Abstract
New biomarkers of cardiovascular disease are needed to augment the information obtained from traditional indicators and to illuminate disease mechanisms. One of the approaches used in metabolomics/metabonomics for that purpose is metabolic fingerprinting aiming to profile large numbers of chemically diverse metabolites in an essentially nonselective way. In this study, gas chromatography-mass spectrometry was employed to evaluate the major metabolic changes in low molecular weight plasma metabolites of patients with acute coronary syndrome (n = 9) and with stable atherosclerosis (n = 10) vs healthy subjects without significant differences in age and sex (n = 10). Reproducible differences between cases and controls were obtained with pattern recognition techniques, and metabolites accounting for higher weight in the classification have been identified through their mass spectra. On this basis, it seems inherently plausible that even a simple metabolite profile might be able to offer improved clinical diagnosis and prognosis, but in addition, specific markers are being identified.
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This work has been supported by the Comunidad Autónoma de Madrid (S2006/GEN-0247), Spanish Ministery of Sciences and Technology CTQ2008-03779, Fundación Ramón Areces, FIS (PI050451), and Sociedad Española de Arteriosclerosis.
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Vallejo, M., García, A., Tuñón, J. et al. Plasma fingerprinting with GC-MS in acute coronary syndrome. Anal Bioanal Chem 394, 1517–1524 (2009). https://doi.org/10.1007/s00216-009-2610-6
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DOI: https://doi.org/10.1007/s00216-009-2610-6