Abstract
A rat model with isoproterenol (ISO)-induced myocardial ischemia was obtained. Liquid chromatography-mass spectrometry (LC-MS)was conducted on the serum and heart tissue metabolites of normal and model rats. Principal component analysis (PCA) and differentiation analysis of supervised partial least-squares method (PLS-DA) were applied to the metabolomics data for multidimensional statistical analysis, and the resulting biomarkers were screened. Compared with the normal group, 18 different endogenous metabolites in plasma and tissues were detected, including the products of arginine and proline metabolism; glycine, serine, and threonine metabolism; glutamine and glutamate metabolism; and taurine and hypotaurine metabolism. These metabolites can be used as important biomarkers for myocardial ischemia. The results of this study can help reveal the pathogenesis of myocardial ischemia and aid clinical diagnosis.
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