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42 pages, 1639 KiB  
Review
Acute Heart Failure and Non-Ischemic Cardiomyopathies: A Comprehensive Review and Critical Appraisal
by Lina Manzi, Federica Buongiorno, Viviana Narciso, Domenico Florimonte, Imma Forzano, Domenico Simone Castiello, Luca Sperandeo, Roberta Paolillo, Nicola Verde, Alessandra Spinelli, Stefano Cristiano, Marisa Avvedimento, Mario Enrico Canonico, Luca Bardi, Giuseppe Giugliano and Giuseppe Gargiulo
Diagnostics 2025, 15(5), 540; https://doi.org/10.3390/diagnostics15050540 - 23 Feb 2025
Viewed by 290
Abstract
Acute heart failure (AHF) is a complex clinical syndrome characterized by the rapid or gradual onset of symptoms and/or signs of heart failure (HF), leading to an unplanned hospital admission or an emergency department visit. AHF is the leading cause of hospitalization in [...] Read more.
Acute heart failure (AHF) is a complex clinical syndrome characterized by the rapid or gradual onset of symptoms and/or signs of heart failure (HF), leading to an unplanned hospital admission or an emergency department visit. AHF is the leading cause of hospitalization in patients over 65 years, thus significantly impacting public health care. However, its prognosis remains poor with high rates of mortality and rehospitalization. Many pre-existing cardiac conditions can lead to AHF, but it can also arise de novo due to acute events. Therefore, understanding AHF etiology could improve patient management and outcomes. Cardiomyopathies (CMPs) are a heterogeneous group of heart muscle diseases, including dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), restrictive cardiomyopathy (RCM), non-dilated cardiomyopathy (NDLVC), and arrhythmogenic right ventricular cardiomyopathy (ARVC), that frequently present with HF. Patients with CMPs are under-represented in AHF studies compared to other etiologies, and therefore therapeutic responses and prognoses remain unknown. In DCM, AHF represents the most frequent cause of death despite treatment improvements. Additionally, DCM is the first indication for heart transplant (HT) among young and middle-aged adults. In HCM, the progression to AHF is rare and more frequent in patients with concomitant severe left ventricle (LV) obstruction and hypertrophy or severe LV systolic dysfunction. HF is the natural evolution of patients with RCM and HF is associated with poor outcomes irrespective of RCM etiology. Furthermore, while the occurrence of AHF is rare among patients with ARVC, this condition in NDLVC patients is currently unknown. In this manuscript, we assessed the available evidence on AHF in patients with CMPs. Data on clinical presentation, therapeutic management, and clinical outcomes according to specific CMPs are limited. Future HF studies assessing the clinical presentation, treatment, and prognosis of specific CMPs are warranted. Full article
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<p>Etiology, clinical presentation, and outcomes of acute heart failure. The figure summarizes the multiple clinical conditions that may determine AHF, as well as the various clinical presentations of a patient with AHF, and this variability is inevitably associated with different prognostic implications. Abbreviations: ARVC = arrhythmogenic right ventricular cardiomyopathy; CAD = coronary artery disease; DCM = dilated cardiomyopathy; HCM = hypertrophic cardiomyopathy; NDLVC = non-dilated left ventricular cardiomyopathy; RCM = restrictive cardiomyopathy.</p>
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26 pages, 5016 KiB  
Review
Arrhythmogenic Right Ventricular Cardiomyopathy: A Comprehensive Review
by Taha Shaikh, Darren Nguyen, Jasmine K. Dugal, Michael V. DiCaro, Brianna Yee, Nazanin Houshmand, KaChon Lei and Ali Namazi
J. Cardiovasc. Dev. Dis. 2025, 12(2), 71; https://doi.org/10.3390/jcdd12020071 - 13 Feb 2025
Viewed by 542
Abstract
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by structural abnormalities, arrhythmias, and a spectrum of genetic and clinical manifestations. Clinically, ARVC is structurally distinguished by right ventricular dilation due to increased adiposity and fibrosis in the ventricular walls, and it manifests as cardiac [...] Read more.
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by structural abnormalities, arrhythmias, and a spectrum of genetic and clinical manifestations. Clinically, ARVC is structurally distinguished by right ventricular dilation due to increased adiposity and fibrosis in the ventricular walls, and it manifests as cardiac arrhythmias ranging from non-sustained ventricular tachycardia to sudden cardiac death. Its prevalence has been estimated to range from 1 in every 1000 to 5000 people, with its large range being attributed to the variability in genetic penetrance from asymptomatic to significant burden. It is even suggested that the prevalence is underestimated, as the presence of genotypic mutations does not always lead to clinical manifestations that would facilitate diagnosis. Additionally, while set criteria have been in place since the 1990s, newer understanding of this condition and advancements in cardiac technology have prompted multiple revisions in the diagnostic criteria for ARVC. Novel discoveries of gene variants predisposing patients to ARVC have led to established screening techniques while providing insight into genetic counseling and management. This review aims to provide an overview of the genetics, pathophysiology, and clinical approach to ARVC. It will also focus on clinical presentation, ARVC diagnostic criteria, electrophysiological findings, including electrocardiogram characteristics, and imaging findings from cardiac MRI, 2D, and 3D echocardiogram. Current management options—including anti-arrhythmic medications, device indications, and ablation techniques—and the effectiveness of treatment will also be reviewed. Full article
(This article belongs to the Special Issue Diagnosis, Treatment, and Genetics of Cardiomyopathy)
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<p>Right Ventricular Outflow Tract (RVOT) Ventricular Tachycardia, noted by Inferior Axis (positive QRS in inferior leads, blue brackets) and Left-Bundle Branch Block (blue arrow).</p>
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<p>RVOT Ventricular Tachycardia with Inferior Axis (red brackets) and Left-Bundle Branch Block Morphology in V1 (green bracket).</p>
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<p>Epsilon Waves noted diffusely, most prominently in 2, 3, aVF, V1–V6 (red arrows). Prolonged S-Wave upstroke exhibited in V1, V2, V3 (blue arrows).</p>
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<p>Cardiac Magnetic Resonance Images (MRI) showcasing characteristic fibrofatty infiltration of the right ventricular myocardium (red arrows). (<b>Left</b>) Fat-suppressed contrast-enhanced T1-weighted MRI. (<b>Right</b>) Steady-state free precession (SSFP) MRI.</p>
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<p>Electrophysiologic mapping revealing multifocal premature ventricular complexes arising from right ventricular outflow tract (RVOT) septum and free wall in red, and propagating outward, depicted sequentially across the color spectrum in red, orange, yellow, green, blue, and purple, with purple being the furthest from the origin point.</p>
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12 pages, 1071 KiB  
Article
Identification of Biomarkers of Arrhythmogenic Cardiomyopathy (ACM) by Plasma Proteomics
by Sinda Zarrouk, Houda Ben-Miled, Nadia Rahali, Josef Finsterer and Fatma Ouarda
Medicina 2025, 61(1), 105; https://doi.org/10.3390/medicina61010105 - 13 Jan 2025
Viewed by 616
Abstract
Background and Objectives: The pathophysiology of arrhythmogenic cardiomyopathy (ACM), previously known as arrhythmogenic right ventricular cardiomyopathy (ARVC), and its specific biological features remain poorly understood. High-throughput plasma proteomic profiling, a powerful tool for gaining insights into disease pathophysiology at the systems biology level, [...] Read more.
