Imagenetics for Precision Medicine in Dilated Cardiomyopathy

Author:

Antonopoulos Alexios S.1ORCID,Xintarakou Anastasia1ORCID,Protonotarios Alexandros23,Lazaros George1ORCID,Miliou Antigoni1ORCID,Tsioufis Konstantinos1ORCID,Vlachopoulos Charalambos1ORCID

Affiliation:

1. 1st Cardiology Department, Hippokration Hospital, National and Kapodistrian University of Athens, Greece (A.S.A., A.X., G.L., A.M., K.T., C.V.).

2. Institute of Cardiovascular Science, University College London, United Kingdom (A.P.).

3. Inherited Cardiovascular Disease Unit, St Bartholomew’s Hospital, London, United Kingdom (A.P.).

Abstract

Dilated cardiomyopathy (DCM) is a common heart muscle disorder of nonischemic etiology associated with heart failure development and the risk of malignant ventricular arrhythmias and sudden cardiac death. A tailored approach to risk stratification and prevention of sudden cardiac death is required in genetic DCM given its variable presentation and phenotypic severity. Currently, advances in cardiogenetics have shed light on disease mechanisms, the complex genetic architecture of DCM, polygenic contributors to disease susceptibility and the role of environmental triggers. Parallel advances in imaging have also enhanced disease recognition and the identification of the wide spectrum of phenotypes falling under the DCM umbrella. Genotype-phenotype associations have been also established for specific subtypes of DCM, such as DSP (desmoplakin) or FLNC (filamin-C) cardiomyopathy but overall, they remain elusive and not readily identifiable. Also, despite the accumulated knowledge on disease mechanisms, certain aspects remain still unclear, such as which patients with DCM are at risk for disease progression or remission after treatment. Imagenetics, that is, the combination of imaging and genetics, is expected to further advance research in the field and contribute to precision medicine in DCM management and treatment. In the present article, we review the existing literature in the field, summarize the established knowledge and emerging data on the value of genetics and imaging in establishing genotype-phenotype associations in DCM and in clinical decision making for DCM patients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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