| Literature DB >> 32337540 |
Antoni Bayes-Genis1,2,3, Peter P Liu4, David E Lanfear5, Rudolf A de Boer6, Arantxa González2,7, Thomas Thum8, Michele Emdin9,10, James L Januzzi11.
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. Published on behalf of the European Society of Cardiology. All rights reserved.Entities:
Keywords: Metabolomics; Omics; Proteomics
Mesh:
Substances:
Year: 2020 PMID: 32337540 DOI: 10.1093/eurheartj/ehaa270
Source DB: PubMed Journal: Eur Heart J ISSN: 0195-668X Impact factor: 29.983