Background and Objectives: The pathophysiology of arrhythmogenic cardiomyopathy (ACM), previously known as arrhythmogenic right ventricular cardiomyopathy (ARVC), and its specific biological features remain poorly understood. High-throughput plasma proteomic profiling, a powerful tool for gaining insights into disease pathophysiology at the systems biology level, has not been used to study ACM. This study aimed at characterizing plasmatic protein changes in patients with ACM, which were compared with those of healthy controls, and at exploring the potential role of the identified proteins as biomarkers for diagnosis and monitoring. Materials and Methods: Blood samples were collected from six ACM patients, four patients with other cardiomyopathies, and two healthy controls. Plasma was processed to remove high-abundance proteins and analyzed by two-dimensional gel electrophoresis. Differential protein expressions were assessed using PDQuest software, Bio-Rad US version 8.0.1. Results: The analysis revealed several proteins with altered expressions between ACM patients and controls, including plakophilin-2, junctional plakoglobin, desmoplakin, desmin, transmembrane protein 43, and lamin A/C. Conclusions: The plasma proteomic profiling of ACM suggests that ACM is a distinct disease entity characterized by a unique dysregulation of desmosomal proteins. The identification of plasma biomarkers associated with ACM underscores their potential to improve diagnostic accuracy and facilitate early intervention strategies. Further exploration of mutations in desmosomal proteins and their phosphorylation states may provide deeper insights into the pathophysiology of ACM. Full article
(This article belongs to the Section Cardiology)
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<p>Protein profiles obtained by 2DE pH 3-10. The figures (<b>A</b>–<b>D</b>) are for the gel proteins profiles (<b>A</b>) Gel A Protein profile of female control (TF), (<b>B</b>) Gel B Protein profile of patient A2, the arrow 2 represent LMNA, (<b>C</b>) Gel C Protein profiles of patient A8, the arrow 1 represented PKP2; the arrow 2 represent LMNA and the arrow 6 represent TMEM43, (<b>D</b>) Gel D Protein profiles of patient A9; the arrow 1 represent PKP2 and the arrow 6 represent TMEM43). The arrow numbers 1, 2, 3, 4, 5, and 6 represent the proteins: 1: PKP2, 2: LMNA, 3: DSP, 4: JUP, 5: DES, 6: TMEM43. The X-axis stands for the isoelectric point (PI), and the Y-axis for the molecular mass (MM).</p>
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<p>Protein profiles obtained by 2DE pH 3–10. The figures (<b>A</b>–<b>D</b>) are for the gel proteins profiles: (<b>A</b>) Gel E Protein profile patient A12, (<b>B</b>) Gel F Protein profile male control, (<b>C</b>) Gel G Protein profiles of patient A11, the arrow 1 represented PKP2; the arrow 3 represent DSP, (<b>D</b>) Gel H Protein profiles of patient A13; the arrow 1 represent PKP2, the arrow 2 represent LMNA the arrow 3 represent DSP, the arrow 4 represent JUP and the arrow 5 represent DES. The arrow numbers 1, 2, 3, 4, 5, and 6 are for the proteins: 1: PKP2, 2: LMNA, 3: DSP. The X-axis stands for the isoelectric point (PI), and the Y-axis for the molecular mass (MM).</p>
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23 pages, 2797 KiB  
Article
Incidence and Impact of Myocarditis in Genetic Cardiomyopathies: Inflammation as a Potential Therapeutic Target
by Yulia Lutokhina, Elena Zaklyazminskaya, Evgeniya Kogan, Andrei Nartov, Valeriia Nartova and Olga Blagova
Genes 2025, 16(1), 51; https://doi.org/10.3390/genes16010051 - 4 Jan 2025
Viewed by 771
Abstract
Background: Myocardial disease is an important component of the wide field of cardiovascular disease. However, the phenomenon of multiple myocardial diseases in a single patient remains understudied. Aim: To investigate the prevalence and impact of myocarditis in patients with genetic cardiomyopathies and to [...] Read more.
Background: Myocardial disease is an important component of the wide field of cardiovascular disease. However, the phenomenon of multiple myocardial diseases in a single patient remains understudied. Aim: To investigate the prevalence and impact of myocarditis in patients with genetic cardiomyopathies and to evaluate the outcomes of myocarditis treatment in the context of cardiomyopathies. Methods: A total of 342 patients with primary cardiomyopathies were enrolled. The study cohort included 125 patients with left ventricular non-compaction (LVNC), 100 with primary myocardial hypertrophy syndrome, 70 with arrhythmogenic right ventricular cardiomyopathy (ARVC), 60 with dilated cardiomyopathy (DCM), and 30 with restrictive cardiomyopathy (RCM). The diagnosis of myocarditis was based on data from myocardial morphological examination or a non-invasive diagnostic algorithm consisting of an analysis of clinical presentation, anti-cardiac antibody (Ab) titres, and cardiac MRI. Results: The prevalence of myocarditis was 74.3% in ARVC, 56.7% in DCM, 54.4% in LVNC, 37.5% in RCM, and 30.9% in HCM. Myocarditis had a primary viral or secondary autoimmune nature and manifested with the onset or worsening of chronic heart failure (CHF) and arrhythmias. Treatment of myocarditis in cardiomyopathies has been shown to stabilise or improve patient condition and reduce the risk of adverse outcomes. Conclusions: In cardiomyopathies, the genetic basis and inflammation are components of a single continuum, which forms a complex phenotype. In genetic cardiomyopathies, myocarditis should be actively diagnosed and treated as it is an important therapeutic target. Full article
(This article belongs to the Section Genetic Diagnosis)
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<p>Graphical representation depicting the structure of the patients included in the study, taking into account the presence of mixed phenotypes.</p>
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<p>Results of morphological study of myocardium in different cardiomyopathies. (<b>a</b>,<b>b</b>) Myocardial changes in HCM in the form of bizarre shape of branching cardiomyocytes, small focal cardiosclerosis with neoangiogenesis, and lymphohistiocytic infiltrates in sclerosis foci; (<b>c</b>,<b>d</b>) myocarditis in HCM with productive capillarites and development of interstitial sclerosis: myocardium is divided by fibrous septa of unequal thickness into lobules, uneven hypertrophy of nuclei, vessels with swollen endothelium, and perivascular accumulations of lymphoid elements are noted, more than 14 in the field of view at high magnification; (<b>e</b>,<b>f</b>) picture of lymphohistiocytic infiltration in ARVC, pronounced total fibrous-fatty replacement of myocardium of LV, the area of preserved myocardium in some areas does not exceed 25%; (<b>g</b>,<b>h</b>) lymphohistiocytic infiltrates perivascularly and in the interstitium (<b>g</b>) in a patient with DCM within laminopathy, fatty tissue replacement of dead cardiomyocytes (<b>h</b>); (<b>i</b>,<b>j</b>) SARS-CoV-2-induced myocarditis in a patient with RCM caused by pathogenic or likely pathogenic variants in <span class="html-italic">MyBPC3</span> and <span class="html-italic">LZTR1</span> genes: marked lymphohistiocytic infiltration, areas of lipomatosis, dystrophic changes in cardiomyocytes; (<b>k</b>,<b>l</b>) Ab to SARS-CoV-2 nucleocapsid (<b>k</b>) and spike antigen (<b>l</b>). (<b>a</b>–<b>c</b>,<b>e</b>–<b>j</b>)—haematoxylin and eosin staining; (<b>d</b>)—Van Gieson picrofuchsin staining; (<b>k</b>,<b>l</b>)—immunohistochemical study; (<b>a</b>,<b>f</b>)—low magnification; (<b>b</b>–<b>e</b>,<b>g</b>–<b>l</b>)—high magnification.</p>
