New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation

Cardiovasc Res. 2021 Jun 16;117(7):1632-1644. doi: 10.1093/cvr/cvab073.

Abstract

Atrial fibrillation (AF) is a common cardiac arrhythmia leading to many adverse outcomes and increased mortality. Yet the molecular mechanisms underlying AF remain largely unknown. Recent advances in high-throughput technologies make large-scale molecular profiling possible. In the past decade, multiomics studies of AF have identified a number of potential biomarkers of AF. In this review, we focus on the studies of multiomics profiles with AF risk. We summarize recent advances in the discovery of novel biomarkers for AF through multiomics studies. We also discuss limitations and future directions in risk assessment and discovery of therapeutic targets for AF.

Keywords: Aetiology; Atrial fibrillation; Genomics; Mechanism; Multiomics.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Atrial Fibrillation / genetics
  • Atrial Fibrillation / metabolism*
  • Atrial Fibrillation / physiopathology
  • Atrial Fibrillation / therapy
  • Biomarkers / metabolism
  • Epigenome*
  • Genomics*
  • Humans
  • Metabolome*
  • Metabolomics*
  • Predictive Value of Tests
  • Prognosis
  • Proteome*
  • Risk Assessment
  • Risk Factors
  • Systems Biology
  • Transcriptome*

Substances

  • Biomarkers
  • Proteome