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Vázquez‐Sánchez S, Blasco A, Fernández‐Corredoira P, Cantolla P, Mercado‐García E, Rodríguez‐Sánchez E, González‐Lafuente L, Poveda J, González‐Moreno D, Matutano A, Peribañez S, García‐Consuegra I, Volpe M, Fernández‐Velasco M, Ruilope LM, Ruiz‐Hurtado G. Recombinant Klotho administration after myocardial infarction reduces ischaemic injury and arrhythmias by blocking intracellular calcium mishandling and CaMKII activation. J Pathol 2025; 265:342-356. [PMID: 39815421 PMCID: PMC11794962 DOI: 10.1002/path.6388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 10/04/2024] [Accepted: 12/03/2024] [Indexed: 01/18/2025]
Abstract
Ischaemic heart disease (IHD) remains a major cause of death and morbidity. Klotho is a well-known anti-ageing factor with relevant cardioprotective actions, at least when renal dysfunction is present, but its actions are much less known when renal function is preserved. This study investigated Klotho as a biomarker and potential novel treatment of IHD-associated complications after myocardial infarction (MI) under preserved renal function. Association between circulating Klotho levels and cardiac injury was investigated in patients after ST-elevation MI (STEMI). Biochemical, in vivo and in vitro cardiac function and histological and molecular studies were performed to determine the effect of recombinant Klotho in the failing hearts of mice after MI. We demonstrated that STEMI patients showed lower systemic Klotho levels, with the lowest Klotho tertile in those patients with higher N-terminal pro B-type natriuretic peptide (NT-proBNP) levels. Mice also showed a decrease in systemic Klotho levels after MI induction. Furthermore, recombinant Klotho administration in mice reduced infarct area and attenuated cardiac hypertrophy and fibrosis. We also demonstrated that Klotho treatment prevented reduction in ejection fraction and MI-related ECG changes, including prolonged QRS, JT, QTc, and TpeakTend intervals and premature ventricular contractions. In adult mouse cardiomyocytes, Klotho treatment restricted systolic calcium (Ca2+) release and cell shortening disturbances after MI. Klotho prevented increased diastolic Ca2+ leak and pro-arrhythmogenic events in PMI mice by blocking activation of the Ca2+/calmodulin-dependent kinase type II (CaMKII) pathway, preventing ryanodine receptor type 2 (RyR2) hyperphosphorylation. In conclusion, Klotho supplementation protected against functional and structural cardiac remodelling and ameliorated ventricular arrhythmic events by preventing intracardiomyocyte Ca2+ mishandling in mice following MI. These data uncover a new cardioprotective role of Klotho, emerging as a biomarker of ventricular injury and potential treatment for patients after MI. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Sara Vázquez‐Sánchez
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- RICORS2040‐RenalMadridSpain
| | - Ana Blasco
- Acute Cardiac Care UnitsCardiology Service. Hospital Universitario Puerta de Hierro‐MajadahondaMadridSpain
- Research Ethics CommitteeInstituto de Investigación Puerta de Hierro‐Segovia de AranaMadridSpain
| | | | - Paula Cantolla
- Clinical and Invasive Cardiology Group, Instituto de Investigación Sanitaria del Hospital La Paz (IdiPAZ)Hospital Universitario La PazMadridSpain
| | - Elisa Mercado‐García
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
| | - Elena Rodríguez‐Sánchez
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- RICORS2040‐RenalMadridSpain
| | - Laura González‐Lafuente
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- RICORS2040‐RenalMadridSpain
| | - Jonay Poveda
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
| | - Daniel González‐Moreno
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- RICORS2040‐RenalMadridSpain
| | - Andrea Matutano
- Acute Cardiac Care UnitsCardiology Service. Hospital Universitario Puerta de Hierro‐MajadahondaMadridSpain
- Research Ethics CommitteeInstituto de Investigación Puerta de Hierro‐Segovia de AranaMadridSpain
| | - Sonia Peribañez
- Cardiology ServiceHospital Universitario Miguel ServetZaragozaSpain
| | - Inés García‐Consuegra
- Proteomics UnitInstitute of Research Imas12, Hospital Universitario 12 de OctubreMadridSpain
| | - Massimo Volpe
- Department of Clinical and Molecular MedicineSapienza University of RomeRomeItaly
- IRCCS San RaffaeleRomeItaly
| | - María Fernández‐Velasco
- Clinical and Invasive Cardiology Group, Instituto de Investigación Sanitaria del Hospital La Paz (IdiPAZ)Hospital Universitario La PazMadridSpain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER‐CV)Instituto de Salud Carlos IIIMadridSpain
| | - Luis M. Ruilope
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER‐CV)Instituto de Salud Carlos IIIMadridSpain
- European University of MadridMadridSpain
| | - Gema Ruiz‐Hurtado
- Cardiorenal Translational LaboratoryImas12 Research Institute, Hospital Universitario 12 de OctubreMadridSpain
- RICORS2040‐RenalMadridSpain
- Department of Physiology, School of MedicineUniversidad Autónoma de MadridMadridSpain
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2
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Ashkir Z, Samat AHA, Ariga R, Finnigan LEM, Jermy S, Akhtar MA, Sarto G, Murthy P, Wong BWY, Cassar MP, Beyhoff N, Wicks EC, Thomson K, Mahmod M, Tunnicliffe EM, Neubauer S, Watkins H, Raman B. Myocardial disarray and fibrosis across hypertrophic cardiomyopathy stages associate with ECG markers of arrhythmic risk. Eur Heart J Cardiovasc Imaging 2025; 26:218-228. [PMID: 39417278 PMCID: PMC11781828 DOI: 10.1093/ehjci/jeae260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Revised: 09/24/2024] [Accepted: 09/26/2024] [Indexed: 10/19/2024] Open
Abstract
AIMS Myocardial disarray, an early feature of hypertrophic cardiomyopathy (HCM) and a substrate for ventricular arrhythmia, is poorly characterized in pre-hypertrophic sarcomeric variant carriers (SARC+LVH-). Using diffusion tensor cardiac magnetic resonance (DT-CMR) we assessed myocardial disarray and fibrosis in both SARC+LVH- and HCM patients and evaluated the relationship between microstructural alterations and electrocardiographic (ECG) parameters associated with arrhythmic risk. METHODS AND RESULTS Sixty-two individuals (24 SARC+LVH-, 24 HCM, and 14 matched controls) were evaluated with multi-parametric CMR including stimulated echo acquisition mode DT-CMR, and blinded quantitative 12-lead ECG analysis. Mean diastolic fractional anisotropy (FA) was reduced in HCM compared with SARC+LVH- and controls (0.49 ± 0.05 vs. 0.52 ± 0.04 vs. 0.53 ± 0.04, P = 0.009), even after adjustment for differences in extracellular volume (ECV) (P = 0.038). Both HCM and SARC+LVH- had segments with significantly reduced diastolic FA relative to controls (54 vs. 25 vs. 0%, P = 0.002). Multiple repolarization parameters were prolonged in HCM and SARC+LVH-, with corrected JT interval (JTc) being most significant (354 ± 42 vs. 356 ± 26 vs. 314 ± 26 ms, P = 0.002). Among SARC+LVH-, JTc duration correlated negatively with mean diastolic FA (r = -0.6, P = 0.002). In HCM, the JTc interval showed a stronger association with ECV (r = 0.6 P = 0.019) than with mean diastolic FA (r = -0.1 P = 0.72). JTc discriminated SARC+LVH- from controls [area under the receiver operator curve 0.88, confidence interval 0.76-1.00, P < 0.001], and in HCM correlated with the European Society of Cardiology HCM sudden cardiac death risk score (r = 0.5, P = 0.014). CONCLUSION Low diastolic FA, suggestive of myocardial disarray, is present in both SARC+LVH- and HCM. Low FA and raised ECV were associated with repolarization prolongation. Myocardial disarray assessment using DT-CMR and repolarization parameters such as the JTc interval demonstrate significant potential as markers of disease activity in HCM.
