Abstract
Over the last decades, beta-blockers have been a key component of heart failure therapy. However, currently there is no method to identify patients who will benefit from beta-blocking therapy versus those who will be unresponsive or worsen. Furthermore, there is an unmet need to better understand molecular mechanisms through which heart failure therapies, such as beta-blockers, improve cardiac function, in order to design novel targeted therapies. Solving these issues is an important step towards personalized medicine. Here, we present a comprehensive transcriptomic analysis of molecular pathways that are affected by beta-blocking agents and a transcriptomic biomarker to predict therapy response.
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Heidecker, B., Kittleson, M. M., Kasper, E. K., Wittstein, I. S., Champion, H. C., Russell, S. D., … Hare, J. M. (2016, April 1). Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy. JACC: Basic to Translational Science. Elsevier Inc. https://doi.org/10.1016/j.jacbts.2016.02.001
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