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<p>Titres of anti-cardiac antibodies in different cardiomyopathies, depending on the presence (M+) or absence (M−) of myocarditis; * - <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Kaplan–Meier curves for different genetic cardiomyopathies, depending on the presence or absence of myocarditis. Red colour—patients with a combination of cardiomyopathy and myocarditis, blue colour—patients with isolated cardiomyopathies.</p>
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<p>Spectrum of genes with pathogenic or likely pathogenic variants in different cardiomyopathies, depending on the presence (M+) or absence (M−) of myocarditis.</p>
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<p>Frequency of myocarditis in different causes of myocardial hypertrophy syndrome.</p>
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<p>Frequency of superimposed myocarditis, depending on the type of cardiomyopathy.</p>
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11 pages, 1802 KiB  
Article
Diagnostic Efficacy of 123Iodo-Metaiodobenzylguanidine SPECT/CT in Cardiac vs. Neurological Diseases: A Comparative Study of Arrhythmogenic Right Ventricular Cardiomyopathy and α-Synucleinopathies
by Johannes M. Hagen, Maximilian Scheifele, Mathias J. Zacherl, Sabrina Katzdobler, Alexander Bernhardt, Matthias Brendel, Johannes Levin, Günter U. Höglinger, Sebastian Clauß, Stefan Kääb, Andrei Todica, Guido Boening and Maximilian Fischer
Diagnostics 2025, 15(1), 24; https://doi.org/10.3390/diagnostics15010024 - 26 Dec 2024
Viewed by 519
Abstract
Background/Objectives: 123Iodo-metaiodobenzylguanidine single photon emission computed tomography/computed tomography (123I-MIBG SPECT/CT) is used to evaluate the cardiac sympathetic nervous system in cardiac diseases such as arrhythmogenic right ventricular cardiomyopathy (ARVC) and α-synucleinopathies such as Parkinson’s diseases. A common feature of [...] Read more.
Background/Objectives: 123Iodo-metaiodobenzylguanidine single photon emission computed tomography/computed tomography (123I-MIBG SPECT/CT) is used to evaluate the cardiac sympathetic nervous system in cardiac diseases such as arrhythmogenic right ventricular cardiomyopathy (ARVC) and α-synucleinopathies such as Parkinson’s diseases. A common feature of these diseases is denervation. We aimed to compare quantitative and semi-quantitative cardiac sympathetic innervation using 123I-MIBG imaging of ARVC and α-synucleinopathies. Methods: Cardiac innervation was assessed using 123I-MIBG SPECT/CT in 20 patients diagnosed with definite ARVC and 8 patients with clinically diagnosed α-synucleinopathies. Heart-to-mediastinum-ratio (H/M-ratio), as semi-quantitative, was evaluated. Additionally, standardized uptake value (SUV), as quantitative, was measured as SUVmedian, SUVmax, and SUVpeak in the left ventricle (LV), the right ventricle (RV), and in the global heart, based on a CT scan following quantitative image reconstruction. Results: The quantification of 123I-MIBG uptake in the LV, the RV, and the global heart was feasible in patients suffering from α-synucleinopathies. SUVmedian, and SUVpeak demonstrated a significant difference between ARVC and α-synucleinopathies across all regions, with the α-synucleinopathy group showing a lower uptake. In addition, the H/M ratio showed significantly lower uptake in patients with α-synucleinopathies than in patients with ARVC. Conclusions: Patients with α-synucleinopathies demonstrate significantly lower cardiac innervation in semi-quantitative and quantitative examinations than ARVC patients. The comparison of semi-quantitative and quantitative examinations suggests that quantitative examination offers an advantage. Quantitative analysis can be performed separately for the LV, RV, and global heart. However, analyzing the LV or RV does not provide additional benefit over analyzing the global heart in distinguishing between α-synucleinopathies and ARVC. Considering the different clinical manifestations of these two diseases, the absolute SUV values should not be generalized across different pathologies, and disease-specific ranges should be used instead. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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<p>Image processing. The figure presents a patient with neurodegenerative disease.</p>
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<p>Comparison of the LV-SUV<sub>median</sub> (<b>a</b>), LV-SUV<sub>max</sub> (<b>b</b>), and LV-SUV<sub>peak</sub> (<b>c</b>) between the ARVC group (<span class="html-italic">N</span> = 20) and the group of α-synucleinopathies (<span class="html-italic">N</span> = 8). The <span class="html-italic">t</span>-test showed significant differences in all categories. The gray crossbar represents the mean.</p>
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<p>Comparison of the RV-SUV<sub>median</sub> (<b>a</b>), RV-SUV<sub>max</sub> (<b>b</b>), and RV-SUV<sub>peak</sub> (<b>c</b>) between the ARVC group (<span class="html-italic">N</span> = 20) and the group of α-synucleinopathies (<span class="html-italic">N</span> = 8). The <span class="html-italic">t</span>-test showed significant differences in RV-SUV<sub>median</sub> and RV-SUV<sub>peak</sub> but not in RV-SUV<sub>max</sub>. The gray crossbar represents the mean.</p>
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<p>Comparison of the heart-SUV<sub>median</sub> (<b>a</b>), heart-SUV<sub>max</sub> (<b>b</b>), and heart-SUV<sub>peak</sub> (<b>c</b>) between the ARVC (<span class="html-italic">N</span> = 20) group and the group of α-synucleinopathies (<span class="html-italic">N</span> = 8). The <span class="html-italic">t</span>-test showed significant differences in all categories. The gray crossbar represents the mean.</p>
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<p>Comparison of the H/M ratio between the ARVC group (<span class="html-italic">N</span> = 20) and the group of α-synucleinopathies (<span class="html-italic">N</span> = 8). The <span class="html-italic">t</span>-test showed a significant difference. The gray crossbar represents the mean.</p>
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14 pages, 1913 KiB  
Article
Prognostic Value of Strain by Speckle Tracking Echocardiography in Patients with Arrhythmogenic Right Ventricular Cardiomyopathy
by Areej Aljehani, Kyaw Zaw Win, Shanat Baig, Manish Kalla, Bode Ensam, Larissa Fabritz and Richard P. Steeds
J. Cardiovasc. Dev. Dis. 2024, 11(12), 388; https://doi.org/10.3390/jcdd11120388 - 3 Dec 2024
Viewed by 852
Abstract
Background Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a rare genetic disorder associated with an elevated risk of life-threatening arrhythmias and progressive ventricular impairment. Risk stratification is essential to prevent major adverse cardiac events (MACE). Our study aimed to investigate the incremental value of [...] Read more.