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Affiliation(s)
- Z Ashkir
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - A H A Samat
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
- Faculty of Medicine, Department of Emergency Medicine, Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - R Ariga
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - L E M Finnigan
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - S Jermy
- Faculty of Health Sciences, Cape Universities Body Imaging Centre (CUBIC), University of Cape Town, South Africa
| | - M A Akhtar
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - G Sarto
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - P Murthy
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - B W Y Wong
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - M P Cassar
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - N Beyhoff
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - E C Wicks
- Inherited Cardiac Conditions (ICC) Service, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - K Thomson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - M Mahmod
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - E M Tunnicliffe
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - S Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
| | - H Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - B Raman
- Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford OX3 9DU, UK
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Vera-Sarmiento HL, Tanriverdi T, Hurtado-de-Mendoza D, Sivalokanathan S, Damera RR, Ketty D, Lu D, Zimmerman S, Sinha S, Scheinman M, Abraham MR. QRS prolongation is associated with associated with adverse cardiac remodeling in hypertrophic cardiomyopathy. J Electrocardiol 2024; 87:153818. [PMID: 39527872 DOI: 10.1016/j.jelectrocard.2024.153818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 09/26/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND Signal-averaged electrocardiogram (SAECG) records myocardial depolarization, and can detect inhomogeneous/slow conduction in fibrotic myocardium, which promotes reentrant ventricular arrhythmias (VAs). Hypertrophic cardiomyopathy (HCM) is associated with a high prevalence of cardiac fibrosis and VAs, but abnormal SAECG has low predictive power for VAs. We hypothesized that HCM-specific structural/electrical remodeling underlies this result. METHODS We tested our hypothesis by retrospectively studying HCM patients (n = 73) who underwent transthoracic echocardiography (TTE) and cardiac magnetic resonance (CMR) imaging within 12 months of SAECG and 12‑lead ECG. Patients were divided into 2 groups (normal-SAECG, abnormal-SAECG) based on filtered-QRS duration (fQRSd), root-mean-square-voltage (RMS40) and low-amplitude (<40 μV) signal of terminal 40 ms of filtered-QRS (late potentials). Abnormal SAECG was defined as fQRSd > 114 ms, RMS40 < 20 μV or LAS40 > 38 ms. RESULTS Abnormal SAECG was seen in ∼50 % of HCM patients (37/73). In the abnormal-SAECG group, 78 % (n = 29) only had prolonged fQRSd, and 22 % (n = 8) had prolonged fQRSd plus late potentials (RMS40 < 20 μV or LAS40 > 38 ms). Mean fQRSd and LAS40 were significantly higher in the abnormal-SAECG group. The abnormal-SAECG group had significantly larger LA size, lower global-LV longitudinal systolic strain/strain rate and early-diastolic strain rate by TTE; higher LV-mass index (LVMI) and LV-scar burden by CMR; higher prevalence of repolarization abnormalities on 12‑lead ECG. LVEF and adverse outcomes (VT/VF, heart failure, death) were similar in the 2 groups. Univariate analysis showed that fQRSd is positively correlated with LVMI, LV-scar mass, and negatively correlated with global-LV early diastolic strain rate. CONCLUSIONS In HCM, abnormal SAECG is associated with greater structural/electrical LV-remodeling, reflecting a severe global myopathy.
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Affiliation(s)
- Hernan L Vera-Sarmiento
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America
| | - Talha Tanriverdi
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America; Department of Medicine, SUNY Upstate Medical University, Syracuse, NY, United States of America
| | - David Hurtado-de-Mendoza
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Sanjay Sivalokanathan
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ramses Ramirez Damera
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | | | - Daiyin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Stefan Zimmerman
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Sunil Sinha
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Melvin Scheinman
- Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, CA, United States of America.
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4
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Stojanović E, Scanlan A, Jakovljević V, Stoičkov V, Radovanović D. Left Ventricular Geometric Pattern Impacts QT Dispersion in Males Athletes and Sedentary Men. Echocardiography 2024; 41:e15937. [PMID: 39347578 DOI: 10.1111/echo.15937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 10/01/2024] Open
Abstract
AIM To (1) compare QT dispersion (QTd) and echocardiographic features between athletes with concentric left ventricular (LV) hypertrophy, athletes with eccentric LV hypertrophy, and sedentary controls with a normal LV geometric pattern and (2) quantify associations between QTd and echocardiographic features within these groups. METHODS Male athletes competing in different sports and sedentary men were stratified into groups according to their LV geometric pattern. These groups included eccentric LV hypertrophy (LV index > 115 g/m2, relative wall thickness [RWT] < 0.42) consisting of 38 athletes, concentric LV hypertrophy (LV index > 115 g/m2, RWT > 0.42) consisting of 40 athletes, and normal LV geometric pattern (LV index < 115 g/m2, RWT < 0.42) consisting of 40 sedentary controls. Following a cross-sectional design, participants underwent electrocardiographic (ECG) and echocardiographic screening. Data were compared between groups using one-way analyses of variance with Bonferroni post hoc tests. Associations between corrected QTd and echocardiographic variables were quantified using Pearson correlations. RESULTS Alongside structural disparities between groups, corrected QTd was significantly (p < 0.001) lower in athletes with eccentric LV hypertrophy compared to athletes with concentric LV hypertrophy and sedentary controls. Significant, moderate-to-very-large correlations were found between corrected QTd and interventricular septal wall thickness in athletes with concentric (r = 0.416, p = 0.008) or eccentric LV hypertrophy (r = 0.734, p < 0.001), and sedentary controls (r = 0.464, p = 0.003). CONCLUSION The provided comparative and relationship data may inform the development of more precise approaches for ECG and echocardiographic screening in athletes, particularly in those with concentric LV hypertrophy who may be at greater risk for developing prolonged QTd.
