Citations

Abstract Spatial transcriptomics links gene expression to tissue architecture, providing a mechanistic view of cellular organization. Yet existing datasets cover few donors and miss the complexity of human disease. Experimental costs remain prohibitive, and large-scale profiling is impractically slow for population-level studies. Accurate computational methods are urgently needed. Predicting gene expression from standard histology, however, remains an open problem, as current approaches transfer poorly to unseen cohorts and diseases. Here, we present Phoenix, a (latent) flow matching generative model that infers pan-cancer spatially resolved single-cell gene expression with high accuracy. Phoenix analyzes treatment response in silico: Applied to 763 head and neck cancer patients, it identified three new spatial biomarkers that we validated across two cancers (breast cancer, n = 84; ovarian cancer, n = 157) and treatment regimens (platinum, trastuzumab). Phoenix generalizes beyond carcinomas: In a large sarcoma cohort (802 tissue microarray cores), it accurately predicted cell-type-specific signatures in held-out samples and captured chemotherapy-induced immune remodeling. Phoenix also extends across species: In a mouse model, it accurately predicted the expression of pancreatic cancer lineage markers and the mutant mKras^G12D allele in silico. In total, we evaluated Phoenix on over 10,000 patients. Our results establish virtual spatial transcriptomics as a scalable framework for studying tissue organization, therapeutic response, and disease mechanisms.

This study aims to evaluate the implementation of the uterine sliding sign in routine pelvic ultrasound examinations for improving the diagnosis of deep endometriosis. A retrospective analysis was conducted at Mayo Clinic’s Florida and Arizona campuses, including 200 premenopausal and perimenopausal women with chronic pelvic pain, infertility, or suspected endometriosis. Sonographers performed a uterine sliding maneuver during transvaginal ultrasound, and the acquisition times were recorded. Sonographer experience and the time required to perform the sliding sign were analyzed using Microsoft Excel. The median acquisition time for the uterine sliding sign was 26 seconds, with no statistically significant difference based on sonographer experience. The addition of this maneuver extended the ultrasound examination by <1 minute on average, regardless of sonographer experience level. Incorporating the uterine sliding sign into routine pelvic ultrasound protocols is a quick and efficient method that enhances the detection of deep endometriosis, potentially reducing the significant diagnostic delay associated with endometriosis. This study supports the feasibility and minimal time impact of implementing the Society of Radiologists in Ultrasound (SRU) recommendations for augmented pelvic ultrasound in clinical practice.

Abstract Alzheimer's disease (AD) continues to pose a major public health challenge. Since its launch in 2004, the Alzheimer's Disease Neuroimaging Initiative (ADNI) has played a pivotal role in advancing the field by providing a comprehensive, open‐access, longitudinal dataset that integrates neuroimaging, biomarker, genetic, and clinical data related to AD. We used standard literature search methods to identify ∼1830 publications from 2023 to mid‐2025 that used ADNI data or samples. This review highlights key ADNI studies with direct clinical applications. We describe how these have impacted the development and validation of plasma biomarkers, improved clinical trials, assessed AD therapies, and developed methods for diagnosis and prediction using clinical, fluid, and imaging biomarkers. These contributions are underlain by an improved understanding of biological mechanisms of disease progression in AD and highlight ADNI's central role in advancing translational research and accelerating progress toward more effective, individualized care for patients with AD.

Abstract Background and Aims Stroke and systemic embolism are recognized but poorly characterized complications of atrial fibrillation (AF) and left atrial flutter (AFL) catheter ablation. Their incidence, outcomes, and procedural associations remain insufficiently defined. Methods Retrospective global registry was initiated by the European Heart Rhythm Association Scientific Committee. A secure database captured data from ablation centres worldwide on general AF and left AFL ablation activity, as well as detailed information on patients with symptomatic embolic events between 2017 and 2024. Results Overall, 204 centres reported 335 743 ablation procedures and 550 embolic events (incidence 0.16%). Centre-level rate ranged from 0% to 3.1%. Most events were cerebral (94%), followed by peripheral (5%), and combined (1%). Coronary air embolism accounted for 62% of all peripheral events. Intraprocedural events occurred in 93 patients (17%), within 72 h in 357 (78%) and beyond 72 h in 100 (22%); 128 cases (23%) were diagnosed after hospital discharge. Nonparoxysmal AF (0.23% vs 0.15%; P &lt; .001), centre experience, and ablation energy source (radiofrequency, 0.16%; cryoballoon, 0.16%; pulsed field ablation, 0.25%; laserballoon, 0.88%; P &lt; .001) were associated with embolic risk. Median NIHSS score after stroke was 4 (interquartile range, 2–9). Three-month follow-up was available for 518 patients with embolism (95%): 181 (35%) had sequelae and 16 (3%) died. Conclusions Symptomatic embolic events are infrequent but associated with significant morbidity and mortality. Most events occur early, though a substantial proportion arise later. Higher event rates were observed with laser and possibly with pulsed field ablation. A greater centre experience was associated with a lower embolism incidence.

