Citations

The discovery of genes encoding the volume-regulated anion channel (VRAC) has enabled detailed exploration of its cell type–specific roles in the brain. LRRC8A (SWELL1) is the essential VRAC subunit. We observed seizure-induced, subunit-specific changes in microglial VRAC expression and investigated its function using conditional KO (cKO) of LRRC8A in microglia. SWELL1 cKO mice exhibited a male-specific increase in kainate-induced seizure severity, yet showed paradoxical neuroprotection against seizure-associated neuronal loss. Mechanistically, SWELL1 deletion led to a cell-autonomous reduction in microglial density and decreased release of VRAC-permeable neuroactive metabolites, including taurine, GABA, and glutamate in culture. Additionally, impaired phagocytic kinetics and reduced lysosomal biogenesis contributed to the observed neuroprotection. These findings reveal potentially novel roles for microglial VRAC in regulating seizure outcomes and microglia-neuron interactions.

ABSTRACT Purpose Substantial endothelial cell loss (∼80%) occurs after keratoplasty. Corneal rigid and scleral lenses are frequently prescribed to manage irregular astigmatism and high refractive error, but lens wear may contribute to hypoxic stress. The relationship between various lens wear and corneal stress after penetrating keratoplasty remains unclear. This study characterizes cell density distribution in post‐keratoplasty corneas and evaluates its influence on swelling during lens wear. Methods Participants ≥5 years post‐surgery, with or without habitual lens wear, were enrolled. Specular microscopy measured endothelial cell density in central, superior, inferior, superotemporal, and superonasal corneal quadrants (@3 mm). Baseline corneal thickness maps (>2 h after waking without lens wear) were acquired using Scheimpflug imaging (Pentacam). Wearers applied habitual lenses and all participants returned 6–8 h later for imaging. Nonparametric tests assessed cell density variation by quadrant and lens designs. Linear mixed models evaluated associations between endothelial parameters and corneal swelling while accounting for within‐subject correlation, repeated measures, lens type, location, and interactions. Results Twenty‐five participants (31 eyes) from three centers were included; 90% had keratoconus preoperatively. Four wore large‐diameter scleral lenses (13%), nine wore small‐diameter scleral lenses (29%), 12 wore corneal rigid lenses (39%), and six did not wear lenses (19%). Cell density across quadrants averaged 780 ± 240 cells/mm 2 . Central thickness decreased slightly in non‐lens‐wearing eyes (−0.3%) but increased in lens‐wearing eyes (1.9% ± 3.1%). Central cell density showed a weak negative correlation with swelling ( r = −0.39, p = 0.03). Compared with non‐lens wearers, corneal rigid ( p = 0.02) and large diameter scleral lenses ( p = 0.05) generated greater swelling; smaller diameter scleral lenses did not. Conclusions Although all eyes fitted with various lens designs were clear, lower central cell density correlated with increased swelling during lens wear, except when smaller diameter scleral lenses were worn. Clinically, however, cell density does not seem to be a robust predictor of corneal swelling induced by lens wear post‐keratoplasty.

Artificial intelligence (AI) is now applied across oncology, including imaging, pathology, therapy selection, toxicity assessment, and survival modeling, and large language models (LLMs) have been adopted particularly quickly. Reported physician use of AI roughly doubled between 2023 and 2026. The frameworks used to evaluate these tools have not advanced at the same rate. Many are available, but each was designed for a single stage of the AI lifecycle, and none directly answers the question most relevant to a treating clinician: whether a given tool is appropriate for the individual patient under care. We reviewed the frameworks in current use, including TRIPOD+AI, PROBAST+AI, CLAIM, SPIRIT-AI, CONSORT-AI, DECIDE-AI, MINIMAR, and CREMLS, together with the oncology-specific ESMO EBAI and the newer LLM-specific guidance (TRIPOD-LLM, MI-CLEAR-LLM, CHART, and ESMO ELCAP). Each addresses part of the evaluation problem, but none is sufficient on its own for oncology, where the standard of care changes rapidly, assays drift, biomarker-defined subgroups are small, and a model validated in one period may perform poorly in the next. LLMs introduce additional challenges, including sensitivity to prompting, undisclosed vendor updates, behavioral drift, and hallucination rates approaching 50% on clinical quality-assurance tasks. The predictive-model frameworks were not designed to capture these failure modes. The central argument of this review is that the frameworks the field requires already exist; what is missing is their mandatory adoption. We propose that journals and regulators move from recommending these frameworks to requiring their use, and we outline a cancer-aware evaluation pathway together with the specific responsibilities of authors, reviewers, journals, and regulators in implementing it.

