Cardiomyopathies, familial or sporadic, have become recognized as one of the leading cardiac threats. Hypertrophic cardiomyopathy (HCM) affects 0.2% of the population and is the leading cause of sudden death in young adults. Dilated cardiomyopathy (DCM) and restrictive cardiomyopathy (RCM) are associated with sudden death as well as heart transplantations. Ventricular noncompaction cardiomyopathy (VNCM) is associated with heart failure and arrhythmias. Currently, more than 630 mutations in 10 sarcomeric genes associated with cardiomyopathy have been identified. HCM is associated with more than 550 mutations, whereas DCM, RCM and VNCM are associated with 52, 14 and 17 mutations, respectively. In many cases, the genes affected present a varying range of phenotypic and pathological severity. Recent data suggest that at least two main genetic determinants are involved in the pathogenesis and phenotypic variability within families afflicted by the same disease-linked gene. Individuals that are homozygous for a mutation or heterozygous for two or more mutations often show more severe phenotypes. Secondly, genetic modifiers are present in some cardiomyopathy patients and are associated with a poorer prognosis. At the protein level, changes in protein-protein interactions may also be important in determining the type of cardiomyopathy caused by different mutations. This review provides insight into the complex cardiovascular phenotypes and genetic variability associated with HCM, DCM, RCM and VNCM.
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http://dx.doi.org/10.1016/j.yjmcc.2010.03.005 | DOI Listing |
Curr Cardiol Rep
January 2025
Hasselt University, Faculty of Medicine and Life Sciences / Limburg Clinical Research Centre, Agoralaan, Diepenbeek, Belgium.
Purpose Of Review: This review aims to explore the complex interplay between atrial functional mitral regurgitation (AFMR), atrial fibrillation (AF), and heart failure with preserved ejection fraction (HFpEF). The goal is to define these conditions, examine their underlying mechanisms, and discuss treatment perspectives, particularly addressing diagnostic challenges.
Recent Findings: Recent research highlights the rising prevalence of AFMR, now accounting for nearly one-third of significant mitral regurgitation cases.
Mol Ther
January 2025
Department of Biology, Concordia University, 7141 Sherbrooke St. W H4B 1R6, Montreal, Canada; Department of Physics, Concordia University, 7141 Sherbrooke St. W H4B 1R6, Montreal, Canada. Electronic address:
CRISPR-Cas9 ribonucleoproteins (RNPs) have been heavily considered for gene therapy due to their high on-target efficiency, rapid activity and lack of insertional mutagenesis relative to other CRISPR-Cas9 delivery formats. Genetic diseases such as hypertrophic cardiomyopathy currently lack effective treatment strategies and are prime targets for CRISPR-Cas9 gene editing technology. However, current in-vivo delivery strategies for Cas9 pose risks of unwanted immunogenic responses.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Cardiology-Internal Medicine and Ambulatory Care, Prevention and Cardiovascular Recovery, "Victor Babeș" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Diabetes is a complex global healthcare burden involving multiple organ systems with its prevalence on the rise. SGLT2 inhibitors enhance glucose excretion. The objective of our literature review was to determine the association between cutaneous adverse drug reactions (CADRs) and the use of SGLT2 inhibitors.
View Article and Find Full Text PDFJ Clin Med
December 2024
2nd Department of Ophthalmology, Attikon Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece.
: Retinal vein occlusion (RVO) is a relatively uncommon condition with a complex pathophysiology. However, its association with traditional cardiovascular risk factors is well established. In this study, we compared arterial stiffness and endothelial function between patients with RVO and healthy controls.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Biofluids Laboratory, Perm National Research Polytechnic University, 614990 Perm, Russia.
Simulating the cardiac valves is one of the most complex tasks in cardiovascular modeling. As fluid-structure interaction simulations are highly computationally demanding, machine-learning techniques can be considered a good alternative. Nevertheless, it is necessary to design many aortic valve geometries to generate a training set.
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