Literature DB >> 29343412

Implementing genome-driven personalized cardiology in clinical practice.

Ares Pasipoularides1.   

Abstract

Genomics designates the coordinated investigation of a large number of genes in the context of a biological process or disease. It may be long before we attain comprehensive understanding of the genomics of common complex cardiovascular diseases (CVDs) such as inherited cardiomyopathies, valvular diseases, primary arrhythmogenic conditions, congenital heart syndromes, hypercholesterolemia and atherosclerotic heart disease, hypertensive syndromes, and heart failure with preserved/reduced ejection fraction. Nonetheless, as genomics is evolving rapidly, it is constructive to survey now pertinent concepts and breakthroughs. Today, clinical multimodal electronic medical/health records (EMRs/EHRs) incorporating genomic information establish a continuously-learning, vast knowledge-network with seamless cycling between clinical application and research. It can inform insights into specific pathogenetic pathways, guide biomarker-assisted precise diagnoses and individualized treatments, and stratify prognoses. Complex CVDs blend multiple interacting genomic variants, epigenetics, and environmental risk-factors, engendering progressions of multifaceted disease-manifestations, including clinical symptoms and signs. There is no straight-line linkage between genetic cause(s) or causal gene-variant(s) and disease phenotype(s). Because of interactions involving modifier-gene influences, (micro)-environmental, and epigenetic effects, the same variant may actually produce dissimilar abnormalities in different individuals. Implementing genome-driven personalized cardiology in clinical practice reveals that the study of CVDs at the level of molecules and cells can yield crucial clinical benefits. Complementing evidence-based medicine guidelines from large ("one-size fits all") randomized controlled trials, genomics-based personalized or precision cardiology is a most-creditable paradigm: It provides customizable approaches to prevent, diagnose, and manage CVDs with treatments directly/precisely aimed at causal defects identified by high-throughput genomic technologies. They encompass stem cell and gene therapies exploiting CRISPR-Cas9-gene-editing, and metabolomic-pharmacogenomic therapeutic modalities, precisely fine-tuned for the individual patient. Following the Human Genome Project, many expected genomics technology to provide imminent solutions to intractable medical problems, including CVDs. This eagerness has reaped some disappointment that advances have not yet materialized to the degree anticipated. Undoubtedly, personalized genetic/genomics testing is an emergent technology that should not be applied without supplementary phenotypic/clinical information: Genotype≠Phenotype. However, forthcoming advances in genomics will naturally build on prior attainments and, combined with insights into relevant epigenetics and environmental factors, can plausibly eradicate intractable CVDs, improving human health and well-being.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Genome sequencing; Genome-& phenome-wide association studies (GWAS/PheWAS); Genomic decoding of phenotypic diversity; Hemodynamics & myocardial mechanics phenome; Personalized or precision medicine

Mesh:

Year:  2018        PMID: 29343412      PMCID: PMC5820118          DOI: 10.1016/j.yjmcc.2018.01.008

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN: 0022-2828            Impact factor:   5.000


  117 in total

Review 1.  Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background Document to the ESHG recommendations on genetic testing and common disorders.

Authors:  Frauke Becker; Carla G van El; Dolores Ibarreta; Eleni Zika; Stuart Hogarth; Pascal Borry; Anne Cambon-Thomsen; Jean Jacques Cassiman; Gerry Evers-Kiebooms; Shirley Hodgson; A Cécile J W Janssens; Helena Kaariainen; Michael Krawczak; Ulf Kristoffersson; Jan Lubinski; Christine Patch; Victor B Penchaszadeh; Andrew Read; Wolf Rogowski; Jorge Sequeiros; Lisbeth Tranebjaerg; Irene M van Langen; Helen Wallace; Ron Zimmern; Jörg Schmidtke; Martina C Cornel
Journal:  Eur J Hum Genet       Date:  2011-04       Impact factor: 4.246

Review 2.  Calcific Aortic Valve Disease: Part 1--Molecular Pathogenetic Aspects, Hemodynamics, and Adaptive Feedbacks.

