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Advantage of applying OSC to 1H NMR-based metabonomic data of celiac disease

Rezaei Tavirani, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.5812/ijem.3058
  3. Publisher: 2012
  4. Abstract:
  5. Background: Celiac disease (CD) is a disorder associated with body reaction to gluten. After the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually. Objectives: The OSC, a filtering method for minimization of inter- and intra-spectrom-eter variations that influence on data acquisition, was applied to biofluid NMR data of CD patients. Patients and Methods: In this study, metabolites of total 56 serum samples from 12 CD patients, 15 CD patients taking gluten-free diet (GFD), and 29 healthy cases were analyzed using nuclear magnetic resonance (NMR) and associated theoretical analysis. Employ-ing ProMetab (version ProMetab_v3_3) software, data obtained from NMR spectra were reduced and orthogonal signal correction (OSC) effect on celiac disease metabonomics before and after the separation by principle component analysis (PCA) was investigated. Results: The three groups were separated by OSC and findings were analyzed by partial least squares discriminant analysis (PLS-DA) method. Root mean square error of calibra-tion (RMSEc) and correlation coefficient of calibration (Rc) for PLS-DA referred to an ef-ficient group separation filtered by OSC. Conclusions: The applied leave-one-out cross-validation to PLS-DA method performed along with OSC confirmed validation of data analysis. Finally four metabolites are intro-duced as CD biomarkers
  6. Keywords:
  7. Discriminant analysis ; Magnetic resonance spectroscopy ; Analytical error ; Blood sampling ; Calibration ; Clinical article ; Controlled study ; Correlation coefficient ; Data analysis software ; Human ; Mathematical model ; Mathematical parameters ; Metabolomics ; Orthogonal signal correction ; Partial least squares regression ; Principal component analysis ; Proton nuclear magnetic resonance ; Validation process ; Celiac disease ; Data analysis ; Data processing ; Gluten free diet ; Choline ; Lactic acid ; Lipid
  8. Source: International Journal of Endocrinology and Metabolism ; Volume 10, Issue 3 , 2012 , Pages 548-552 ; 1726913X (ISSN)
  9. URL: http://endometabol.com/?page=article&article_id=3058