NMR metabonomics of cerebrospinal fluid distinguishes between Parkinson’s disease and controls

•NMR metabonomics identifies 60 and quantifies 38 metabolites in CSF.•Patients with Parkinson’s disease (PD) are distinguished from control subjects.•Uni- and multivariate statistics identify nine significantly changed metabolites.•Subsets of these nine metabolites also separate the PD and control g...

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Bibliographic Details
Published in:Neuroscience letters 2015-05, Vol.594, p.36-39
Main Authors: Öhman, Anders, Forsgren, Lars
Format: Article
Language:English
Subjects:
Adult
Aged
Biomarker
Biomarkers - cerebrospinal fluid
Case-Control Studies
Cerebrospinal fluid
Female
Humans
Magnetic Resonance Spectroscopy
Male
Metabolome
Metabonomics
Middle Aged
NMR
Parkinson Disease - cerebrospinal fluid
Parkinson Disease - diagnosis
Parkinson's disease
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Summary:•NMR metabonomics identifies 60 and quantifies 38 metabolites in CSF.•Patients with Parkinson’s disease (PD) are distinguished from control subjects.•Uni- and multivariate statistics identify nine significantly changed metabolites.•Subsets of these nine metabolites also separate the PD and control groups.•NMR metabonomics may provide a supporting tool useful for diagnosis of PD. This study assesses if nuclear magnetic resonance (NMR) metabonomics can discriminate between Parkinson’s disease (PD) patients and control subjects, and consequently identify metabolic markers for the disease. One-dimensional 1H NMR spectroscopy was used for quantitative analysis of metabolites in the cerebrospinal fluid (CSF) from 10 PD patients and 10 control individuals, together with uni- and multivariate statistical analysis to discriminate between the groups and to identify significantly altered metabolite concentrations. In total 60 metabolites were identified and of those 38 were quantified in all CSF samples. An overall lowering of metabolite content was observed in PD patients compared to control subjects (fold change of 0.85±0.30). Multivariate statistics reveal significant changes (ǀw*ǀ>0.2) among nine metabolites (alanine, creatinine, dimethylamine, glucose, lactate, mannose, phenylalanine, 3-hydroxyisobutyric acid and 3-hydroxyisovaleric acid). Three of these (alanine, creatinine and mannose) are identified as significantly changed also by univariate statistics (p
ISSN:0304-3940
1872-7972
1872-7972
DOI:10.1016/j.neulet.2015.03.051