Citations

Antisense oligonucleotides (ASOs) represent a promising therapeutic modality for RNA-based disease mechanisms, but identifying high-efficacy candidates from large sequence spaces remains a major bottleneck in drug development. Here, we present ASOFormer, a novel Transformer-based neural network that predicts the inhibition efficiency of RNase H-mediated ASOs from sequence, predicted secondary structure, and chemical modification features. ASOFormer was trained on a knockdown efficacy dataset spanning over 170,000 ASO-target pairs compiled largely from published patents. Ablation analysis confirmed that the addition of chemical modification features to the primary sequence drove the largest performance gains, with predicted secondary structure providing complementary benefit when combined with modification information. Further analysis highlighted the importance of the wings of gapmer ASOs and other features. As independent validation, ASOFormer was applied to ASOs targeting seven genes that were not in the training dataset gene list. For four out of the seven genes, the ground truth ASO inhibition efficiency was obtained from a public dataset, whereas the others were measured in-house via qPCR. Compared to two published state-of-the-art methods, ASOFormer achieved the best overall accuracy and prioritized the strongest inhibitors. Crucially, only ASOFormer consistently exceeded random expectation for top-candidate recovery across all seven test genes.

Abstract Introduction Quantitative interpretation of pediatric brain [ 18 F]-FDG PET is limited by the lack of age-matched normative reference databases, despite substantial developmental variation in cerebral glucose metabolism. This study aimed to construct a large-scale normative pediatric [ 18 F]-FDG PET database and develop an age-specific z-score mapping framework for quantitative evaluation of pediatric epilepsy. Method Pediatric brain PET data were retrospectively derived from clinically acquired whole-body or dedicated [ 18 F]-FDG PET examinations in participants 0–19 years of age without neurologic disease or visible brain abnormalities. A total of 417 PET scans from 341 participants were stratified into five developmental age groups: infancy, early childhood, middle childhood/school age, adolescence, and late adolescence. SUVR maps were generated using whole-brain atlas and brainstem reference regions. Voxel-wise t-test analyses were performed to characterize age- and sex-related metabolic differences. Age-specific voxel-wise mean and standard deviation maps were generated from the normative cohort and used to calculate age-matched hypometabolic z-score maps in 14 pediatric patients with epilepsy. The resulting abnormalities were qualitatively evaluated for concordance with epileptogenic findings identified on clinical MRI and/or PET by expert image review. Results Voxel-wise analyses demonstrated prominent age-dependent SUVR differences, particularly between infancy and older age groups. With whole-brain atlas normalization, older children showed progressively higher relative SUVR in cortical and cerebellar gray matter regions, whereas infancy showed relatively higher SUVR in the occipital cortex, white matter, thalamus, and brainstem. Brainstem normalization produced distinct developmental patterns, emphasizing higher white matter SUVR in infancy and broader gray matter differences in older groups. Sex-related differences were limited and regionally specific. Whole-brain atlas normalization showed lower variability than brainstem normalization and was selected for z-score mapping. In representative epilepsy cases, age-matched z-score maps identified focal or regional hypometabolism corresponding to malformations of cortical development, focal cortical dysplasia, mesial temporal sclerosis, nonlesional MRI cases, remote insult, tumor-related abnormalities, and Sturge-Weber syndrome. Discussion A large-scale normative pediatric [18F]-FDG PET database can support developmentally appropriate quantitative interpretation of pediatric brain PET. Age-matched z-score mapping may complement visual assessment by highlighting abnormal cerebral glucose metabolism in pediatric epilepsy, although findings should be interpreted with MRI, EEG, seizure semiology, and other presurgical data.

