A rapid and reliable ultra-performance liquid chromatography coupled with electrospray ionization/quadrupole-time-of-flight mass spectrometry (U-HPLC/Q-TOF-MS) has been firstly used to analyze the changes of plasma phospholipids, in type 2 diabetes mellitus (T2DM) mice after administration of berberine and pomegranate seed oil (PSO). The separation of plasma phospholipids was carried out on an Acquity U-HPLC BEH C18 column (2.1 mm × 50 mm, 1.7 μm, Waters) by linear gradient elution using a mobile phase consisting of 10 mM ammonium formate in water and acetonitrile: isopropanol (1:1, v/v) mixed solution added by 0.25% water and 10 mM ammonium formate. The method demonstrated a good precision and reproducibility. Linear regression analysis showed a good linearity. And potential biomarkers were discovered based on their mass spectra and chemometrics methods. The results demonstrated that the proposed U-HPLC/Q-TOF-MS method was successfully applied to analyze the dynamic changes of phospholipids components in plasma of T2DM mice after drug treatment and could provide a useful data base for meriting further study in humans and investigating pharmacological actions of drugs.
Non-destructive proton nuclear magnetic resonance ( 1 H NMR) spectroscopy and highly sensitive ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (U-HPLC/Q-TOF-MS) coupled to data processing methods were applied to analyze the metabolic profiling changes of glycerophospholipids (GPLs) in RAW264.7 cells from inflammation to prognosis. Analysis of 1 H NMR was shown that the models were grouped successfully, illustrating that all of them had significant differences. Based on the highly simple, accurate, non-targeted and non-destructively advantages of 1 H NMR, it could be used as a new screening tool of anti-inflammatory drugs in the metabolic profiling of GPLs. 58 GPLs were identified by U-HPLC/Q-TOF-MS, and 19 components were firstly identified in this study compared with our previous results. In addition, ten potential biomarkers were proved, of which phosphatidylcholine (PC) (16:0/18:1) and (18:0/18:1) changed consistently in three drug-induced groups and might be the important biomarkers. Compared with 1 H NMR, U-HPLC/Q-TOF-MS showed higher sensitivity and specificity and was more suitable for the determination of biomarkers apart from the deficiency of time-consuming sample preparation steps and unambiguous metabolite identification. Therefore, it is feasible to analyze the changes of GPLs during inflammation by combining 1 H NMR spectroscopy with U-HPLC/Q-TOF-MS. The metabolic profiling of GPLs provides valuable evidence for inflammation diagnosis and prognosis, and might unravel the mechanisms involved in inflammation progression.
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