| Literature DB >> 18700135 |
Taru Tukiainen1, Tuulia Tynkkynen, Ville-Petteri Mäkinen, Pasi Jylänki, Antti Kangas, Johanna Hokkanen, Aki Vehtari, Olli Gröhn, Merja Hallikainen, Hilkka Soininen, Miia Kivipelto, Per-Henrik Groop, Kimmo Kaski, Reino Laatikainen, Pasi Soininen, Tuula Pirttilä, Mika Ala-Korpela.
Abstract
A three-molecular-window approach for (1)H 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 omega-3 fatty acids appears more indicative of MCI than low serum omega-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.Entities:
Mesh：
Substances：
Year: 2008 PMID： 18700135 DOI： 10.1016/j.bbrc.2008.08.007
Source DB: PubMed Journal: Biochem Biophys Res Commun ISSN： 0006-291X Impact factor: 3.575