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

O’Sullivan, Aifric; Gibney, Michael J.; Brennan, Lorraine

doi:10.3945/ajcn.110.000950

Cited by 263 publications

(216 citation statements)

References 34 publications

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“…Likewise, in the LFD group, a moderate association (r>0.4, p<0.05) was found with reported red meat intake from the FFQ for histidine, 3-MH and carnosine. Some studies exhibited metabolites being discriminant among lactovegetarian and omnivorous people, showing a decreased excretion of them in people following vegetarian diets, while an increase of N-Ac, citrate, glycine and PAGN is evidenced (18,19) in vegetarian diets. Similarly, a moderate association (r>0.3, p<0.05) was found with some MD-associated metabolites (3-HB, leucine, isobutyric, 2-oxoisovaleric acid, N-Ac, proline, glycine p-cresol and PAGN) with vegetable, legume and fruit intake in MD groups from the FFQ.…”

Section: Food Intake Metabolites (Food Metabolome) Particular For Eacmentioning

confidence: 99%

“…For instance, population-based studies have shown marked differences in metabolic profiles within and between populations that reflect dietary differences (16,17). A number of metabolic profiling studies have been undertaken to assess the metabolic phenotype of humans due to their dietary pattern (18,19). Moreover, a metabolomic approach has been proposed to evaluate the intricate relationship between nutrition and health (20).…”

Section: Introductionmentioning

confidence: 99%

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Metabolomic Pattern Analysis after Mediterranean Diet Intervention in a Nondiabetic Population: A 1- and 3-Year Follow-up in the PREDIMED Study

et al. 2014

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The Mediterranean diet (MD) is considered a dietary pattern with beneficial effects on human health. The aim of this study was to assess the effect of an MD on urinary metabolome by comparing subjects at 1 and 3 years of follow-up, after an MD supplemented with either extra-virgin olive oil (MD+EVOO) or nuts (MD+Nuts), to those on advice to follow a control low-fat diet (LFD). Ninety-eight non-diabetic volunteers were evaluated, using metabolomic approaches, corresponding to MD+EVOO (n=41), MD+Nuts (n=27) or LFD (n=30) groups. The 1 H-NMR urinary profiles were examined at baseline, after 1 and 3 years of follow-up. Multivariate data analysis (OSC-PLS-DA and HCA) methods were used to identify the potential biomarker discriminating groups, exhibiting a urinary metabolome separation between MD groups against baseline and LFD. Results revealed that the most prominent hallmarks concerning MD groups were related to the metabolism of carbohydrates (3-hydroxybutyrate, citrate, cis-aconitate), creatine, creatinine, amino acids (proline, Nacetylglutamine, glycine, branched-chain amino acids and derived metabolites), lipids(oleic and suberic acids), and microbial co-metabolites (phenylacetylglutamine, pcresol). Otherwise, hippurate, trimethylamine-N-oxide, histidine and derivates (methylhistidines, carnosine, anserine) and xanthosine were predominant after LFD. The application of NMR-based metabolomics enabled the classification of individuals regarding their dietary pattern and highlights the potential of this approach for evaluating changes in the urinary metabolome at different time points of follow-up in response to specific dietary interventions.2

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Section: Food Intake Metabolites (Food Metabolome) Particular For Eacmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolomic Pattern Analysis after Mediterranean Diet Intervention in a Nondiabetic Population: A 1- and 3-Year Follow-up in the PREDIMED Study

et al. 2014

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“…In a few other studies, TMAO levels in urine and plasma have also been associated 476 with intake of red meat, egg and dairy food (29,32,42,43 Table 7 for details on statistical results. T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 T0 T2 T24 W1 W2 W3 W1 W2 W3 W1 W2 W3 W1 W2 W3 A B…”

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confidence: 99%

A metabolomic study of biomarkers of meat and fish intake ,

Cheung

Keski‐Rahkonen

Assi

et al. 2017

The American Journal of Clinical Nutrition

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176

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Background: Meat and fish intakes have been associated with various chronic diseases. The use of specific biomarkers may help to assess meat and fish intake and improve subject classification according to the amount and type of meat or fish consumed. Objective: A metabolomic approach was applied to search for biomarkers of meat and fish intake in a dietary intervention study and in free-living subjects from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Design: In the dietary intervention study, 4 groups of 10 subjects consumed increasing quantities of chicken, red meat, processed meat, and fish over 3 successive weeks. Twenty-four-hour urine samples were collected during each period and analyzed by high-resolution liquid chromatography–mass spectrometry. Signals characteristic of meat or fish intake were replicated in 50 EPIC subjects for whom a 24-h urine sample and 24-h dietary recall were available and who were selected for their exclusive intake or no intake of any of the 4 same foods. Results: A total of 249 mass spectrometric features showed a positive dose-dependent response to meat or fish intake in the intervention study. Eighteen of these features best predicted intake of the 4 food groups in the EPIC urine samples on the basis of partial receiver operator curve analyses with permutation testing (areas under the curve ranging between 0.61 and 1.0). Of these signals, 8 metabolites were identified. Anserine was found to be specific for chicken intake, whereas trimethylamine-N-oxide showed good specificity for fish. Carnosine and 3 acylcarnitines (acetylcarnitine, propionylcarnitine, and 2-methylbutyrylcarnitine) appeared to be more generic indicators of meat and meat and fish intake, respectively. Conclusion: The meat and fish biomarkers identified in this work may be used to study associations between meat and fish intake and disease risk in epidemiologic studies. This trial was registered at clinicaltrials.gov as NCT01684917

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“…The concept of identifying biomarkers using dietary patterns in combination with metabolomic patterns was pioneered in our research group (71) . Since then, this approach has been used in a number of studies (72)(73)(74)(75)(76) , where patterns of intake are related to metabolomic patterns (2) .…”

Section: Use Of Dietary Patterns To Identify Biomarkers Of Intakementioning

confidence: 99%

The role of metabolomics in determination of new dietary biomarkers

O’Gorman

Brennan

2017

Proc. Nutr. Soc.

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Traditional methods for the assessment of dietary intake are prone to error; in order to improve and enhance these methods increasing interest in the identification of dietary biomarkers has materialised. Metabolomics has emerged as a key tool in the area of dietary biomarker discovery and to date the use of metabolomics has identified a number of putative biomarkers. Applications to identify novel biomarkers of intake have in general taken three approaches: (1) specific acute intervention studies to identify specific biomarkers of intake; (2) searching for biomarkers in cohort studies by correlating to self-reported intake of a specific food/food group(s); (3) analysing dietary patterns in conjunction with metabolomic profiles to identify biomarkers and nutritypes. A number of analytical technologies are employed in metabolomics as currently there is no single technique capable of measuring the entire metabolome. These approaches each have their own advantages and disadvantages. The present review will provide an overview of current technologies and applications of metabolomics in the determination of new dietary biomarkers. In addition, it will address some of the current challenges in the field and future outlooks.

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

Abstract: Habitual dietary patterns are shown in metabolomic data. This approach successfully identified potential biomarkers of red-meat and vegetable intakes.

Cited by 263 publications

References 34 publications

Metabolomic Pattern Analysis after Mediterranean Diet Intervention in a Nondiabetic Population: A 1- and 3-Year Follow-up in the PREDIMED Study

Metabolomic Pattern Analysis after Mediterranean Diet Intervention in a Nondiabetic Population: A 1- and 3-Year Follow-up in the PREDIMED Study

A metabolomic study of biomarkers of meat and fish intake ,

The role of metabolomics in determination of new dietary biomarkers

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