Plasma fingerprinting with GC-MS in acute coronary syndrome

• Published in: Analytical and bioanalytical chemistry Vol. 394; no. 6; pp. 1517 - 1524
• Main Authors: Vallejo, M, García, A, Tuñón, J, García-Martínez, D, Angulo, S, Martin-Ventura, J.L, Blanco-Colio, L. M, Almeida, P, Egido, J, Barbas, C
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Berlin/Heidelberg Berlin/Heidelberg : Springer-Verlag 01.07.2009; Springer-Verlag; Springer
• Subjects: Acute Coronary Syndrome; Acute Coronary Syndrome - blood; Aged; Aged, 80 and over; Analytical Chemistry; atherosclerosis; Biochemistry; biomarkers; Biomarkers - blood; blood; Case-Control Studies; Characterization and Evaluation of Materials; Chemistry; Chemistry and Materials Science; Chromatographic methods and physical methods associated with chromatography; Diagnosis; Exact sciences and technology; Female; Fingerprinting; Food Science; Gas chromatographic methods; gas chromatography-mass spectrometry; Gas Chromatography-Mass Spectrometry - methods; Humans; Laboratory Medicine; Male; Markers; Mass spectra; Mass spectroscopy; Mathematical analysis; Metabolites; metabolomics; methods; Middle Aged; molecular weight; Monitoring/Environmental Analysis; Original Paper; Patients; Pattern recognition; prognosis; Separation techniques; Spectrometric and optical methods; stroke; Metabolomics; Stroke; Metabonomics; Atherosclerosis; Pattern recognition; Acute coronary syndrome; Separation techniques; Gas chromatography; Metabolite; Biological marker; Molecular mass; Mass spectrometry
• ISSN: 1618-2642; 1618-2650; 1618-2650
• DOI: 10.1007/s00216-009-2610-6

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.