Landstrom, Andrew P.

Abstract Dilated cardiomyopathy (DCM) is a clinical diagnosis characterized by the presence of left ventricular dilatation and systolic dysfunction unexplained by abnormal loading conditions or coronary artery disease. However, a broad range of phenotypic manifestations, encompassing isolated scar, DCM with preserved ejection fraction, and overt DCM, should be regarded as a diagnostic classification representing a broad spectrum of underlying aetiologies, including both inherited and acquired heart muscle disorders. A multimodal non-invasive imaging approach is essential for accurate morpho-functional assessment of cardiac chambers and is key to establish the cardiac phenotype and to rule out an underlying ischaemic aetiology. Furthermore, advanced imaging techniques enable deep cardiovascular phenotyping and non-invasive tissue characterization. The aim of this review is to propose a systematic approach to the diagnosis of DCM, emphasizing the importance of genetics and clinical findings for a precise and practical clinical approach. Also, we strive to qualify the role of cardiac imaging in the diagnosis of DCM, particularly on the relevance of novel techniques and clinical utility of actionable parameters to improve current diagnostic schemes and risk stratification algorithms. We further elaborate on the role of cardiac imaging to deliver optimal guidance to aetiology-based therapeutic approaches, verification of treatment response and disease progression monitoring.

Background: Mitral valve prolapse (MVP) is a common valvular abnormality. Observational studies demonstrate an association between MVP and increased risk of sudden cardiac death from ventricular arrhythmias, coined arrhythmogenic MVP. A genetic component has been postulated but remains under-investigated. Hypothesis: Predicted deleterious variants in Mendelian cardiomyopathy and arrhythmia genes are more frequent in arrhythmogenic MVP (aMVP) compared to non-arrhythmogenic MVP. Aims: To comprehensively phenotype and genotype a single-center aMVP cohort and compare to non-aMVP from two large population-based cohorts and investigate their clinical outcomes. Methods: The aMVP cohort included 46 prospectively enrolled patients from a regional referral center for inherited cardiovascular disease and had undergone multi-modality imaging and clinical gene panel testing. The non-aMVP comparator cohorts included 453 participants from the UK Biobank (UKBB), a prospective cohort of 500,000 UK residents, and 1,418 participants from the National Institutes of Health (NIH) All of Us (AoU), a prospective cohort of 450,000 USA participants. Gene variants were annotated in ANNOVAR. Participants with and without pathogenic/likely pathogenic (P/LP) variants reported on ClinVar with ≥2-star level of evidence were considered genotype positive (G+) and negative (G-) respectively. Results: The demographics for aMVP (age 61.2 ± 12.8 years, 56.5% female) and non-aMVP (UKBB: age 59.8 ± 7.3 years, 50.7% female and AoU: age 65.3 ± 13.4 years, 76.2% female) were comparable. G+ participants were more prevalent in the aMVP cohort 10/46 (21.7%) versus non-aMVP in the UKBB 8/453 (1.8%) and in the AoU 21/1418 (1.5%); p<0.001. The most frequently implicated gene in aMVP was TTN . Of 46 in aMVP cohort, 33 (71%) underwent CMR. G+ participants had a higher frequency of late gadolinium enhancement [6/6 (100%) vs. 14/27 (51.8%), p<0.001] and wall motion abnormalities [3/6 (50%) vs. 1/27 (3.7%), p<0.001] compared to G- participants. The aMVP cohort had significantly more implantable cardioverter defibrillator (ICD) implants compared to non-aMVP cohort [5/46 (10.9%) vs. 1/453 in UKBB (0.2%), p<0.001]. G+ aMVP cohort showed a trend for developing heart failure and ICD implants compared to G- aMVP . Conclusion: P/LP variants in cardiomyopathy and arrhythmia genes are more prevalent in aMVP participants compared to non-aMVP participants. This could be a hitherto unrecognized effect modifier predicting aMVP .

