Plasma metabolomics reveals a potential panel of biomarkers for early diagnosis in acute coronary syndrome

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• 作者：Carlos M. Laborde (1)
  Laura Mourino-Alvarez (1)
  María Posada-Ayala (2)
  Gloria Alvarez-Llamas (2)
  Manuel Gómez Serranillos-Reus (3)
  José Moreu (4)
  Fernando Vivanco (2) (5)
  Luis R. Padial (6)
  María G. Barderas (1) (7)
  
• 关键词：Metabolomics ; Metabolite ; Biomarker ; Acute coronary syndrome
• 刊名：Metabolomics
• 出版年：2014
• 出版时间：June 2014
• 年：2014
• 卷：10
• 期：3
• 页码：414-424
• 全文大小：966 KB
• 参考文献：1. Arora, S., & Menchine, M. (2012). The role of point-of-care β-hydroxybutyrate testing in the diagnosis of diabetic ketoacidosis: A review. / Hospital Practice (1995), / 40(2), 73-8. CrossRef
  2. Baldus, S., Heeschen, C., Meinertz, T., Zeiher, A. M., Eiserich, J. P., Munzel, T., et al. (2003). Myeloperoxidase serum levels predict risk in patients with acute coronary syndromes. / Circulation, / 108, 1440-445. CrossRef
  3. Bassand, J. P., Hamm, C. W., Ardissino, D., Boersma, E., Budaj, A., et al. (2007). Guidelines for the diagnosis and treatment of non-ST-segment elevation acute coronary syndromes. / European Heart Journal, / 28, 1598-660. CrossRef
  4. Boernsen, K. O., Gatzek, S., & Imbert, G. (2005). Controlled protein precipitation in combination with chip-based nanospray infusion mass spectrometry. An approach for metabolomics profiling of plasma. / Analytical Chemistry, / 77(22), 7255-264. CrossRef
  5. Brennan, M. L., Penn, M. S., Van Lente, F., Nambi, V., Shishehbor, M. H., Aviles, R. J., et al. (2003). Prognostic value of myeloperoxidase in patients with chest pain. / New England Journal of Medicine, / 349, 1595-604. CrossRef
  6. Chen, J., Zhao, X., Fritsche, J., Yin, P., Schmitt-Kopplin, P., Wang, W., et al. (2008). Practical approach for the identification and isomer elucidation of biomarkers detected in a metabonomic study for the discovery of individuals at risk for diabetes by integrating the chromatographic and mass spectrometric information. / Analytical Chemistry, / 80(4), 1280-289. CrossRef
  7. Chew, D., Allan, R., Aroney, C., & Sheerin, N. (2005). National data elements for the clinical management of acute coronary syndromes. / Medical Journal of Australia, / 182(9 Suppl), S1–S16.
  8. Fiehn, O., Kopka, J., D?rmann, P., Altmann, T., Trethewey, R. N., & Willmitzer, L. (2000). Metabolite profiling for plant functional genomics. / Nature Biotechnology, / 18(11), 1157-161. CrossRef
  9. García-Pinilla, J. M., Gálvez, J., Cabrera-Bueno, F., Jiménez-Navarro, M., Gómez-Doblas, J. J., Galisteo, M., et al. (2008). Baseline glutathione peroxidase activity affects prognosis after acute coronary síndromes. / Texas Heart Institute Journal, / 35(3), 262-67.
  10. Hackam, D. G., & Anand, S. S. (2003). Emerging risk factors for atherosclerotic vascular disease: A critical review of the evidence. / Journal of the American Medical Association, / 290(7), 932-40. CrossRef
  11. Han, L. D., Xia, J. F., Liang, Q. L., Wang, Y., Wang, Y. M., Hu, P., et al. (2011). Plasma esterified and non-esterified fatty acids metabolic profiling using gas chromatography-mass spectrometry and its application in the study of diabetic mellitus and diabetic nephropathy. / Analytica Chimica Acta, / 689(1), 85-1. CrossRef
  12. Hansson, G. K. (2005). Inflammation, atherosclerosis, and coronary artery disease. / New England Journal of Medicine, / 352, 1685-695. CrossRef
  13. Heeschen, C., Dimmeler, S., Hamm, C. W., van den Brand, M. J., Boersma, E., Zeiher, A. M., et al. (2003). Soluble CD40 ligand in acute coronary syndromes. / New England Journal of Medicine, / 348, 1104-111. CrossRef
  14. Heeschen, C., Hamm, C. W., Bruemmer, J., & Simoons, M. L. (2000). Predictive value of C-reactive protein and troponin T in patients with unstable angina: A comparative analysis. CAPTURE Investigators. Chimeric c7E3 AntiPlatelet Therapy in Unstable angina Refractory to standard treatment trial. / Journal of the American College of Cardiology, / 35, 1535-542. CrossRef
  15. James, S. K., Lindahl, B., Siegbahn, A., Stridsberg, M., Venge, P., Armstrong, P., et al. (2003). N-terminal pro-brain natriuretic peptide and other risk markers for the separate prediction of mortality and subsequent myocardial infarction in patients with unstable coronary artery disease: A Global Utilization of Strategies to open occluded arteries (GUSTO)-IV substudy. / Circulation, / 108, 275-81. CrossRef
  16. Jiye, A., Gullberg, J., Johansson, A. I., Jonsson, P., Antti, H., Marklund, S. L., et al. (2005). Extraction and GC/MS analysis of the human blood plasma metabolome. / Analytical Chemistry, / 77, 8086-094. CrossRef
