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Relationship between serum level of selenium and metabolites using 1hnmr-based metabonomics in parkinson's disease

Fathi, F ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1007/s00723-013-0439-9
  3. Publisher: 2013
  4. Abstract:
  5. Parkinson's disease (PD) is a neurodegenerative disease, which is not easily diagnosed using clinical tests and the discovery of proper methods would be a major step towards a successful diagnosis. In the present study, we employed metabolic profiling using proton nuclear magnetic resonance spectroscopy to find metabolites in serum, which are helpful for the diagnosis of PD. Classification of PD and healthy subject was done using random forest. Serum levels of selenium measured by atomic absorption spectrometry in PD group were lower than the serum selenium levels in the control group. The metabolites causing selenium changes in PD patients were identified using random forest, and a model was created for correlation between these metabolites and serum levels of selenium. The obtained classification model showed 88 % correct classification of PD and healthy samples for an external test set. The regression model of selenium and metabolites levels resulted in correlation value (R 2) of 0.90 for the external test set. The findings of the present study indicate that serum metabonomics have great potential in PD detection and could be beneficial as a diagnostic method. As a novel approach, a model with good prediction capability was constructed between serum levels of selenium and nuclear magnetic resonance data
  6. Keywords:
  7. Classification models ; Correlation value ; Diagnostic methods ; Metabolic profiling ; Nuclear magnetic resonance data ; Parkinson's disease ; Prediction capability ; Proton nuclear magnetic resonance spectroscopy ; Atomic absorption spectrometry ; Biomolecules ; Body fluids ; Decision trees ; Metabolites ; Neurodegenerative diseases ; Nuclear magnetic resonance spectroscopy ; Regression analysis ; Selenium
  8. Source: Applied Magnetic Resonance ; Volume 44, Issue 6 , January , 2013 , Pages 721-734 ; 09379347 (ISSN)
  9. URL: http://link.springer.com/article/10.1007%2Fs00723-013-0439-9