Nowadays, nutrition focuses on improving health of individuals through diet. Current nutritional research aims at health promotion, disease prevention, and performance improvement. Human intervention trials have provided evidence for protective effects of various (poly)phenol-rich foods against chronic disease, including cardiovascular disease, neurodegeneration, osteoporosis and cancer. However, overall impact of polyphenols on human metabolome is not fully known. It is clear, that dietary biomarkers require much further research in order to be better applied and interpreted. A single-blind, dose-dependent, parallel randomized controlled dietary intervention study was designed to measure the dose-response relation between high-flavonoid (HF), lowflavonoid (LF), and habitual F&V intakes and vascular health together with metabolomics profiling and cardiovascular disease (CVD) risk indicators. We aimed with a comprehensive metabolomic analysis of urine to examine thousands of compounds in search of nutritional biomarkers with their complete structural identification. Therefore we applied LC-HR-MS method using Orbitrap LTQ with its unique combination of linear ion trap and FT technologies, which enables rapid, sensitive and reliable detection of small molecules. Metabolomics data together with microvascular reactivity and arterial stiffness measurements support recommendations to increase F&V intake to >6 portions daily, with specific additional benefit from F&Vs that are rich in flavonoids

Ulaszewska, M.M.; Trost, K.; Tuohy, K.; Stanstrup, J.; Franceschi, P.; Lovegrove, J.A.; The FLAVURS, G.; Mattivi, F. (2014). LC-HR-MS/MS based untargeted metabolomics for urinary biomarker discovery of chronic high and low flavonoid fruit and vegetables intake in humans. In: 11th NugoWeek 2014: Nutrigenomics of food, Castellammare di Stabia, Napoli, Italy, 8-11 settembre 2014. handle: http://hdl.handle.net/10449/51487

LC-HR-MS/MS based untargeted metabolomics for urinary biomarker discovery of chronic high and low flavonoid fruit and vegetables intake in humans

Ulaszewska, M. M.
;
Trost, K.;Tuohy, K.;Stanstrup, J.;Franceschi P.;Mattivi, F.
2014-01-01

Abstract

Nowadays, nutrition focuses on improving health of individuals through diet. Current nutritional research aims at health promotion, disease prevention, and performance improvement. Human intervention trials have provided evidence for protective effects of various (poly)phenol-rich foods against chronic disease, including cardiovascular disease, neurodegeneration, osteoporosis and cancer. However, overall impact of polyphenols on human metabolome is not fully known. It is clear, that dietary biomarkers require much further research in order to be better applied and interpreted. A single-blind, dose-dependent, parallel randomized controlled dietary intervention study was designed to measure the dose-response relation between high-flavonoid (HF), lowflavonoid (LF), and habitual F&V intakes and vascular health together with metabolomics profiling and cardiovascular disease (CVD) risk indicators. We aimed with a comprehensive metabolomic analysis of urine to examine thousands of compounds in search of nutritional biomarkers with their complete structural identification. Therefore we applied LC-HR-MS method using Orbitrap LTQ with its unique combination of linear ion trap and FT technologies, which enables rapid, sensitive and reliable detection of small molecules. Metabolomics data together with microvascular reactivity and arterial stiffness measurements support recommendations to increase F&V intake to >6 portions daily, with specific additional benefit from F&Vs that are rich in flavonoids
2014
Ulaszewska, M.M.; Trost, K.; Tuohy, K.; Stanstrup, J.; Franceschi, P.; Lovegrove, J.A.; The FLAVURS, G.; Mattivi, F. (2014). LC-HR-MS/MS based untargeted metabolomics for urinary biomarker discovery of chronic high and low flavonoid fruit and vegetables intake in humans. In: 11th NugoWeek 2014: Nutrigenomics of food, Castellammare di Stabia, Napoli, Italy, 8-11 settembre 2014. handle: http://hdl.handle.net/10449/51487
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