Authors:  Ares Pasipoularides
Journal:  J Cardiovasc Transl Res       Date:  2016-02-18       Impact factor: 4.132

3.  Hemodynamics of the Mueller maneuver in man: right and left heart micromanometry and Doppler echocardiography.

Authors:  W R Condos; R D Latham; S D Hoadley; A Pasipoularides
Journal:  Circulation       Date:  1987-11       Impact factor: 29.690

Review 4.  Homeobox genes in embryogenesis and pathogenesis.

Authors:  M Mark; F M Rijli; P Chambon
Journal:  Pediatr Res       Date:  1997-10       Impact factor: 3.756

5.  Know Me! Unraveling the Riddle of Calcific Aortic Valve Disease by Bioinformatics.

Authors:  Ares Pasipoularides
Journal:  Tohoku J Exp Med       Date:  2017-12       Impact factor: 1.848

Review 6.  Disease-targeted sequencing: a cornerstone in the clinic.

Authors:  Heidi L Rehm
Journal:  Nat Rev Genet       Date:  2013-03-12       Impact factor: 53.242

Review 7.  Right and left ventricular diastolic pressure-volume relations: a comprehensive review.

Authors:  Ares Pasipoularides
Journal:  J Cardiovasc Transl Res       Date:  2012-11-21       Impact factor: 4.132

Review 8.  Linking Genes to Cardiovascular Diseases: Gene Action and Gene-Environment Interactions.

Authors:  Ares Pasipoularides
Journal:  J Cardiovasc Transl Res       Date:  2015-11-06       Impact factor: 4.132

9.  Using viral vectors as gene transfer tools (Cell Biology and Toxicology Special Issue: ETCS-UK 1 day meeting on genetic manipulation of cells).

Authors:  Joanna L Howarth; Youn Bok Lee; James B Uney
Journal:  Cell Biol Toxicol       Date:  2009-10-15       Impact factor: 6.691

10.  A family of microRNAs encoded by myosin genes governs myosin expression and muscle performance.

Authors:  Eva van Rooij; Daniel Quiat; Brett A Johnson; Lillian B Sutherland; Xiaoxia Qi; James A Richardson; Robert J Kelm; Eric N Olson
Journal:  Dev Cell       Date:  2009-11       Impact factor: 13.417

View more
  7 in total

Review 1.  Clinical-pathological correlations of BAV and the attendant thoracic aortopathies. Part 2: Pluridisciplinary perspective on their genetic and molecular origins.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2019-06-06       Impact factor: 5.000

2.  Clinical-pathological correlations of BAV and the attendant thoracic aortopathies. Part 1: Pluridisciplinary perspective on their hemodynamics and morphomechanics.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2019-05-28       Impact factor: 5.000

3.  The new era of whole-exome sequencing in congenital heart disease: brand-new insights into rare pathogenic variants.

Authors:  Ares Pasipoularides
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

Review 4.  Morphomechanic phenotypic variability of sarcomeric cardiomyopathies: A multifactorial polygenic perspective.

Authors:  Ares Pasipoularides
Journal:  J Mol Cell Cardiol       Date:  2018-11-10       Impact factor: 5.000

Review 5.  How Genomics Is Personalizing the Management of Dyslipidemia and Cardiovascular Disease Prevention.

Authors:  Lane B Benes; Daniel J Brandt; Eric J Brandt; Michael H Davidson
Journal:  Curr Cardiol Rep       Date:  2018-10-17       Impact factor: 2.931

Review 6.  Gene surgery: Potential applications for human diseases.

Authors:  Ayman El-Kenawy; Bachir Benarba; Adriana Freitas Neves; Thaise Gonçalves de Araujo; Bee Ling Tan; Adel Gouri
Journal:  EXCLI J       Date:  2019-10-11       Impact factor: 4.068

Review 7.  The Role of CYP450 Drug Metabolism in Precision Cardio-Oncology.

Authors:  Olubadewa A Fatunde; Sherry-Ann Brown
Journal:  Int J Mol Sci       Date:  2020-01-17       Impact factor: 5.923

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.