ABSTRACT Candida auris is an emerging pathogen known for causing invasive, multidrug-resistant infections and healthcare-associated outbreaks. Measuring the relatedness of C. auris strains is critical for detecting and preventing healthcare-associated transmission. Whole genome sequencing (WGS) and analysis of single-nucleotide polymorphisms (SNPs) offer high-resolution assessments of genetic relatedness and antifungal susceptibility; however, interpretation requires an understanding of inter- and intra-patient C. auris diversity and genotypic markers of resistance, respectively. This study aimed to define SNP thresholds for assessing C. auris relatedness in healthcare-associated outbreak investigations, predict antifungal resistance via genotypic markers, and evaluate patient risk factors to inform future surveillance strategies. WGS was performed on 68 C. auris isolates (clades I and III) obtained from 31 hospitalized patients across a healthcare system between 2021 and 2024. Using MycoSNP analysis, we observed a maximum intra-patient variation of 14 SNPs. Five probable transmission clusters were identified based on epidemiologic links, with patient isolates differing by a median of 5 SNPs (range: 0−12). Analysis with a commercial pipeline (refMLST, BugSeq) showed similar clustering patterns. All new detections occurring more than 1 month after admission were linked to a cluster, representing a highly specific indicator of healthcare-associated infection. WGS detected known genotypic markers for fluconazole (ERG11 Y132F, F126L, and MRR1 N647T) and micafungin (FKS1 F635C) resistance, with the latter emerging during antimicrobial therapy. In addition, putative FUR1 mutations (G207R and Q16::STOP) associated with flucytosine resistance were identified. These findings emphasize the utility of WGS for identifying healthcare-associated clusters of C. auris and predicting antifungal resistance. IMPORTANCE Candida auris is a difficult-to-treat yeast that causes invasive infections in vulnerable patient populations. Healthcare exposure is a key risk factor for becoming colonized or infected with C. auris , and infection prevention groups focus on curbing the spread of this organism within the healthcare environment. Whole genome sequencing approaches are key for supporting these efforts, as they can help define clusters of C. auris transmission and can also provide insight into antifungal resistance. Our work provides practical guidance for interpreting genomic data in this setting, helping infection prevention teams respond more effectively to outbreaks and expanding the use of genotypic predictions for antifungal resistance.

ABSTRACT Objective Falls are a leading cause of morbidity and loss of independence in adults. The association between overactive bladder (OAB) and fall risk has not been thoroughly investigated. This study evaluated the association between OAB and fall history in a nationally representative sample of US adults aged 20−69 years. Methods We performed a cross‐sectional analysis of adults aged 20−69 years from the 2021−2023 National Health and Nutrition Examination Survey (NHANES). OAB was classified using a composite symptom severity score that assessed urge urinary incontinence and nocturia. Fall history was assessed by self‐reporting (only in participants aged 20−69 years), where a recent fall was defined as experiencing at least one fall within the past year. Survey multivariable logistic regression was used to estimate adjusted odds ratios (aOR) for the association between fall history and OAB after controlling for sociodemographic and clinical covariates. Results Among 4118 participants, the population‐weighted prevalence of OAB was 19.6% (standard error [SE]: 1.1%), and the prevalence of a recent fall was 28.3% (SE: 1.3%). The prevalence of a recent fall was higher among those with OAB (39.7% [SE: 1.6%] vs. 25.7% [SE: 1.5%]). The prevalence of a recent fall increased progressively with OAB symptom severity (24.3% in those with no symptoms vs. 52.4% in those with severe symptoms). In the fully adjusted model controlling for sociodemographic and clinical covariates, OAB was independently associated with a 42% higher odds of experiencing a recent fall (aOR, 1.42; 95% CI, 1.10 to 1.83; p = 0.01). Conclusion OAB is independently associated with an increased risk of a recent fall in US adults aged 20‐69 years, with a strong positive relationship between OAB severity and fall risk. These findings suggest that screening for OAB may be a useful adjunct to fall risk assessment. Future studies are needed to determine whether OAB management reduces the risk of falls.

