We utilize metabolomics to validate self-reported dietary information from participants in our studies. This applies to both less) controlled dietary interventions and larger epidemiological cohorts. We measure metabolites in serum or urine and analyze them using NMR or LC-MS methods. Among our investigations, we’ve explored fatty acid patterns, compared mixed diets to vegan diets, and examined British versus Scandinavian breakfasts. Additionally, we explore whether it’s possible to predict which individuals respond to different dietary interventions by measuring metabolomics before and after interventions.
The following are various studies that we have conducted/are currently working on.
Nutritional metabolomics: capturing habitual diet patterns and their relation to health outcomes in the population
Globally sub-optimal diet is a leading risk factor for premature death. Dietary intake is difficult to measure, hampering research and preventive measures. The overall goal of the metabolomics program at Clinical Nutrition is to use nutritional metabolomics to objectively describe intake of major food groups in healthy diets, combined with self-reported intake, among individuals in large epidemiological cohorts and link the intake to later health.
The BARITONE project (Biomarker pAtterns rEflecting habITual fOod iNtakE) funded by the Swedish Research Council 2026-2029, aims to discover putative biomarkers for different protein sources, for berries, fruit and vegetables and for whole grain.
A sample of 210 healthy adults will be extensively characterized on habitual diet and phenotype. Of these 60 will be included in a cross-over feeding trial. Prediction models of trial diets will be developed from metabolite patterns in blood and urine using machine learning. These models will thereafter be validated in data on habitual intake from the initial group of 210 adults. The models will subsequentially be applied to a subsample of the Västerbotten cohort with metabolomics data to calibrate self-reported intake data. Dietary intake data from the entire Västerbotten cohort will then be linked to later mortality and morbidity.
The principal investigator for this research is Anna Winkvist.
Collaborator: Helen Lindqvist
Acute metabolomic responses to intakes of different brans and breakfasts in randomized cross-over trials—proof of concept: Here, we demonstrated that MS and NMR serum and urine metabolomics could be used to describe acute metabolic fingerprints from individual meals and to identify new biomarkers for dietary intake.
- Rådjursöga, M., Lindqvist, H.M., Pedersen, A., Karlsson, G., Malmodin, D., Brunius, C., Ellegård, L., Winkvist, A. The 1H NMR Serum Metabolomics Response to a Two Meal Challenge: a Cross-Over Dietary Intervention Study in Healthy Human Volunteers. Nutr J 2019. Apr 8;18(1):25.
- Rådjursöga, M., Karlsson, G., Lindqvist, H., Pedersen, A., Persson, C., Pinto, R.C., Ellegard, L., Winkvist, A. Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics. Food Chemistry 2017;231:267-74.
- Rådjursöga, M., Lindqvist, H.M., Pedersen, A., Karlsson, G., Malmodin, D., Ellegård, L., Winkvist, A. Nutritional metabolomics: postprandial response of meals relating to vegan, lacto-ovo vegetarian, and omnivore diets. Nutrients. 2018 Aug 10;10(8).
- Rådjursöga, M., Karlsson, G., Persson, C., Malmendal, A., Moritz, T., Pinto, R.C., Winkvist, A., Ellegård, L. Discriminating between oat bran and wheat bran intake by nutritional metabolomics—a pilot study. 13th Scandinavian Symposium on Chemometrics, Stockholm, Sweden, June 17-20, 2013.
- Rådjursöga, M., Karlsson, G., Lindqvist, H., Pedersen, A., Persson, C., Pinto, R.C., Ellegård, L., Winkvist, A. Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics. 12th Annual Conference of the Metabolomics Society, Dublin, Ireland, June 27-20, 2016.
- Bay Nord, A., Lindqvist, H., Rådjursöga, M., Winkvist, A., Karlsson, G., Malmodin, D. Experimental design of blending samples to increase precision of NMR urine metabolomics. Inskickat manuscript.
Identifying habitual intake patterns with metabolomics in the cross-sectional VOV study: We demonstrated that NMR serum and urine metabolomics, as well as hair isotope analysis, could differentiate individuals based on habitual dietary patterns such as omnivores, vegetarians, and vegans. We also showed that metabolite patterns could serve as biomarkers for meat consumption and animal product intake.”
- Lindqvist, H., Rådjursöga, M., Torstenson, T., Jansson, L., Ellegård, L., Winkvist, A. Urine metabolite profiles and nutrient intake based on 4-day weighted food diary in habitual vegans, vegetarians and omnivores. J Nutr 2021;151(1):30-39.
- Lindqvist, H., Rådjursöga, M., Malmodin, D., Winkvist, A., Ellegård, L. Serum metabolite profiles of habitual diet: evaluation by 1H nuclear magnetic resonance analysis. Am J Clin Nutr 2019. Jul 1;110(1):53-62.
- Ellegård, L., Alstad, T., Rutting, T., Johansson, P.H., Lindqvist, H.M., Winkvist, A. Distinguishing vegan-, vegetarian-, and omnivorous diets by hair isotopic analysis. Clin Nutr 2019;38(6):2949-51.
- Karlsson, T., Winkvist, A., Rådjursöga, M., Ellegård, L., Pedersen, A., Lindqvist, H.M. Identification of single and combined serum metabolites associated to food intake. Metabolites. 2022;12(110):908.
- Karlsson, T., Winkvist, A., Ellegård, L., Pedersen, A., Lindqvist, H.M. Identification of single and combined urine metabolites associated with food intake. Manuscript.
