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Daily Report

Daily Cardiology Research Analysis

07/18/2025
3 papers selected
3 analyzed

Three standout cardiology studies emerged: (1) a multicenter study shows AI-enabled echocardiography and ECG can flag transthyretin amyloid cardiomyopathy years before diagnosis; (2) an epigenetic CRISPR screen identifies novel regulators of vascular calcification, nominating ANTXR1 as a target; (3) a meta-analysis demonstrates durable, multi-year blood pressure reduction after radiofrequency renal denervation with low complication rates.

Summary

Three standout cardiology studies emerged: (1) a multicenter study shows AI-enabled echocardiography and ECG can flag transthyretin amyloid cardiomyopathy years before diagnosis; (2) an epigenetic CRISPR screen identifies novel regulators of vascular calcification, nominating ANTXR1 as a target; (3) a meta-analysis demonstrates durable, multi-year blood pressure reduction after radiofrequency renal denervation with low complication rates.

Research Themes

  • AI-enabled early detection and risk stratification in cardiomyopathy
  • Epigenetic regulation and targets in vascular calcification
  • Device-based hypertension therapy with durable long-term outcomes

Selected Articles

1. Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy.

76Level IIICohort
European heart journal · 2025PMID: 40679604

Deep learning applied to standard TTE videos and ECG images produced ATTR-CM probabilities that diverged up to 3 years before diagnosis across two health systems. Dual-modality screening provided high sensitivity when both negative and high specificity when both positive, supporting scalable preclinical risk stratification.

Impact: This work operationalizes AI on ubiquitous tests (ECG/TTE) to detect a lethal cardiomyopathy years earlier, potentially reshaping screening and diagnostic pathways without expensive tracers.

Clinical Implications: Health systems could deploy AI-ECG/Echo as a pretest triage tool to prioritize nuclear imaging for high probability cases and reassure low-risk patients, enabling earlier referral and treatment consideration.

Key Findings

  • AI-derived ATTR-CM probabilities from 7,352 TTEs and 32,205 ECGs diverged between future cases and controls up to 3 years pre-diagnosis (ptime×group ≤ .004).
  • Dual-negative screen (threshold 0.05) achieved sensitivity of 90.9% (internal) and 85.7% (external); dual-positive achieved specificity of 85.5% and 88.9%.
  • External validation across two health systems (YNHHS n=984; HMH n=806) confirmed generalizability.

Methodological Strengths

  • Multicenter external validation with large datasets and longitudinal modeling
  • Dual-modality AI leveraging both imaging (TTE) and signals (ECG) increases robustness

Limitations

  • Retrospective design with potential selection bias and threshold optimization concerns
  • No prospective clinical outcomes to confirm AI-triggered management improves prognosis

Future Directions: Prospective, pragmatic trials to test AI-ECG/Echo-enabled screening pathways, cost-effectiveness, and impact on time-to-diagnosis and outcomes, with diverse populations.

BACKGROUND AND AIMS: The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanced imaging, precluding large-scale preclinical testing. Artificial intelligence (AI)-enabled transthoracic echocardiography (TTE) and electrocardiography (ECG) may provide a scalable strategy for preclinical monitoring. METHODS: This was a retrospective analysis of individuals referred for nuclear cardiac amyloid testing at the Yale-New Haven Health System (YNHHS, internal cohort) and Houston Methodist Hospitals (HMH, external cohort). Deep learning models trained to discriminate ATTR-CM from age/sex-matched controls on TTE videos (AI-Echo) and ECG images (AI-ECG) were deployed to generate study-level ATTR-CM probabilities (0%-100%). Longitudinal trends in AI-derived probabilities were examined using age/sex-adjusted linear mixed models, and their discrimination of future disease was evaluated across preclinical stages. RESULTS: Among 984 participants at YNHHS (median age 74 years, 44.3% female) and 806 at HMH (median age 69 years, 34.5% female), 112 (11.4%) and 174 (21.6%) tested positive for ATTR-CM, respectively. Across cohorts and modalities, AI-derived ATTR-CM probabilities from 7352 TTEs and 32 205 ECGs diverged as early as 3 years before diagnosis in cases vs controls (ptime(x)group interaction ≤ .004). Among those with both AI-Echo and AI-ECG probabilities available 1 to 3 years before nuclear testing [n = 433 (YNHHS) sand 174 (HMH)], a double-negative screen at a 0.05 threshold [164 (37.9%) and 66 (37.9%), vs all else] had 90.9% and 85.7% sensitivity (specificity of 40.3% and 41.2%), whereas a double-positive screen [78 (18.0%) and 26 (14.9%), vs all else] had 85.5% and 88.9% specificity (sensitivity of 60.6% and 42.9%). CONCLUSIONS: Artificial intelligence-enabled echocardiography and electrocardiography may enable scalable risk stratification of ATTR-CM during its preclinical course.

