Pulmonary arterial hypertension (PAH) is characterized by increased pulmonary artery pressure and vascular resistance, typically leading to right heart failure and death. Current therapies improve quality of life of the patients but have a modest effect on long-term survival. A detailed transcriptomics and systems biology view of the PAH lung is expected to provide new testable hypotheses for exploring novel treatments. We completed transcriptomics analysis of PAH and control lung tissue to develop disease-specific and clinical data/tissue pathology gene expression classifiers from expression datasets. Gene expression data were integrated into pathway analyses. Gene expression microarray data were collected from 58 PAH and 25 control lung tissues. The strength of the dataset and its derived disease classifier was validated using multiple approaches. Pathways and upstream regulators analyses was completed with standard and novel graphical approaches. The PAH lung dataset identified expression patterns specific to PAH subtypes, clinical parameters, and lung pathology variables. Pathway analyses indicate the important global role of TNF and transforming growth factor signaling pathways. In addition, novel upstream regulators and insight into the cellular and innate immune responses driving PAH were identified. Finally, WNT-signaling pathways may be a major determinant underlying the observed sex differences in PAH. This study provides a transcriptional framework for the PAH-diseased lung, supported by previously reported findings, and will be a valuable resource to the PAH research community. Our investigation revealed novel potential targets and pathways amenable to further study in a variety of experimental systems.

Breast arterial calcification (BAC) on mammograms has emerged as a biomarker of women’s cardiovascular disease (CVD) risk, but there is a lack of quantification tools and clinical outcomes studies. This study assessed the association of BAC (both presence and quantity) with CVD outcomes. This single-center, retrospective study included women with a screening mammogram from 2007 to 2016. BAC was quantified using an artificial intelligence-generated score, which was assessed as both a binary and continuous variable. Regression analyses evaluated the association between BAC and mortality and a composite of acute myocardial infarction, heart failure, stroke, and mortality. Analyses were adjusted for age, race, diabetes, smoking, blood pressure, cholesterol, and history of CVD and chronic kidney disease. A total of 18,092 women were included in this study (mean age 56.8 ± 11.0 years; diabetes [13%], hypertension [36%], hyperlipidemia [40%], and smoking [5%]). BAC was present in 4,223 (23%). Over a median follow-up of 6 years, death occurred in 7.8% and 2.3% of women with and without BAC, respectively. The composite occurred in 12.4% and 4.3% of women with and without BAC, respectively. Compared to those without, women with BAC had adjusted HRs of 1.49 (95% CI: 1.33-1.67) for mortality and 1.56 (95% CI: 1.41-1.72) for the composite. Each 10-point increase in the BAC score was associated with higher risk of mortality (HR: 1.08 [95% CI: 1.06-1.11]) and the composite (HR: 1.08 [95% CI: 1.06-1.10]). BAC was especially predictive of future events among younger women. BAC is independently associated with mortality and CVD, especially among younger women. Measurement of BAC beyond presence adds incremental risk stratification. Quantifying BAC using an artificial intelligence algorithm is feasible, clinically relevant, and may improve personalized CVD risk stratification.

The impact of utilizing donation after circulatory death (DCD) hearts on waitlist outcomes has not been substantiated. We retrospectively analyzed 184 heart transplant (HT) candidates at our institution from 2019 to 2021. Patients were stratified into two observation periods centered on September 12, 2020, when the adult DCD HT program officially began. Primary outcome was a comparison of transplant rate between Period 1 (pre-DCD) and Period 2 (post-DCD). Secondary outcomes included waitlist time-to-transplant, waitlist mortality rate, independent predictors of incidence of HT, and post-transplant outcomes. A total of 165 HTs (n=92 in Period 1 and n=73 in Period 2) were performed. Median waitlist time-to-transplant decreased from 47.5 to 19 days in Period 1 and Period 2, respectively (p=0.004). Transplant rate increased from 181 per 100 patient-years in Period 1 to 579 per 100 patient-years in Period 2 (IRR 1.87, 95% CI 1.04-3.38, p=0.038). There were no statistical differences in waitlist mortality rate (p=0.566) and 1-year survival (p=0.699) between the two periods. DCD HTs (n=36) contributed to 49.3% of overall HT activity in Period 2. We concluded that utilization of DCD hearts significantly reduced waitlist time and increased transplant rate. Short-term post-transplant outcomes were comparable between the pre- and post-DCD periods.

