Pattern Recognition Analysis of Proton Nuclear Magnetic Resonance Spectra of Extracts of Intestinal Epithelial Cells under Oxidative Stress

Background: Mesenteric ischemia-reperfusion induces gut mucosal damage. Intestinal mucosal wounds are repaired by epithelial restitution. Although many different molecular mechanisms have been shown to affect cell metabolism under oxidative conditions, these molecular mechanisms and metabolic phenotypes are not well understood. Nuclear magnetic resonance (NMR) spectroscopic data can be used to study metabolic phenotypes in biological systems. Pattern recognition with multivariate analysis is one chemometric technique. The purpose of this study was to visualize, using a chemometric technique to interpret NMR data, different degrees of oxidant injury in rat small intestine (IEC-6) cells exposed to H2O2. Methods: Oxidant stress was induced by H2O2 in IEC-6 cells. Cell restitution and viability were assessed at different H2O2 concentrations and time points. Cells were harvested for pattern recognition analysis of H-1-NMR data. Results: Cell viability and restitution were significantly suppressed by H2O2 in a dose-dependent manner compared with control. Each class was clearly separated into clusters by partial least squares discriminant analysis, and class variance was greater than 90% from 2 factors. Conclusion: Pattern recognition of NMR spectral data using a chemometric technique clearly visualized the differences of oxidant injury in IEC-6 cells under oxidant stress.