Advantage of Applying OSC to 1H NMR-Based Metabonomic Data of Celiac Disease


Mostafa Rezaei-Tavirani 1 , Fariba Fathi 2 , Fatemeh Darvizeh 3 , Mohamad Reza Reza Zali 4 , Mohamad Rostami Rostami Nejad 5 , Kamran Rostami 6 , Mohsen Tafazzoli 2 , * , Afsaneh Arefi Arefi oskouie 6 , * , Seyed AbdolReza AbdolReza Mortazavi-Tabatabaei 6

1 Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, IR Iran

2 Department of Chemistry, Sharif University of Technology, [email protected], IR Iran

3 Department of Medicine, Debrecen Medical School, Hungary

4 Research Center for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, IR Iran

5 Acute Medicine, Dudley Group of Hospital, UK

6 Department of Basic Science Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, [email protected], IR Iran

Corresponding Authors:

How to Cite: Rezaei-Tavirani M, Fathi F, Darvizeh F, Zali M R, Rostami Nejad M, et al. Advantage of Applying OSC to 1H NMR-Based Metabonomic Data of Celiac Disease, Int J Endocrinol Metab. Online ahead of Print ; 10(3):548-552. doi: 10.5812/ijem.3058.


International Journal of Endocrinology and Metabolism: 10 (3); 548-552
Published Online: June 30, 2012
Article Type: Original Article
Received: November 2, 2011
Accepted: April 17, 2012




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-spectrometer 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. Employing 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 calibration (RMSEc) and correlation coefficient of calibration (Rc) for PLS-DA referred to an efficient 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 introduced as CD biomarkers.


Magnetic Resonance Spectroscopy Principle Component Analysis Discriminant Analysis Celiac Disease

© 2012, International Journal of Endocrinology and Metabolism. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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