Precision medicine, which among other aspects includes an individual's genomic data in diagnosis and management, has become the standard‐of‐care for Mendelian cardiovascular disease (CVD). However, early identification and management of asymptomatic patients with potentially lethal and manageable Mendelian CVD through screening, which is the promise of precision health, remains an unsolved challenge. The reduced costs of genomic sequencing have enabled the creation of biobanks containing in‐depth genetic and health information, which have facilitated the understanding of genetic variation, penetrance, and expressivity, moving us closer to the genotype‐first screening of asymptomatic individuals for Mendelian CVD. This approach could transform health care by diagnostic refinement and facilitating prevention or therapeutic interventions. Yet, potential benefits must be weighed against the potential risks, which include evolving variant pathogenicity assertion or identification of variants with low disease penetrance; costly, stressful, and inappropriate diagnostic evaluations; negative psychological impact; disqualification for employment or of competitive sports; and denial of insurance. Furthermore, the natural history of Mendelian CVD is often unpredictable, making identification of those who will benefit from preventive measures a priority. Currently, there is insufficient evidence that population‐based genetic screening for Mendelian CVD can reduce adverse outcomes at a reasonable cost to an extent that outweighs the harms of true‐positive and false‐positive results. Besides technical, clinical, and financial burdens, ethical and legal aspects pose unprecedented challenges. This review highlights key developments in the field of genotype‐first approaches to Mendelian CVD and summarizes challenges with potential solutions that can pave the way for implementing this approach for clinical care.

Background: Hypertrophic cardiomyopathy (HCM) is the most common cause of sudden cardiac death in young people. Recently, a patient with HCM with paroxysmal atrial fibrillation (AF) and sinoatrial block was found to have a missense mutation, E169K, in the junctophilin 2 (JPH2) protein. Loss of JPH2 has been shown to affect intracellular Ca2+ release in the heart. To date, no study has evaluated the effect of E169K mutation on Ca2+ handling and arrhythmogenesis. Hypothesis: The JPH2 E169K mutation promotes sarcoplasmic reticulum Ca2+ leak causing abnormal atrial conduction and AF. Methods and Results: We evaluated our hypothesis by generating 3 mice that overexpressed 1) JPH2 with E169K mutation (EK-Tg), 2) WT JPH2 (WT-Tg) and 3) JPH2 with inactive P584S mutation (PS-Tg). On Western Blot, JPH2 expression was increased by 2-3 fold in all the mouse groups compared to non-transgenic controls. Echocardiography at 6 months of age revealed normal fractional shortening in all mice. At baseline, EK-Tg mice had a shorter RR interval (104±1 ms, n=10) vs. WT-Tg (123±5 ms, n=8, p=0.001) and PS-Tg mice (121±5 ms, n=5, p<0.001). EK-Tg mice also had a shorter PR interval (36±1 ms, n=10) vs. WT-Tg (41±1 ms, n=8, p=0.01) and PS-Tg mice (39±1 ms, n=5, p=0.15). On intracardiac electrophysiology studies, EK-Tg mice had shorter AVERP (39±2 ms, n=10) vs. WT-Tg (51±2 ms, n=8, p=0.005) and PS-Tg mice (48±3 ms, n=5, p=0.05). On overdrive pacing of the atria in the presence of epinephrine and caffeine, EK-Tg mice had a 57% incidence of AF (n=10) vs. 21% in WT-Tg (n=8, p<0.05) and 33% in PS-Tg mice (n=5, p=0.2). Isolated cardiomyocytes from EK-Tg mice had a higher Ca2+ spark frequency (6.7±0.8 events/100 um/s, n=20) vs. cardiomyocytes from WT-Tg (1.8±0.5 events/100 um/s, n=10, p<0.001) and PS-Tg mice (3.3±1.0 events/100 um/s, n=16, p<0.05). Lastly, JPH2 levels were lower in RyR2 channels immunoprecipitated from EK-Tg mice vs. RyR2 from WT-Tg mice (65% vs. 100%, p<0.05). Conclusion: The JPH2 mutation, E169K, leads to reduced binding of JPH2 with RyR2, increased SR Ca2+ leak, abnormal atrial conduction and AF. The data suggest that JPH2 may serve as a critical stabilizing molecule for RyR2; further approaches to stabilize this interaction may lead to improved control of AF in susceptible populations.