Individuals with inflammatory bowel disease (IBD) experience overlooked deficits in objectively measured cognitive functioning; however, there is limited knowledge about self-reported cognitive symptoms in this group. Sleep characteristics, such as insomnia, poor sleep quality, or fragmented sleep, may be key modifiable factors that are associated with cognitive symptoms among individuals with IBD. This study aimed to describe cognitive symptoms and examine the relationship between these symptoms and sleep characteristics among adults with IBD. We conducted a descriptive, cross-sectional study using the Pittsburgh Sleep Quality Index, wrist actigraphy, the Insomnia Severity Index, and the FACT-Cog Perceived Cognitive Impairments subscale. Bivariate statistics were used to evaluate relationships between variables. The sample included 83 participants (mean age 40.44 years [standard deviation 10.7], 71% female). Over 77% ( n = 60) had poor self-reported sleep quality, and 69.5% ( n = 57) had clinically meaningful insomnia. The most frequently reported cognitive symptoms (experienced two or more times a week) were trouble concentrating (51.3%), forgetting names (43.8%), forgetting intended tasks (38.9%), and slow thinking (37.6%). Insomnia severity was moderately correlated with three out of the four most common cognitive symptoms (trouble concentrating: r s = .51, p < .01; forgetting intended tasks: r s = .38, p < .01; slow thinking: r s = .46, p < .01). Future research is needed to examine relationships between objective cognitive measures and sleep characteristics and to test the effects of insomnia treatment on daytime cognitive symptoms in this complex patient population.

Abstract INTRODUCTION Multicomponent non‐pharmacological interventions, such as the HABIT Healthy Action to Benefit Independence & Thinking® program, have shown promise for improving emotional well‐being, functioning, and self‐efficacy in both people with mild cognitive impairment (pwMCI) and their care partners. However, limited research has examined whether outcomes differ based on type of care partner who co‐enrolls with the pwMCI. METHODS We analyzed data from 875 pwMCI−care partner dyads who completed the HABIT program. Multivariate linear mixed‐effects regression models evaluated changes from baseline in outcomes by care partner type (spouse vs. non‐spouse) at post‐intervention, 6‐months, and 12‐ months. RESULTS At post‐intervention, pwMCI with spousal care partners demonstrated significant improvements across all outcomes from baseline, whereas those with non‐spousal partners improved in five out of seven outcomes. Across subsequent follow‐ups, pwMCI with spousal care partners showed sustained mean reductions in anxiety (post‐intervention: −2.0; 12‐month: −0.9) and increased compliance (post‐intervention: 5.7; 12‐month: 0.9). Everyday functioning in memory (post‐intervention: −0.9; 12‐months: 1.8) and executive functioning (post‐intervention: −0.7; 12‐months: 4.8) improved at post‐intervention but declined thereafter. Spousal care partners reported reduced anxiety (−1.2) and depression (−1.3) at post‐intervention, but by 12‐months they experienced increased burden, anxiety, and depression relative to baseline. Non‐spousal pwMCI–care partner dyads did not show significant change at 6 or 12‐months. DISCUSSION The HABIT intervention may have more favorable outcomes for pwMCI and care partners in spousal compared to non‐spousal dyads. These findings highlight the potential impact of care partner characteristics on both immediate and long‐term response to behavioral interventions for MCI. Highlights At post‐intervention, people with mild cognitive impairment (pwMCI) with spousal care partners showed significant improvements across all outcomes, while those with non‐spousal partners improved in five of seven outcomes. Gains attenuated over time for both spousal and non‐spousal dyads Spousal care partners reported reduced anxiety and depression at post‐intervention, but by 12 months they experienced increased burden, anxiety, and depression relative to baseline. Non‐spousal pwMCI–care partner dyads did not show significant change at 6 or 12 months.

CEUS is a safe and cost-effective means for characterization of indeterminate renal masses, with performance equal to or better than that of contrast-enhanced CT or MRI for stratification and surveillance of cystic renal masses and discrimination of benign avascular cysts from solid renal masses.