Omics phenotyping in heart failure: the next frontier

Author:

Bayes-Genis Antoni123ORCID,Liu Peter P4,Lanfear David E5ORCID,de Boer Rudolf A6ORCID,González Arantxa27ORCID,Thum Thomas8ORCID,Emdin Michele910,Januzzi James L11

Affiliation:

1. Heart Institute (iCor), University Hospital Germans Trias i Pujol, Badalona, Spain

2. CIBERCV, Instituto de Salud Carlos III, Madrid, Spain

3. Department of Medicine, Universitat Autònoma Barcelona

4. University of Ottawa Heart Institute, University of Ottawa, Ottawa, Ontario, Canada

5. Henry Ford Heart and Vascular Institute, Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, MI, USA

6. Department of Cardiology, University of Groningen, University Medical Center, Groningen, The Netherlands

7. Program of Cardiovascular Diseases, CIMA Universidad de Navarra and IdiSNA, Pamplona, Spain

8. Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany

9. Institute of Life Sciences, Scuola Superiore Sant’Anna, Pisa, Italy

10. Fondazione Toscana G. Monasterio, Pisa, Italy

11. Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

Abstract

Abstract This state-of-the-art review aims to provide an up-to-date look at breakthrough omic technologies that are helping to unravel heart failure (HF) disease mechanisms and heterogeneity. Genomics, transcriptomics, proteomics, and metabolomics in HF are reviewed in depth. In addition, there is a thorough, expert discussion regarding the value of omics in identifying novel disease pathways, advancing understanding of disease mechanisms, differentiating HF phenotypes, yielding biomarkers for diagnosis or prognosis, or identifying new therapeutic targets in HF. The combination of multiple omics technologies may create a more comprehensive picture of the factors and physiology involved in HF than achieved by either one alone and provides a rich resource for predictive phenotype modelling. However, the successful translation of omics tools as solutions to clinical HF requires that the observations are robust and reproducible and can be validated across multiple independent populations to ensure confidence in clinical decision-making.

Funder

ERACVDs HF-Lipcar

ERC

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

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