Background. Na + /Ca 2+ exchanger (NCX) is essential in tuning intracellular Ca 2+ and the development of heart failure (HF). We reported that loss of Junctophilin 2 (JPH2) in adult mouse hearts leads to reduced NCX activity in addition to hyperactive RyR2s and more arrhythmogenic Ca 2+ waves. NCX has been found to co-localize with RyR2 recently. However, what is the physiological significance of junctional NCX and whether the reduced junctional NCX activity following JPH2 knockdown contributes to the arrhythmogenesis is still unknown. Hypothesis. Dysfunction of Junctional NCX in response to JPH2 knockdown alters spatial properties of Ca 2+ sparks and contributes to arrhythmogenesis. Methods. Tamoxifen-treated MCM and MCM-shJPH2 (KD) mice were studied. Contractile function was measured by echocardiography. Open probability of single RyR2 was evaluated by lipid bilayer. Ca 2+ spark were assessed with confocal microscopy. NCX activity was measured by exponential fitting of the declining phase of caffeine-induced Ca 2+ transient. Results. JPH2 knockdown increased spark size (MCM: 2.55 ± 0.14; KD: 4.25 ± 0.16, P < 0.001), suggesting an increased occurrence of proarrhythmic macrosparks. Cardiac Contractile function (EF% ) is negatively correlated with Ca 2+ spark size (n = 8, P < 0.05). Increased Open probability of RyR2 (MCM: 0.038 ± 0.018 KD: 0.274 ± 0.142, P < 0.01) is unlikely the reason for the ~70% increase in spark size, since it is not observed in 3 other mouse models with hyperactive RyR2s but normal JPH2 levels (RyR2:S2814D, mdx and FKBP12.6 -/- ). Loss of JPH2 also slows Ca 2+ efflux via NCX by ~50% (MCM: 2.70 ± 0.23 vs. KD: 5.11 ± 0.61 s, P < 0.01) without altering NCX expression level. Spark size and NCX activity are negatively correlated (n = 8 mice, P < 0.05), and partial inhibition (~30%) of NCX with 1 mM Cd 2+ significantly increased spark size by 14.0 ± 2.8% (n = 8, P <0.05) in wt mice. Conclusion. For the first time we showed that reduced NCX activity increases spatial properties of Ca 2+ sparks and thus arrhythmogenesis. Since reduced JPH2 is associated with HF and NCX plays more important role in human than in murine, reduced junctional NCX activity following loss of JPH2 could be a novel mechanism underlying the development of HF and associated ventricular arrhythmias.

BACKGROUND: With genetic testing advancements, the burden of incidentally identified cardiac disease-associated gene variants is rising. These variants may carry a risk of sudden cardiac death, highlighting the need for accurate diagnostic interpretation. We sought to identify pathogenic hotspots in sudden cardiac death-associated genes using amino acid-level signal-to-noise (S:N) analysis and develop a web-based precision medicine tool, DiscoVari , to improve variant evaluation. METHODS: The minor allele frequency of putatively pathogenic variants was derived from cohort-based cardiomyopathy and channelopathy studies in the literature. We normalized disease-associated minor allele frequencies to rare variants in an ostensibly healthy population (Genome Aggregation Database) to calculate amino acid-level S:N. Amino acids with S:N above the gene-specific threshold were defined as hotspots. DiscoVari was built using JavaScript ES6 and using open-source JavaScript library ReactJS, web development framework Next.js, and JavaScript runtime NodeJS. We validated the ability of DiscoVari to identify pathogenic variants using variants from ClinVar and individuals clinically evaluated at the Duke University Hospitals with cardiac genetic testing. RESULTS: We developed DiscoVari as an internet-based tool for S:N-based variant hotspots. Upon validation, a higher proportion of ClinVar likely pathogenic/pathogenic variants localized to DiscoVari hotspots (43.1%) than likely benign/benign variants (17.8%; P< 0.0001). Further, 75.3% of ClinVar variants reclassified to likely pathogenic/pathogenic were in hotspots, compared with 41.3% of those reclassified as variants of uncertain significance ( P< 0.0001) and 23.4% of those reclassified as likely benign/benign ( P <0.0001). Of the clinical cohort variants, 73.1% of likely pathogenic/pathogenic were in hotspots, compared with 0.0% of likely benign/benign ( P< 0.01). CONCLUSIONS: DiscoVari reliably identifies disease-susceptible amino acid residues to evaluate variants by searching amino acid-specific S:N ratios.