Background Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a rare genetic disorder associated with an elevated risk of life-threatening arrhythmias and progressive ventricular impairment. Risk stratification is essential to prevent major adverse cardiac events (MACE). Our study aimed to investigate the incremental value of strain measured by two-dimensional speckle-tracking echocardiography in predicting MACE in ARVC patients compared to conventional echocardiographic parameters. Methods and Results This was a retrospective, single-centre cohort study of 83 patients with ARVC (51% males, median age 37 years (IQR: 23, 53)) under the care of the Inherited Cardiac Conditions clinic at University Hospital Birmingham. MACE was defined as one of the following: sustained ventricular tachycardia (Sus VT), ventricular fibrillation (VF), appropriate implantable cardio-defibrillator (ICD) therapy [shock/anti-tachycardia pacing (ATP)], heart failure (defined as decompensated heart failure, cardiac index by heart catheter, HF medication, and symptoms), cardiac transplantation, or cardiac death. Echocardiography images were analysed by a single observer for right ventricle (RV) and left ventricular (LV) global longitudinal strain (GLS). Multivariable Cox regression was performed in combination with RV fractional area change and tricuspid annular plane systolic excursion. During three years of follow-up, 12% of patients suffered a MACE. ARVC patients with MACE had significantly reduced RV GLS (−13 ± 6% vs. −23 ± 6%, p < 0.001) and RV free wall longitudinal strain (−15 ± 5% vs. −25 ± 7%, p < 0.001) compared to those without MACE. Conclusions Right ventricular free wall longitudinal strain (RVFWLS) may be a more sensitive predictor of MACE than conventional echocardiographic parameters of RV function. Moreover, RV-free wall longitudinal strain may have superior predictive value compared to RV GLS. Full article
(This article belongs to the Special Issue Ventricular Arrhythmias: Epidemiology, Diagnosis and Treatment)
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<p>Patients referred to UHB with definite and non-definite ARVC.</p>
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<p>Boxplot of RV-FAC in patients with and without MACE.</p>
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<p>Boxplot of TAPSE in patients with and without MACE.</p>
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<p>Boxplot of RVFWLS in patients with and without MACE.</p>
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<p>Boxplot of RVGLS in patients with and without MACE.</p>
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<p>Boxplot of LVGLS in patients with and without MACE.</p>
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16 pages, 7521 KiB  
Review
Advances in Cardiac Imaging and Genetic Testing for Diagnosis and Risk Stratification in Cardiomyopathies: 2024 Update
by Tomasz Gasior
J. Clin. Med. 2024, 13(23), 7166; https://doi.org/10.3390/jcm13237166 - 26 Nov 2024
Cited by 1 | Viewed by 1588
Abstract
Cardiomyopathies represent a diverse group of heart muscle diseases marked by structural and functional abnormalities that are not primarily caused by coronary artery disease. Recent advances in non-invasive imaging techniques, such as echocardiography, cardiac magnetic resonance, and computed tomography, have transformed diagnostic accuracy [...] Read more.
Cardiomyopathies represent a diverse group of heart muscle diseases marked by structural and functional abnormalities that are not primarily caused by coronary artery disease. Recent advances in non-invasive imaging techniques, such as echocardiography, cardiac magnetic resonance, and computed tomography, have transformed diagnostic accuracy and risk stratification, reemphasizing the role of cardiac imaging in diagnosis, phenotyping, and management of these conditions. Genetic testing complements imaging by clarifying inheritance patterns, assessing sudden cardiac death risk, and informing therapeutic choices. Integrating imaging data, such as left ventricular wall thickness, fibrosis, and apical aneurysms, with genetic findings enhances decision-making for implantable cardioverter-defibrillators in high-risk patients. Emerging technologies like artificial intelligence, strain imaging, and molecular imaging, alongside genetic testing, hold the promise of further refining diagnosis and personalized treatment approaches. This article summarizes the current state and future perspectives of cardiac imaging and genetic testing for diagnosis and risk stratification in cardiomyopathies, offering practical insights for patients’ management. Full article
(This article belongs to the Special Issue Clinical Updates on Cardiomyopathies and Heart Failure)
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<p>Transthoracic echocardiogram in patient with hypertrophic cardiomyopathy. Asymmetric septal hypertrophy.</p>
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<p>Longitudinal left ventricular strain assessment in patient with hypertrophic cardiomyopathy. Two-dimensional transthoracic echocardiogram. Moderately reduced strain (−13.9%).</p>
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<p>Arrhythmogenic right ventricular cardiomyopathy. Two-dimensional Transthoracic echocardiogram.</p>
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<p>Longitudinal left ventricular strain assessment in patient with arrhythmogenic right ventricular cardiomyopathy. Very low right ventricular wall longitudinal strain (−10.8%).</p>
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<p><b>Left</b>: Hypertrophic cardiomyopathy with asymmetric septal hypertrophy in cardiac magnetic resonance. Horizontal view. <b>Middle</b>: Arrhythmogenic right ventricular cardiomyopathy in magnetic resonance. Horizontal view. <b>Right</b>: Arrhythmogenic right ventricular cardiomyopathy in cardiac magnetic resonance Sagittal view.</p>
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<p>Cardiac tomography. Hypertrophic cardiomyopathy with large concentric left ventricular hyperthrophy.</p>
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15 pages, 3313 KiB  
Article
Prevalence and Correlates of Anti-DSG2 Antibodies in Arrhythmogenic Right Ventricular Cardiomyopathy and Myocarditis: Immunological Insights from a Multicenter Study
by Andrea Silvio Giordani, Elena Pontara, Cristina Vicenzetto, Anna Baritussio, Maria Grazia Peloso Cattini, Elisa Bison, Federica Re, Renzo Marcolongo, Shaylyn Joseph, Diptendu Chatterjee, Meena Fatah, Robert M. Hamilton and Alida Linda Patrizia Caforio
J. Clin. Med. 2024, 13(22), 6736; https://doi.org/10.3390/jcm13226736 - 8 Nov 2024
Cited by 1 | Viewed by 978
Abstract
Background: Autoantibodies against Desmoglein-2 desmosomal protein (anti-DSG2-ab) were identified in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) by Enzyme-Linked ImmunoSorbent Assay (ELISA); anti-intercalated disk autoantibodies (AIDAs) were identified in myocarditis and (ARVC) by indirect immunofluorescence (IFL). We aim to assess: (1) anti-DSG2-ab specificity in ARVC [...] Read more.
