Metabolic profiling of Parkinson's disease: evidence of biomarker from gene expression analysis and rapid neural network detection.

ABSTRACT:

Background

Parkinson's disease (PD) is a neurodegenerative disorder. The diagnosis of Parkinsonism is challenging because currently none of the clinical tests have been proven to help in diagnosis. PD may produce characteristic perturbations in the metabolome and such variations can be used as the marker for detection of disease. To test this hypothesis, we used proton NMR and multivariate analysis followed by neural network pattern detection.

Methods & results

1H nuclear magnetic resonance spectroscopy analysis was carried out on plasma samples of 37 healthy controls and 43 drug-naive patients with PD. Focus on 22 targeted metabolites, 17 were decreased and 5 were elevated in PD patients (p < 0.05). Partial least squares discriminant analysis (PLS-DA) showed that pyruvate i

SUBMITTER: Ahmed SS 

PROVIDER: S-EPMC2720938 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature