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A multi-metabolite analysis of serum by 1H NMR spectroscopy: Early systemic signs of Alzheimer’s disease
- Source :
- Biochemical and Biophysical Research Communications. 375:356-361
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
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.
- Subjects :
- Serum
medicine.medical_specialty
Lipoproteins
Biophysics
Inflammation
Disease
Biochemistry
Metabolomics
Alzheimer Disease
Internal medicine
medicine
Humans
Cognitive decline
Nuclear Magnetic Resonance, Biomolecular
Molecular Biology
Glycoproteins
Metabolic Syndrome
chemistry.chemical_classification
Memory Disorders
Chemistry
Cell Biology
Nuclear magnetic resonance spectroscopy
Metabolite analysis
medicine.disease
Early Diagnosis
Endocrinology
medicine.symptom
Metabolic syndrome
Polyunsaturated fatty acid
Subjects
Details
- ISSN :
- 0006291X
- Volume :
- 375
- Database :
- OpenAIRE
- Journal :
- Biochemical and Biophysical Research Communications
- Accession number :
- edsair.doi.dedup.....494f33f55416dda9f58bd5c0ef05c53a