Background: Colorectal neuroendocrine carcinomas (NECs), including small cell (SCNEC) and large cell (LCNEC) subtypes, are rare but aggressive malignancies with limited population-level data. Moreover, prior studies have limited stratification by histologic subtype and anatomic location, despite evidence of disease heterogeneity in colorectal malignancies. This study aimed to characterize the clinical characteristics, treatment patterns, and outcomes of colorectal NEC by histologic subtype and tumor location, and to compare them with neuroendocrine tumors (NETs) and adenocarcinomas (ACs). Methods: A retrospective cohort review was conducted utilizing the SEER database from 2000 to 2022 to identify patients with colorectal SCNEC, LCNEC, NET, and AC. Demographic, clinical, therapeutic and survival data were analyzed and compared using Kaplan–Meier methods, log-rank tests, and Cox proportional hazards regression. Results: A total of 790 SCNEC, 498 LCNEC, 31,200 NET, and 638,898 AC cases were identified. SCNEC and LCNEC were associated with advanced stage at diagnosis (66% and 55% stage IV, respectively) and inferior survival outcomes compared to NET and AC (median OS (mOS) of 7 and 8 months for SCNEC and LCNEC, respectively, p = 0.0002). Stratified by location, colonic SCNEC had the poorest survival (mOS 5 months), worse than rectal SCNEC (mOS 9 months); this pattern was not observed in LCNEC. Surgical resection was associated with improved OS in both NEC subtypes (HR range 0.25–0.56, all p < 0.012). Radiation therapy was associated with improved survival in NEC overall (SCNEC HR 0.58; LCNEC HR 0.71, both p < 0.05), with the observed benefit appearing greatest in rectal NEC. Demographic factors were associated with survival in NET and AC but had no significant impact in NEC. Conclusions: Colorectal SCNEC and LCNEC are highly aggressive malignancies with poor outcomes, with SCNEC demonstrating modestly inferior outcomes compared to LCNEC. This study demonstrates that both histologic subtype and anatomic site of disease are important determinants of prognosis and treatment response. This supports the concept that colorectal NEC represents a biologically heterogeneous disease, with colonic SCNEC showing the worst outcomes and rectal NEC associated with a potential enhanced response to radiation. These findings support the need for further prospective and molecular studies to better define treatment approaches and targeted therapies for these rare malignancies.

Abstract Mitochondrial dysfunction and lipid dysregulation are among the earliest abnormalities in Alzheimer’s disease (AD), yet their mechanistic interplay and therapeutic potential remain poorly understood. Here, we investigated whether restoration of mitochondrial function can reverse metabolic dysfunction and promote resilience in advanced-stage AD. Female APP/PS1 mice were treated with the brain-penetrant mitochondrial complex I (mtCI) modulator CP2 beginning at 19 months of age, when pathology and cognitive deficits were well established. To define the metabolic mechanisms underlying therapeutic response, we developed iMiceBrain , the first brain-specific genome-scale metabolic model of the mouse brain, and integrated transcriptomics, targeted metabolomics, lipidomics, and metabolic network analyses. CP2 treatment broadly reprogrammed AD-associated molecular signatures and restored pathways involved in mitochondrial function, glucose utilization, lipid metabolism, synaptic activity, and cellular stress responses. Metabolic modeling identified enhanced mitochondrial substrate flexibility, activation of fatty acid utilization, restoration of pyruvate dehydrogenase flux, and normalization of cholesterol metabolism as key features of the therapeutic response. Lipidomic analyses further demonstrated correction of disease-associated alterations in cholesteryl esters, phospholipids, and sphingolipids. Together, these findings demonstrate that mild mtCI modulation restores metabolic resilience by coordinating mitochondrial and lipid metabolism, establishing it as a disease-modifying therapeutic strategy for AD.

