Multi-targeted 1H/19F MRI unmasks specific danger patterns for emerging cardiovascular disorders

Ulrich Flögel1,2,3, Sebastian Temme4,5,6,7, Christoph Jacoby4,6

  • 1Experimental Cardiovascular Imaging, Institute for Molecular Cardiology, Heinrich Heine University, Düsseldorf, Germany. floegel@uni-duesseldorf.de.

Nature Communications
|October 7, 2021
PubMed

Insights

This study introduces a novel nanotracer platform for early detection of coronary inflammation and atherothrombosis, predicting myocardial infarction risk before conventional signs appear. This technology offers potential for early disease prediction in various conditions.

Area of Science:

  • Biomedical imaging
  • Nanotechnology
  • Cardiovascular research

Background:

  • Predicting acute coronary syndromes (ACS) remains challenging.
  • Vascular inflammation and atherothrombosis precede myocardial infarction.
  • Current methods lack predictive capability for imminent cardiac events.

Purpose of the Study:

  • To develop a multi-targeted nanotracer platform for early visualization of coronary inflammation and atherothrombosis.
  • To identify high-risk areas predictive of myocardial infarction in mice.
  • To establish a technology with disease-predictive potential for various conditions.

Main Methods:

  • Utilized multi-color nanotracer platform with ligand-equipped perfluorocarbon nanoemulsions.
  • Employed multi-chemical shift selective 19F MRI for simultaneous visualization.
  • Differentiated nanoemulsions by spectral signatures for targeted imaging.

Main Results:

  • Successfully visualized evolving danger patterns in progressive coronary inflammation and atherothrombosis.
  • Identified high-risk areas predictive of spontaneous myocardial infarction in mice.
  • Demonstrated early detection prior to conventional parameter indication of danger.

Conclusions:

  • The developed nanotracer platform enables simultaneous visualization of atherothrombosis progression.
  • This technology can predict myocardial infarction risk at an early, pre-symptomatic stage.
  • The multi-targeted approach is adaptable for monitoring diverse disease entities.

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