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Affiliation(s)
- Emilija Stojanović
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
- Faculty of Sport Science, Department of Training and Exercise Science, Ruhr University Bochum, Bochum, Germany
| | - Aaron Scanlan
- School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia
| | - Vladimir Jakovljević
- Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
- Department of Human Pathology, First Moscow State Medical University IM Sechenov, Moscow, Russian Federation
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5
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Thottakara T, Padmanabhan A, Tanriverdi T, Thambidurai T, Diaz-RG JA, Amonkar SR, Olgin JE, Long CS, Roselle Abraham M. Single-nucleus RNA/ATAC-seq in early-stage HCM models predicts SWI/SNF-activation in mutant-myocytes, and allele-specific differences in fibroblasts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.24.589078. [PMID: 38903075 PMCID: PMC11188105 DOI: 10.1101/2024.04.24.589078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Hypertrophic cardiomyopathy (HCM) is associated with phenotypic variability. To gain insights into transcriptional regulation of cardiac phenotype, single-nucleus linked RNA-/ATAC-seq was performed in 5-week-old control mouse-hearts (WT) and two HCM-models (R92W-TnT, R403Q-MyHC) that exhibit differences in heart size/function and fibrosis; mutant data was compared to WT. Analysis of 23,304 nuclei from mutant hearts, and 17,669 nuclei from WT, revealed similar dysregulation of gene expression, activation of AP-1 TFs (FOS, JUN) and the SWI/SNF complex in both mutant ventricular-myocytes. In contrast, marked differences were observed between mutants, for gene expression/TF enrichment, in fibroblasts, macrophages, endothelial cells. Cellchat predicted activation of pro-hypertrophic IGF-signaling in both mutant ventricular-myocytes, and profibrotic TGFβ-signaling only in mutant-TnT fibroblasts. In summary, our bioinformatics analyses suggest that activation of IGF-signaling, AP-1 TFs and the SWI/SNF chromatin remodeler complex promotes myocyte hypertrophy in early-stage HCM. Selective activation of TGFβ-signaling in mutant-TnT fibroblasts contributes to genotype-specific differences in cardiac fibrosis.
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Affiliation(s)
- Tilo Thottakara
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany
| | - Arun Padmanabhan
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
- Gladstone Institutes, San Francisco, CA, USA
| | - Talha Tanriverdi
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Tharika Thambidurai
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Jose A. Diaz-RG
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Sanika R. Amonkar
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Jeffrey E. Olgin
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - Carlin S. Long
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
| | - M. Roselle Abraham
- Department of Medicine, University of California San Francisco, Division of Cardiology, San Francisco
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6
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Derda AA, Abelmann M, Sieweke JT, Waleczek FJG, Weber N, Zehrfeld N, Bär C, Duncker D, Bavendiek U, Berliner D, Bauersachs J, Sonnenschein K, Thum T. A pilot study for risk stratification of ventricular tachyarrhythmia in hypertrophic cardiomyopathy with routine echocardiography parameters. Sci Rep 2024; 14:3799. [PMID: 38360886 PMCID: PMC10869710 DOI: 10.1038/s41598-024-54153-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 02/08/2024] [Indexed: 02/17/2024] Open
Abstract
Ventricular tachyarrhythmia (VTA) are frequent arrhythmias in patients with hypertrophic cardiomyopathy (HCM). Representing a major risk factor for sudden cardiac death, Holter ECG at first clinical presentation appears insufficient. This study aims to investigate the ability of routinely obtained parameters associated with myocardial remodeling in stratifying for VTA in HCM. In this monocentric analysis, patients with HCM underwent 12-channel electrocardiography and echocardiography, including tissue doppler imaging. The study's primary endpoint was the documentation of non-sustained and sustained ventricular tachycardia-summarized as ventricular tachyarrhythmias (VTA) on Holter ECG or active devices. The occurrence of VTA was exploratory. Based on our collective, we developed a risk model regarding VTA. Of 140 HCM patients, 38 (27.1%) had an episode of VTA. Patients with VTA were likelier to have a history of atrial fibrillation (p < 0.001), a thicker interventricular septum (p < 0.001) and lower peak systolic mitral annular velocity (p < 0.001). The parameters were independently associated with endpoint in univariate and multivariate logistic regression. We created a logistic equation and calculated a cut-off value. The resulting ROC curve revealed a discriminative ability with AUC of 0.80 (sensitivity, 63%; specificity, 88%). Our risk model including these widely available parameters is able to distinguish low and high-risk of VTA in patients with HCM.
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Affiliation(s)
- Anselm A Derda
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Malin Abelmann
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Jan-Thorben Sieweke
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Florian J G Waleczek
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
- Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany
| | - Natalie Weber
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Nadine Zehrfeld
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Christian Bär
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
- Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany
| | - David Duncker
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Udo Bavendiek
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Dominik Berliner
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Kristina Sonnenschein
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Thomas Thum
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
- Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany.
