Plasma Ceramides as Prognostic Biomarkers and Their Arterial and Myocardial Tissue Correlates in Acute Myocardial Infarction

Leonardo P. de Carvalho, Sock Hwee Tan, Ghim Siong Ow, Zhiqun Tang, Jianhong Ching, Jean Paul Kovalik, Sock Cheng Poh, Chee Tang Chin, A. Mark Richards, Eliana C. Martinez, Richard W. Troughton, Alan Yean Yip Fong, Bryan P. Yan, Aruni Seneviratna, Vitaly Sorokin, Scott A. Summers, Vladimir A. Kuznetsov, Mark Y. Chan

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

We identified a plasma signature of 11 C14 to C26 ceramides and 1 C16 dihydroceramide predictive of major adverse cardiovascular events in patients with acute myocardial infarction (AMI). Among patients undergoing coronary artery bypass surgery, those with recent AMI, compared with those without recent AMI, showed a significant increase in 5 of the signature's 12 ceramides in plasma but not simultaneously-biopsied aortic tissue. In contrast, a rat AMI model, compared with sham control, showed a significant increase in myocardial concentrations of all 12 ceramides and up-regulation of 3 ceramide-producing enzymes, suggesting ischemic myocardium as a possible source of this ceramide signature.

Original languageEnglish (US)
Pages (from-to)163-175
Number of pages13
JournalJACC: Basic to Translational Science
Volume3
Issue number2
DOIs
StatePublished - Apr 2018

Keywords

  • acute coronary syndrome
  • ceramides
  • dihydroceramides
  • major adverse cardiovascular and cerebrovascular events
  • prognosis
  • risk prediction

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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    de Carvalho, L. P., Tan, S. H., Ow, G. S., Tang, Z., Ching, J., Kovalik, J. P., Poh, S. C., Chin, C. T., Richards, A. M., Martinez, E. C., Troughton, R. W., Fong, A. Y. Y., Yan, B. P., Seneviratna, A., Sorokin, V., Summers, S. A., Kuznetsov, V. A., & Chan, M. Y. (2018). Plasma Ceramides as Prognostic Biomarkers and Their Arterial and Myocardial Tissue Correlates in Acute Myocardial Infarction. JACC: Basic to Translational Science, 3(2), 163-175. https://doi.org/10.1016/j.jacbts.2017.12.005