Background: Autoantibodies against Desmoglein-2 desmosomal protein (anti-DSG2-ab) were identified in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) by Enzyme-Linked ImmunoSorbent Assay (ELISA); anti-intercalated disk autoantibodies (AIDAs) were identified in myocarditis and (ARVC) by indirect immunofluorescence (IFL). We aim to assess: (1) anti-DSG2-ab specificity in ARVC and myocarditis, (2) accuracy of anti-DSG2-ab detection by ELISA versus AIDA by IFL, and (3) clinical correlates of anti-DSG2-ab in ARVC. Methods: We included 77 patients with ARVC, 91 with myocarditis/dilated cardiomyopathy (DCM), 27 with systemic immune-mediated diseases, and 50 controls. Anti-heart antibodies (AHAs) and AIDAs were assessed by IFL, and anti-DSG2-ab by ELISA (assessed both by optical density, OD, and U/L). Receiving operator curve (ROC) analysis was used to assess ELISA diagnostic accuracy. Results: A relevant proportion (56%) of ARVC patients was anti-DSG2-ab-positive, with higher anti-DSG2-ab levels than controls. Anti-DSG2-ab titer was not different between ARVC and myocarditis/DCM patients (48% anti-DSG-ab positive). Frequency of anti-DSG2 positivity by ELISA was higher in AIDA-positive cases by IFL than AIDA-negative cases (p = 0.039 for OD, p = 0.023 for U/L). In ARVC, AIDA-positive patients were more likely to be AHA-positive (p < 0.001), had pre-syncope (p = 0.025), and abnormalities in cardiac rhythm (p = 0.03) than ARVC AIDA-negative patients, while anti-DSG2-ab positivity did not have clinical correlates. Conclusions: Anti-DG2-ab detection in ARVC and myocarditis/DCM reflects immune-mediated pathogenesis to desmosomal proteins. Higher frequency of anti-DSG2-ab positivity by ELISA by U/L was higher in AIDA-positive cases by IFL than AIDA-negative cases, in keeping with the hypothesis that DSG2 is one of AIDA autoantigens. In ARVC, AIDA status but not anti-DSG2-ab showed distinct clinical correlates, possibly reflecting a wider AIDA autoantigenic spectrum. Full article
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<p>Anti-DSG-2-ab levels according to patients’ diagnostic group (i.e., healthy controls, ARVC, myocarditis/DCM, and autoimmune extracardiac diseases), evaluated as optical density (OD). The horizontal lines indicate the result of comparison of anti-DSG2-ab levels according to diagnostic group; anti-DSG2-ab levels were significantly higher in ARVC patients than healthy controls (<span class="html-italic">p</span> = 0.042). Legend: Anti-DSG2-ab: anti-Desmoglein-2 antibody, ARVC: arrhythmogenic right ventricular cardiomyopathy, Autoimmune dis: autoimmune extracardiac diseases, Myoc/DCM: Myocarditis/Dilated Cardiomyopathy, N.S.: non-significant, OD: optical density, <span class="html-italic">p</span>: <span class="html-italic">p</span>-value.</p>
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<p>Anti-DSG-2-ab levels according to patients’ diagnostic group (i.e., healthy controls, ARVC, myocarditis/DCM, and autoimmune extracardiac diseases), evaluated as U/L. The horizontal lines indicate the result of comparison of anti-DSG2-ab levels according to diagnostic group; anti-DSG2-ab levels were significantly higher in ARVC patients than healthy controls (<span class="html-italic">p</span> = 0.019). Legend: Anti-DSG2 ab: anti-Desmoglein-2 antibody, ARVC: arrhythmogenic right ventricular cardiomyopathy, Autoimmune dis: autoimmune extracardiac diseases, Myoc/DCM: Myocarditis/Dilated Cardiomyopathy, N.S.: non-significant, <span class="html-italic">p</span>: <span class="html-italic">p</span>-value.</p>
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<p>Standard ROC (Receiving Operator Curve) curve for anti-DSG2-antibodies, expressed as U/L, in the whole study cohort (N = 245). The Area Under the Curve (AUC) value indicates a sufficient diagnostic accuracy of anti-DSG2-ab detection by Enzyme-Linked ImmunoSorbent Assay (ELISA) with respect to anti-intercalated disk autoantibodies (AIDAs) by indirect immunofluorescence (IFL). Legend: AIDA: anti-intercalated disk antibody, AUC = area under the curve, anti-DSG2 ab: anti-Desmoglein-2 antibody.</p>
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<p>AIDA-positive pattern by Indirect Immunofluorescence (IFL). Panel (<b>A</b>) shows a negative control serum on human atrial tissue by IFL (×200). No staining is present on cardiomyocytes or intercalated disks. Panel (<b>B</b>) shows a positive linear AIDA staining pattern of the intercalated disks (arrows) on human atrial tissue by IFL (×200). No staining is present on cardiomyocytes.</p>
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40 pages, 1289 KiB  
Review
Unveiling the Spectrum of Minor Genes in Cardiomyopathies: A Narrative Review
by Caterina Micolonghi, Federica Perrone, Marco Fabiani, Silvia Caroselli, Camilla Savio, Antonio Pizzuti, Aldo Germani, Vincenzo Visco, Simona Petrucci, Speranza Rubattu and Maria Piane
Int. J. Mol. Sci. 2024, 25(18), 9787; https://doi.org/10.3390/ijms25189787 - 10 Sep 2024
Cited by 1 | Viewed by 1592
Abstract
Hereditary cardiomyopathies (CMPs), including arrhythmogenic cardiomyopathy (ACM), dilated cardiomyopathy (DCM), and hypertrophic cardiomyopathy (HCM), represent a group of heart disorders that significantly contribute to cardiovascular morbidity and mortality and are often driven by genetic factors. Recent advances in next-generation sequencing (NGS) technology have [...] Read more.
Hereditary cardiomyopathies (CMPs), including arrhythmogenic cardiomyopathy (ACM), dilated cardiomyopathy (DCM), and hypertrophic cardiomyopathy (HCM), represent a group of heart disorders that significantly contribute to cardiovascular morbidity and mortality and are often driven by genetic factors. Recent advances in next-generation sequencing (NGS) technology have enabled the identification of rare variants in both well-established and minor genes associated with CMPs. Nowadays, a set of core genes is included in diagnostic panels for ACM, DCM, and HCM. On the other hand, despite their lesser-known status, variants in the minor genes may contribute to disease mechanisms and influence prognosis. This review evaluates the current evidence supporting the involvement of the minor genes in CMPs, considering their potential pathogenicity and clinical significance. A comprehensive analysis of databases, such as ClinGen, ClinVar, and GeneReviews, along with recent literature and diagnostic guidelines provides a thorough overview of the genetic landscape of minor genes in CMPs and offers guidance in clinical practice, evaluating each case individually based on the clinical referral, and insights for future research. Given the increasing knowledge on these less understood genetic factors, future studies are essential to clearly assess their roles, ultimately leading to improved diagnostic precision and therapeutic strategies in hereditary CMPs. Full article
(This article belongs to the Special Issue Genetic Research in Cardiac Diseases)
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<p>Representation of genes associated with ACM, DCM, and HCM. The circle sections are color-coded, with orange nuances indicating definitive classification and gray nuances indicating minor (moderate and/or limited) classification. Underlined genes are implicated in more conditions.</p>
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<p>Distribution of VUS and P/LP variants in minor genes reported in ClinVar [<a href="#B47-ijms-25-09787" class="html-bibr">47</a>] in ACM, DCM, and HCM cases. The bars are color-coded, with red indicating P/LP variants and gray indicating variants of uncertain significance. The background colors represent the ClinGen [<a href="#B45-ijms-25-09787" class="html-bibr">45</a>,<a href="#B47-ijms-25-09787" class="html-bibr">47</a>] classification for each gene: orange for moderate, yellow for limited, and light gray for not associated.</p>
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13 pages, 2940 KiB  
Project Report
Correlation between Epsilon Wave and Late Potentials in Arrhythmogenic Right Ventricular Cardiomyopathy—Do Late Potentials Define the Epsilon Wave?
by Urszula Skrzypczyńska-Banasik, Olgierd Woźniak, Ilona Kowalik, Aneta Fronczak-Jakubczyk, Karolina Borowiec, Piotr Hoffman and Elżbieta Katarzyna Biernacka
J. Clin. Med. 2024, 13(17), 5038; https://doi.org/10.3390/jcm13175038 - 25 Aug 2024
Viewed by 1203
Abstract
Introduction: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic disorder characterised by progressive fibrosis predominantly of the right ventricular (RV) myocardium, resulting in life-threatening arrhythmias and heart failure. The diagnosis is challenging due to a wide spectrum of clinical symptoms. The important [...] Read more.