- Lindqvist, H.M., Rådjursöga, M., Malmodin, D., Winkvist, A., Ellegård, L. Metabolite profiles of habitual diet in serum- a metabolomics approach to evaluate intake of meat or foods of animal origin by NMR-analysis of serum samples.1st Nordic Metabolomics Conference, Örebro, Sweden, August 26-28, 2018.
- Rådjursöga, M., Lindqvist, H., Pedersen, A., Karlsson, G., Malmodin, D., Ellegård, L., Winkvist, A. 1H-NMR serum metabolomics to characterize meal consumption patterns in healthy humans. The 15th Scand Symposium on Chemometrics, June 19-22, 2017, Finland.
Identification of biomarkers of a complex diet in the dietary cross-over trial ADIRA:
ADIRA is a randomized controlled cross-over trial and MIRA was a pilot to ADIRA. Main outcomes of the study are described under profile area Nutrition, inflammation and cardiometabolic health. We also analyzed serum and urine samples with NMR metabolomics. The possibility of separating individuals who ate an anti-inflammatory diet and those who ate a traditional Swedish diet was investigated. Patterns of metabolites differed between these dietary periods, but habitual diet had a large impact on the metabolome. Specific metabolites that reflected the two different diets were identified and used in the study as measures of adherence.
- Lindqvist, H.M., Gjertsson, I., Andersson, S., Calder, P.C., Bärebring, L. Influence of blue mussel (Mytilus edulis) intake on fatty acid composition in erythrocytes and plasma phospholipids and serum metabolites in women with rheumatoid arthritis. Prostaglandins Leukot Essent Fatty Acids 2019 Nov;150:7-15.
- Lindqvist, H.M., Bärebring, L., Gjertsson, I., Jylhä, A., Laaksonen, R., Winkvist, A., Hilvo, M. A randomized controlled dietary intervention improved the serum lipid signature towards a less atherogenic profile in patients with Rheumatoid Arthritis. Metabolites 2021;11:632.
- Wadell, A.T., Bärebring., L., Hulander, E., Gjertsson, I., Landberg, R., Lindqvist, H.M., Winkvist, A. Dietary biomarkers and food records indicate compliance to study diets in the ADIRA (Anti-inflammatory Diet In Rheumatoid Arthritis) trial. Frontiers Nutrition 2023Jun 22;10:1209787.
- Lindqvist, H., Gjertsson, I., Hulander, E., Bärebring, L., Winkvist, A. Exploring the differences in serum metabolite profiles after intake of red meat in women with rheumatoid arthritis and a matched control group. Eur J Nutr 2023 Oct 9.
- Lindqvist, H., Winkvist, A., Gjertsson, I., Calder, P.C., Armando, A.M., Quehenberger, O., Coras, R., Guma, M. Influence of dietary n-3 long chain polyunsaturated fatty acids intake on oxylipins in erythrocytes in women with rheumatic arthritis. Molecules 2023 Jan 11;28(2)717.
Identification of biomarkers of acute postprandial response to single meal in the cross-over trial PIRA: Biomarkers of response to a single meal of red meat, fatty fish or vegan alternative were investigated.
- Lindqvist, H., Gjertsson, I., Hulander, E., Bärebring, L., Winkvist, A. Exploring the differences in serum metabolite profiles after intake of red meat in women with rheumatoid arthritis and a matched control group. Eur J Nutr 2023 Oct 9.
Identification of biomarker patterns in the large population-based cohort NSDD: A random selection of 2000 serum samples from Västerbottensprojektet (VIP) was analyzed with NMR metabolomics. In the entire VIP database of 120,000 individuals, we examined dietary patterns using cluster analysis and PCA analysis. Patterns among metabolomics were then compared to dietary patterns from the subjective dietary data of the 2000 individuals who had both parts.
- Huseinovic, E., Hörnell, A., Johansson, I., Esberg, A., Lindahl, B., Winkvist, A. Changes in food intake patterns during 2000-2007 and 2008-2016 in the population-based Northern Sweden Diet Database. Nutr J 2019 Jul 12;18(1):36.
- Winkvist, A., Johansson, I., Ellegård, L., Lindqvist, H. Towards objective measurement of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort. Nutrition J 2024: Under revision.
Identifying response and predicting responders in the dietary trial KRIBS: In the randomized intervention KRIBS, two dietary treatments were compared among patients with IBS. The possibility of using NMR metabolomics to predict which patients would respond to each treatment was investigated in serum and urine samples taken before and after treatment. Diets that affected carbohydrate intake did not change the metabolic footprint very much. It was therefore not possible to capture response to low-carbohydrate diet with NMR metabolomics. Signals from FODMAPs such as mannitol were identified.
- Nybacka, S, Simrén, M., Störsrud, S., Törnblom, H., Winkvist, A., Lindqvist, H.M Changes in serum and urinary metabolomic profile after a dietary intervention in patients with irritable bowel syndrome. PlosOne 2021;16(10):e0257331.
Identifying response and predicting responders in the dietary trial LEVA: Serum and urine samples from 68 overweight/obese women collected before and after a controlled weight loss intervention in the LEVA study were investigated by NMR metabolomics. Neither urine nor serum metabolites could predict who responded to treatment with weight loss.
- Bachmann, R., Lindqvist, H.M., Brekke, H.M., Bertz, F., Pedersen, A., Winkvist, A. Serum and urine metabolomics was unable to predict responders in a weight loss trial. Manuskript.
Responsible researcher: Anna Winkvist. Collaborator: Helen Lindqvist