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Omics phenotyping in heart failure: the next frontier.
Bayes-Genis, Antoni; Liu, Peter P; Lanfear, David E; de Boer, Rudolf A; González, Arantxa; Thum, Thomas; Emdin, Michele; Januzzi, James L.
Afiliação
  • Bayes-Genis A; Heart Institute (iCor), University Hospital Germans Trias i Pujol, Badalona, Spain.
  • Liu PP; CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.
  • Lanfear DE; Department of Medicine, Universitat Autònoma Barcelona.
  • de Boer RA; University of Ottawa Heart Institute, University of Ottawa, Ottawa, Ontario, Canada.
  • González A; Henry Ford Heart and Vascular Institute, Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, MI, USA.
  • Thum T; Department of Cardiology, University of Groningen, University Medical Center, Groningen, The Netherlands.
  • Emdin M; CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.
  • Januzzi JL; Program of Cardiovascular Diseases, CIMA Universidad de Navarra and IdiSNA, Pamplona, Spain.
Eur Heart J ; 41(36): 3477-3484, 2020 09 21.
Article em En | MEDLINE | ID: mdl-32337540
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolômica / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolômica / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article