1
|
Gürdeniz G, Uusitupa M, Hermansen K, Savolainen MJ, Schwab U, Kolehmainen M, Brader L, Cloetens L, Herzig KH, Hukkanen J, Rosqvist F, Ulven SM, Gunnarsdóttir I, Thorsdottir I, Oresic M, Poutanen KS, Risérus U, Åkesson B, Dragsted LO. Analysis of the SYSDIET Healthy Nordic Diet randomized trial based on metabolic profiling reveal beneficial effects on glucose metabolism and blood lipids. Clin Nutr 2022; 41:441-451. [PMID: 35007813 DOI: 10.1016/j.clnu.2021.12.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 12/05/2021] [Accepted: 12/20/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS Intake assessment in multicenter trials is challenging, yet important for accurate outcome evaluation. The present study aimed to characterize a multicenter randomized controlled trial with a healthy Nordic diet (HND) compared to a Control diet (CD) by plasma and urine metabolic profiles and to associate them with cardiometabolic markers. METHODS During 18-24 weeks of intervention, 200 participants with metabolic syndrome were advised at six centres to eat either HND (e.g. whole-grain products, berries, rapeseed oil, fish and low-fat dairy) or CD while being weight stable. Of these 166/159 completers delivered blood/urine samples. Metabolic profiles of fasting plasma and 24 h pooled urine were analysed to identify characteristic diet-related patterns. Principal components analysis (PCA) scores (i.e. PC1 and PC2 scores) were used to test their combined effect on blood glucose response (primary endpoint), serum lipoproteins, triglycerides, and inflammatory markers. RESULTS The profiles distinguished HND and CD with AUC of 0.96 ± 0.03 and 0.93 ± 0.02 for plasma and urine, respectively, with limited heterogeneity between centers, reflecting markers of key foods. Markers of fish, whole grain and polyunsaturated lipids characterized HND, while CD was reflected by lipids containing palmitoleic acid. The PC1 scores of plasma metabolites characterizing the intervention is associated with HDL (β = 0.05; 95% CI: 0.02, 0.08; P = 0.001) and triglycerides (β = -0.06; 95% CI: -0.09, -0.03; P < 0.001). PC2 scores were related with glucose metabolism (2 h Glucose, β = 0.1; 95% CI: 0.05, 0.15; P < 0.001), LDL (β = 0.06; 95% CI: 0.01, 0.1; P = 0.02) and triglycerides (β = 0.11; 95% CI: 0.06, 0.15; P < 0.001). For urine, the scores were related with LDL cholesterol. CONCLUSIONS Plasma and urine metabolite profiles from SYSDIET reflected good compliance with dietary recommendations across the region. The scores of metabolites characterizing the diets associated with outcomes related with cardio-metabolic risk. Our analysis therefore offers a novel way to approach a per protocol analysis with a balanced compliance assessment in larger multicentre dietary trials. The study was registered at clinicaltrials.gov with NCT00992641.
Collapse
Affiliation(s)
- Gözde Gürdeniz
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark; Department of Food Science, University of Copenhagen, Frederiksberg, Denmark.
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Kjeld Hermansen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Markku J Savolainen
- Institute of Clinical Medicine, Department of Internal Medicine, University of Oulu, Oulu, Finland
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Lea Brader
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Lieselotte Cloetens
- Biomedical Nutrition, Pure and Applied Biochemistry, Lund University, Lund, Sweden
| | - Karl-Heinz Herzig
- Institute of Biomedicine and Biocenter of Oulu, University of Oulu, Finland; Department of Psychiatry, Kuopio University Hospital, Kuopio, Finland
| | - Janne Hukkanen
- Institute of Clinical Medicine, Department of Internal Medicine, University of Oulu, Oulu, Finland
| | - Fredrik Rosqvist
- Department of Public Health and Caring Sciences, Uppsala University, Sweden
| | - Stine Marie Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Ingibjörg Gunnarsdóttir
- Unit for Nutrition Research, Faculty of Food Science and Nutrition, University of Iceland, Reykjavík, Iceland; Unit for Nutrition Research, Landspitali National University Hospital, Reykjavik, Iceland
| | - Inga Thorsdottir
- Unit for Nutrition Research, Faculty of Food Science and Nutrition, University of Iceland, Reykjavík, Iceland; Unit for Nutrition Research, Landspitali National University Hospital, Reykjavik, Iceland
| | - Matej Oresic
- Turku Center for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland; VTT Technical Research Centre of Finland, Espoo, Finland
| | - Kaisa S Poutanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; VTT Technical Research Centre of Finland, Espoo, Finland
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Uppsala University, Sweden
| | - Björn Åkesson
- Biomedical Nutrition, Pure and Applied Biochemistry, Lund University, Lund, Sweden; Department of Clinical Nutrition, Skåne University Hospital, Lund, Sweden
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| |
Collapse
|