Abstract:Objective To investigate the serum metabolic profiles of early atherosclerosis in patients by LCMS- based method to provide the basis for early diagnosis. Methods Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was applied to process the serum samples of 24 healthy volunteers and 27 atherosclerosis patients. Orthogonal to partial squares discriminant analysis was carried out for pattern recognition and characteristic metabolites identification between the two groups. Results There were 6 biomarkers identified after multivariate statistical analysis. The level of betaine was increased and 5 biomarkers such as phosphatidylcholine were decreased in the serum of atherosclerosis patients (P < 0.05). Conclusions Based on the analysis of metabolic pathways, amino acid metabolism, fatty acid metabolism and tricarboxylic acid cycle in atherosclerosis patients are disordered. These 6 different biomarkers can be helpful for the early diagnosing of atherosclerosis.