Abstract Objectives To compare the efficacy and safety of pharmacologic therapies for spontaneous epistaxis in hereditary hemorrhagic telangiectasia (HHT). Data Sources PubMed, Scopus, Embase, Web of Science, and the Cochrane Library were systematically searched up to August 2025. Review Methods Eligible randomized controlled trials evaluating bevacizumab, doxycycline, tranexamic acid, or β‐blockers versus placebo or standard care were included. Outcomes included epistaxis frequency and duration, hemoglobin (Hb), epistaxis severity score (ESS), transfusion or emergent‐care requirements, quality of life (QOL), and adverse events. Results Tranexamic acid did not significantly reduce epistaxis duration or frequency or improve Hb, and it did not change transfusion or emergent‐care needs, but it increased diarrhea (odds ratio 3.8, 95% confidence interval [CI] [1.7; 8.5]). Bevacizumab produced a modest reduction in epistaxis frequency (standardized mean difference −0.25, 95% CI [−0.47; −0.02]), without significant effects on duration, ESS, Hb, or QOL. Doxycycline showed no significant benefit for duration or frequency. Topical or systemic β‐blockers did not significantly affect ESS, QOL, Hb, or overall adverse events. Across agents, between‐study heterogeneity was generally low to moderate and CIs were wide, reflecting limited sample sizes. Conclusion No pharmacologic agent demonstrated consistent, clinically robust superiority over placebo across primary endpoints. Bevacizumab may modestly reduce bleeding burden, whereas tranexamic acid increases gastrointestinal toxicity without clear efficacy. Pharmacologic control of HHT‐related epistaxis remains suboptimal, underscoring the need for adequately powered trials with standardized outcome measures and optimized dosing and delivery strategies.

Background Connective tissue disorders (CTDs) such as Marfan syndrome, Loeys-Dietz syndrome, and Ehlers-Danlos syndromes are traditionally defined by vascular fragility and aortic complications. Increasing evidence, however, demonstrates that CTDs also predispose to atrial and ventricular arrhythmias, often independent of overt cardiomyopathy or severe valvular disease. Content This review integrates emerging data on the arrhythmogenic substrates of CTDs. Four mechanistic bridges are emphasized: (1) diffuse myocardial fibrosis driven by dysregulated TGF-β signaling, (2) structural valve and annular abnormalities, particularly mitral valve prolapse and mitral annular disjunction, (3) altered mechanotransduction linking extracellular matrix instability to cytoskeletal and nuclear signaling pathways, and (4) downstream ion-channel and gap-junction remodeling as secondary amplifiers. We outline the genetic architecture underlying these processes, focusing on established CTD-implicated genes in the TGF-β/SMAD pathway, valve and annulus regulators, cytoskeletal and myocyte-coupling proteins, and extracellular matrix components, while incorporating emerging CTD modifiers that expand the spectrum of arrhythmia susceptibility. Summary Recognition of CTDs as both vascular and electrical disorders reframes clinical management. Imaging markers such as mitral annular disjunction and diffuse fibrosis, together with targeted ambulatory rhythm monitoring and consideration of genetic context, may improve recognition of higher-risk phenotypes. Therapeutic strategies must balance arrhythmia control with procedural risk in fragile connective tissue substrates. Conclusions By unifying genetic, mechanistic, and clinical insights, this review provides an integrated framework for understanding arrhythmias in CTDs. It underscores the need for prospective registries and genotype-phenotype studies to refine surveillance and prevention strategies.

Background: Several breast cancer (BC) risk prediction models have been developed to provide personal risk assessments. Though individually validated, their performance has not been systematically evaluated across a wide range of populations or ages. Methods: We harmonized individual-level baseline questionnaire data and incident BC diagnoses from 21 cohorts from North America, Europe, and Australia participating in the Breast Cancer Risk Prediction Project. Five-year absolute risk of invasive BC was estimated for five established risk prediction models using classical risk factors only. Discrimination was evaluated by area under the curve (AUC). Calibration was assessed using average and risk-decile specific expected to observed (E/O) ratios. Performance metrics were meta-analyzed across cohorts and models. Metaregression tested associations between cohort characteristics and performance metrics. Results: This analysis included 1,595,977 women aged 20-75 years, enrolled in studies between 1976-2015, with 19,062 (1.2%) invasive BC cases ascertained within 5 years from exposure assessment. Age-adjusted AUCs were similar across models and cohorts (pooled AUCs by model: 0.57-0.58), while E/O ratios varied substantially (pooled E/O ratios by model: 0.83-1.25). Overestimation was common among predicted high-risk individuals (>3%). No appreciable differences in model performance by cohort age, birth year, race, and variable missingness emerged. Calibration improved after assigning race-specific incidence rates. Conclusion: Existing BC risk prediction models provided similar risk discrimination across multiple cohorts, although there was overestimation of risk for high-risk individuals. Performance variation across cohorts was not driven by specific characteristics, which supports development of a unified risk model for diverse populations that leverages appropriate incidence rates.

