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

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 smallintestine in celiac patients gradually. objectives: the osc, a filtering method for minimization of inter- and intra-spectrometer variationsthat 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.