Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults: the FLAVURS trial

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Standard

Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults : the FLAVURS trial. / Ulaszewska, Maria M.; Trost, Kajetan; Stanstrup, Jan; Tuohy, Kieran M.; Franceschi, Pietro; Chong, Mary Foong Fong; George, Trevor; Minihane, Anne Marie; Lovegrove, Julie A.; Mattivi, Fulvio.

I: Metabolomics, Bind 12, Nr. 2, 32, 2016.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ulaszewska, MM, Trost, K, Stanstrup, J, Tuohy, KM, Franceschi, P, Chong, MFF, George, T, Minihane, AM, Lovegrove, JA & Mattivi, F 2016, 'Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults: the FLAVURS trial', Metabolomics, bind 12, nr. 2, 32. https://doi.org/10.1007/s11306-015-0935-z

APA

Ulaszewska, M. M., Trost, K., Stanstrup, J., Tuohy, K. M., Franceschi, P., Chong, M. F. F., George, T., Minihane, A. M., Lovegrove, J. A., & Mattivi, F. (2016). Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults: the FLAVURS trial. Metabolomics, 12(2), [32]. https://doi.org/10.1007/s11306-015-0935-z

Vancouver

Ulaszewska MM, Trost K, Stanstrup J, Tuohy KM, Franceschi P, Chong MFF o.a. Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults: the FLAVURS trial. Metabolomics. 2016;12(2). 32. https://doi.org/10.1007/s11306-015-0935-z

Author

Ulaszewska, Maria M. ; Trost, Kajetan ; Stanstrup, Jan ; Tuohy, Kieran M. ; Franceschi, Pietro ; Chong, Mary Foong Fong ; George, Trevor ; Minihane, Anne Marie ; Lovegrove, Julie A. ; Mattivi, Fulvio. / Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults : the FLAVURS trial. I: Metabolomics. 2016 ; Bind 12, Nr. 2.

Bibtex

@article{9405fa99244b44f5897a383dd5d6b649,
title = "Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults: the FLAVURS trial",
abstract = "The present study aims to investigate the dose dependent effects of consuming diets enriched in flavonoid-rich and flavonoid-poor fruits and vegetables on the urine metabolome of adults who had a ≥1.5 fold increased risk of cardiovascular diseases. A single-blind, dose-dependent, parallel randomized controlled dietary intervention was conducted where volunteers (n = 126) were randomly assigned to one of three diets: high flavonoid diet, low flavonoid diet or habitual diet as a control for 18 weeks. High resolution LC–MS untargeted metabolomics with minimal sample cleanup was performed using an Orbitrap mass spectrometer. Putative biomarkers which characterize diets with high and low flavonoid content were selected by state-of-the-art data analysis strategies and identified by HR-MS and HR-MS/MS assays. Discrimination between diets was observed by application of two linear mixed models: one including a diet-time interaction effect and the second containing only a time effect. Valerolactones, phenolic acids and their derivatives were among sixteen biomarkers related to the high flavonoid dietary exposure. Four biomarkers related to the low flavonoid diet belonged to the family of phenolic acids. For the first time abscisic acid glucuronide was reported as a biomarker after a dietary intake, however its origins have to be examined by future hypothesis driven experiments using a more targeted approach. This metabolomic analysis has identified a number of dose dependent urinary biomarkers (i.e. proline betaine or iberin-N-acetyl cysteine), which can be used in future observation and intervention studies to assess flavonoids and non-flavonoid phenolic intakes and compliance to fruit and vegetable intervention.",
keywords = "Cardiovascular health, Dietary intervention, Flavonoids, Fruit and vegetables, Untargeted metabolomics, Urine",
author = "Ulaszewska, {Maria M.} and Kajetan Trost and Jan Stanstrup and Tuohy, {Kieran M.} and Pietro Franceschi and Chong, {Mary Foong Fong} and Trevor George and Minihane, {Anne Marie} and Lovegrove, {Julie A.} and Fulvio Mattivi",
year = "2016",
doi = "10.1007/s11306-015-0935-z",
language = "English",
volume = "12",
journal = "Metabolomics",
issn = "1573-3882",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Urinary metabolomic profiling to identify biomarkers of a flavonoid-rich and flavonoid-poor fruits and vegetables diet in adults

T2 - the FLAVURS trial

AU - Ulaszewska, Maria M.

