Metabolomics study on biomarkers of hand,foot and mouth disease

Abstract

Objective To investigate potential biomarkers for different types of hand, foot and mouth disease(HFMD). Methods Nuclear magnetic resonance(NMR)-based metabolomics methods were used to analyze the metabolic differences in serum of HFMD and healthy controls.Partial least squares discriminant analysis(PLS-DA)and orthogonal partial least square discriminant analysis(OPLS-DA)were used for analysis of metabolite profiles.Differential statistical analysis was performed by t tests using GraphPad Prism 5 software. Results The levels of lipid, leucine, valine, β-hydroxybutyric acid, acetone, glucose, glycoprotein, glycerol, glycine, choline, trimethylamine oxide and lactate in HFMD increased significantly compared with healthy controls, whereas the levels of acetic acid and creatine decreased significantly.Additionally, the level of acetone further increased in the severe type of HFMD compared with the mild type, whereas the levels of lipid and trimethylamine oxide decreased. Conclusion These statistically significant differences are involved in lipid metabolism, glucose metabolism and protein metabolism in different types of HFMD.Lipid, acetone and trimethylamine oxide can be used as potential biomarkers of HFMD. Key words: Hand, foot and mouth disease; Nuclear magnetic resonance; Biomarker; Metabolomics