2. Identification of Epigenetic Regulators of Vascular Calcification with a CRISPR-Based Screen.

74.5Level VBasic/Mechanistic
Journal of the American Society of Nephrology : JASN · 2025PMID: 40679866

An epigenetic-focused CRISPR screen in primary human VSMCs identified 122 positive and 116 negative regulators of vascular calcification, with integrative analyses nominating 17 critical regulators. ANTXR1 emerged as a top hit, was upregulated in human calcified samples, and was functionally investigated in mouse models.

Impact: This study pioneers a sorting-enabled CRISPR screening platform for vascular calcification and delivers tractable targets, bridging discovery science to translational opportunities for cardiovascular disease in CKD.

Clinical Implications: While preclinical, the identification of epigenetic regulators such as ANTXR1 could yield druggable pathways to mitigate vascular calcification—a key contributor to cardiovascular events in CKD.

Key Findings

  • A MACS-enabled CRISPR screen in primary human VSMCs identified 122 positive and 116 negative regulators of calcification.
  • Integration with transcriptomics highlighted 17 critical regulators; ANTXR1 was upregulated in human calcified tissues.
  • Functional validation across in vitro assays and mouse models supported roles of top-ranked genes in osteogenic transdifferentiation.

Methodological Strengths

  • Primary human VSMCs with phenotype-based sorting (RANKL+ vs RANKL−) for high biological relevance
  • Orthogonal validation (siRNA, Alizarin Red S staining) and multi-system corroboration including human samples and mice

Limitations

  • Focused epigenetic library may miss non-epigenetic regulators; genome-wide coverage not reported
  • Preclinical findings; therapeutic efficacy and safety remain to be tested in humans

Future Directions: Prioritize top regulators for drug discovery, define mechanism of ANTXR1 in calcification in vivo, and evaluate translational biomarkers and target modulation in early-phase trials.

KEY POINTS: Magnetic-activated cell sorting–based clustered regularly interspaced short palindromic repeats (CRISPR) screen was used for the first time to identify critical genes and pathways involved in vascular calcification. Epigenetic-focused CRISPR screen identified novel vascular calcification regulators, providing potential targets when integrated with transcriptomics. BACKGROUND: Vascular calcification, mainly driven by osteogenic transdifferentiation of vascular smooth muscle cells (VSMCs), is a common pathologic condition in patients with CKD. However, the roles of other epigenetic regulators in this process remain largely unexplored. Clustered regularly interspaced short palindromic repeats (CRISPR) screen is a highly efficient strategy widely used in identifying genes related to various biologic processes. However, the lack of suitable cell sorting strategies combined with CRISPR screen meant this technology had not been applied to gene screening in vascular calcification. METHODS: We performed an epigenetic-focused CRISPR screen in primary human VSMCs and identified key genes and pathways underlying osteogenic transdifferentiation, based on small guide RNA enrichment in receptor activator of NF-kappa B ligand-positive (calcified) and receptor activator of NF-kappa B ligand-negative (noncalcified) VSMCs isolated by magnetic-activated cell sorting. To validate the screen results, potential genes with different rankings were validated by small interfering RNA intervention and Alizarin Red S staining. Integrating CRISPR results with transcriptome data revealed 17 critical regulators. We further investigated the top hit, anthrax toxin receptor 1 (ANTXR1), in vascular calcification by examining clinical human samples and intervention in mice model. RESULTS: Through CRISPR screen, we identified 122 potential positive-regulating vascular calcification genes and 116 negative-regulating genes. Phenotypic experimental results further verified the roles of genes with different rankings in osteogenic transdifferentiation of VSMCs, reinforcing the validity of our CRISPR screen system. Notably, integrative analysis of CRISPR screen with transcriptome data revealed ANTXR1 as a critical factor regulating vascular calcification. Furthermore, detection of clinical human samples confirmed the upregulation of ANTXR1 during calcification. Knockdown of CONCLUSIONS: Our epigenetic-focused CRISPR screen and transcriptome analysis identified critical epigenetic genes involved in vascular calcification.