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7
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Lu DY, Yalcin H, Yalcin F, Sivalokanathan S, Greenland GV, Ventoulis I, Vakrou S, Pampaloni MH, Zimmerman SL, Valenta I, Schindler TH, Abraham TP, Abraham MR. Systolic blood pressure ≤110 mm Hg is associated with severe coronary microvascular ischemia and higher risk for ventricular arrhythmias in hypertrophic cardiomyopathy. Heart Rhythm O2 2023; 4:538-548. [PMID: 37744936 PMCID: PMC10513918 DOI: 10.1016/j.hroo.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/26/2023] Open
Abstract
Background Coronary microvascular dysfunction (CMD) and hypertension (HTN) occur frequently in hypertrophic cardiomyopathy (HCM), but whether blood pressure (BP) influences CMD and outcomes is unknown. Objective The purpose of this study was to test the hypothesis that HTN is associated with worse CMD and outcomes. Methods This retrospective study included 690 HCM patients. All patients underwent cardiac magnetic resonance imaging, echocardiography, and rhythm monitoring; 127 patients also underwent rest/vasodilator stress 13NH3 positron emission tomography myocardial perfusion imaging. Patients were divided into 3 groups based on their rest systolic blood pressure (SBP) (group 1 ≤110 mm Hg; group 2 111-140; group 3 >140 mm Hg) and were followed for development of ventricular tachycardia (VT)/ventricular fibrillation (VF), heart failure (HF), death, and composite outcome. Results Group 1 patients had the lowest age and left ventricular (LV) mass but the highest prevalence of nonobstructive hemodynamics and restrictive diastolic filling. LV scar was similar in the 3 groups. Group 1 had the lowest rest and stress myocardial blood flow (MBF) and highest SDS (summed difference score). Rest SBP was positively correlated with stress MBF and negatively correlated with SDS. Group 1 had the highest incidence of VT/VF, whereas the incidences of HF, death, and composite outcome were similar among the 3 groups. In multivariate analysis, rest SBP ≤110 mm Hg was independently associated with VT/VF (hazard ratio 2.6; 95% confidence interval 1.0-6.7; P = .04). Conclusion SBP ≤110 mm Hg is associated with greater severity of CMD and coronary microvascular ischemia and higher incidence of ventricular arrhythmias in HCM.
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Affiliation(s)
- Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Hulya Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Fatih Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Sanjay Sivalokanathan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Gabriela V. Greenland
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - Ioannis Ventoulis
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Department of Occupational Therapy, University of Western Macedonia, Ptolemaida, Greece
| | - Styliani Vakrou
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
| | - Miguel Hernandez Pampaloni
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Stefan L. Zimmerman
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Ines Valenta
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Thomas H. Schindler
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Theodore P. Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
| | - M. Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, University of California San Francisco, San Francisco, California
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8
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Cava F, Micolonghi C, Musumeci MB, Petrucci S, Savio C, Fabiani M, Tini G, Germani A, Libi F, Rossi C, Visco V, Pizzuti A, Volpe M, Autore C, Rubattu S, Piane M. Long QTc in hypertrophic cardiomyopathy: A consequence of structural myocardial damage or a distinct genetic disease? Front Cardiovasc Med 2023; 10:1112759. [PMID: 37089884 PMCID: PMC10113437 DOI: 10.3389/fcvm.2023.1112759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/01/2023] [Indexed: 04/08/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is an autosomal dominant disease, characterized by the presence of unexplained left ventricular hypertrophy. This condition is often associated with electrocardiographic abnormalities including QTc prolongation occurring in 13% of patients. The main explanation for prolonged QTc in HCM is myocardial hypertrophy and the related structural damage. However, other mechanisms, including long QT syndrome (LQTS) genes mutations, may be involved. In the present study we explored the hypothesis of a distinct genetic basis underlying QTc prolongation in HCM by investigating the potential co-inheritance of pathogenic gene variants associated with LQTS and HCM. For this purpose, starting from a cohort of 150 HCM patients carrying pathogenic variants in sarcomere genes, we selected 25 patients carrying a QTc prolongation unexplained by any other cause. The QTc was considered prolonged if greater than 450 ms in males and greater than 470 ms in females. The NGS analysis was performed with Illumina TrueSight Cardio panel genes on Illumina MiniSeq platform. We identified pathogenic/likely pathogenic variants in the KCNQ1 in two patients (c.1781G > A, p. Arg594Gln; c.532G > A, p. Ala178Thr) (8%). Variants of uncertain significance were identified in SCN5A, KCNJ5, AKAP9 and ANK2 in four patients (16%). Although the results are limited by the small number of patients included in the study, they highlight a minor contribution of LQTS genes for QTc prolongation in HCM patients. The screening for ion channel genes mutations may be considered in HCM patients with prolonged QTc unexplained by any other cause. This in-depth molecular diagnosis may contribute to improve risk stratification and treatment planning.
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Affiliation(s)
- Francesco Cava
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Caterina Micolonghi
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
- Sant'Andrea University Hospital, Rome, Italy
| | - Maria Beatrice Musumeci
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
- Correspondence: Maria Beatrice Musumeci
| | - Simona Petrucci
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | | | - Marco Fabiani
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Giacomo Tini
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Aldo Germani
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Fabio Libi
- Sant'Andrea University Hospital, Rome, Italy
| | - Carla Rossi
- Sant'Andrea University Hospital, Rome, Italy
| | - Vincenzo Visco
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Antonio Pizzuti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
- Casa Sollievo Della Sofferenza Foundation, San Giovanni Rotondo, Italy
| | - Massimo Volpe
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
- IRCCS S.Raffaele, Rome, Italy
| | | | - Speranza Rubattu
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Maria Piane
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
- Sant'Andrea University Hospital, Rome, Italy
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9
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Nezamabadi K, Mayfield J, Li P, Greenland GV, Rodriguez S, Simsek B, Mousavi P, Shatkay H, Abraham MR. Toward ECG-based analysis of hypertrophic cardiomyopathy: a novel ECG segmentation method for handling abnormalities. J Am Med Inform Assoc 2022; 29:1879-1889. [PMID: 35923089 PMCID: PMC9552290 DOI: 10.1093/jamia/ocac122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/22/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Abnormalities in impulse propagation and cardiac repolarization are frequent in hypertrophic cardiomyopathy (HCM), leading to abnormalities in 12-lead electrocardiograms (ECGs). Computational ECG analysis can identify electrophysiological and structural remodeling and predict arrhythmias. This requires accurate ECG segmentation. It is unknown whether current segmentation methods developed using datasets containing annotations for mostly normal heartbeats perform well in HCM. Here, we present a segmentation method to effectively identify ECG waves across 12-lead HCM ECGs. METHODS We develop (1) a web-based tool that permits manual annotations of P, P', QRS, R', S', T, T', U, J, epsilon waves, QRS complex slurring, and atrial fibrillation by 3 experts and (2) an easy-to-implement segmentation method that effectively identifies ECG waves in normal and abnormal heartbeats. Our method was tested on 131 12-lead HCM ECGs and 2 public ECG sets to evaluate its performance in non-HCM ECGs. RESULTS Over the HCM dataset, our method obtained a sensitivity of 99.2% and 98.1% and a positive predictive value of 92% and 95.3% when detecting QRS complex and T-offset, respectively, significantly outperforming a state-of-the-art segmentation method previously employed for HCM analysis. Over public ECG sets, it significantly outperformed 3 state-of-the-art methods when detecting P-onset and peak, T-offset, and QRS-onset and peak regarding the positive predictive value and segmentation error. It performed at a level similar to other methods in other tasks. CONCLUSION Our method accurately identified ECG waves in the HCM dataset, outperforming a state-of-the-art method, and demonstrated similar good performance as other methods in normal/non-HCM ECG sets.
