Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 7657306, 8 pages
https://doi.org/10.1155/2017/7657306
Research Article

Serum Metabolomics Profiling to Identify Biomarkers for Unstable Angina

Department of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, No. 154, Anshan Road, Heping District, Tianjin 300052, China

Correspondence should be addressed to Wei Yao; ten.haey@iewoayjt

Received 17 January 2017; Revised 12 April 2017; Accepted 2 May 2017; Published 24 May 2017

Academic Editor: Maria Dolores Pinazo-Duran

Copyright © 2017 Wei Yao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Kibos and A. Guerchicoff, “Susceptibility genes for coronary heart disease and myocardial infarction,” Acute Cardiac Care, vol. 13, no. 3, pp. 136–142, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Unal, J. A. Critchley, and S. Capewell, “Explaining the decline in coronary heart disease mortality in england and wales between 1981 and 2000,” Circulation, vol. 109, no. 9, pp. 1101–1107, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. Yeghiazarians, J. B. Braunstein, A. Askari, and P. H. Stone, “Unstable angina pectoris,” New England Journal of Medicine, vol. 342, no. 2, pp. 101–114, 2000. View at Publisher · View at Google Scholar · View at Scopus
  4. J. L. Anderson, B. D. Horne, S. M. Stevens et al., “Randomized trial of genotype-guided versus standard warfarin dosing in patients initiating oral anticoagulation,” Circulation, vol. 116, no. 22, pp. 2563–2570, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Delles, E. Schiffer, C. Von Zur Muhlen et al., “Urinary proteomic diagnosis of coronary artery disease: identification and clinical validation in 623 subjects,” Journal of Human Hypertension, vol. 24, no. 10, p. 698, 2010. View at Google Scholar
  6. T. Reichlin, W. Hochholzer, S. Bassetti et al., “Early diagnosis of myocardial infarction with sensitive cardiac troponin assays,” New England Journal of Medicine, vol. 361, no. 9, pp. 858–867, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. C. E. Wheelock, Å. M. Wheelock, S. Kawashima et al., “Systems biology approaches and pathway tools for investigating cardiovascular disease,” Molecular BioSystems, vol. 5, no. 6, pp. 588–602, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. J. K. Nicholson and J. C. Lindon, “Systems biology: metabonomics,” Nature, vol. 455, no. 7216, pp. 1054–1056, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. M. H. Abu Bakar, M. R. Sarmidi, K. Cheng et al., “Metabolomics - the complementary field in systems biology: a review on obesity and type 2 diabetes,” Molecular BioSystems, vol. 11, no. 7, pp. 1742–1774, 2015. View at Publisher · View at Google Scholar
  10. J. Y. Jung, H.-S. Lee, D.-G. Kang et al., “1H-NMR-based metabolomics study of cerebral infarction,” Stroke, vol. 42, no. 5, pp. 1282–1288, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. P. Bernini, I. Bertini, C. Luchinat, L. Tenori, and A. Tognaccini, “The cardiovascular risk of healthy individuals studied by NMR metabonomics of plasma samples,” Journal of Proteome Research, vol. 10, no. 11, pp. 4983–4992, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. V. Bodi, J. Sanchis, J. M. Morales et al., “Metabolomic profile of human myocardial ischemia by nuclear magnetic resonance spectroscopy of peripheral blood serum: a translational study based on transient coronary occlusion models,” Journal of the American College of Cardiology, vol. 59, no. 18, pp. 1629–1641, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. W. B. Dunn, D. I. Broadhurst, S. M. Deepak et al., “Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate,” Metabolomics, vol. 3, no. 4, pp. 413–426, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Akira, S. Masu, M. Imachi, H. Mitome, M. Hashimoto, and T. Hashimoto, “1H NMR-based metabonomic analysis of urine from young spontaneously hypertensive rats,” Journal of Pharmaceutical and Biomedical Analysis, vol. 46, no. 3, pp. 550–556, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. H. Xiao, B. E. Tan, M. M. Wu et al., “Effects