Introduction: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic disorder characterised by progressive fibrosis predominantly of the right ventricular (RV) myocardium, resulting in life-threatening arrhythmias and heart failure. The diagnosis is challenging due to a wide spectrum of clinical symptoms. The important role of ECG was covered in the current diagnostic criteria. The role of the epsilon wave (EW) is still under discussion. Aim: The aim of the study was to examine a potential association between the EW and late ventricular potentials (LPs) in ARVC patients (pts). The correlation between RV dilatation or dysfunction and LPs/EW was also analysed. Methods: The ARVC group consisted of 81 pts (53 men, aged 20–78 years) fulfilling 2010 International Task Force Criteria. 12-lead ECG, LPs, Holter, and ECHO were performed in all pts. The presence of EW was analysed in ECG by 3 investigators. LPs were detected by signal-averaged ECG (SAECG). SAECG was considered positive for LPs when at least two of the three following criteria were met: (1) the filtered QRS duration (fQRS) ≥ 114 msec; (2) the duration of the final QRS fragment in which low-amplitude signals lower than 40 μV are recorded (LAS-40 > 38 msec); and (3) the root mean square amplitude of the last 40 milliseconds of the fQRS complex (RMS-40 < 20 μV). The results were compared with a reference group consisting of 53 patients with RV damage in the course of atrial septum defect (ASD) or Ebstein’s Anomaly (EA). Results: In the ARVC group, a significant relationship was observed between the occurrence of EW and the presence of LPs. EW was more common in the LP+ than in the LP- patients (48.1% vs. 6.9%, p < 0001; OR 12.5; 95% CI [2.691–58.063]). In ARVC pts, RVOT > 36 mm, RVIT > 41 mm, and RV S’ < 9 cm/s were observed significantly more often in the LPs+ than in the LPs− group (OR [95% CI]: 8.3 [2.9–1.5], 6.4 [2.2–19.0] and 3.6 [1.1–12.2], respectively). In the ARVC group, any of fQRS > 114 ms, LAS > 38 ms, and RMS < 20 μV were significantly more frequent in EW+ pts. In multivariate analysis, the independent factors of the EW were LAS-40 and RV S’. In the LPs− subgroup, RVOT > 36 mm was more frequent in ASD/EA than in ARVC (70.4% vs. 25%, p = 0.002). Similarly, in the LPs− subgroup, RVIT > 41 mm was encountered more frequently in ASD/EA than in ARVC (85.2% vs. 48.3%, p = 0.004). Conclusions: In ARVC, there is an association between EW and LPs, with both probably resulting from the same process of fibrofatty substitution of the RV myocardium. Although RV dilatation is common in ASD and EA, it does not correlate with LPs. Full article
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<p>Registration of (<b>A</b>) standard 12-lead ECG and (<b>B</b>) SAECG in an ARVC (EW+, LP+) patient. The arrows indicate epsilon waves (<b>A</b>) and late potentials (<b>B</b>).</p>
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<p>Prevalence of EW and its association with LPs in ARVC and ASD/EA.</p>
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<p>Prevalence of RVOT &gt; 36 mm and association between RVOT diameter and LPs in ARVC and ASD/EA (homogeneity of OR: <span class="html-italic">p</span> = 0.049).</p>
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<p>Prevalence of RVIT &gt; 41 mm and association between RVIT diameter and LPs in ARVC and ASD/EA (homogeneity of OR: <span class="html-italic">p</span> = 0.015).</p>
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<p>Prevalence of RV S’ &lt; 9 cm/s and association between RV S’ and LPs in ARVC and ASD/EA groups (homogeneity of OR: <span class="html-italic">p</span> = 0.049).</p>
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<p>Multivariable logistic regression results for the occurrence of EW.</p>
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<p>Comparison of ROC curves diagnosing the usefulness of explanatory variables in the model defining the occurrence of EW (dependent variable).</p>
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18 pages, 1668 KiB  
Review
Cardiomyopathy and Sudden Cardiac Death: Bridging Clinical Practice with Cutting-Edge Research
by Raffaella Mistrulli, Armando Ferrera, Luigi Salerno, Federico Vannini, Leonardo Guida, Sara Corradetti, Lucio Addeo, Stefano Valcher, Giuseppe Di Gioia, Francesco Raffaele Spera, Giuliano Tocci and Emanuele Barbato
Biomedicines 2024, 12(7), 1602; https://doi.org/10.3390/biomedicines12071602 - 18 Jul 2024
Cited by 2 | Viewed by 2136
Abstract
Sudden cardiac death (SCD) prevention in cardiomyopathies such as hypertrophic (HCM), dilated (DCM), non-dilated left ventricular (NDLCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC) remains a crucial but complex clinical challenge, especially among younger populations. Accurate risk stratification is hampered by the variability in [...] Read more.
Sudden cardiac death (SCD) prevention in cardiomyopathies such as hypertrophic (HCM), dilated (DCM), non-dilated left ventricular (NDLCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC) remains a crucial but complex clinical challenge, especially among younger populations. Accurate risk stratification is hampered by the variability in phenotypic expression and genetic heterogeneity inherent in these conditions. This article explores the multifaceted strategies for preventing SCD across a spectrum of cardiomyopathies and emphasizes the integration of clinical evaluations, genetic insights, and advanced imaging techniques such as cardiac magnetic resonance (CMR) in assessing SCD risks. Advanced imaging, particularly CMR, not only enhances our understanding of myocardial architecture but also serves as a cornerstone for identifying at-risk patients. The integration of new research findings with current practices is essential for advancing patient care and improving survival rates among those at the highest risk of SCD. This review calls for ongoing research to refine risk stratification models and enhance the predictive accuracy of both clinical and imaging techniques in the management of cardiomyopathies. Full article
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<p>Comparison between European and American guidelines for SCD prevention in HCM patients. CMR: cardiac magnetic resonance; EF: ejection fraction; FH: family history of sudden cardiac death; LVH: left ventricular hypertrophy; LGE: late gadolinium enhancement; and NSVT: non-sustained ventricular tachycardia.</p>
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<p>Established and emerging risk factors for sudden cardiac death in dilated cardiomyopathy. LMNA, lamin A/C; DSP, desmoplakin; PLN, phospholamban; FLNC, filamin C; RBM20, RNA-binding motif protein 20; DES, desmin; TTN, titin; LGE, late gadolinium enhancement; ECG, electrocardiogram; NSVT: non-sustained ventricular tachycardia; VE, premature ventricular complexes; PES, programmed electrical stimulation; LVEF, left ventricular ejection fraction; NT-proBNP, N-terminal pro-B-type natriuretic peptide; and SCD, sudden cardiac death.</p>
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<p>Established and emerging risk factors for sudden cardiac death in arrhythmogenic right ventricular cardiomyopathy. DSP, desmoplakin; TMEM43, transmembrane protein 43; LMNA, lamin A/C; PLN, phospholamban; CMR, cardiac magnetic resonance; LV, left ventricular; RV, right ventricular; ECG, electrocardiogram; NSVT; non-sustained ventricular tachycardia; VE, premature ventricular complexes; VT, ventricular tachycardia; and PES, programmed electrical stimulation.</p>
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<p>Overlapping genetic background in cardiomyopathies. * The list is not exhaustive. ARVC, arrhythmogenic right ventricular cardiomyopathy; DCM, dilated cardiomyopathy; DES, desmin; DSG, desmoglein; DSP, desmoplakin; FLNC, filamin C; JUP, plakoglobin; LMNA, lamin A/C; NDLVC, non-dilated left ventricular cardiomyopathy; PKP, plakophilin; PLN, phospholamban; TMEM43, transmembrane protein 43; RBM20, RNA-binding motif protein 20; and SCN5A, sodium channel protein type 5.</p>
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2 pages, 430 KiB  
Interesting Images
Ventricular Angiography: A Forgotten Diagnostic Tool?