  17. Kemsley, E. K., Le Gall, G., Dainty, J. R., Watson, A. D., Harvey, L. J., et al. (2007). Multivariate techniques and their application in nutrition: A metabolomics case study. / British Journal of Nutrition, / 98(1), 1-4. CrossRef
  18. Kind, T., Tolstikov, V., Fiehn, O., & Weiss, R. H. (2007). A comprehensive urinary metabolomic approach for identifying kidney cancer. / Analytical Biochemistry, / 363(2), 185-95. CrossRef
  19. Lepage, G., & Roy, C. C. (1986). Direct transesterification of all classes of lipids in a one-step reaction. / Journal of Lipid Research, / 27, 114-20.
  20. Lewis, G. D., Wei, R., Liu, E., et al. (2008). Metabolite profiling of blood from individuals undergoing planned myocardial infarction reveals early markers of myocardial injury. / Journal of Clinical Investigation, / 118(10), 3503-512. CrossRef
  21. Libby, P., Ridker, P. M., & Maseri, A. (2002). Inflammation and atherosclerosis. / Circulation, / 105(9), 1135-143. CrossRef
  22. Mayr, M., Yusuf, S., Weir, G., et al. (2008). Combined metabolomic and proteomic analysis of human atrial fibrillation. / Journal of the American College of Cardiology, / 51(5), 585-94. CrossRef
  23. Meyer, M. R., Weber, A. A., & Maurer, H. H. (2011). A validated GC-MS procedure for fast, simple, and cost-effective quantification of glycols and GHB in human plasma and their identification in urine and plasma developed for emergency toxicology. / Analytical and Bioanalytical Chemistry, / 400(2), 411-14. CrossRef
  24. Oliver, S. G., Winson, M. K., Kell, D. B., & Baganz, F. (1998). Systematic functional analysis of the yeast genome. / Trends in Biotechnology, / 16(9), 373-78. CrossRef
  25. Ooi, E. M., Chan, D. T., Watts, G. F., Chan, D. C., Ng, T. W., Dogra, G. K., et al. (2011). Plasma apolipoprotein C-III metabolism in patients with chronic kidney disease. / Journal of Lipid Research, / 52(4), 794-00. CrossRef
  26. Paige, L. A., Mitchell, M. W., Krishnan, K. R., Kaddurah-Daouk, R., & Steffens, D. C. (2007). A preliminary metabolomic analysis of older adults with and without depression. / International Journal of Geriatric Psychiatry, / 22(5), 418-23. CrossRef
  27. Pasikanti, K. K., Ho, P. C., & Chan, E. C. (2008). Gas chromatography/mass spectrometry in metabolic profiling of biological fluids. / Journal of Chromatography B, / 871(2), 202-11. CrossRef
  28. Roger, V. L., et al. (2011). Heart disease and stroke statistics-2011 update: A report from the American Heart Association. / Circulation, / 123(4), e18–e209. CrossRef
  29. Salek, R. M., Maguire, M. L., Bentley, E., Rubtsov, D. V., Hough, T., Cheeseman, M., et al. (2007). A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human. / Physiological Genomics, / 29(2), 99-08. CrossRef
  30. Shen, Q., Rigor, R. R., Pivetti, C. D., Wu, M. H., & Yuan, S. Y. (2010). Myosin light chain kinase in microvascular endothelial barrier function. / Cardiovascular Research, / 87(2), 272-80. CrossRef
  31. Tweeddale, H., Notley-Mcrobb, L., & Ferenci, T. (1998). Effect of slow growth on metabolism of Escherichia coli, as revealed by global metabolite pool (’metabolome- analysis. / Journal of Bacteriology, / 180(19), 5109-116.
  32. Vallejo, M., García, A., Tu?ón, J., García-Martínez, D., Angulo, S., Martin-Ventura, J. L., et al. (2009). Plasma fingerprinting with GC-MS in acute coronary syndrome. / Analytical and Bioanalytical Chemistry, / 394(6), 1517-524. CrossRef
  33. van der Greef, J., Martin, S., Juhasz, P., Adourian, A., Plasterer, T., Verheij, E. R., et al. (2007). The art and practice of systems biology in medicine: Mapping patterns of relationships. / Journal of Proteome Research, / 6(4), 1540-559. CrossRef
  34. van Olffen, R. W., de Bruin, A. M., Vos, M., Staniszewska, A. D., Hamann, J., van Lier, R. A., et al. (2010). CD70-driven chronic immune activation is protective against aterosclerosis. / Journal of Innate Immunity, / 2(4), 344-52. CrossRef
  35. Varo, N., de Lemos, J. A., Libby, P., Morrow, D. A., Murphy, S. A., Nuzzo, R., et al. (2003). Soluble CD40L: Risk prediction after acute coronary syndromes. / Circulation, / 108, 1049-052. CrossRef
  36. Waterman, C. L., Kian-Kai, C., & Griffin, J. L. (2010). Metabolomic strategies to study lipotoxicity in cardiovascular disease. / Biochimica et Biophysica Acta, / 1801(3), 230-34. CrossRef
  37. Wilson, P. W. (2008). Progressing from risk factors to omics. / Circulation Cardiovascular Genetics, / 1(2), 141-46. CrossRef
  38. Zeng, M., Liang, Y., Li, H., Wang, M., Wang, B., Chen, X., et al. (2010). Plasma metabolic fingerprinting of childhood obesity by GC/MS in conjunction with multivariate statistical analysis. / Journal of Pharmaceutical and Biomedical Analysis, / 52(2), 265-72. CrossRef
  