AU - Trost, Kajetan

AU - Stanstrup, Jan

AU - Tuohy, Kieran M.

AU - Franceschi, Pietro

AU - Chong, Mary Foong Fong

AU - George, Trevor

AU - Minihane, Anne Marie

AU - Lovegrove, Julie A.

AU - Mattivi, Fulvio

PY - 2016

Y1 - 2016

N2 - The present study aims to investigate the dose dependent effects of consuming diets enriched in flavonoid-rich and flavonoid-poor fruits and vegetables on the urine metabolome of adults who had a ≥1.5 fold increased risk of cardiovascular diseases. A single-blind, dose-dependent, parallel randomized controlled dietary intervention was conducted where volunteers (n = 126) were randomly assigned to one of three diets: high flavonoid diet, low flavonoid diet or habitual diet as a control for 18 weeks. High resolution LC–MS untargeted metabolomics with minimal sample cleanup was performed using an Orbitrap mass spectrometer. Putative biomarkers which characterize diets with high and low flavonoid content were selected by state-of-the-art data analysis strategies and identified by HR-MS and HR-MS/MS assays. Discrimination between diets was observed by application of two linear mixed models: one including a diet-time interaction effect and the second containing only a time effect. Valerolactones, phenolic acids and their derivatives were among sixteen biomarkers related to the high flavonoid dietary exposure. Four biomarkers related to the low flavonoid diet belonged to the family of phenolic acids. For the first time abscisic acid glucuronide was reported as a biomarker after a dietary intake, however its origins have to be examined by future hypothesis driven experiments using a more targeted approach. This metabolomic analysis has identified a number of dose dependent urinary biomarkers (i.e. proline betaine or iberin-N-acetyl cysteine), which can be used in future observation and intervention studies to assess flavonoids and non-flavonoid phenolic intakes and compliance to fruit and vegetable intervention.

AB - The present study aims to investigate the dose dependent effects of consuming diets enriched in flavonoid-rich and flavonoid-poor fruits and vegetables on the urine metabolome of adults who had a ≥1.5 fold increased risk of cardiovascular diseases. A single-blind, dose-dependent, parallel randomized controlled dietary intervention was conducted where volunteers (n = 126) were randomly assigned to one of three diets: high flavonoid diet, low flavonoid diet or habitual diet as a control for 18 weeks. High resolution LC–MS untargeted metabolomics with minimal sample cleanup was performed using an Orbitrap mass spectrometer. Putative biomarkers which characterize diets with high and low flavonoid content were selected by state-of-the-art data analysis strategies and identified by HR-MS and HR-MS/MS assays. Discrimination between diets was observed by application of two linear mixed models: one including a diet-time interaction effect and the second containing only a time effect. Valerolactones, phenolic acids and their derivatives were among sixteen biomarkers related to the high flavonoid dietary exposure. Four biomarkers related to the low flavonoid diet belonged to the family of phenolic acids. For the first time abscisic acid glucuronide was reported as a biomarker after a dietary intake, however its origins have to be examined by future hypothesis driven experiments using a more targeted approach. This metabolomic analysis has identified a number of dose dependent urinary biomarkers (i.e. proline betaine or iberin-N-acetyl cysteine), which can be used in future observation and intervention studies to assess flavonoids and non-flavonoid phenolic intakes and compliance to fruit and vegetable intervention.

KW - Cardiovascular health

KW - Dietary intervention

KW - Flavonoids

KW - Fruit and vegetables

KW - Untargeted metabolomics

KW - Urine

U2 - 10.1007/s11306-015-0935-z

DO - 10.1007/s11306-015-0935-z

M3 - Journal article

AN - SCOPUS:84955280477

VL - 12

JO - Metabolomics

JF - Metabolomics

SN - 1573-3882

IS - 2

M1 - 32

ER -

ID: 183242970