Background: There is a paucity of data regarding the phenotype of dilated cardiomyopathy (DCM) gene variants in the general population. We aimed to determine the frequency and penetrance of DCM-associated putative pathogenic gene variants in a general adult population, with a focus on the expression of clinical and subclinical phenotype, including structural, functional, and arrhythmic disease features. Methods: UK Biobank participants who had undergone whole exome sequencing, ECG, and cardiovascular magnetic resonance imaging were selected for study. Three variant-calling strategies (1 primary and 2 secondary) were used to identify participants with putative pathogenic variants in 44 DCM genes. The observed phenotype was graded DCM (clinical or cardiovascular magnetic resonance diagnosis); early DCM features, including arrhythmia or conduction disease, isolated ventricular dilation, and hypokinetic nondilated cardiomyopathy; or phenotype-negative. Results: Among 18 665 individuals included in the study, 1463 (7.8%) possessed ≥1 putative pathogenic variant in 44 DCM genes by the main variant calling strategy. A clinical diagnosis of DCM was present in 0.34% and early DCM features in 5.7% of individuals with putative pathogenic variants. ECG and cardiovascular magnetic resonance analysis revealed evidence of subclinical DCM in an additional 1.6% and early DCM features in an additional 15.9% of individuals with putative pathogenic variants. Arrhythmias or conduction disease (15.2%) were the most common early DCM features, followed by hypokinetic nondilated cardiomyopathy (4%). The combined clinical/subclinical penetrance was ≤30% with all 3 variant filtering strategies. Clinical DCM was slightly more prevalent among participants with putative pathogenic variants in definitive/strong evidence genes as compared with those with variants in moderate/limited evidence genes. Conclusions: In the UK Biobank, ≈1 of 6 of adults with putative pathogenic variants in DCM genes exhibited early DCM features potentially associated with DCM genotype, most commonly manifesting with arrhythmias in the absence of substantial ventricular dilation or dysfunction.

Background: Mutations in the CACNA1C-encoded L-type calcium channel have been associated with Timothy Syndrome (TS) with severe QT prolongation, cardiac hypertrophy, syndactyly, facial dysmorphisms, developmental delay, and sudden death by impaired channel inactivation and increase peak current. Recently, a small number of patients with CACNA1C mutations with only long QT syndrome (LQTS) have been described. Objective: To explore whether CACNA1C mutations associated with TS were mechanistically and clinically distinct from CACNA1C-mediated LQTS. Methods/Results: Illumina HiSeq 2000 platform-based whole exome sequencing with variant alignment using HGSC Mercury analysis and Atlas2 revealed a novel variant CACNA1C-L762F that co-segregated with affected patients of a large, multi-generational family with LQTS and sudden death. The proband presented at 3 years of age with out-of-hospital cardiac arrest and demonstrated QTc of 530. The mutation localized to the DII/DIII intracellular linker domain of the channel in a highly conserved region in close proximity to the 6th DI transmembrane domain. Whole cell patch clamp of heterologously expressed CACNA1C-L762F in TSA201 cells demonstrated slower inactivation tau and increased late current indicating its gain-of-function cellular electrophysiological phenotype. Comprehensive review and topological mapping of all described CACNA1C mutations associated with TS or LQTS revealed disease-specific hotspots. TS-associated mutations localized to cytoplasmic aspects of transmembrane domains while LQTS-associated mutations localized to cytoplasmic N- and C-terminal domains and linker regions. Probands hosting TS mutations demonstrated markedly prolonged QTc values compared to LQTS (618 vs 486 ms, p<0.001) and were younger at presentation (2.7 vs 20.1 years, p<0.002). Supporting these associations, the L762F mutation localized closer to the CACNA1C transmembrane domain than any other LQTS mutation and are associated with a QTc and age of diagnosis reflective of TS-associated mutations. Conclusions: The CACNA1C-L762F mutation is associated with biochemical and clinical features which highlight a molecular and clinical distinction between TS- and LQTS-associated CACNA1C mutations.