Omics phenotyping in heart failure: the next frontier

被引:53
作者
Bayes-Genis, Antoni [1 ,2 ,3 ]
Liu, Peter P. [4 ]
Lanfear, David E. [5 ]
de Boer, Rudolf A. [6 ]
Gonzalez, Arantxa [2 ,7 ]
Thum, Thomas [8 ]
Emdin, Michele [9 ,10 ]
Januzzi, James L. [11 ]
机构
[1] Univ Hosp Germans Trias & Pujol, Heart Inst iCor, Badalona, Spain
[2] Inst Salud Carlos III, CIBERCV, Madrid, Spain
[3] Univ Autonoma Barcelona, Dept Med, Barcelona, Spain
[4] Univ Ottawa, Heart Inst, Ottawa, ON, Canada
[5] Henry Ford Hosp, Henry Ford Heart & Vasc Inst, Ctr Individualized & Genom Med Res, Detroit, MI 48202 USA
[6] Univ Groningen, Univ Med Ctr, Dept Cardiol, Groningen, Netherlands
[7] CIMA Univ Navarra & IdiSNA, Program Cardiovasc Dis, Pamplona, Spain
[8] Hannover Med Sch, Inst Mol & Translat Therapeut Strategies IMTTS, Hannover, Germany
[9] Inst Life Sci, Scuola Super St Anna, Pisa, Italy
[10] Fdn Toscana G Monasterio, Pisa, Italy
[11] Harvard Med Sch, Massachusetts Gen Hosp, Dept Med, Div Cardiol, Boston, MA 02115 USA
关键词
Omics; Proteomics; Metabolomics; REDUCED EJECTION FRACTION; FACTOR-BINDING PROTEIN-7; GENOME-WIDE ASSOCIATION; LONG NONCODING RNA; CIRCULATING MICRORNAS; PRECISION MEDICINE; CARDIOVASCULAR-DISEASE; DILATED CARDIOMYOPATHY; PROGNOSTIC VALUE; BIOMARKERS;
D O I
10.1093/eurheartj/ehaa270
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:3477 / +
页数:10
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