ABSTRACT Studies in humans and murine models have pointed towards a possible link between metabolic syndrome, which shows insulin resistance and metabolic dysregulation, and Alzheimer’s disease (AD) pathology marked by amyloid-beta (Aβ) accumulation at the BBB and hypometabolism in the brain. Yet, the underlying biological mechanisms by which metabolic syndrome affects these pathological changes in AD brain remain unknown. We hypothesized that insulin resistance is responsible for alterations in blood-brain barrier (BBB) transport of Aβ peptides and glucose. This hypothesis was tested by employing radiolabeled tracers ( 125 I-Aβ40, 125 I-Aβ42, and 18 F-FDG) in high-fat diet (HFD)-fed mouse models that manifest metabolic syndrome. Further, we assessed alterations in the expression of various molecular mediators within the brain microcapillaries harvested from both low-fat diet (LFD)-fed and HFD-fed mice. As expected, our studies show that HFD- fed mice developed peripheral insulin resistance and obesity. In addition, HFD-fed mice demonstrated an increase in the influx rate of Aβ peptides and a reduction in 18 F-FDG (a glucose surrogate) influx rate at the BBB compared to LFD-fed mice. These transport changes are associated with increase in the BBB endothelial expression of RAGE (receptor to traffic Aβ from plasma-to-brain) and a reduction of GLUT1 (glucose transporter) expression in HFD-fed mice compared to LFD-fed mice. Moreover, disruption in insulin signaling, as indicated by reduced pAKT and pERK expression, was observed in HFD-fed mice. Inhibiting AKT or ERK phosphorylation with specific inhibitors resulted in similar changes in Aβ and glucose uptake in polarized BBB endothelial cell monolayers in vitro. These results indicate that HFD induced metabolic syndrome may lead to BBB dysfunction, characterized by increased plasma-to-brain Aβ trafficking and diminished glucose transport at the BBB, thereby aggravating the expression of AD pathological hallmarks.

Abstract Background Recurrence of symptomatic atrial fibrillation (AF) after catheter ablation (CA) is not uncommon. However, real-world long-term data on clinical outcomes of rhythm control strategies in patients with recurrent AF after CA remain limited. Methods Using the TriNetX database, we identified adult patients (≥18 years) with recurrent AF after index CA. A 3-month blanking period was applied, during which no rhythm-control therapy was received. Patients were classified into two groups: repeat CA or initiation of antiarrhythmic drug (AAD) therapy. Propensity score matching (PSM) was performed to balance baseline characteristics. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated. Outcomes included all-cause mortality, all-cause hospitalization, heart failure (HF) exacerbation, ischemic stroke, and major bleeding over 5 years. Results Among 4,056 patients with recurrent AF post-CA, 17.2% underwent repeat CA. After PSM, 697 patients in the repeat CA group (mean age 68.9 ± 9.6 years; 35.7% female) and 697 in the AAD group (mean age 68.4 ± 10.0 years; 37.6% female) were analyzed. Repeat CA was associated with lower all-cause mortality (3.3% vs 8.2%; HR 0.44; 95% CI, 0.27–0.72; P < 0.01), all-cause hospitalization (42.8% vs 56.4%; HR 0.71; 95% CI, 0.61–0.82; P < 0.01) and HF exacerbation (12.5% vs 24.8%; HR 0.50; 95% CI, 0.39–0.64; P < 0.01). No differences were observed in ischemic stroke (5.3% vs 4.7%; HR 1.22; 95% CI, 0.77–1.96; P = 0.40) or major bleeding (4.6% vs 6.2%; HR 0.82; 95% CI, 0.52–1.29; P = 0.39). Conclusions Repeat CA was associated with lower mortality, hospitalization, and HF exacerbation over 5 years.