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Affiliation(s)
- Kasra Nezamabadi
- Computational Biomedicine Lab, Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
| | - Jacob Mayfield
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California, USA
| | - Pengyuan Li
- Computational Biomedicine Lab, Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
| | - Gabriela V Greenland
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California, USA
| | - Sebastian Rodriguez
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California, USA
| | - Bahadir Simsek
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California, USA
| | - Parvin Mousavi
- School of Computing, Queen's University, Kingston, Ontario, Canada
| | - Hagit Shatkay
- Computational Biomedicine Lab, Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, USA
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10
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Sivalokanathan S. The Role of Cardiovascular Magnetic Resonance Imaging in the Evaluation of Hypertrophic Cardiomyopathy. Diagnostics (Basel) 2022; 12:diagnostics12020314. [PMID: 35204405 PMCID: PMC8871211 DOI: 10.3390/diagnostics12020314] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 01/08/2022] [Accepted: 01/25/2022] [Indexed: 01/19/2023] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder, affecting 1 out of 500 adults globally. It is a widely heterogeneous disorder characterized by a range of phenotypic expressions, and is most often identified by non-invasive imaging that includes echocardiography and cardiovascular magnetic resonance imaging (CMR). Within the last two decades, cardiac magnetic resonance imaging (MRI) has emerged as the defining tool for the characterization and prognostication of cardiomyopathies. With a higher image quality, spatial resolution, and the identification of morphological variants of HCM, CMR has become the gold standard imaging modality in the assessment of HCM. Moreover, it has been crucial in its management, as well as adding prognostic information that clinical history nor other imaging modalities may not provide. This literature review addresses the role and current applications of CMR, its capacity in evaluating HCM, and its limitations.
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Affiliation(s)
- Sanjay Sivalokanathan
- Internal Medicine, Pennsylvania Hospital, University of Pennsylvania Health System, Philadelphia, PA 19107, USA;
- Cardiovascular Clinical Academic Group, St. George’s University of London and St George’s University Hospitals NHS Foundation Trust, London SW17 0RE, UK
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11
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Kobayashi Y, Nagai T, Takenaka S, Kato Y, Komoriyama H, Nagano N, Kamiya K, Konishi T, Sato T, Omote K, Tsujinaga S, Iwano H, Kusano K, Yasuda S, Ogawa H, Ishibashi-Ueda H, Anzai T. Long-Term Prognostic Significance of Ventricular Repolarization Dispersion in Patients with Cardiac Sarcoidosis. Am J Cardiol 2021; 152:125-131. [PMID: 34127248 DOI: 10.1016/j.amjcard.2021.04.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 10/21/2022]
Abstract
Cardiac sarcoidosis (CS) is frequently complicated by fatal ventricular arrhythmias. T-peak to T-end interval to QT interval ratio (TpTe/QT) on electrocardiograms (ECG) was proposed as a marker of ventricular repolarization dispersion. Although this ratio could be associated with the incidence of ventricular arrhythmias in cardiovascular diseases, its prognostic implication in patients with CS is unclear. We sought to investigate whether TpTe/QT was associated with long-term clinical outcomes in patients with CS. Ninety consecutive patients with CS in 2 tertiary hospitals who had ECG data before initiation of immunosuppressive therapy between November 1995 and March 2019 were examined. The primary outcome was a composite of advanced atrioventricular block, ventricular tachycardia or ventricular fibrillation (VT/VF), heart failure hospitalization, and all-cause death. During a median follow-up period of 4.70 (interquartile range 2.06-7.23) years, the primary outcome occurred in 21 patients (23.3%). Survival analyses revealed that the primary outcome (p < 0.001), especially VT/VF or sudden cardiac death (p = 0.002), occurred more frequently in patients with higher TpTe/QT (≥ 0.242, the median) than in those with lower TpTe/QT. Multivariable Cox regression analysis showed that a higher TpTe/QT was independently associated with increased subsequent risk of adverse events (hazard ratio1.11, 95% confidence interval 1.03-1.20, p = 0.008) even after adjustment for the significant covariates. In conclusion, a higher TpTe/QT was associated with worse long-term clinical outcomes, especially fatal ventricular arrhythmic events, in patients with cardiac sarcoidosis, suggesting the importance of assessing TpTe/QT as a surrogate for risk stratification in these patients.
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12
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AKSOY MNM, CAN Y, KOCAYİĞİT İ, AĞAÇ MT. Systolic Blood Pressure Variability and Its Relationship with Surrogate Markers of Cardiovascular Risk in Hypertensive Patients. KONURALP TIP DERGISI 2021. [DOI: 10.18521/ktd.890622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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13
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Fibrosis in hypertrophic cardiomyopathy: role of novel echo techniques and multi-modality imaging assessment. Heart Fail Rev 2021; 26:1297-1310. [PMID: 33990907 DOI: 10.1007/s10741-020-10058-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2020] [Indexed: 12/17/2022]
Abstract
Hypertrophic cardiomyopathy (HCM) represents one of the primary cardiomyopathies and may lead to heart failure and sudden cardiac death. Among various histologic features of the disease examined, assessment of myocardial fibrosis may offer valuable information, since it may be considered the common nominator for all HCM connected complications. Late gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) has emerged as the reference noninvasive method for visualizing and quantifying myocardial fibrosis in patients with HCM. T1 mapping, a promising new CMR technique, may provide an advantage over conventional LGE-CMR, by permitting a more valid quantification of diffuse fibrosis. On the other hand, echocardiography offers a significantly more portable, affordable, and easily accessible solution for the study of fibrosis. Various echocardiographic techniques ranging from integrated backscatter and contrast-enhanced ultrasound to two- (2D) or three-dimensional (3D) deformation and shear wave imaging may offer new insights into substrate characterization in HCM. The aim of this review is to describe thoroughly all different modalities that may be used in everyday clinical practice for HCM fibrosis evaluation (with special focus on echocardiographic techniques), to concisely present available evidence and to argue in favor of multi-modality imaging application. It is essential to understand that the role of various imaging modalities is not competitive but complementary, since the information provided by each one is necessary to illuminate the complex pathophysiologic pathways of HCM, offering a personalized approach and treatment in every patient.
