Citations

Abstract Genome-wide association studies (GWAS) have linked more than a hundred non-coding genomic loci to Parkinson’s disease (PD) risk. Deciphering their functional impact on gene regulation requires cell type-aware modeling approaches to assess the effects of sequence variation on enhancer function and target gene expression. To address this challenge, we generated a comprehensive matched dataset from 190 human donors (115 controls and 75 PD), comprising long-read whole-genome sequencing alongside single nucleus multiome atlases (snATAC-seq and snRNA-seq for 3.1 and 1.1 million nuclei respectively) of the anterior cingulate cortex and substantia nigra. By integrating chromatin accessibility quantitative trait loci (caQTL), DNA methylation QTL (meQTL), and allele-specific chromatin accessibility (ASCA), we identified 53,841 high-confidence cis -acting genetic variants that modulate cell type-specific enhancer accessibility in one or both brain regions. We further demonstrate that sequence-to-function models can accurately predict the impact of these variants directly from the genomic sequence. Novel explainability approaches allowed stratifying these variants according to their regulatory function, with the majority disrupting specific transcription factor binding sites in a cell type specific manner. Integrating these “enhancer variants” (EV) with eQTL mapping and gene locus modeling linked a subset of EVs to their target genes. Finally, we applied these models to prioritize regulatory variants at known PD GWAS loci, bypassing statistical limitations in rare disease-relevant populations like dopaminergic neurons. All together, we establish a unique resource and new sequence modeling strategies to interpret functional non-coding variation in the human brain.

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare, with applications ranging from predictive analytics to clinical decision support. In clinical nutrition, AI tools offer opportunities to improve workflow efficiency, enhance dietary assessment, and personalize nutrition care. Despite growing interest, little is known about registered dietitian nutritionists’ (RDNs) perceptions of AI in clinical practice. The aim of the present study was to assess RDNs’ attitudes toward AI use within a large healthcare system, along with their perceived barriers in this regard. Methods: A cross-sectional survey was developed through expert review and distributed electronically via REDCap to RDNs across Mayo Clinic’s academic campuses and affiliated health system sites. The 23-item survey included Likert-scale items addressing AI’s potential utilization within clinical care, perceived benefits and risks, and readiness for adoption. Responses were summarized using descriptive statistics. Factor analysis identified underlying constructs related to AI attitudes. Differences stratified by age and years of experience were evaluated using ANOVA. Results: Of the 185 RDNs invited, 64 (35%) responded. Two factors emerged: optimism regarding AI usage (Cronbach’s α = 0.94) and skepticism about implementation (α = 0.76). The overall mean ± SD score for optimism was 0.1 ± 0.6 (neutral), while skepticism averaged 1.0 ± 0.6 (moderate). Skepticism differed by years of experience (p = 0.012), with the lowest levels observed among RDNs with ≥21 years of practice. No significant differences were observed across age groups. Discussion: RDNs demonstrated neutral attitudes toward AI use but expressed concerns about accuracy, training, and implementation challenges. Addressing these concerns through education and structured implementation strategies may facilitate successful adoption of AI in dietetic practice.

The 2025 Voice AI Symposium represented a transition from conceptual research to clinical implementation in vocal biomarker science. Hosted by the NIH-funded Bridge2AI-Voice consortium, the meeting convened global experts to address the methodological, ethical, and translational challenges of integrating voice-based artificial intelligence (AI) into healthcare. This mini-review synthesizes symposium insights across six domains: multimodal integration, FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) data governance, clinical translation, interdisciplinary training, and cross-sector innovation. Research presented demonstrated voice as a latent, multimodal biomarker reflecting neurological, cardiopulmonary, and psychological states, while discussions emphasized ethical data practices and human-centered design. The implementation-focused panels underscored the importance of workflow alignment and usability for adoption in real-world care. Collectively, the symposium reflects a field advancing toward translational readiness and ethical accountability, positioning voice AI as a scalable, inclusive tool for next-generation healthcare.

