Regulatory RNAs in Heart Failure

Clarissa Pedrosa Costa Gomes, Blanche Schroen, Gabriela M Kuster, Emma L Robinson, Kerrie Ford, Iain B Squire, Stephane Heymans, Fabio Martelli, Costanza Emanueli, Yvan Devaux, EU-CardioRNA COST Action (CA17129)

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Cardiovascular disease is an enormous socioeconomic burden worldwide and remains a leading cause of mortality and disability despite significant efforts to improve treatments and personalize healthcare. Heart failure is the main manifestation of cardiovascular disease and has reached epidemic proportions. Heart failure follows a loss of cardiac homeostasis, which relies on a tight regulation of gene expression. This regulation is under the control of multiple types of RNA molecules, some encoding proteins (the so-called messenger RNAs) and others lacking protein-coding potential, named noncoding RNAs. In this review article, we aim to revisit the notion of regulatory RNA, which has been thus far mainly confined to noncoding RNA. Regulatory RNA, which we propose to abbreviate as regRNA, can include both protein-coding RNAs and noncoding RNAs, as long as they contribute, directly or indirectly, to the regulation of gene expression. We will address the regulation and functional role of messenger RNAs, microRNAs, long noncoding RNAs, and circular RNAs (ie, regRNAs) in heart failure. We will debate the utility of regRNAs to diagnose, prognosticate, and treat heart failure, and we will provide directions for future work.

Original languageEnglish
Pages (from-to)313-328
Number of pages16
JournalCirculation
Volume141
Issue number4
DOIs
Publication statusPublished - 28 Jan 2020

Keywords

  • 2013 ACCF/AHA GUIDELINE
  • AMERICAN-COLLEGE
  • ASSOCIATION TASK-FORCE
  • CARDIAC-HYPERTROPHY
  • COMPETING ENDOGENOUS RNA
  • ENDOTHELIAL-CELLS
  • INFLAMMATORY RESPONSE
  • LONG NONCODING RNA
  • RNA
  • SMOOTH-MUSCLE-CELLS
  • TNF-ALPHA EXPRESSION
  • biomarkers
  • epigenetics
  • heart failure
  • transcriptome analysis

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