Abstract
Atherosclerosis is one of the most frequent etiology for myocardial infarction and death. It is also the main cause of angina pectoris, a perceived symptom that results of a mismatch between myocardial supply and demand, caused by the partial obstruction of the arteries. The correct diagnosis of atherosclerosis can led to a reduction of mortality. In this research, the phospholipids profile of serum samples from patients diagnosed with stable angina and non-ST elevation myocardial infarction (NSTEMI) or unstable angina was obtained by selective solid-phase extraction (SPE) and subsequent LC–QTOF MS/MS analysis in high resolution mode. Comparative statistical analysis allowed finding four potential markers to discriminate between stable angina and NSTEMI/unstable angina: lysoPC(20:5), PC(18:1/18:2), PC(18:0/20:4) and SM(d18:2/14:0). The panel generated by multivariate ROC analysis by combination of the four compounds provided a disease prediction capability in the training set of 70.7 and 66.0% for stable angina and NSTEMI patients, respectively. On the other hand, external validation by application to an independent cohort improved the predictive power for angina stable patients (92.3%), while this was slightly decreased up to 50.0% for NSTEMI/unstable angina patients. In this way, LC–QTOF MS/MS has shown to be a useful strategy for phospholipid profiling in serum and development of tools to aid in clinical diagnostic.
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