of composite antimicrobial peptides in weanling piglets challenged with deoxynivalenol: II. Intestinal morphology and function,” Journal of Animal Science, vol. 91, no. 10, pp. 4750–4756, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. M. B. Bizino, S. Hammer, and H. J. Lamb, “Metabolic imaging of the human heart: clinical application of magnetic resonance spectroscopy,” Heart, vol. 100, no. 11, pp. 881–890, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Trupp, P. Jonsson, A. Ohrfelt et al., “Metabolite and peptide levels in plasma and CSF differentiating healthy controls from patients with newly diagnosed parkinson's disease,” Journal of Parkinson's Disease, vol. 4, no. 3, pp. 549–560, 2014. View at Google Scholar
  18. J. Y. Park, S.-H. Lee, M.-J. Shin, and G.-S. Hwang, “Alteration in metabolic signature and lipid metabolism in patients with angina pectoris and myocardial infarction,” PLoS ONE, vol. 10, no. 8, Article ID e0135228, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. M. M. Wright, A. G. Howe, and V. Zaremberg, “Cell membranes and apoptosis: role of cardiolipin, phosphatidylcholine, and anticancer lipid analogues,” Biochemistry and Cell Biology, vol. 82, no. 1, pp. 18–26, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. A. K. Walker, R. L. Jacobs, J. L. Watts et al., “A conserved SREBP-1/phosphatidylcholine feedback circuit regulates lipogenesis in metazoans,” Cell, vol. 147, no. 4, pp. 840–852, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. S. Dimmeler, C. Hermann, and A. M. Zeiher, “Apoptosis of endothelial cells. contribution to the pathophysiology of atherosclerosis?” European Cytokine Network, vol. 9, no. 4, 697 pages, 1998. View at Google Scholar
  22. C. B. Granger, R. J. Goldberg, O. Dabbous et al., “Predictors of hospital mortality in the global registry of acute coronary events,” Archives of Internal Medicine, vol. 163, no. 19, pp. 2345–2353, 2003. View at Publisher · View at Google Scholar · View at Scopus
  23. R. T. Saygitov, M. G. Glezer, and S. V. Semakina, “Blood urea nitrogen and creatinine levels at admission for mortality risk assessment in patients with acute coronary syndromes,” Emergency Medicine Journal, vol. 27, no. 2, pp. 105–109, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Carrola, C. M. Rocha, A. S. Barros et al., “Metabolic signatures of lung cancer in biofluids: NMR-based metabonomics of urine,” Journal of Proteome Research, vol. 10, no. 1, pp. 221–230, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. K. J. Drake, V. Y. Sidorov, O. P. McGuinness, D. H. Wasserman, and J. P. Wikswo, “Amino acids as metabolic substrates during cardiac ischemia,” Experimental Biology and Medicine, vol. 237, no. 12, pp. 1369–1378, 2012. View at Publisher · View at Google Scholar · View at Scopus
  26. G. Liu, S. Chen, J. Zhong, K. Teng, and Y. Yin, “Crosstalk between tryptophan metabolism and cardiovascular disease, mechanisms, and therapeutic implications,” Oxidative Medicine and Cellular Longevity, vol. 2017, Article ID 1602074, 5 pages, 2017. View at Publisher · View at Google Scholar
  27. G. Liu, W. Ren, J. Fang, C. A. Hu et al., “L-Glutamine and L-arginine protect against enterotoxigenic Escherichia coli infection via intestinal innate immunity in mice,” Amino Acids, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  28. A. T. Turer, R. D. Stevens, J. R. Bain et al., “Metabolomic profiling reveals distinct patterns of myocardial substrate use in humans with coronary artery disease or left ventricular dysfunction during surgical ischemia/reperfusion,” Circulation, vol. 119, no. 13, pp. 1736–1746, 2009. View at Publisher · View at Google Scholar · View at Scopus
  29. M. Nishimura, H. Tanaka, N. Homma, T. Matsuzawa, and Y. Watanabe, “Ionic mechanisms of the depression of automaticity and conduction in the rabbit atrioventricular node caused by hypoxia or metabolic inhibition and protective action of glucose and valine,” The American Journal of Cardiology, vol. 64, no. 20, pp. J24–J28, 1989. View at Publisher · View at Google Scholar · View at Scopus