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

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 mo...

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Main Authors:	Bettina Heidecker, MD, Michelle M. Kittleson, MD, PhD, Edward K. Kasper, MD, Ilan S. Wittstein, MD, Hunter C. Champion, MD, PhD, Stuart D. Russell, MD, Kenneth L. Baughman, MD, Joshua M. Hare, MD
Format:	Article
Language:	English
Published:	Elsevier 2016-04-01
Series:	JACC: Basic to Translational Science
Subjects:	beta-blocking agents biomarker gene expression heart failure transcriptomics
Online Access:	http://www.sciencedirect.com/science/article/pii/S2452302X16000358

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spelling	doaj-dea63d6869d64ceaacf5a03cd66df8f82020-11-24T21:51:54ZengElsevierJACC: Basic to Translational Science2452-302X2016-04-011310712110.1016/j.jacbts.2016.02.001Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to TherapyBettina Heidecker, MD0Michelle M. Kittleson, MD, PhD1Edward K. Kasper, MD2Ilan S. Wittstein, MD3Hunter C. Champion, MD, PhD4Stuart D. Russell, MD5Kenneth L. Baughman, MD6Joshua M. Hare, MD7University of California, San Francisco, CaliforniaCedars Sinai, Los Angeles, CaliforniaThe Johns Hopkins Hospital, Baltimore, MarylandThe Johns Hopkins Hospital, Baltimore, MarylandUniversity of Pittsburgh, Pittsburgh, PennsylvaniaThe Johns Hopkins Hospital, Baltimore, MarylandBrigham and Women’s Hospital, Boston, MassachusettsUniversity of Miami, Miami, FloridaOver 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.http://www.sciencedirect.com/science/article/pii/S2452302X16000358beta-blocking agentsbiomarkergene expressionheart failuretranscriptomics
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Bettina Heidecker, MD Michelle M. Kittleson, MD, PhD Edward K. Kasper, MD Ilan S. Wittstein, MD Hunter C. Champion, MD, PhD Stuart D. Russell, MD Kenneth L. Baughman, MD Joshua M. Hare, MD
spellingShingle	Bettina Heidecker, MD Michelle M. Kittleson, MD, PhD Edward K. Kasper, MD Ilan S. Wittstein, MD Hunter C. Champion, MD, PhD Stuart D. Russell, MD Kenneth L. Baughman, MD Joshua M. Hare, MD 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 beta-blocking agents biomarker gene expression heart failure transcriptomics
author_facet	Bettina Heidecker, MD Michelle M. Kittleson, MD, PhD Edward K. Kasper, MD Ilan S. Wittstein, MD Hunter C. Champion, MD, PhD Stuart D. Russell, MD Kenneth L. Baughman, MD Joshua M. Hare, MD
author_sort	Bettina Heidecker, MD
title	Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
title_short	Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
title_full	Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
title_fullStr	Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
title_full_unstemmed	Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
title_sort	transcriptomic analysis identifies the effect of beta-blocking agents on a molecular pathway of contraction in the heart and predicts response to therapy
publisher	Elsevier
series	JACC: Basic to Translational Science
issn	2452-302X
publishDate	2016-04-01
description	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.
topic	beta-blocking agents biomarker gene expression heart failure transcriptomics
url	http://www.sciencedirect.com/science/article/pii/S2452302X16000358
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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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