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14
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Is hypertensive left ventricular hypertrophy a cause of sustained ventricular arrhythmias in humans? J Hum Hypertens 2021; 35:492-498. [PMID: 33674703 PMCID: PMC8208890 DOI: 10.1038/s41371-021-00503-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 01/28/2021] [Accepted: 02/03/2021] [Indexed: 01/19/2023]
Abstract
Sudden cardiac death (SCD) is most commonly secondary to sustained ventricular arrhythmias (VAs). This review aimed to evaluate if left ventricular hypertrophy (LVH) secondary to systemic hypertension in humans is an isolated risk factor for ventricular arrhythmogenesis. Animal models of hypertensive LVH have shown changes in ion channel function and distribution, gap junction re-distribution and fibrotic deposition. Clinical data has consistently exhibited an increase in prevalence and complexity of non-sustained VAs on electrocardiographic monitoring. However, there is a dearth of trials suggesting progression to sustained VAs and SCD, with extrapolations being confounded by presence of co-existent asymptomatic coronary artery disease (CAD). Putatively, this lack of data may be due to the presence of more homogenous distribution of pathophysiological changes seen in those with hypertensive LVH versus known pro-arrhythmic conditions such as HCM and myocardial infarction. The overall impression is that sustained VAs in the context of hypertensive LVH are most likely to be precipitated by other causes such as CAD or electrolyte disturbance.
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15
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Bhattacharya M, Lu DY, Ventoulis I, Greenland GV, Yalcin H, Guan Y, Marine JE, Olgin JE, Zimmerman SL, Abraham TP, Abraham MR, Shatkay H. Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. CJC Open 2021; 3:801-813. [PMID: 34169259 PMCID: PMC8209373 DOI: 10.1016/j.cjco.2021.01.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/25/2021] [Indexed: 02/07/2023] Open
Abstract
Background Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low CHA2DS2-VASc (congestive heart failure, hypertension, age diabetes, previous stroke/transient ischemic attack) scores. Hence, there is a need to understand the pathophysiology of AF/stroke in HCM. In this retrospective study, we develop and apply a data-driven, machine learning–based method to identify AF cases, and clinical/imaging features associated with AF, using electronic health record data. Methods HCM patients with documented paroxysmal/persistent/permanent AF (n = 191) were considered AF cases, and the remaining patients in sinus rhythm (n = 640) were tagged as No-AF. We evaluated 93 clinical variables; the most informative variables useful for distinguishing AF from No-AF cases were selected based on the 2-sample t test and the information gain criterion. Results We identified 18 highly informative variables that are positively (n = 11) and negatively (n = 7) correlated with AF in HCM. Next, patient records were represented via these 18 variables. Data imbalance resulting from the relatively low number of AF cases was addressed via a combination of oversampling and undersampling strategies. We trained and tested multiple classifiers under this sampling approach, showing effective classification. Specifically, an ensemble of logistic regression and naïve Bayes classifiers, trained based on the 18 variables and corrected for data imbalance, proved most effective for separating AF from No-AF cases (sensitivity = 0.74, specificity = 0.70, C-index = 0.80). Conclusions Our model (HCM-AF-Risk Model) is the first machine learning–based method for identification of AF cases in HCM. This model demonstrates good performance, addresses data imbalance, and suggests that AF is associated with a more severe cardiac HCM phenotype.
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Affiliation(s)
- Moumita Bhattacharya
- Computational Biomedicine and Machine Learning Lab, Department of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
| | - Dai-Yin Lu
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Division of General Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Ioannis Ventoulis
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Gabriela V Greenland
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Hulya Yalcin
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yufan Guan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joseph E Marine
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jeffrey E Olgin
- Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Stefan L Zimmerman
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Theodore P Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - M Roselle Abraham
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, Maryland, USA.,Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California San Francisco, San Francisco, California, USA
| | - Hagit Shatkay
- Computational Biomedicine and Machine Learning Lab, Department of Computer and Information Sciences, University of Delaware, Newark, Delaware, USA
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16
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Varró A, Tomek J, Nagy N, Virág L, Passini E, Rodriguez B, Baczkó I. Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior. Physiol Rev 2020; 101:1083-1176. [PMID: 33118864 DOI: 10.1152/physrev.00024.2019] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Cardiac arrhythmias are among the leading causes of mortality. They often arise from alterations in the electrophysiological properties of cardiac cells and their underlying ionic mechanisms. It is therefore critical to further unravel the pathophysiology of the ionic basis of human cardiac electrophysiology in health and disease. In the first part of this review, current knowledge on the differences in ion channel expression and properties of the ionic processes that determine the morphology and properties of cardiac action potentials and calcium dynamics from cardiomyocytes in different regions of the heart are described. Then the cellular mechanisms promoting arrhythmias in congenital or acquired conditions of ion channel function (electrical remodeling) are discussed. The focus is on human-relevant findings obtained with clinical, experimental, and computational studies, given that interspecies differences make the extrapolation from animal experiments to human clinical settings difficult. Deepening the understanding of the diverse pathophysiology of human cellular electrophysiology will help in developing novel and effective antiarrhythmic strategies for specific subpopulations and disease conditions.
