Stefania Noerman1,2, Jyrki K Virtanen3, Marko Lehtonen4, Carl Brunius5, Kati Hanhineva6,7. 1. Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. noerman@chalmers.se. 2. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. noerman@chalmers.se. 3. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. 4. School of Pharmacy, University of Eastern Finland, Kuopio, Finland. 5. Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. 6. Department of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, Turku, Finland. kati.hanhineva@utu.fi. 7. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. kati.hanhineva@utu.fi.
Abstract
PURPOSE: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. METHODS: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) cohort. The samples were analyzed using nontargeted metabolomics with liquid chromatography coupled with mass spectrometry (LC-MS). Association with WG intake was investigated using both random forest followed by linear regression adjusted for age, BMI, smoking, physical activity, energy and alcohol consumption, and partial Spearman correlation adjusted for the same covariates. Features selected by any of these models were shortlisted for annotation. We then checked if we could replicate the findings in an independent subset from the same cohort (n = 200). RESULTS: Direct associations were observed between WG intake and pipecolic acid betaine, tetradecanedioic acid, four glucuronidated alkylresorcinols (ARs), and an unknown metabolite both in discovery and replication cohorts. The associations remained significant (FDR<0.05) even after adjustment for the confounders in both cohorts. Sinapyl alcohol was positively correlated with WG intake in both cohorts after adjustment for the confounders but not in linear models in the replication cohort. Some microbial metabolites, such as indolepropionic acid, were positively correlated with WG intake in the discovery cohort, but the correlations were not replicated in the replication cohort. CONCLUSIONS: The identified associations between WG intake and the seven metabolites after adjusting for confounders in both discovery and replication cohorts suggest the potential of these metabolites as robust biomarkers of WG consumption.
PURPOSE: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. METHODS: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) cohort. The samples were analyzed using nontargeted metabolomics with liquid chromatography coupled with mass spectrometry (LC-MS). Association with WG intake was investigated using both random forest followed by linear regression adjusted for age, BMI, smoking, physical activity, energy and alcohol consumption, and partial Spearman correlation adjusted for the same covariates. Features selected by any of these models were shortlisted for annotation. We then checked if we could replicate the findings in an independent subset from the same cohort (n = 200). RESULTS: Direct associations were observed between WG intake and pipecolic acid betaine, tetradecanedioic acid, four glucuronidated alkylresorcinols (ARs), and an unknown metabolite both in discovery and replication cohorts. The associations remained significant (FDR<0.05) even after adjustment for the confounders in both cohorts. Sinapyl alcohol was positively correlated with WG intake in both cohorts after adjustment for the confounders but not in linear models in the replication cohort. Some microbial metabolites, such as indolepropionic acid, were positively correlated with WG intake in the discovery cohort, but the correlations were not replicated in the replication cohort. CONCLUSIONS: The identified associations between WG intake and the seven metabolites after adjusting for confounders in both discovery and replication cohorts suggest the potential of these metabolites as robust biomarkers of WG consumption.
Authors: Kati Hanhineva; Maria A Lankinen; Anna Pedret; Ursula Schwab; Marjukka Kolehmainen; Jussi Paananen; Vanessa de Mello; Rosa Sola; Marko Lehtonen; Kaisa Poutanen; Matti Uusitupa; Hannu Mykkänen Journal: J Nutr Date: 2014-11-12 Impact factor: 4.798
Authors: Olli Kärkkäinen; Maria A Lankinen; Marilena Vitale; Jenna Jokkala; Jukka Leppänen; Ville Koistinen; Marko Lehtonen; Rosalba Giacco; Natalia Rosa-Sibakov; Valérie Micard; Angela A A Rivellese; Ursula Schwab; Hannu Mykkänen; Matti Uusitupa; Marjukka Kolehmainen; Gabriele Riccardi; Kaisa Poutanen; Seppo Auriola; Kati Hanhineva Journal: Am J Clin Nutr Date: 2018-11-01 Impact factor: 7.045
Authors: L O Dragsted; Q Gao; A Scalbert; G Vergères; M Kolehmainen; C Manach; L Brennan; L A Afman; D S Wishart; C Andres Lacueva; M Garcia-Aloy; H Verhagen; E J M Feskens; G Praticò Journal: Genes Nutr Date: 2018-05-30 Impact factor: 5.523