ABSTRACT Background Chemotherapy‐induced peripheral neuropathy (CIPN), characterized by loss of sensation and impaired physical function, is a prevalent and debilitating side effect of chemotherapy, affecting 30%–50% of breast cancer survivors (BCS) with effects lasting years after treatment completion. Mindfulness‐based interventions are shown to be efficacious in reducing symptoms in neuropathies. This subgroup analysis examined the effect of Mindfulness‐Based Stress Reduction on Breast Cancer (MBSR(BC)) compared to Breast Cancer Education Support (BCES) or Usual Care (UC) on CIPN among BCS who received chemotherapy or chemotherapy and radiation. Methods BCS ( n = 114) were randomly assigned to the 6‐week MBSR(BC) ( n = 48), BCES ( n = 52), or UC ( n = 14) regimen. Demographic and clinical data were assessed at baseline, and CIPN was assessed using the Chemotherapy‐Induced Peripheral Neuropathy assessment tool (CIPNAT) at baseline, 6, 12, and 26 weeks. Between‐ and within‐group differences were evaluated and change over time was compared between groups. Results BCS (mean age = 52.7 years, range: 28–81 years) were primarily White and non‐Hispanic ( n = 78, 68%). The pattern of effect sizes was similar for CIPNAT symptoms and interference with improvements in CIPN for MBSR(BC) and BCES groups overtime. For both groups, the effects were larger compared to the UC. Differences tended to increase over time with significant effects observed between MBSR(BC) and UC, and between BCES and UC at weeks 12 and 26. Conclusions The findings indicate that MBSR(BC) and BCES may effectively reduce CIPN symptoms among BCS compared to UC. MBSR(BC) and BCES programs are effective non‐pharmacological interventions for CIPN that may translate into practice.

Abstract Context Data on cognition in patients with primary aldosteronism (PA) are scarce. Mild autonomous cortisol secretion (MACS), defined based on post-dexamethasone cortisol >1.8 mcg/dL, is diagnosed in up to 30% of patients with PA. Objectives (1) Assess cognition in patients with PA vs referent subjects with hypertension and (2) determine differences in cognition between patients with PA and those with MACS. Methods A prospective, cross-sectional study, 2019-2023. Cognition was assessed by National Institute of Health Toolbox Cognition Battery and reported as T-scores corrected for age, sex, race, and education. Only subjects with hypertension were included. Results Cognitive assessment was performed in 52 patients with PA (including 11 patients with both PA and MACS, median age of 51.0 years, 30 (57.7%) women), 47 patients with MACS (median age of 57.0 years, 31 (66.0%) women), and 52 referent subjects (median age of 66.1 years, 30 (57.7%) women). When compared to referents, and after adjusting for age, smoking, systolic blood pressure, and alcohol use, patients with PA had lower total cognition (β = −5.7, P = .023), notably fluid cognition (β = −6.8, P = .017), including attention and executive function (β = −5.6, P = .012) and cognitive flexibility and executive function (β = −8.2, P = .006). When compared to patients with MACS, patients with PA had a higher processing speed (β = 9.0, P = .003). No differences in cognition were found between patients with PA with and without MACS. Conclusion Patients with PA demonstrated lower cognition compared with referents and processing speed compared with MACS. Future studies should characterize the impact of MACS on the cognition of patients with PA.

Background Studies have demonstrated an association between endothelial dysfunction and major depressive disorder (MDD). However, the link between coronary endothelial dysfunction (CED) and an incident diagnosis of MDD across sexes is unclear. Methods Patients with nonobstructive coronary artery disease (stenosis <40%) underwent an invasive assessment of CED. Macrovascular CED was defined as a percentage change in coronary diameter in response to acetylcholine of ≤−10% compared with baseline. Microvascular CED was defined as a percentage change in coronary blood flow in response to acetylcholine of ≤−50% compared with baseline. In the period after the index procedure, patients were followed up for developing a diagnosis of MDD, and logistic regression was performed to assess the association between baseline CED and incident MDD. Results In total, 2280 patients underwent invasive testing for CED. A total of 516 patients (23%) underwent an evaluation for MDD at a date after the index procedure (mean±SD age, 53±12 years; 72% women). A total of 160 (31%) were diagnosed with MDD. The percentage change in coronary diameter in response to acetylcholine was lower in those diagnosed with MDD in all patients (−10.8% versus −5.3%; P =0.008), and in men (−19.0% versus −4.8%; P =0.001). In men, a higher proportion of those with macrovascular CED were diagnosed with MDD compared with those not diagnosed with MDD (59% versus 38%; P =0.035). In multivariable analyses, macrovascular CED was associated with MDD in men (odds ratio: 2.99 [95% CI, 1.26–7.45]; P =0.015). Conclusions Macrovascular CED is significantly associated with incident MDD in men with nonobstructive coronary artery disease. Endothelial dysfunction in the coronary arteries could thus be a helpful biomarker to identify patients at risk of MDD.

