Abstract #0908

Filtered Serum Metabolomics of Myocardial Ischemia in Unstable Angina Patients

Ashish Gupta¹, Keerti Ameta², Deepak Ameta³, Rishi Sethi³, Deepak Kumar¹, and Abbas A Mahdi²

¹metabolomics, Centre of Biomedical Research, Lucknow, India, ²Biochemistry, King George's Medical University, lucknow, India, ³Cardiology, King George's Medical University, lucknow, India

This study addresses myocardial ischemia in patients presenting with unstable angina using 1H NMR metabolomics of filtered serum. The study includes serum samples from 65 unstable angina patients (UA) and 62 healthy controls (HC). Principal component analysis and orthogonal partial least square discriminant analysis were applied to generate a prediction model. Results revealed that five biomarkers—valine, alanine, glutamine, inosine and adenine—could differentiate 95% of UA from HC with utmost sensitivity and specificity. 1H NMR-based filtered serum metabolic profiling appears to be an assuring, least invasive and faster way to screen and identify myocardial ischemia in UA patients.

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