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REV-ERBα ameliorates heart failure through transcription repression
Lilei Zhang, Rongli Zhang, Chih-Liang Tien, Ricky E. Chan, Keiki Sugi, Chen Fu, Austin C. Griffin, Yuyan Shen, Thomas P. Burris, Xudong Liao, Mukesh K. Jain
Lilei Zhang, Rongli Zhang, Chih-Liang Tien, Ricky E. Chan, Keiki Sugi, Chen Fu, Austin C. Griffin, Yuyan Shen, Thomas P. Burris, Xudong Liao, Mukesh K. Jain
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Research Article Cardiology

REV-ERBα ameliorates heart failure through transcription repression

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Abstract

A cure for heart failure remains a major unmet clinical need, and current therapies targeting neurohomonal and hemodynamic regulation have limited efficacy. The pathological remodeling of the myocardium has been associated with a stereotypical gene expression program, which had long been viewed as the consequence and not the driver of the disease until very recently. Despite the advance, there is no therapy available to reverse the already committed gene program. Here, we demonstrate that transcriptional repressor REV-ERB binds near driver transcription factors across the genome. Pharmacological activation of REV-ERB selectively suppresses aberrant pathologic gene expression and prevents cardiomyocyte hypertrophy. In vivo, REV-ERBα activation prevents development of cardiac hypertrophy, reduces fibrosis, and halts progression of advanced heart failure in mouse models. Thus, to our knowledge, modulation of gene networks by targeting REV-ERBα represents a novel approach to heart failure therapy.

Authors

Lilei Zhang, Rongli Zhang, Chih-Liang Tien, Ricky E. Chan, Keiki Sugi, Chen Fu, Austin C. Griffin, Yuyan Shen, Thomas P. Burris, Xudong Liao, Mukesh K. Jain

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Figure 3

REV-ERBα regulates gene program during cardiomyocyte hypertrophy in vitro via transcription repression.

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REV-ERBα regulates gene program during cardiomyocyte hypertrophy in vitr...
(A and B) RNA-Seq analysis. Neonatal rat ventricular myocytes (NRVMs) were pretreated with vehicle (Veh) or SR9009 (SR) for 24 hours and then treated with phenylephrine (PE) for 48 hours. Samples were collected at 0, 4, and 48 hours after PE treatment. n = 3. (A) Heat map with unsupervised hierarchical clustering. Three hundred and twenty-four genes from all the pathways showing a pairwise differential expression, defined by FWER, P < 0.250. (B) The number of differentially expressed genes comparing to vehicle baseline. The number of upregulated genes are shown as positive, and the number of downregulated genes are shown as negative. (C) ChIP-Seq gene tracks from REV-ERBα (black), MEF2a (blue), and H3K27a (red). MEF2 data is a previously published result from HL-1 cells. H3K27a is part of the ENCODE data from adult mice hearts (28, 29). (D) Fragments per kilobase of transcript per million mapped reads (FPKM). *P = 0.013 (Tacc3), *P = 0.047 (Hivep1 4 hr), *P = 0.031 (Hivep1 48 hr), n = 3. Statistical differences were determined by 2-tailed Student’s t test. Data are presented as mean ± SEM. Multiple comparison is corrected for by using Holm-Sidak method, with α = 0.05.

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