A metabonomics study on crohn's disease using nuclear magnetic resonance spectroscopy

Fathi, F ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. Publisher: 2012
  3. Abstract:
  4. Objective: Crohn's disease (CD) is one the important illnesses can affect any part of the gastrointestinal tract. CD is not easily diagnosed using the clinical tests. Thus, the discovery of proper methods would be a major step towards CD diagnosis. The aim of this study was to seek the metabolic biomarkers causes of CD compare to control group. Materials and Methods: In present study, we employed metabolic profiling using proton nuclear magnetic resonance spectroscopy (1HNMR) to find metabolites in serum which are helpful for the diagnosis of CD. Classification of CD and healthy subject was done using classification and regression trees (CART). The metabolites that caused changes in people with CD were identified using CART. Results: According to CART diagram, we concluded that just using one descriptor CD and control groups could be classified separately. The obtained classification model showed a 89% correct classification of CD and healthy subject for the external test set. Conclusions: The findings of the present study reveal new differentiating metabolites for CD. This metabolite may provide diagnostic biomarkers and/or monitoring tools as well as insight into potential targets for prevention and disease therapy
  5. Keywords:
  6. Classification and regression tree ; Nuclear magnetic resonance spectroscopy ; 3 hydroxybutyric acid ; Acetic acid ; Acetoacetic acid ; Alanine ; Alpha tocopherol ; Arginine ; Biological marker ; itric acid ; Creatine ; Creatinine ; Diacylglycerol ; Glucose ; Glutamine ; Isoleucine ; Lactic acid ; Leucine ; Lipid ; Monoacylglycerol ; Phospholipid ; Pyruvic acid ; Valine ; Vitamin ; Zinc ; Adult ; Cholesterol blood level ; Clinical article ; Controlled study ; Crohn disease ; Data processing ; Diagnostic test accuracy study ; Female ; Human ; Male ; Metabolite ; Metabolomics ; Model ; Prediction ; Proton nuclear magnetic resonance ; Recognition ; sensitivity and specificity
  7. Source: HealthMED ; Volume 6, Issue 11 , July , 2012 , Pages 3577-3583 ; 18402291 (ISSN)
  8. URL: http://connection.ebscohost.com/c/articles/84688231/metabonomics-study-crohns-disease-using-nuclear-magnetic-resonance-spectroscopy