Background: Despite recent advances in cleft care, Vietnam continues to have extensive involvement from international nongovernmental organizations (NGOs), creating a fragmented system with limited coordination. This project seeks to establish a baseline understanding of Vietnam’s cleft care landscape, including major international NGOs and their collaborations with local partners, costs and insurance coverage, and patterns applicable to other low- and middle-income countries with NGO-supported cleft care. Methods: We conducted a mixed-methods study using literature review and semi-structured interviews with surgeons, hospital administrators, and NGO representatives (n = 7). Sources included PubMed, targeted Google searches, and government regulations on NGO involvement, cleft care costs, and insurance policies. Results: Vietnam partners with 17 international NGOs that operate through 3 distinct but complementary models: vertical, horizontal, and diagonal models. These collaborations offer financial support, infrastructure, technology investment, and research development, leading to higher surgical volume, more timely access to care, and implementation of standardized multidisciplinary cleft services in Vietnam. National insurance provides broad coverage but requires a complex referral process with limited benefits for secondary cleft services. Limited awareness of insurance benefits and mistrust of local care further discourage the use of national health insurance. Conclusions: Improving access to comprehensive cleft services in Vietnam requires streamlining insurance referral pathways and decentralizing advanced cleft services to regional centers to ensure continuity of care. Aligning NGO activities with national policies is essential to building a coordinated and sustainable cleft care system in Vietnam and in other low- and middle-income countries with strong insurance frameworks and significant NGO involvement.

Introduction The introduction of the purpose‐built single‐port (SP) robotic platform has allowed for the advent of regionalized minimally invasive surgical approaches for robotic radical prostatectomy (RARP), including the extraperitoneal and transvesical techniques. This study sought to develop a best practice consensus on the key principles, patient selection, surgical techniques, expected clinical outcomes, and learning curves pertaining to SP‐RARP. Methods A modified Delphi consensus was developed by a panel of experts, consisting of a 33‐item questionnaire, with each statement rated using a binary Likert scale (‘agree’ or ‘disagree’). The survey was distributed via email to all practicing SP‐RARP surgeons across the USA and Europe. Consensus was defined as ≥75% agreement on a given statement. Results A total of 53 surgeons participated in the Delphi Consensus across the two rounds. Of 33 statements, 28 (84.8%) reached agreement in the first round. The remaining consensus was achieved in the second round, involving 35 surgeons, and with one additional statement. The panel agreed that, although are no absolute contraindications to SP‐RARP, the preference towards specific SP‐RARP techniques should remain guided by the individual patients and surgical expertise. Although the SP extraperitoneal technique is recommended to pursue pelvic lymph node dissections, the panel agreed that transvesical SP‐RARP showed promise in promoting shorter hospital stay, faster recovery of urinary continence, and utility in patients with extensive prior abdominal surgery. Consensus was also reached on the need for a structured training pathway, with most recommending beginning with extraperitoneal SP‐RARP before advancing to the transvesical approach. Conclusion This Delphi consensus demonstrates broad agreement among experienced SP surgeons in the USA and Europe, forming the foundation for future research on the clinical utility and necessary training pathways for SP‐RARP. Nevertheless, empirical validation based on clinical data from large cohort studies remains important.

ABSTRACT Aging reshapes the architecture of human skeletal muscle, yet objective tissue‐level markers that capture this process remain limited. We combined large‐scale histology with deep learning to identify reproducible features of muscle aging and to test their biological relevance. We analyzed 974 hematoxylin–eosin whole‐slide images from a population resource using a dual‐attention convolutional neural network and an independent Mask R‐CNN model to quantify nuclear size and density, verified by manual review. The classifier distinguished young from aged muscle with high accuracy (AUC 0.91; accuracy 86.2%), and attention maps consistently highlighted nuclear enlargement and spatial disorganization as salient features. Nuclear diameter increased with age (Spearman's ρ = 0.71, p < 0.0001) across automated and manual measurements. Transcriptomes matched to the same donors showed that samples with larger nuclei were enriched for pathways related to chromatin remodeling, proteostasis, cellular senescence, mitochondrial activity, and telomere regulation, whereas smaller nuclei aligned with anti‐inflammatory and DNA repair programs. External pediatric inflammatory myopathies exhibited nuclear enlargement comparable to aged muscle, suggesting inflammation‐related premature histologic aging. These findings identify nuclear enlargement as a robust, quantifiable feature that integrates structural and molecular signatures of muscle aging. The proposed deep learning–based nuclear morphometry provides a scalable framework for tissue‐level aging biomarkers and suggests a potential “muscle aging clock” applicable to both physiological aging and disease states.