Weinsaft, Jonathan W.

Importance Friedreich ataxia (FA), a fatal, autosomal recessive disorder caused by pathogenic variants in the frataxin ( FXN ) gene, is characterized by progressive neurologic and cardiac disease, with cardiac disease being the major cause of death. Preclinical studies have demonstrated that systemic administration of AAVrh.10hFXN, an rh.10 serotype cardiotropic adenoassociated virus (AAV) vector expressing the normal human FXN coding sequence, reverses the cardiomyopathy in FXN-deficient mice. Objective To assess the safety and preliminary efficacy of administration of AAVrh.10hFXN to adults with FA cardiomyopathy. Design, Setting, and Participants This nonrandomized clinical trial evaluates the pooled data of 2 independent, open-label, dose-escalation trials that used the same gene therapy vector and similar clinical protocols among patients with FA cardiomyopathy at academic medical centers. Data were collected from February 22, 2022, to October 4, 2025, for trial 1 and from February 14, 2023, to September 10, 2025, for trial 2 and analyzed together from November 5, 2025, to March 12, 2026. Intervention AAVrh.10hFXN, administered intravenously in 3 dose cohorts (1.8 × 10 11 , 5.6 × 10 11 , and 1.2 × 10 12 vector genomes per kilogram of body weight). Main Outcomes and Measures In addition to safety as the primary outcome, multiple parameters of exploratory end points were assessed, including cardiac biopsy levels of FXN protein, cardiac magnetic resonance imaging–derived left ventricular mass index (LVMI), and serum high-sensitivity (hs) troponin I. Results Seventeen patients with FA cardiomyopathy (mean [SD] age, 25 [6] years; 11 [65%] female) were followed up for a mean (SD) of 20 (8) months. There were 4 serious adverse events, 3 possibly related to prednisone immunosuppression and 1 possibly vector-related myocarditis 12 months after therapy, all of which resolved. Other adverse events were transient, nonserious, or not treatment related. In all 8 patients with cardiac biopsy 3 months after therapy, there were higher levels of cardiac FXN (dose cohort 1, 20%; cohort 2, 81%; cohort 3, 123%). After therapy, LVMI was lower by at least 10% in 9 patients and stabilized in 8 patients. Excluding the patient with myocarditis, posttherapy values of serum hs troponin I were lower by at least 10% in 15 patients and higher by at least 10% in 2 patients. Conclusions and Relevance Findings of this nonrandomized clinical trial suggest that intravenous administration of AAVrh.10hFXN was well tolerated and may be a potential treatment for FA cardiomyopathy, as evidenced by preliminary improvement in exploratory efficacy end points. Trial Registration ClinicalTrials.gov Identifiers: NCT05302271 and NCT05445323

Importance Current risk prediction guidelines for hypertrophic cardiomyopathy predict only sudden cardiac death and are imperfect, leading to avoidable deaths and unnecessary implantable cardioverter defibrillators. Objective To combine prospectively collected clinical history, imaging, genetic, and biomarker data to improve risk prediction of adverse events in hypertrophic cardiomyopathy. Design, Setting, and Participants A total of 2750 patients with hypertrophic cardiomyopathy were prospectively enrolled in the registry-based study from 44 sites in North America and Europe with expertise in hypertrophic cardiomyopathy and cardiac magnetic resonance (CMR) imaging. Participants were enrolled from April 1, 2014, to April 7, 2017. Exposures Patients underwent a health history questionnaire, blood sampling for biomarkers and genotyping, and contrast-enhanced CMR. Patients were followed up yearly by telephone and through records review regarding event documentation. Main Outcomes and Measures The predefined composite adjudicated primary end point was time to first event for hypertrophic cardiomyopathy–related deaths; nonfatal sustained ventricular arrhythmias (VAs) requiring cardioversion or defibrillation; and left ventricular (LV) assist device implant or heart transplant. A secondary end point was a composite of sudden cardiac death and nonfatal VA events. The elastic-net method identified the most important predictors. Cox proportional hazards regression assessed associations with time to the first end point. Results Of the 2750 prospectively enrolled patients, 2698 (98%) had analyzable data after 9 were excluded because they had hypertrophic cardiomyopathy phenocopies and 43 withdrew. Of these remaining patients, 1919 (71%) were male, mean age was 50 years (SD, 11 years), and 423 (16%) were from underrepresented racial and minority groups. The mean follow-up was 6.9 years (SD, 2.1 years). The primary event model in 104 patients included LV scar as a percentage of LV mass by late gadolinium enhancement (LGE%; hazard ratio [HR], 1.86; 95% CI, 1.58-2.20; P < .001), LV mass index (HR, 1.09; 95% CI, 1.01-1.17; P = .03), LV end-systolic volume index (HR, 1.28; 95% CI, 1.12-1.46; P < .001 ), all per 10-unit increase, history of heart failure at study entry (HR, 2.89; 95% CI, 1.75-4.77; P < .001), and log N-terminal pro–B-type natriuretic peptide (NT-proBNP; HR, 1.41; 95% CI, 1.17-1.70; P < .001) level per log unit, (C index for all, 0.77). An LGE percentage of the LV mass of 9% or higher substantially increased the primary composite event rate ( P = .001). The secondary sudden cardiac death and VA risk factor model (in 69 patients) included LGE%, LV mass index, LV ejection fraction, and log(NT-proBNP) (C index, 0.76). Conclusions and Relevance These results provide prospective evidence for incorporating cardiac magnetic resonance and NT-proBNP in the evaluation of patients with hypertrophic cardiomyopathy. Trial Registration ClinicalTrials.gov Identifier: NCT01915615

