Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial

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Standard

Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial. / Acar, Evrim; Gürdeniz, Gözde; Khakimov, Bekzod; Savorani, Francesco; Korndal, Sanne Kellebjerg; Larsen, Thomas Meinert; Engelsen, Søren Balling; Astrup, Arne; Dragsted, Lars Ove.

I: Molecular Nutrition & Food Research, Bind 63, Nr. 1, 1800215, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Acar, E, Gürdeniz, G, Khakimov, B, Savorani, F, Korndal, SK, Larsen, TM, Engelsen, SB, Astrup, A & Dragsted, LO 2019, 'Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial', Molecular Nutrition & Food Research, bind 63, nr. 1, 1800215. https://doi.org/10.1002/mnfr.201800215

APA

Acar, E., Gürdeniz, G., Khakimov, B., Savorani, F., Korndal, S. K., Larsen, T. M., ... Dragsted, L. O. (2019). Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial. Molecular Nutrition & Food Research, 63(1), [1800215]. https://doi.org/10.1002/mnfr.201800215

Vancouver

Acar E, Gürdeniz G, Khakimov B, Savorani F, Korndal SK, Larsen TM o.a. Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial. Molecular Nutrition & Food Research. 2019;63(1). 1800215. https://doi.org/10.1002/mnfr.201800215

Author

Acar, Evrim ; Gürdeniz, Gözde ; Khakimov, Bekzod ; Savorani, Francesco ; Korndal, Sanne Kellebjerg ; Larsen, Thomas Meinert ; Engelsen, Søren Balling ; Astrup, Arne ; Dragsted, Lars Ove. / Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial. I: Molecular Nutrition & Food Research. 2019 ; Bind 63, Nr. 1.

Bibtex

@article{35d9a66e27844026b9a0f0be8ca6db5a,
title = "Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial",
abstract = "Scope: Self-reported dietary intake does not represent an objective unbiased assessment. We investigate the effect of the New Nordic Diet (NND) versus Average Danish Diet (ADD) on plasma metabolic profiles to identify biomarkers of compliance and metabolic effects.Methods and Results: In a 26-week controlled dietary intervention study, 146 subjects followed either NND, a predominantly organic diet high in fruit, vegetables, whole grains, and fish, or ADD, a diet higher in imported and processed foods. Fasting plasma samples were analyzed with untargeted UPLC-QTOF. We demonstrate that supervised machine learning with feature selection can separate NND and ADD samples with an average test set performance of up to 0.88 Area Under the Curve. The NND plasma metabolome was characterized by diet related metabolites such as pipecolic acid betaine (whole grain), trimethylamine oxide and prolyl hydroxyproline (both fish intake) while theobromine (chocolate) and proline betaine (citrus) were associated with ADD. Amino acid (i.e., indolelactic acid and hydroxy-3-methylbutyrate) and fat metabolism (butyryl carnitine) characterized ADD while NND was associated with higher concentrations of polyunsaturated phosphatidylcholines.Conclusions: The plasma metabolite profiles were predictive of dietary patterns and reflected good compliance while indicating effects of potential health benefit, including changes in fat metabolism and glucose utilization. This article is protected by copyright. All rights reserved.",
keywords = "Faculty of Science, Untargeted metabolomics, LC-MS, Plasma, Biomarker patterns, Compliance",
author = "Evrim Acar and G{\"o}zde G{\"u}rdeniz and Bekzod Khakimov and Francesco Savorani and Korndal, {Sanne Kellebjerg} and Larsen, {Thomas Meinert} and Engelsen, {S{\o}ren Balling} and Arne Astrup and Dragsted, {Lars Ove}",
note = "CURIS 2019 NEXS 010",
year = "2019",
doi = "10.1002/mnfr.201800215",
language = "English",
volume = "63",
journal = "Molecular Nutrition & Food Research",
issn = "1613-4125",
publisher = "Wiley-VCH",
number = "1",

}

RIS

TY - JOUR

T1 - Biomarkers of individual foods, and separation of diets using untargeted LC-MS-based plasma metabolomics in a randomized controlled trial

AU - Acar, Evrim

AU - Gürdeniz, Gözde

AU - Khakimov, Bekzod

AU - Savorani, Francesco

AU - Korndal, Sanne Kellebjerg

AU - Larsen, Thomas Meinert

AU - Engelsen, Søren Balling

AU - Astrup, Arne

AU - Dragsted, Lars Ove

N1 - CURIS 2019 NEXS 010

PY - 2019

Y1 - 2019

N2 - Scope: Self-reported dietary intake does not represent an objective unbiased assessment. We investigate the effect of the New Nordic Diet (NND) versus Average Danish Diet (ADD) on plasma metabolic profiles to identify biomarkers of compliance and metabolic effects.Methods and Results: In a 26-week controlled dietary intervention study, 146 subjects followed either NND, a predominantly organic diet high in fruit, vegetables, whole grains, and fish, or ADD, a diet higher in imported and processed foods. Fasting plasma samples were analyzed with untargeted UPLC-QTOF. We demonstrate that supervised machine learning with feature selection can separate NND and ADD samples with an average test set performance of up to 0.88 Area Under the Curve. The NND plasma metabolome was characterized by diet related metabolites such as pipecolic acid betaine (whole grain), trimethylamine oxide and prolyl hydroxyproline (both fish intake) while theobromine (chocolate) and proline betaine (citrus) were associated with ADD. Amino acid (i.e., indolelactic acid and hydroxy-3-methylbutyrate) and fat metabolism (butyryl carnitine) characterized ADD while NND was associated with higher concentrations of polyunsaturated phosphatidylcholines.Conclusions: The plasma metabolite profiles were predictive of dietary patterns and reflected good compliance while indicating effects of potential health benefit, including changes in fat metabolism and glucose utilization. This article is protected by copyright. All rights reserved.

AB - Scope: Self-reported dietary intake does not represent an objective unbiased assessment. We investigate the effect of the New Nordic Diet (NND) versus Average Danish Diet (ADD) on plasma metabolic profiles to identify biomarkers of compliance and metabolic effects.Methods and Results: In a 26-week controlled dietary intervention study, 146 subjects followed either NND, a predominantly organic diet high in fruit, vegetables, whole grains, and fish, or ADD, a diet higher in imported and processed foods. Fasting plasma samples were analyzed with untargeted UPLC-QTOF. We demonstrate that supervised machine learning with feature selection can separate NND and ADD samples with an average test set performance of up to 0.88 Area Under the Curve. The NND plasma metabolome was characterized by diet related metabolites such as pipecolic acid betaine (whole grain), trimethylamine oxide and prolyl hydroxyproline (both fish intake) while theobromine (chocolate) and proline betaine (citrus) were associated with ADD. Amino acid (i.e., indolelactic acid and hydroxy-3-methylbutyrate) and fat metabolism (butyryl carnitine) characterized ADD while NND was associated with higher concentrations of polyunsaturated phosphatidylcholines.Conclusions: The plasma metabolite profiles were predictive of dietary patterns and reflected good compliance while indicating effects of potential health benefit, including changes in fat metabolism and glucose utilization. This article is protected by copyright. All rights reserved.

KW - Faculty of Science

KW - Untargeted metabolomics

KW - LC-MS

KW - Plasma

KW - Biomarker patterns

KW - Compliance

U2 - 10.1002/mnfr.201800215

DO - 10.1002/mnfr.201800215

M3 - Journal article

C2 - 30094970

VL - 63

JO - Molecular Nutrition & Food Research

JF - Molecular Nutrition & Food Research

SN - 1613-4125

IS - 1

M1 - 1800215

ER -

ID: 201041527