SYSDIMET: Systems biology approach to understand dietary modulation of gene expression and metabolic pathways in subjects with abnormal glucose metabolism
(coordinator: Prof. Matti Uusitupa, Department of Clinical Nutrition, University of Kuopio)
The main goal of this project is to find nutrition related early biomarkers for progression of Metabolic Syndrome (MS) to Type 2 Diabetes (T2DM) by using modern technologies of systems biology (transcriptomics, metabolomics) of carefully conducted dietary interventions involving subjects with MS. The data will be analysed by using bioinformatics. We reflect these new data to well-known risk factors for T2DM and CVD, e.g. insulin sensitivity, insulin secretion, serum lipids and inflammatory factors among others. In addition to interventions conducted earlier, a new intervention with a whole grain-berry-fish diet and a control diet with refined foods will be performed. The aim is to increase our understanding on the synergistic effects of these foods, because our previous interventions have shown that these individual foods have beneficial effects on glucose and lipid metabolism. On the contrary, diets with refined foods may be harmful in long-term due to its high insulin response, which may through chronic stress lead to both insulin resistance and beta-cell damage.
Related projects: HEPADIP
Latest news and relevant publications
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U. Schwab, T. Seppänen-Laakso, L. Yetukuri, J. Ågren, M. Kolehmainen, D. E. Laaksonen, A.-L. Ruskeepää, H. Gylling, M. Uusitupa, M. Orešič, Triacylglycerol fatty acid composition in diet-induced weight loss in subjects with abnormal glucose metabolism – the GENOBIN Study, PLoS ONE 3(7), e2630 (2008).
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M. Orešič, A. Vidal-Puig, and V. Hänninen, Metabolomic approaches to phenotype characterization and applications to complex diseases, Expert Rev. Mol. Diagn. 6, 575-585 (2006).