A multi-metabolite analysis of serum by 1H NMR spectroscopy: Early systemic signs of Alzheimer's disease

Taru Tukiainen, 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

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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 relative amount 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.

Original languageEnglish
Pages (from-to)356-361
Number of pages6
JournalBiochemical and Biophysical Research Communications
Volume375
Issue number3
DOIs
Publication statusPublished or Issued - 24 Oct 2008
Externally publishedYes

Keywords

  • Alzheimer's disease
  • Lipid extracts
  • Lipoproteins
  • Metabolomics
  • Metabonomics
  • Mild cognitive impairment
  • NMR spectroscopy
  • Self-organising map
  • Serum

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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