H-1 NMR-based metabolic fingerprinting of urine metabolites after consumption of lingonberries (Vaccinium vitis-idaea) with a high-fat meal


The use of NMR metabolomics in clinical trials is growing; however, reports of postprandial experiments in humans are scarce. The present study investigated whether consumption of lingonberries as a supplement to an oil-rich meal modifies the postprandial fingerprints of human urine. Urine samples were analysed by H-1 NMR, and untargeted multivariate analysis was applied to the data for comprehensive fingerprinting. A clear separation of postprandial lingonberry meal samples was revealed. To evaluate statistical differences, a targeted approach was applied for the informative spectral areas. Significantly (p < 0.05) increased levels of polyphenol metabolites, hippuric acid and 4-hydroxyhippuric acid, and decreased creatinine and dimethylamine levels were the major explanations for the grouping of the postprandial samples after the different meals. Thus, inclusion of polyphenol-rich lingonberry powder in a rapeseed oil-rich meal modifies the metabolic profile of urine which may be used to reveal both consumption of berries and health-promoting changes in the common metabolism. (C) 2012 Elsevier Ltd. All rights reserved.




Chemistry; Food Science & Technology; Nutrition & Dietetics


Lehtonen, HM; Lindstedt, A; Jarvinen, R; Sinkkonen, J; Graca, G; Viitanen, M; Kallio, H; Gil, AM

nossos autores


The present study was performed as part of a LUMABS-project funded by ABS Graduate School, Finnish Food and Drink Industries' Federation (ETL), Turku University Foundation, Juho Vainio Foundation, Magnus Ehrnrooth Foundation, and Raisio Oyj Research Foundation. The authors would like to thank Katja Tanner, Hannele Jokioinen and Jie Zheng for skillful technical assistance and Kaisa Linderborg for advice on clinical study arrangements. Study subjects who participated in the study are also thanked. A.M.G. thanks Bruker BioSpin, Germany for access to databases and acknowledges funding from the European Regional Development Fund through the Competitive Factors Thematic Operational Programme and from the Foundation for Science and Technology (FCT), Portugal, the Portuguese National NMR Network (RNRMN) supported with FCT funds, and Pest-C/CTM/LA0011/2011. G.G. acknowledges funding from Foundation for Science and Technology (FCT), Portugal, Grant SFRH/BD/41869/2007.

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