AI Article Synopsis

  • Prediction of transitions from stable coronary conditions to acute syndromes remains challenging due to factors like vascular inflammation and thrombosis, which can lead to severe heart damage.
  • A new nano-tracer platform has been developed that visually tracks signs of coronary inflammation and atherothrombosis in mice, helping to identify high-risk areas before a heart attack occurs.
  • This innovative approach could potentially be applied to monitor other diseases as well, offering significant predictive capabilities for various medical conditions.

Article Abstract

Prediction of the transition from stable to acute coronary syndromes driven by vascular inflammation, thrombosis with subsequent microembolization, and vessel occlusion leading to irreversible myocardial damage is still an unsolved problem. Here, we introduce a multi-targeted and multi-color nanotracer platform technology that simultaneously visualizes evolving danger patterns in the development of progressive coronary inflammation and atherothrombosis prior to spontaneous myocardial infarction in mice. Individual ligand-equipped perfluorocarbon nanoemulsions are used as targeting agents and are differentiated by their specific spectral signatures via implementation of multi chemical shift selective F MRI. Thereby, we are able to identify areas at high risk of and predictive for consecutive development of myocardial infarction, at a time when no conventional parameter indicates any imminent danger. The principle of this multi-targeted approach can easily be adapted to monitor also a variety of other disease entities and constitutes a technology with disease-predictive potential.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494909PMC
http://dx.doi.org/10.1038/s41467-021-26146-6DOI Listing

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