ABSTRACT Background Atrial fibrillation (AF) is prevalent in cardiac amyloidosis (CA) and is associated with adverse clinical outcomes. Catheter ablation is increasingly used for rhythm control in this population, yet its clinical outcomes remain uncertain. We performed a systematic review and meta‐analysis to evaluate arrhythmia recurrence and clinical outcomes following catheter ablation compared with medical therapy in patients with CA. Methods We systematically searched MEDLINE, Embase, and Scopus from inception through December 2025 for studies evaluating catheter ablation of atrial arrhythmias in CA. Cohort studies reporting arrhythmia recurrence and/or clinical outcomes were included. The primary outcome was freedom from atrial arrhythmia (AA) following ablation. Secondary outcomes included all‐cause mortality, heart failure hospitalization, and stroke. Random‐effects models were used to pool event rates and odds ratios (ORs). Results Thirteen observational studies comprising 797 patients with CA and AF were included. The pooled rate of freedom from AA following catheter ablation was approximately 50% (95% CI 37%–63%; I 2 = 71.7%). The all‐cause mortality analysis included 4 observational studies comprising 616 patients. Catheter ablation was associated with lower odds of all‐cause mortality (OR 0.26, 95% CI 0.11–0.60; I 2 = 18.4%); however, this association should be interpreted with caution given the retrospective design and risk of bias. No statistically significant differences were observed for heart failure hospitalization or stroke. Conclusions In patients with CA, catheter ablation was associated with modest arrhythmia‐free survival and lower odds of all‐cause mortality. However, all contributing studies were observational cohorts. Randomized studies are needed to confirm these findings.

OBJECTIVE Genetic variation in the glucagon-like peptide 1 receptor (GLP1R) has been implicated in type 2 diabetes (T2D) risk and treatment response. We investigated whether GLP1R R131Q, which was previously reported as a T2D-protective variant in genome-wide association studies, alters receptor signaling, β-cell function, and response to glucagon-like peptide 1 receptor agonists (GLP-1RAs). RESEARCH DESIGN AND METHODS Trajectory of β-cell function was evaluated in a 20-year community-based prospective cohort in Korea (n = 6,373), where participants underwent biennial 2-h 75-g oral glucose tolerance tests, and disposition index was used as surrogate marker. Pharmacogenetic response to GLP-1RAs was assessed in a hospital-based T2D cohort in Korea (n = 177). Hyperglycemic clamp studies (n = 17), human islet experiments (n = 21), and in vitro assays were conducted to characterize GLP1R R131Q effects on receptor signaling and islet function. RESULTS GLP1R R131Q was associated with slower decline in disposition index in individuals without T2D, with reductions from baseline of 30% in homozygous carriers, 35% in heterozygotes, and 37% in wild-type individuals. In people with T2D, each allele conferred an additional 0.53% or 5.8 mmol/mol reduction in HbA1c after 6 months of GLP-1RA treatment (P = 5.8 × 10−4). Hyperglycemic clamp and human islet experiments demonstrated allele-dependent enhancement of GLP-1RA–stimulated insulin secretion (P = 0.050 and P = 0.037, respectively). In vitro, GLP1R R131Q increased GLP-1RA–stimulated cAMP production with directional observations consistent with pathway bias. CONCLUSIONS GLP1R R131Q is a gain-of-function variant associated with preservation of β-cell function and enhanced glycemic response to GLP-1RA treatment, supporting further investigation as a candidate pharmacogenetic marker for precision diabetes care.