3. Long-term outcomes following radiofrequency renal denervation: meta-analysis of 18 reports.

74Level IIMeta-analysis
European journal of preventive cardiology · 2025PMID: 40676971

Across 18 reports and 2,212 patients with mean 4.4-year follow-up, RF renal denervation produced durable reductions in office SBP (−23 mmHg) and 24-hour SBP (−13.6 mmHg) with rare renal artery complications. Medication burden and eGFR decreased, while heart rate remained stable.

Impact: Provides the strongest synthesis to date of multi-year BP durability and safety for RF renal denervation, informing guideline and payer decisions for resistant/uncontrolled hypertension.

Clinical Implications: For patients with resistant or uncontrolled hypertension, RDN can be considered as an adjunctive option with durable BP reduction; structured follow-up should include renal function monitoring.

Key Findings

  • Mean office SBP decreased by −23.0 mmHg and 24-hour SBP by −13.6 mmHg through ≥3 years (random/fixed effects consistent).
  • Nighttime SBP decreased by −14.2 mmHg; diastolic BP reductions paralleled systolic findings.
  • Renal artery complications were rare (0.14%); antihypertensive medication count and eGFR declined over time.

Methodological Strengths

  • Long-term follow-up (mean 4.4 years) across multiple device generations with both office and ambulatory BP endpoints
  • Random-effects meta-analysis with consistent fixed-effects sensitivity

Limitations

  • Mix of randomized and observational studies introduces heterogeneity and potential bias
  • Patient-level data limited; renal function decline findings need cautious interpretation

Future Directions: Standardize patient selection, integrate patient-level meta-analysis, and assess outcomes beyond BP (events, quality of life, cost-effectiveness) in contemporary RDN programs.

AIMS: Radiofrequency renal denervation (RF RDN) safely lowers office and 24-hour blood pressure (BP). This meta-analysis examined the long-term durability of RF RDN based on randomized trials and observational studies. METHODS: Patients with uncontrolled hypertension undergoing RF RDN using the Symplicity Flex™ or Spyral™ device and a minimum follow-up of 3 years were included. Key outcomes included office and 24-hour BP change from baseline as well as changes in antihypertensive drugs. A random effects meta-analysis was conducted through 3 years, or the last reported follow-up beyond 3 years. RESULTS: A total of 2,212 patients identified among 18 reports were evaluated for BP. Mean duration of follow-up was 4.4 years (range 3 to 9.4). The long-term reduction in office systolic BP (OSBP) from baseline in 15 reports (N= 2,040) was -23.0 mmHg (95%CI: -26.8 to -19.1, p<0.05) for the random effects model and -. 24-hour ambulatory systolic BP was available in 11 reports (n=1,018) and decreased significantly by -13.6 mmHg (-16.5 to -10.8, p<0.05). Fixed effect model results were similar. Diastolic office and 24-hr BP paralleled these findings in both models. Nighttime systolic BP also decreased significantly by -14.2 mmHg (-27.6 to -0.8, p<0.05). The number of prescribed antihypertensive drugs and eGFR also decreased. Heart rate remained unchanged through final follow-up in both models. Safety events were rare, with a mean rate of renal artery complication of 0.14% (0.08% to 0.20%). CONCLUSIONS: This meta-analysis comprising 18 studies demonstrated sustained and significant office and ambulatory BP reductions following Symplicity RDN through at least 3 years without an increase in antihypertensive medication. This meta-analysis of 18 studies and over 2000 patients demonstrated sustained and significant office and ambulatory BP reductions following radiofrequency RDN for uncontrolled hypertension through at least 3 years without an increase in antihypertensive medication. office systolic blood pressure decreased by -23.0 mmHg (95%CI: -26.8 to -19.1, p<0.05)24-hour ambulatory systolic blood pressure decreased by -13.6 mmHg (-16.5 to -10.8, p<0.05).