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Affiliation(s)
- András Varró
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.,MTA-SZTE Cardiovascular Pharmacology Research Group, Hungarian Academy of Sciences, Szeged, Hungary
| | - Jakub Tomek
- Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Norbert Nagy
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.,MTA-SZTE Cardiovascular Pharmacology Research Group, Hungarian Academy of Sciences, Szeged, Hungary
| | - László Virág
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Elisa Passini
- Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Blanca Rodriguez
- Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom
| | - István Baczkó
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary
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17
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Yamada A, Kitagawa K, Nakamura S, Takafuji M, Goto Y, Okamoto R, Dohi K, Sakuma H. Quantification of extracellular volume fraction by cardiac computed tomography for noninvasive assessment of myocardial fibrosis in hemodialysis patients. Sci Rep 2020; 10:15367. [PMID: 32958834 PMCID: PMC7506012 DOI: 10.1038/s41598-020-72417-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 08/31/2020] [Indexed: 12/04/2022] Open
Abstract
Extent of myocardial fibrosis in hemodialysis patients has been associated with poor prognosis. Myocardial extracellular volume (ECV) quantification using contrast enhanced cardiac computed tomography (CT) is a novel method to determine extent of myocardial fibrosis. Cardiac CT-based myocardial ECV in hemodialysis patients with those of propensity-matched non-hemodialysis control subjects were compared. Twenty hemodialysis patients (mean age, 67.4 ± 9.6 years; 80% male) and 20 propensity-matched non-hemodialysis controls (mean age, 66.3 ± 9.1 years; 85% male) who underwent comprehensive cardiac CT consisted of calcium scoring, coronary CT angiography, stress perfusion CT and delayed enhancement CT were evaluated. Myocardial ECV was significantly greater in the hemodialysis group than in the control group (33.8 ± 4.7% versus 26.6 ± 2.9%; P < 0.0001). In the hemodialysis group, modest correlation was evident between myocardial ECV and left atrial volume index (r = 0.54; P = 0.01), while there was no correlation between myocardial ECV and other cardiac parameters including left ventricular mass index and severity of myocardial ischemia. Cardiac CT-based myocardial ECV may offer a potential imaging biomarker for myocardial fibrosis in HD patients.
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Affiliation(s)
- Akimasa Yamada
- Department of Radiology, Mie University Hospital, Tsu, Japan
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
| | | | | | - Yoshitaka Goto
- Department of Radiology, Mie University Hospital, Tsu, Japan
| | - Ryuji Okamoto
- Department of Cardiology, Mie University Hospital, Tsu, Japan
| | - Kaoru Dohi
- Department of Cardiology, Mie University Hospital, Tsu, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University Hospital, Tsu, Japan
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18
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Liu Y, Afzal J, Vakrou S, Greenland GV, Talbot CC, Hebl VB, Guan Y, Karmali R, Tardiff JC, Leinwand LA, Olgin JE, Das S, Fukunaga R, Abraham MR. Differences in microRNA-29 and Pro-fibrotic Gene Expression in Mouse and Human Hypertrophic Cardiomyopathy. Front Cardiovasc Med 2019; 6:170. [PMID: 31921893 PMCID: PMC6928121 DOI: 10.3389/fcvm.2019.00170] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 11/08/2019] [Indexed: 12/11/2022] Open
Abstract
Background: Hypertrophic cardiomyopathy (HCM) is characterized by myocyte hypertrophy and fibrosis. Studies in two mouse models (R92W-TnT/R403Q-MyHC) at early HCM stage revealed upregulation of endothelin (ET1) signaling in both mutants, but TGFβ signaling only in TnT mutants. Dysregulation of miR-29 expression has been implicated in cardiac fibrosis. But it is unknown whether expression of miR-29a/b/c and profibrotic genes is commonly regulated in mouse and human HCM. Methods: In order to understand mechanisms underlying fibrosis in HCM, and examine similarities/differences in expression of miR-29a/b/c and several profibrotic genes in mouse and human HCM, we performed parallel studies in rat cardiac myocyte/fibroblast cultures, examined gene expression in two mouse models of (non-obstructive) HCM (R92W-TnT, R403Q-MyHC)/controls at early (5 weeks) and established (24 weeks) disease stage, and analyzed publicly available mRNA/miRNA expression data from obstructive-HCM patients undergoing septal myectomy/controls (unused donor hearts). Results: Myocyte cultures: ET1 increased superoxide/H2O2, stimulated TGFβ expression/secretion, and suppressed miR-29a expression in myocytes. The effect of ET1 on miR-29 and TGFβ expression/secretion was antagonized by N-acetyl-cysteine, a reactive oxygen species scavenger. Fibroblast cultures: ET1 had no effect on pro-fibrotic gene expression in fibroblasts. TGFβ1/TGFβ2 suppressed miR-29a and increased collagen expression, which was abolished by miR-29a overexpression. Mouse and human HCM: Expression of miR-29a/b/c was lower, and TGFB1/collagen gene expression was higher in TnT mutant-LV at 5 and 24 weeks; no difference was observed in expression of these genes in MyHC mutant-LV and in human myectomy tissue. TGFB2 expression was higher in LV of both mutant mice and human myectomy tissue. ACE2, a negative regulator of the renin-angiotensin-aldosterone system, was the most upregulated transcript in human myectomy tissue. Pathway analysis predicted upregulation of the anti-hypertrophic/anti-fibrotic liver X receptor/retinoid X receptor (LXR/RXR) pathway only in human myectomy tissue. Conclusions: Our in vitro studies suggest that activation of ET1 signaling in cardiac myocytes increases reactive oxygen species and stimulates TGFβ secretion, which downregulates miR-29a and increases collagen in fibroblasts, thus contributing to fibrosis. Our gene expression studies in mouse and human HCM reveal allele-specific differences in miR-29 family/profibrotic gene expression in mouse HCM, and activation of anti-hypertrophic/anti-fibrotic genes and pathways in human HCM.