Background Right ventricular (RV) maladaptation to elevated pulmonary afterload is the primary determinant of outcomes in pulmonary artery (PA) hypertension; however, the pathobiological mechanisms underlying RV decompensation remain poorly understood. Methods We performed global untargeted metabolomics on plasma from 55 patients who underwent gold‐standard RV‐PA coupling measurements using multibeat pressure volume loop assessment in a single‐center cohort and from 1027 patients with coupling surrogate measurements in a larger multicenter cohort, the PVDOMICS (Pulmonary Vascular Disease Phenomics) study. Age and sex‐adjusted linear regression was performed to identify associations between metabolites and coupling metrics. Additionally, we performed a metabolic flux analysis using gene expression data from RV tissue in an independent cohort of 32 patients. Partial least squares–discriminant analysis was used to identify metabolites and reactions characteristic of the decompensated RV. Results RV‐PA coupling was negatively associated with tricarboxylic acid (TCA) cycle intermediate levels. Specifically, plasma α‐ketoglutarate and fumarate were significantly associated with all coupling metrics in both cohorts. Metabolic flux analysis indicated that decompensated RVs exhibited aberrant TCA cycle activity, including reduced acetyl coenzyme A entry and increased lactate elimination, suggesting a shift from the TCA cycle toward glycolysis at the RV tissue level. Conclusions We identify an association between circulating TCA cycle intermediate levels and RV‐PA uncoupling in 2 independent cohorts, and dysregulated TCA cycle metabolism in decompensated PA hypertension RVs, suggesting that aberrant TCA cycle metabolism could represent a hallmark of RV maladaptation in PA hypertension. Further study of this pathway is warranted to develop novel biomarkers of RV function or RV‐targeted therapies.

Abstract Purpose Echocardiography (echo) is widely used for right ventricular (RV) assessment. Current techniques for RV evaluation require additional imaging and manual analysis; machine learning (ML) approaches have the potential to provide efficient, fully automated quantification of RV function. Methods An automated ML model was developed to track the tricuspid annulus on echo using a convolutional neural network approach. The model was trained using 7791 image frames, and automated linear and circumferential indices quantifying annular displacement were generated. Automated indices were compared to an independent reference of cardiac magnetic resonance (CMR) defined RV dysfunction (RVEF < 50%). Results A total of 101 patients prospectively underwent echo and CMR: Fully automated annular tracking was uniformly successful; analyses entailed minimal processing time (<1 second for all) and no user editing. Findings demonstrate all automated annular shortening indices to be lower among patients with CMR‐quantified RV dysfunction (all P < .001). Magnitude of ML annular displacement decreased stepwise in relation to population‐based tertiles of TAPSE, with similar results when ML analyses were localized to the septal or lateral annulus (all P ≤ .001). Automated segmentation techniques provided good diagnostic performance (AUC 0.69–0.73) in relation to CMR reference and compared to conventional RV indices (TAPSE and S ′) with high negative predictive value (NPV 84%–87% vs 83%–88%). Reproducibility was higher for ML algorithm as compared to manual segmentation with zero inter‐ and intra‐observer variability and ICC 1.0 (manual ICC: 0.87–0.91). Conclusions This study provides an initial validation of a deep learning system for RV assessment using automated tracking of the tricuspid annulus.