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Related Experiment Videos

Multiparametric Imaging of Organ System Interfaces.

Katrien Vandoorne1, Matthias Nahrendorf2

  • 1From the Center for Systems Biology (K.V., M.N.) and Department of Imaging (K.V., M.N.), Massachusetts General Hospital and Harvard Medical School, Boston; and Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston (M.N.).

Circulation. Cardiovascular Imaging
|April 1, 2017
PubMed
Summary

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Multiparametric imaging reveals how interconnected systems influence cardiovascular diseases. This approach quanties interactions, aiding in the discovery of new diagnostic biomarkers and therapeutic targets for complex heart and artery conditions.

Area of Science:

  • Cardiovascular research
  • Systems biology
  • Medical imaging

Background:

  • Cardiovascular diseases arise from genetic and environmental factors impacting the heart and arteries.
  • Blood vessels act as communication channels between organs, influenced by nervous and metabolic systems.
  • Understanding these systemic interactions is crucial for comprehending cardiovascular disease development.

Purpose of the Study:

  • To explore the role of interfacing systems in cardiovascular disease using multiparametric imaging.
  • To quantify the complex interplay between cardiovascular organs and other bodily systems.
  • To identify potential biomarker combinations for understanding and diagnosing cardiovascular disease.

Main Methods:

  • Utilizing noninvasive multiparametric imaging techniques.
Keywords:
biomarkersbraincardiovascular diseaseshematopoietic systemsystems biology

Related Experiment Videos

  • Employing advanced imaging modalities like positron emission tomography/magnetic resonance imaging and multichannel optical imaging.
  • Simultaneously sampling multiple biomarkers to study system interactions.

    • Main Results:

    • Multiparametric imaging allows for the study of distinct processes within interfacing systems.
    • Quantification of interactions between systems like immune, nervous, and hematopoietic with cardiovascular organs.
    • Potential for discovering clinically relevant biomarker combinations for cardiovascular disease.

    Conclusions:

    • Noninvasive multiparametric imaging is a key tool for understanding the complex dynamics of cardiovascular disease.
    • Mapping interconnected systems through imaging can decipher disease complexity.
    • This approach can aid in monitoring novel therapeutic strategies for cardiovascular conditions.