A multi-metabolite analysis of serum by 1H NMR spectroscopy: early systemic signs of Alzheimer's disease |
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Authors: | Tukiainen Taru Tynkkynen Tuulia Mäkinen Ville-Petteri Jylänki Pasi Kangas Antti Hokkanen Johanna Vehtari Aki Gröhn Olli Hallikainen Merja Soininen Hilkka Kivipelto Miia Groop Per-Henrik Kaski Kimmo Laatikainen Reino Soininen Pasi Pirttilä Tuula Ala-Korpela Mika |
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Institution: | a Computational Medicine Research Group, Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, P.O. Box 9203, FI-02015 HUT, Finland b Laboratory of Chemistry, Department of Biosciences, University of Kuopio, Finland c Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland d Division of Nephrology, Department of Medicine, Helsinki University Central Hospital, Finland e A.I. Virtanen Institute, University of Kuopio, Finland f Brain Research Unit, University of Kuopio, Finland g Department of Clinical Science, Neurology Unit, University of Kuopio and Kuopio University Hospital, Finland |
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Abstract: | A three-molecular-window approach for 1H NMR spectroscopy of serum is presented to obtain specific molecular data on lipoproteins, various low-molecular-weight metabolites, and individual lipid molecules together with their degree of (poly)(un)saturation. The multiple data were analysed with self-organising maps, illustrating the strength of the approach as a holistic metabonomics framework in solely data-driven metabolic phenotyping. We studied 180 serum samples of which 30% were related to mild cognitive impairment (MCI), a neuropsychological diagnosis with severely increased risk for Alzheimer’s disease (AD). The results underline the association between MCI and the metabolic syndrome (MetS). Additionally, the low relativeamount of ω-3 fatty acids appears more indicative of MCI than low serum ω-3 or polyunsaturated fatty acid concentration as such. The analyses also feature the role of elevated glycoproteins in the risk for AD, supporting the view that coexistence of inflammation and the MetS forms a high risk condition for cognitive decline. |
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Keywords: | Alzheimer&rsquo s disease Lipid extracts Lipoproteins Metabolomics Metabonomics Mild cognitive impairment NMR spectroscopy Self-organising map Serum |
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