by Georgiana Pintea Bentea, Brahim Berdaoui, Sophie Samyn, Marielle Morissens and Jose Castro Rodriguez
Diagnostics 2024, 14(13), 1434; https://doi.org/10.3390/diagnostics14131434 - 5 Jul 2024
Viewed by 910
Abstract
A 76-year-old male patient presented to the emergency room with acute decompensated right heart failure and presyncope episodes. Upon admission, his electrocardiogram (ECG) showed sustained monomorphic ventricular tachycardia at 180 bpm, which was electrically cardioverted, and the patient was subsequently admitted to the [...] Read more.
A 76-year-old male patient presented to the emergency room with acute decompensated right heart failure and presyncope episodes. Upon admission, his electrocardiogram (ECG) showed sustained monomorphic ventricular tachycardia at 180 bpm, which was electrically cardioverted, and the patient was subsequently admitted to the intensive care unit. The echocardiography showed a very dilated right ventricle (RV) with global systolic dysfunction and akinetic anterior and lateral walls. The coronary angiography was normal. The cardiac magnetic resonance showed signs of fibro-fatty replacement of the RV myocardium. Furthermore, the ECG after cardioversion showed inverted T waves and an epsilon wave in V1–V3 leads and late potentials by signal-averaged ECG. As such, a diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC) was suspected. However, he presented no familial history of ARVC, was 76 years of age at the time of diagnosis and was asymptomatic until now. Given these considerations, we performed a right ventricular angiography which showed dilatation of the RV with akinetic/dyskinetic bulging, creating the “pile d’assiettes” image suggestive of ARVC. In the case of this patient, the RV angiography contributed to establish a diagnosis of ARVC with a very late presentation, to our knowledge the latest presentation in terms of age described in the literature. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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<p>Right ventricular angiography showing dilatation of the right ventricle with akinetic/dyskinetic bulgings, creating the “pile d’assiettes” image suggestive of arrhythmogenic right ventricular cardiomyopathy. A 76-year-old male patient with past history of chronic obstructive pulmonary disease, right iliac artery stenting, dyslipidaemia, high blood pressure and previous smoking, presented to the emergency department of our institution with chest tightness, signs and symptoms of acute decompensated right heart failure and presyncope episodes. Upon admission, his electrocardiogram (ECG) showed sustained monomorphic ventricular tachycardia at 180 bpm, with left bundle branch morphology and a superior axis, which was electrically cardioverted, and the patient was subsequently admitted to the intensive care unit. The troponin (601 ng/L) and NTproBNP (24,019 ng/L) levels were elevated, the echocardiography showed a very dilated right ventricle (RV) (a diameter of the RV outflow track in end-diastole of 44 mm in parasternal short axis view) with global systolic dysfunction and akinetic anterior and lateral walls. The coronary angiography was normal. The cardiac magnetic resonance (CMR) confirmed global RV dysfunction with regional akinesia and aneurysms and showed signs of fibro-fatty replacement of the RV myocardium. There were no left ventricular abnormalities identified by echocardiography or CMR. Furthermore, the ECG after cardioversion showed inverted T waves and an epsilon wave in V1-V3 leads, in the absence of right bundle branch block and late potentials by signal-averaged ECG. As such, the patient presented criteria for the diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC) as described by the 2020 “Padua Criteria” for the diagnosis of ARVC [<a href="#B1-diagnostics-14-01434" class="html-bibr">1</a>], recently revised by the 2024 European Task Force consensus report [<a href="#B2-diagnostics-14-01434" class="html-bibr">2</a>]. However, he presented no familial history of ARVC, was 76 years of age at the time of diagnosis and was asymptomatic until now. Given these considerations, we performed a right ventricular angiography which showed dilatation of the RV with akinetic/dyskinetic bulging, creating the “pile d’assiettes” image suggestive of ARVC (<a href="#app1-diagnostics-14-01434" class="html-app">Video S1</a>). The RV angiography has a diagnostic specificity of more than 90% [<a href="#B3-diagnostics-14-01434" class="html-bibr">3</a>] and was considered the gold standard diagnostic exam for ARVC, particularly before the era of advancements in cardiac magnetic resonance imaging [<a href="#B4-diagnostics-14-01434" class="html-bibr">4</a>], while more recent studies on this subject are sparse. In the case of this patient, the RV angiography contributed to establish a diagnosis of ARVC with a very late presentation, to our knowledge the latest presentation in terms of age described in the literature. Subsequently, the patient was implanted with a defibrillator, and his family benefited from screening.</p>
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16 pages, 4154 KiB  
Article
Diagnostic and Prognostic Value of Right Ventricular Fat Quantification from Computed Tomography in Arrhythmogenic Right Ventricular Cardiomyopathy
by Valentina Faga, María Ruiz Cueto, David Viladés Medel, Zoraida Moreno-Weidmann, Paolo D. Dallaglio, Carles Diez Lopez, Gerard Roura, Jose M. Guerra, Rubén Leta Petracca, Joan Antoni Gomez-Hospital, Josep Comin Colet, Ignasi Anguera and Andrea Di Marco
J. Clin. Med. 2024, 13(13), 3674; https://doi.org/10.3390/jcm13133674 - 24 Jun 2024
Viewed by 1239
Abstract
Background: In arrhythmogenic right ventricular cardiomyopathy (ARVC) non-invasive scar evaluation is not included among the diagnostic criteria or the predictors of ventricular arrhythmias (VA) and sudden death (SD). Computed tomography (CT) has excellent spatial resolution and allows a clear distinction between myocardium and [...] Read more.
