and vegetable intakes, respectively.Conclusions Habitual dietary patterns are shown in metabolomic data. This approach successfully identified potential biomarkers of red-meat and vegetable intakes.

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Authors: O'Sullivan, A., Gibney, M. J., & Brennan, L.
Affiliations: University College Dublin (IE)
Corresponding author: Gibney, Michael J
ORCID: Gibney, Michael J
Brennan, Lorraine
Venue: The American Journal of Clinical Nutrition
Publisher: Elsevier BV
Published: 2011-02
Volume: 93
Issue: 2
Pages: 314-321
ISSN: 0002-9165 (ISSN-L)
DOI: 10.3945/ajcn.110.000950
OpenAlex: W2168306106
Cited by: 297
References: 36
Citations by year: 2026: 8 · 2025: 13 · 2024: 15 · 2023: 11 · 2022: 11 · 2021: 17 · 2020: 25 · 2019: 23 · 2018: 24 · 2017: 24 · 2016: 23 · 2015: 21 · 2014: 26 · 2013: 24 · 2012: 19
FWCI: 7.29
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 4402 d)
Locations: American Journal of Clinical Nutrition (publishedVersion)
PubMed (publishedVersion)
Newcastle University ePrints (Newcastle Univesity)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
Keywords: dietary habits, metabolomics, dietary biomarkers, dietary assessment, plasma fatty acid profile, urinary metabolites, phenylacetylglutamine, red meat consumption, vegetable consumption, food diary, plasma metabolites
MeSH terms: Acetylcarnitine, Adolescent, Adult, Energy Intake, Chromatography, Gas, Diet, Double-Blind Method, Fatty Acids, Female, Glutamine, Humans, Male, Meat, Middle Aged, Magnetic Resonance Spectroscopy, Vegetables, Biomarkers, Nutrition Assessment, Diet Records, Cluster Analysis, Metabolome, Young Adult

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Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies

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