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Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy

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Date 2018 Sep 1
PMID 30167508
Citations 4
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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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References
1.
Chugh S, Whitesel S, Turner M, Roberts Jr C, Nagalla S . Genetic basis for chamber-specific ventricular phenotypes in the rat infarct model. Cardiovasc Res. 2003; 57(2):477-85. DOI: 10.1016/s0008-6363(02)00703-4. View

2.
Harbig J, Sprinkle R, Enkemann S . A sequence-based identification of the genes detected by probesets on the Affymetrix U133 plus 2.0 array. Nucleic Acids Res. 2005; 33(3):e31. PMC: 549426. DOI: 10.1093/nar/gni027. View

3.
Hamdani N, Paulus W, van Heerebeek L, Borbely A, Boontje N, Zuidwijk M . Distinct myocardial effects of beta-blocker therapy in heart failure with normal and reduced left ventricular ejection fraction. Eur Heart J. 2009; 30(15):1863-72. DOI: 10.1093/eurheartj/ehp189. View

4.
Heidecker B, Hare J . Cardiovascular genetic medicine: genomic assessment of prognosis and diagnosis in patients with cardiomyopathy and heart failure. J Cardiovasc Transl Res. 2010; 1(3):225-31. PMC: 4745893. DOI: 10.1007/s12265-008-9044-y. View

5.
Heidecker B, Kittleson M, Kasper E, Wittstein I, Champion H, Russell S . Transcriptomic biomarkers for the accurate diagnosis of myocarditis. Circulation. 2011; 123(11):1174-84. PMC: 3408077. DOI: 10.1161/CIRCULATIONAHA.110.002857. View