Background: In arrhythmogenic right ventricular cardiomyopathy (ARVC) non-invasive scar evaluation is not included among the diagnostic criteria or the predictors of ventricular arrhythmias (VA) and sudden death (SD). Computed tomography (CT) has excellent spatial resolution and allows a clear distinction between myocardium and fat; thus, it has great potential for the evaluation of myocardial scar in ARVC. Objective: The objective of this study is to evaluate the feasibility, and the diagnostic and prognostic value of semi-automated quantification of right ventricular (RV) fat replacement from CT images. Methods: An observational case–control study was carried out including 23 patients with a definite (19) or borderline (4) ARVC diagnosis and 23 age- and sex-matched controls without structural heart disease. All patients underwent contrast-enhanced cardiac CT. RV images were semi-automatically reconstructed with the ADAS-3D software (ADAS3D Medical, Barcelona, Spain). A fibrofatty scar was defined as values of Hounsfield Units (HU) <−10. Within the scar, a border zone (between −10 HU and −50 HU) and dense scar (<−50 HU) were distinguished. Results: All ARVC patients had an RV scar and all scar-related measurements were significantly higher in ARVC cases than in controls (p < 0.001). The total scar area and dense scar area showed no overlapping values between cases and controls, achieving perfect diagnostic performance (sensitivity and specificity of 100%). Among ARVC patients, 16 (70%) had experienced sustained VA or aborted SD. Among all clinical, ECG and imaging parameters, the dense scar area was the only one with a statistically significant association with VA and SD (p = 0.003). Conclusions: In ARVC, RV myocardial fat quantification from CT is feasible and may have considerable diagnostic and prognostic value. Full article
(This article belongs to the Special Issue Cardiac Imaging: Current Applications and Future Perspectives)
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<p>Panel (<b>A</b>) shows CT image of a patient with ARVC; the RV is dilated plus wall thinning and hypoattenuations of the RV lateral wall are clearly visible. Panel (<b>B</b>) shows the RV border drawn by ADAS-3D used to calculate scar parameters. The colours of the border indicate the type of myocardial tissue: blue is healthy myocardium, red is dense scar, white-orange is border zone.</p>
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<p>Examples of RV reconstructions with ADAS 3D in two patients with definite diagnosis of ARVC, one with (panels (<b>A</b>–<b>C</b>)) and the other without (panels (<b>D</b>–<b>F</b>)) prior to VA. Panels (<b>G</b>–<b>I</b>) are from a control. Right anterior oblique views (<b>A</b>,<b>D</b>,<b>G</b>), antero-posterior views (<b>B</b>,<b>E</b>,<b>H</b>) and inferior views (<b>C</b>,<b>F</b>,<b>I</b>).</p>
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<p>Box plot graphs comparing scar parameters between controls and ARVC cases. The yellow dotted horizontal bar highlights the difference between the minimum value of ARVC cases and the maximum value of controls, whenever this difference is greater than zero.</p>
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<p>Segmentation of the RV into 8 segments. The percentages of patients with a scar in every RV segment are detailed.</p>
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14 pages, 1155 KiB  
Review
Exploring the Therapeutic Potential of Gene Therapy in Arrhythmogenic Right Ventricular Cardiomyopathy
by Juan Mundisugih, Dhanya Ravindran and Eddy Kizana
Biomedicines 2024, 12(6), 1351; https://doi.org/10.3390/biomedicines12061351 - 18 Jun 2024
Cited by 4 | Viewed by 2135
Abstract
Right dominant arrhythmogenic cardiomyopathy, commonly known as Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC), represents a formidable challenge in cardiovascular medicine, as conventional therapies are commonly ineffective in impeding disease progression and the development of end-stage heart failure. Recombinant adeno-associated virus (AAV)-mediated gene therapy presents [...] Read more.
Right dominant arrhythmogenic cardiomyopathy, commonly known as Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC), represents a formidable challenge in cardiovascular medicine, as conventional therapies are commonly ineffective in impeding disease progression and the development of end-stage heart failure. Recombinant adeno-associated virus (AAV)-mediated gene therapy presents a promising avenue for targeted therapeutic interventions, potentially revolutionising treatment approaches for ARVC patients. Encouraging results from preclinical studies have sparked optimism about the possibility of curing specific subtypes of ARVC in the near future. This narrative review delves into the dynamic landscape of genetic therapy for ARVC, elucidating its underlying mechanisms and developmental stages, and providing updates on forthcoming trials. Additionally, it examines the hurdles and complexities impeding the successful translation of ARVC genetic therapies into clinical practice. Despite notable scientific advancements, the journey towards implementing genetic therapies for ARVC patients in real-world clinical settings is still in its early phases. Full article
(This article belongs to the Special Issue Advanced Research in Arrhythmogenic Cardiomyopathy)
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<p>Four Main Strategies of Gene Therapy.</p>
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<p>FDA-approved AAV-mediated Gene Therapies for Individuals Diagnosed with ARVC According to The 2010 Revised Task Force Criteria. These therapies are indicated for patients with confirmed genetic testing showing a pathogenic variant in PKP2 and a high frequency of premature ventricular complexes.</p>
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<p>AAV Translational Challenges to Successful Clinical Applications.</p>
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10 pages, 1517 KiB  
Article
Clinical Relevance of the Systematic Analysis of Copy Number Variants in the Genetic Study of Cardiomyopathies
by David de Uña-Iglesias, Juan Pablo Ochoa, Lorenzo Monserrat and Roberto Barriales-Villa
Genes 2024, 15(6), 774; https://doi.org/10.3390/genes15060774 - 13 Jun 2024
Cited by 1 | Viewed by 1122
Abstract
Cardiomyopathies (CMs), one of the main causes of sudden death among the young population, are a heterogeneous group of myocardial diseases, usually with a genetic cause. Next-Generation Sequencing (NGS) has expanded the genes studied for CMs; however, the yield is still around 50%. [...] Read more.
Cardiomyopathies (CMs), one of the main causes of sudden death among the young population, are a heterogeneous group of myocardial diseases, usually with a genetic cause. Next-Generation Sequencing (NGS) has expanded the genes studied for CMs; however, the yield is still around 50%. The systematic study of Copy Number Variants (CNVs) could contribute to improving our diagnostic capacity. These alterations have already been described as responsible for cardiomyopathies in some cases; however, their impact has been rarely assessed. We analyzed the clinical significance of CNVs in cardiomyopathies by studying 11,647 affected patients, many more than those considered in previously published studies. We evaluated the yield of the systematic study of CNVs in a production context using NGS and a novel CNV detection software tool v2.0 that has demonstrated great efficacy, maximizing sensitivity and avoiding false positives. We obtained a CNV analysis yield of 0.8% that fluctuated depending on the type of cardiomyopathy studied (0.29% HCM, 1.41% DCM, 1.88% ARVC, 1.8% LVNC, 1.45% RCM), and we present the frequency of occurrence for 18 genes that agglutinate the 95 pathogenic/likely pathogenic CNVs detected. We conclude the importance of including in diagnostic tests a systematic study of these genetic alterations for the different cardiomyopathies. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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<p>Phenotypes indicated by a clinician for patients as being affected or possibly affected.</p>
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<p>Example of the visualization provided by the CNV detection tool for one of the CNVs detected, in this case in the <span class="html-italic">DMD</span> gene. The software (v2.0) reported a deletion in heterozygosis for a female with very high confidence (region in yellow). The green line represents the normalized reading depth expected from a model generated with control samples (in blue); the case study is shown in red. The upper part of the graph shows the normalized reading depth, the middle part shows a plot of the gene located in the region, and the lower part shows the ratio of each sample to the model. Note that, in the part highlighted in yellow, there is a decrease in the signal that the program reports at 50%, the expected ratio for a deletion in heterozygosis. In addition, the point variants detected are presented as dots. Point variants detected in homozygosis are shown in red and heterozygous variants in green. In this example, the case has a variant in homozygosis in the selected region versus one in heterozygosis for one of the controls at the same position, also consistent with the reported CNV.</p>
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<p>Relative frequency per gene with associated CNVs.</p>
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