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Affiliation(s)
- Yamin Liu
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States.,Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
| | - Junaid Afzal
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States.,Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
| | - Styliani Vakrou
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
| | - Gabriela V Greenland
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States.,Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
| | - C Conover Talbot
- Johns Hopkins School of Medicine, Institute for Basic Biomedical Sciences, Baltimore, MD, United States
| | - Virginia B Hebl
- Intermountain Medical Center, Intermountain Heart Institute, Murray, UT, United States
| | - Yufan Guan
- Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
| | - Rehan Karmali
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States
| | - Jil C Tardiff
- Sarver Heart Center, University of Arizona Health Sciences, Tucson, AZ, United States
| | - Leslie A Leinwand
- Molecular, Cellular and Developmental Biology, Biofrontiers Institute, University of Colorado, Boulder, CO, United States
| | - Jeffrey E Olgin
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States
| | - Samarjit Das
- Department of Anesthesia and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Ryuya Fukunaga
- Department of Biological Chemistry, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - M Roselle Abraham
- Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California, San Francisco, San Francisco, CA, United States.,Hypertrophic Cardiomyopathy Center of Excellence, Johns Hopkins University, Baltimore, MD, United States
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Wen SN, Zhu HJ, Sun PY, Wu K, Liu N, Ruan YF, Bai R, Tang RB, Yu RH, Long DY, Sang CH, Jiang CX, Li X, Li SN, Hu R, Du X, Dong JZ, Ma CS. Depolarization and repolarization parameters on ECG predict recurrence after atrial fibrillation ablation in patients with hypertrophic cardiomyopathy. J Cardiovasc Electrophysiol 2019; 30:2405-2413. [PMID: 31441155 DOI: 10.1111/jce.14137] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/10/2019] [Accepted: 08/18/2019] [Indexed: 11/27/2022]
Abstract
INTRODUCTION The outcomes of atrial fibrillation (AF) ablation remain suboptimal. It is important to identify which AF patients will most likely benefit from ablation and who are more likely to show treatment failure, especially in those with structural heart disease such as hypertrophic cardiomyopathy (HCM). METHODS AND RESULTS We enrolled 120 HCM patients who underwent primary AF ablation (48 with persistent AF). Preprocedural QTc was measured and corrected using the Bazett's formula, and the distribution of fragmentation of the QRS complex (fQRS) was recorded. Arrhythmia recurrence was defined as any kind of documented atrial tachyarrhythmia of more than 30 seconds. Overall, arrhythmia recurrence occurred in 69 patients after 13.4 months' follow-up. fQRS was present in 71 (59.17%) patients and was most commonly (81.69%) observed in the inferior leads. QTc more than 448 ms could predict arrhythmia recurrence with a sensitivity of 68.1% and specificity of 68.6%. Patients with QTc more than 448 ms (hazard ratio [HR]: 1.982; 95% confidence interval [CI]: 1.155-3.402; P = .013) or those with fQRS+ (HR: 1.922; 95% CI: 1.151-3.210; P = .012) were at an increased risk of recurrence. A combination of fQRS+ and QTc more than 448 ms was superior to fQRS or QTc alone in predicting arrhythmia recurrence. CONCLUSION In patients with HCM undergoing AF ablation, QTc prolongation, specifically >448 ms, and presence of fQRS are independent risk factors for arrhythmia recurrence at follow-up. The combination of these two parameters has greater predictive value and would help to identify patients who are at the highest risk of procedural failure.
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Affiliation(s)
- Song-Nan Wen
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hao-Jie Zhu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Peng-Yu Sun
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Kui Wu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Nian Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yan-Fei Ruan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rong Bai
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ri-Bo Tang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rong-Hui Yu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - De-Yong Long
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Cai-Hua Sang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chen-Xi Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xin Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Song-Nan Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rong Hu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xin Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jian-Zeng Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chang-Sheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Coppini R, Ferrantini C, Mugelli A, Poggesi C, Cerbai E. Altered Ca 2+ and Na + Homeostasis in Human Hypertrophic Cardiomyopathy: Implications for Arrhythmogenesis. Front Physiol 2018; 9:1391. [PMID: 30420810 PMCID: PMC6215954 DOI: 10.3389/fphys.2018.01391] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/13/2018] [Indexed: 12/12/2022] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common mendelian heart disease, with a prevalence of 1/500. HCM is a primary cause of sudden death, due to an heightened risk of ventricular tachyarrhythmias that often occur in young asymptomatic patients. HCM can slowly progress toward heart failure, either with preserved or reduced ejection fraction, due to worsening of diastolic function. Accumulation of intra-myocardial fibrosis and replacement scars underlies heart failure progression and represents a substrate for sustained arrhythmias in end-stage patients. However, arrhythmias and mechanical abnormalities may occur in hearts with little or no fibrosis, prompting toward functional pathomechanisms. By studying viable cardiomyocytes and trabeculae isolated from inter-ventricular septum samples of non-failing HCM patients with symptomatic obstruction who underwent myectomy operations, we identified that specific abnormalities of intracellular Ca2+ handling are associated with increased cellular arrhytmogenesis and diastolic dysfunction. In HCM cardiomyocytes, diastolic Ca2+ concentration is increased both in the cytosol and in the sarcoplasmic reticulum and the rate of Ca2+ transient decay is slower, while the amplitude of Ca2+-release is preserved. Ca2+ overload is the consequence of an increased Ca2+ entry via L-type Ca2+-current [due to prolongation the action potential (AP) plateau], combined with a reduced rate of Ca2+-extrusion through the Na+/Ca2+ exchanger [due to increased cytosolic (Na+)] and a lower expression of SERCA. Increased late Na+ current (INaL) plays a major role, as it causes both AP prolongation and Na+ overload. Intracellular Ca2+ overload determines an higher frequency of Ca2+ waves leading to delayed-afterdepolarizations (DADs) and premature contractions, but is also linked with the increased diastolic tension and slower relaxation of HCM myocardium. Sustained increase of intracellular [Ca2+] goes hand-in-hand with the increased activation of Ca2+/calmodulin-dependent protein-kinase-II (CaMKII) and augmented phosphorylation of its targets, including Ca2+ handling proteins. In transgenic HCM mouse models, we found that Ca2+ overload, CaMKII and increased INaL drive myocardial remodeling since the earliest stages of disease and underlie the development of hypertrophy, diastolic dysfunction and the arrhythmogenic substrate. In conclusion, diastolic dysfunction and arrhythmogenesis in human HCM myocardium are driven by functional alterations at cellular and molecular level that may be targets of innovative therapies.
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Affiliation(s)
- Raffaele Coppini
- Department of Neuroscience, Psychology, Drug Sciences and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Cecilia Ferrantini
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Alessandro Mugelli
- Department of Neuroscience, Psychology, Drug Sciences and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Corrado Poggesi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Elisabetta Cerbai
- Department of Neuroscience, Psychology, Drug Sciences and Child Health (NEUROFARBA), University of Florence, Florence, Italy
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Yuki H, Utsunomiya D, Shiraishi S, Takashio S, Sakamoto F, Tsuda N, Oda S, Kidoh M, Nakaura T, Tsujita K, Yamashita Y. Correlation of left ventricular dyssynchrony on gated myocardial perfusion SPECT analysis with extent of late gadolinium enhancement on cardiac magnetic resonance imaging in hypertrophic cardiomyopathy. Heart Vessels 2017; 33:623-629. [DOI: 10.1007/s00380-017-1104-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/08/2017] [Indexed: 10/18/2022]
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