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Several groups are now working on developing multi-scale models of the heart for understanding therapeutic mechanisms and better predicting clinical outcomes of interventions such as cardiac resynchronization therapy.
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Characterization of the cardiac cellulome, the network of cells that form the heart, is essential for understanding cardiac development and normal organ function and for formulating precise therapeutic strategies to combat heart disease.
Studying the basic mechanisms responsible for maintaining and terminating VF in the human heart is important for understanding the pathogenesis of sudden cardiac death.
Understanding the details of these complex systems, as well as the interactions among them, is crucial for understanding heart function in health and disease.
Using this fish model, further studies focused on brain, eyes and heart may be useful for understanding the mechanism of diseases in these systems.
FBN1 network components are already found deregulated in other syndromes/diseases (Henrichsen et al., 2011; Mohamed et al., 2009) indicates their importance for understanding heart-related disorders and abnormalities.
These results raise the possibility that ADAMs 9, 17, and 19 contribute to heart development in humans and have implications for understanding the mechanisms underlying congenital heart disease.
"Understanding how you put this axis together has a lot of implications for understanding congenital heart disease," said Rebecca Burdine, a molecular biologist at Princeton.
"It opened a whole new era for understanding how the heart functions as a pump and what goes wrong when it fails to pump efficiently," said Dr. Heinrich Taegtmeyer, a professor of medicine at the University of Texas Health Science Center in Houston.
The devices could give scientists a better tool for understanding healthy and diseased heart tissue, specifically how the precise arrangement of cells is necessary for the heart to function properly, says Kenneth Chien, director of the Massachusetts General Hospital Cardiovascular Research Center.
The findings have implications for understanding how anger and hostility differentially influence coronary heart disease risk.
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