Discovery of lipid profiles of type 2 diabetes associated with hyperlipidemia using untargeted UPLC Q-TOF/MS-based lipidomics approach

Abstract

The incidence of type 2 diabetes (T2D) is rising rapidly and has become an important public health problem. According to reports, people with T2D often have hyperlipidemia. Hence, in the current study, a plasma non-targeted lipidomics method was used to study the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 43 healthy controls by ultra-performance liquid chromatography coupled with quadrupole time-of-flight high-definition mass spectrometry (UPLC Q-TOF/MS). Furthermore, we studied the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 41 T2D patients. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), S-plot and heatmap were used to analyze the lipid changes between the groups. Compared with the healthy control group, 37 lipids were significantly altered in the T2D-associated hyperlipidemia group, and when compared with the T2D group, 22 lipids were significantly altered in the T2D-associated hyperlipidemia group. Of all the detected lipids categories which included sphingolipids, glycerolipids, glycerophospholipids, prenol lipids and saccharolipids, glycerophospholipids accounted for the largest proportion in the two groups. Also, this study found that glycerophospholipid metabolism pathway was the most relevant pathway for these lipid metabolisms. The identified lipids may enhance the disease prediction and provide a new tool to monitor the progression of T2D-associated hyperlipidemia.