• 作者单位：Carlos M. Laborde (1)
  Laura Mourino-Alvarez (1)
  María Posada-Ayala (2)
  Gloria Alvarez-Llamas (2)
  Manuel Gómez Serranillos-Reus (3)
  José Moreu (4)
  Fernando Vivanco (2) (5)
  Luis R. Padial (6)
  María G. Barderas (1) (7)
  
  1. Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
  2. Department of Immunology, IIS-Fundación Jiménez Díaz, Madrid, Spain
  3. Department of Biochemistry, Hospital Virgen de la Salud, SESCAM, Toledo, Spain
  4. Department of Hemodynamic, Hospital Virgen de la Salud, SESCAM, Toledo, Spain
  5. Department of Biochemistry and Molecular Biology I, Facultad de Biología, UCM, Madrid, Spain
  6. Department of Cardiology, Hospital Virgen de la Salud, SESCAM, Toledo, Spain
  7. Proteomic Unit, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
  
• ISSN：1573-3890

文摘

Discovery of new biomarkers is critical for early diagnosis of acute coronary syndrome (ACS). Recent advances in metabolomic technologies have drastically enhanced the possibility of improving the knowledge of its physiopathology through the identification of the altered metabolic pathways. In this study, analyses of peripheral plasma from non-ST segment elevation ACS patients and healthy controls by gas chromatography–mass spectrometry (GC–MC) permitted the identification of 15 metabolites with statistical differences (p?<?0.05) between experimental groups. Additionally, validation by GC–MC and liquid chromatography–MC permitted us to identify a potential panel of biomarkers formed by 5-OH-tryptophan, 2-OH-butyric acid and 3-OH-butyric acid. This panel of biomarkers reflects the oxidative stress and the hypoxic state that suffers the myocardial cells and consequently constitutes a metabolomic signature of the atherogenesis process that could be used for early diagnosis of ACS.