A Whole Blood Molecular Signature for Acute Myocardial Infarction

Evan D Muse1, Eric R Kramer1, Haiying Wang2

  • 1The Scripps Translational Science Institute, The Scripps Research Institute, Scripps Health, La Jolla, USA.

Scientific Reports
|September 27, 2017
PubMed

Insights

Researchers identified a molecular signature in circulating endothelial cells (CECs) from whole blood that can detect acute myocardial infarction (AMI). This discovery may help identify impending cardiac events earlier than current methods.

Area of Science:

  • Cardiovascular Medicine
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Chest pain is a common symptom requiring medical attention, often leading to acute myocardial infarction (AMI) diagnosis.
  • Current diagnostic methods for AMI rely on detecting myocyte death, lacking biomarkers for predicting impending cardiac events.
  • Circulating endothelial cells (CECs) offer potential insights into early cardiovascular disease processes.

Purpose of the Study:

  • To identify a transcriptomic signature in whole blood, specifically from CECs, indicative of AMI.
  • To establish a novel biomarker for early detection of cardiac events.
  • To investigate the potential of CECs in understanding plaque rupture dynamics.

Main Methods:

  • Microarray analysis of enriched CEC samples to identify candidate AMI-related genes.
  • Quantitative PCR (qPCR) to verify gene detectability and predictive value in whole blood.
  • Validation of the identified transcriptomic signature in an independent patient cohort.

Main Results:

  • A distinct CEC-derived molecular signature was identified in whole blood.
  • This signature demonstrated the ability to identify patients with AMI.
  • The signature showed potential for predicting earlier stages of cardiac events.

Conclusions:

  • A whole blood CEC-derived molecular signature can effectively identify patients with AMI.
  • This signature provides a framework for potentially detecting impending cardiac events earlier.
  • Integration with clinical history and other diagnostics may enhance early cardiac event detection.

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