Dilated cardiomyopathy (DCM) is a common cause of heart failure and is the primary indication for heart transplantation. A genetic etiology can be found in 20-35% of patients with DCM, especially in those with a family history of cardiomyopathy or sudden cardiac death at an early age. With advancements in genome sequencing, the understanding of genotype-phenotype relationships in DCM has expanded with over 60 genes implicated in the disease. Subsequently, these findings have increased adoption of genetic testing in the management of DCM, which has allowed for improved risk stratification and identification of at risk family members. In this review, we discuss the genetic evaluation of DCM with a focus on practical genetic testing considerations, genotype-phenotype associations, and insights into upcoming personalized therapies.

Background: Myocardial strain can identify subclinical left ventricular dysfunction in various cardiac diseases, but its association with clinical outcomes in genetic cardiomyopathies remains unknown. Herein, we assessed myocardial strain in patients with Danon disease (DD), a rare X‐linked autophagic disorder that causes severe cardiac manifestations. Methods and Results: Echocardiographic images were reviewed and used to calculate myocardial strain from a retrospective, international registry of patients with DD. Regression analyses were performed to evaluate for an association of global longitudinal strain (GLS) and ejection fraction with the composite outcome (death, ventricular assist device, heart transplantation, and implantable cardioverter defibrillator for secondary prevention). A total of 22 patients with DD (male 14 [63.6%], median age 16.5 years) had sufficient echocardiograms for analysis. Absolute GLS was reduced with a mean of 12.2% with an apical‐sparing pattern observed. Univariable regression for GLS and composite outcome showed an odds ratio of 1.32 (95% CI, 1.02–1.71) with P =0.03. For receiver operating characteristic analysis, the areas under the curve for GLS and ejection fraction were 0.810 ( P =0.02) and 0.605 ( P =0.44), respectively. An absolute GLS cutoff of 10.0% yielded a true positive rate of 85.7% and false positive rate of 13.3%. Conclusions: In this cohort of patients with DD, GLS may be a useful assessment of myocardial function and may predict clinical outcomes. This study highlights the potential use of myocardial strain phenotyping to monitor disease progression and potentially to predict clinical outcomes in DD and other genetic cardiomyopathies.

Genetic cardiomyopathies (CM) are increasingly recognized as causes of end-stage heart failure (ESHF). Identification of a genetic etiology in ESHF has important prognostic and family implications. However, genetic testing practices are understudied in ESHF patients. This single-center, retrospective study included consecutive ESHF patients who underwent heart transplantation (HT) or left ventricular assist device (LVAD) from 2018 to 2023. Data, including genetic testing and pathology reports, were collected from the electronic medical record. Analyses of demographic and clinical characteristics were stratified by genetic testing completion and presence of clinically actionable variant. Logistic regression was performed to evaluate for associations between histology findings and genetic variants. A total of 529 adult patients (mean age 57 years) were included in the study and were predominantly male (79%, 422/529) and non-white (61%, 322/529). Genetic testing was performed in 54% (196/360) of patients with either non-ischemic or mixed CM. A clinically actionable result was identified in 36% (70/196) of patients, of which, only 43% (30/70) had a genetic counselor referral. The most common genetic variants were TTN (32%, 24/75), MYBPC3 (13%, 10/75), and TTR (11%, 8/75). Clinically actionable variants were identified in patients with known heart failure precipitators, such as alcohol use. In multivariable analysis, presence of interstitial fibrosis, specifically diffuse, on pathology was significantly associated with a clinically actionable variant (aOR 2.29, 95% CI [1.08-4.86], p = 0.03). ESHF patients with non-ischemic or mixed CM undergoing advanced therapies had a low uptake of genetic services, including testing and counselors, despite a high burden of genetic disease. Pathology findings, such as interstitial fibrosis, may provide insight into genetic etiology. The underutilization of services suggests a need for implementation strategies to improve uptake.