Abstract Purpose: Knowledge of prognostic factors and long-term survival in patients with diffuse hemispheric glioma, H3 G34–mutant (DHG, H3 G34), remains limited in this tumor with a poor prognosis. Experimental Design: This retrospective, multi-institutional study investigated prognostic variables for patients with DHG, H3 G34, and their association with progression-free survival (PFS) and overall survival (OS). Uni- and multivariable Cox proportional hazard models were applied with multiple imputed datasets. Results: A total of 153 patients (142 G34R, 9 G34V, 2 via DNA methylation) were included. The median age at diagnosis was 17 years (range, 2–45). Initial gross/near total resection (GTR/NTR) was achieved in 43% of patients. Radiation was given in 91% (85% focal irradiation), and initial chemotherapy was given in 87% [70% temozolomide-based (TMZ), 25% TMZ/lomustine, 5% non-TMZ]. Median OS was 24 months [interquartile range (IQR), 22–28] with a median PFS of 14 months (IQR, 12–19). Twelve patients (8%) were found to be long-term survivors (≥5 years). Exploratory multivariable analysis showed that adjuvant radiotherapy [HR, 0.076; 95% confidence interval (CI), 0.033–0.17] and achieving GTR/NTR compared with &lt; NTR (HR, 0.51; 95% CI, 0.33–0.78) were associated with improved PFS. Multivariable analysis showed improved OS with increasing age at diagnosis (HR, 0.70; 95% CI, 0.57–0.87), initial radiotherapy (HR, 0.38; 95% CI, 0.15–0.96), and initial GTR/NTR compared with &lt; NTR (HR, 0.60; 95% CI, 0.37–0.97). Conclusions: This cohort highlights prognostic factors for patients with DHG, H3 G34, and describes relapse patterns and therapy approaches. Clinical trials and prospective registries are needed to improve outcomes.

Background: Reoperative metabolic and bariatric surgery (MBS), consisting of revision and conversion surgery, carries higher morbidity and mortality compared with primary procedures, yet robust long-term data are limited. Methods: A retrospective review was conducted of all patients 18 years of age or older who underwent first-time reoperative MBS between 2000 and 2024 at a single large quaternary referral center. Data were stored securely and analyzed in R (v4.4.2) using standard descriptive statistics and group tests ( t tests/Wilcoxon/Kruskal-Wallis; χ²/Fisher). Sparse late-complication data precluded pairwise tests. Results: Three hundred sixty patients, 86% female, mean age 50 years, underwent reoperative MBS. Conversion to Roux-en-Y gastric bypass (49%) was the most common surgery. The majority were performed for weight recidivism (37%). Length of stay, estimated blood loss, length of surgery, complication rates, readmission rates, and reintervention rates varied by type of reoperative MBS performed and indication. Most early complications were Clavien-Dindo 2, and most late complications were Clavien-Dindo 3b for all approaches. There was one procedure-related death in the study following an open conversion. Conclusion: In this 24-year single-center cohort, weight recidivism was the most frequent indication for reoperation and was associated with improved perioperative outcomes and durable long-term weight loss. As the landscape of bariatric surgery continues to evolve, we recommend early referral to centers with reoperative MBS expertise.

ABSTRACT Background Sunlight has profound impacts on physical and mental health, beyond vision, including effects on circadian rhythms, alertness, mood, and sleep. A family history of any mood disorders is strongly associated with psychiatric disorders including bipolar disorder. The purpose of this study was to evaluate the association between a family history of any mood disorder in patients with bipolar I disorder and solar insolation at varied international onset locations. Methods Data for this analysis were available from 5842 patients with a diagnosis of bipolar I disorder obtained at 83 collection sites in both hemispheres. This included 4752 patients from 71 collection sites in the northern hemisphere and 1090 patients from 12 collection sites in the southern hemisphere. Patient data variables were obtained from records or interviews. Solar insolation data were obtained from The National Aeronautics and Space Administration (NASA) Power database for each onset location, and the ratio of the mean monthly minimum/mean monthly maximum solar insolation was calculated. Typically, the ratio is largest near the equator (little yearly change in solar insolation) and smallest near the poles (large yearly change in solar insolation). Results A significant relationship was found between a family history of any mood disorder, the ratio of the mean monthly minimum/mean monthly maximum solar insolation, and gender. The odds of a family history of mood disorder increased as patient location nears the poles and decreased near the equator. Female gender also increased the odds of having a family history of a mood disorder. Conclusions This study highlighted the association between family history, solar insolation, and gender in international patients with bipolar I disorder. Given the profound effects of sunlight on human health, the family of patients with bipolar disorder who live in the same location with the same solar insolation, and especially females, may be at increased risk for a mood disorder.