关键词: 液质联用, 脂质组学, 心肌缺血, 生物标志物, 异丙肾上腺素

Abstract: Objective　To investigate the mechanisms of lipid metabolic disorders and identify differential lipid metabolites in a rat model of isoproterenol (ISO)-induced myocardial ischemia (MI).Methods　A rat model of MI was established by intraperitoneal injection of a high dose of isoproterenol for two consecutive days. Cardiac function was assessed using echocardiography. The serum markers of myocardial injury were measured. Lipid metabolites in rat myocardial tissue were profiled using liquid chromatography-mass spectrometry (LC-MS). Multivariate statistical analyses, including Principal Component Analysis (PCA) and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA), were employed to screen for differential lipids.Results　Compared with the control group, the model group exhibited a significant decrease in stroke volume (SV) and cardiac output (CO) (P<0.01), along with a significant increase in left ventricular anterior wall systolic thickness (LVAWs), left ventricular anterior wall diastolic thickness (LVAWd), left ventricular posterior wall systolic thickness (LVPWs), and left ventricular posterior wall diastolic thickness (LVPWd) (P<0.01). Serum levels of LDH, CK-MB, and cTnT were significantly elevated (P<0.01). Lipidomics analysis revealed distinct myocardial lipid metabolic profiles between the two groups, leading to the identification of 92 differential lipid metabolites. Compared to the control group, the model group showed significantly decreased levels of long-chain acylcarnitines and phosphatidylcholines, while the contents of oxidized phosphatidylcholines, triglycerides, oxidized triglycerides, and ceramides were significantly increased. Conclusion　Lipidomics technology effectively characterized myocardial energy metabolism dysfunction and lipid peroxidation in the ISO-induced myocardial ischemia model, providing insights into its underlying pathological mechanisms.

Key words: liquid chromatography-mass spectrometry (LC-MS), lipidomics, myocardial ischemia, biomarkers, isoproterenol