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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