Citations

Abstract Glioblastoma (GBM) is the most aggressive primary brain tumor, with a dismal median survival of 12–15 months. Recent evidence shows that neurons form functional synapses with GBM cells, promoting invasion and growth. Microglia, the brain’s resident immune cells, can modulate synaptic connections; however, their role in neuron-glioma synaptic interactions remains poorly understood. Here, we co-cultured patient-derived GBM cells with either human iPSC-derived microglia-like cells or HMC3 microglia in five-month-old iPSC-derived cortical organoids, assessing GBM calcium activity over 30 minutes using GCaMP6s-based imaging. Compared to GBM-only controls, cells grown with microglia displayed elevated mean ΔF/F0 (t-test, p = 6.536×10^-6,****) and higher calcium peak counts (p = 0.0002181 by t-test, ***). Tumor region- specific single-cell transcriptomic analysis of the Darmanis et. al dataset, containing GBM samples from four patients revealed eight distinct immune subclusters and highlighted a spatial dichotomy in immune function, with upregulation of complement and phagocytic signals in the tumor core, and unique ligand–receptor interactions in the periphery. CellChat analysis identified SEMA4D–PLXNB1 as a candidate ligand–receptor pair enriched between immune and neoplastic cells at the tumor periphery. Resident microglia exhibited significantly higher SEMA4D expression, while neoplastic cells showed elevated PLXNB1. These data suggest that microglia intensify GBM calcium signaling and engage in SEMA4D–PLXNB1 signaling. Future studies will determine the impact of these observations on neuron-gioma synapses and whether genetic ablation of PLXNB1 disrupts microglia-driven calcium signaling and slows tumor progression, offering mechanistic insight into the interplay of immune cells, neurons, and GBM.

Abstract Background Angina with non-obstructive coronary artery disease (ANOCA) is increasingly recognized in clinical practice but effective therapy is difficult to apply due to the heterogeneity of pathophysiological substrates: structural coronary microvascular dysfunction (CMD), functional (vasospastic) CMD, epicardial artery vasospasm, non-cardiac chest pain. Current guidelines recommend invasive coronary function testing with inherent limitations in cost, risk, and access. Objective To evaluate the feasibility of a step-wise, multi-marker, multi-stress assessment of ANOCA patients by stress echocardiography (SE). Methods In an observational, prospective, multicenter, international study, we enrolled 1146 ANOCA patients (age =65.6±11.6years, 636 men, 55, %). All patients underwent a vasodilator SE (adenosine or dipyridamole) with coronary flow velocity reserve (CFVR) measurement in the mid-distal left anterior descending artery (LAD). In a subset of patients with a normal CFVR and strong clinical suspicion for vasospasm, a hyperventilation (HYPER) test (30 deep breaths/min for 5 min) was performed, followed by semi-supine exercise (EX) if negative. Positivity criteria were stress-specific: CFVR < 2.0 for vasodilators; coronary flow velocity (CFV) reduction ≤ 10% from baseline with HYPER; inducible RWMA 2.for HYPER and HYPER-EX Results Of the 1146 patients, 244 (21%) showed abnormal CFVR i.e. structural CMD (Figure 1). In the subset of 68 patients with normal vasodilator CFVR , entering a strategy of sequential stepwise approach, 40 pts underwent HYPER showing a paradoxical vasoconstrictor response despite the increase in the double product (59 %), with RWMA in 11 (16%). Of the remaining patients with normal CFVR and normal response to HYPER, 28 underwent HYPER-EX showing inducible RWMA in 7 (10%) patients. The remaining 21 patients (31%) showed all 3 tests normal: see figure 2. Conclusion In patients with ANOCA, a stepwise multi-marker (CFVR and RWMA) and multi-stress (vasodilators, HYPER, and EX) SE identifies 4 distinct phenotypes and actionable therapeutic targets: structural CMD (reduced CFVR with vasodilator); functional vasospastic CMD (paradoxical decrease of CFV with HYPER), epicardial artery vasospasm (inducible RWMA with HYPER or HYPER-EX); non-cardiac chest pain with normal response all tests and all markers. Our research emphasizes the usefulness of versatile, patient-tailored noninvasive testing in patients with ANOCA to unmask the functional heterogeneity of the endotypes underlying the same phenotype. Figures: 1. Overall population of ANOCA (N=1146)-vasodilator CFVR 2. Pilot study in ANOCA with CFVR>2.0 (N=68)Overall population of ANOCA (N=1146) Pilot study in ANOCA with CFVR>2.0

Abstract Background Stress echocardiography (SE) was recently upgraded to the ABCDE protocol: step A, regional wall motion abnormalities; step B, B-lines; step C, left ventricular contractile reserve; step D, Doppler-based coronary flow velocity reserve in left anterior descending coronary artery; and step E, EKG-based heart rate reserve. Aim to assess the prognostic value of ABCDE-SE in a prospective, large-scale, multicenter, international, effectiveness study. Methods From July 2016 to November 2024, we enrolled 7896 all-comers (age 65±11 years, 4742 [60.0%] males, ejection fraction 59±10%) with known or suspected chronic coronary syndromes (CCS) referred from 27 certified laboratories. All patients underwent clinically indicated ABCDE-SE, with ACE in all patients, step D in 6286, step B in 5951 and all 5 steps in 5918 pts. The employed stress modality was exercise (n=2407) or pharmacological stress (n=5489; with vasodilator, n=4503; or dobutamine, n=986). Each step was scored from 0 (normal) to 3 (severely abnormal) following EACVI recommendations 2024. SE response ranged from a score of 0 (all steps normal) to a score of 15 (all steps severely abnormal). All-cause death was the only end-point. Results During a median follow-up of 685 days (interquartile range: 387-1227), 370 deaths occurred. Step A negativity was associated with a 1.5% annual mortality. Annual mortality rate ranged from 0.4% persons/year for score 0 (n=958, 12.1%) up to 6.19% person/year for score ≥10 (n=346, 4.3%). (Figure). At multivariate logistic regression analysis, age (hazard ratio [HR] 1.008, 95% interquartile range [IQ]: 1.006-1.010, p<0.001), diabetes (HR 1.564, 95% CI: 1.263-1.936, p<0.001), resting ejection fraction (HR 0.983, 95% CI: 0.974-0.993, p=0.001), and ABCDE score 3-5 (HR 3.111, 95% CI 1.597-6.060, p=0.001), score 6-9 (HR 5.442, 95% CI 2.761-10.729, p<0.001), and score ≥10 (HR 8.826, CI 4.197-18.654, p<0.001) were independent predictors of mortality. Conclusion In patients with known or suspected CCS, SE negativity by simple wall motion criterion is unable to identify a low-risk group. ABCDE-SE allows an effective prediction of survival.Figure

Objective Lewy body disease (LBD) is a complex neurodegenerative disorder characterized by the accumulation of misfolded α‐synuclein in the brain. Neuroinflammation has long been implicated in LBD pathogenesis, and recent genetic studies in Parkinson's disease (a clinical manifestation of LBD) have shown consistent association with the human leukocyte antigen (HLA) gene complex. Here, we assessed whether variation in HLA alleles influences neuropathological burden in a neuropathologically‐defined series of LBD cases. Methods We conducted a comprehensive analysis of HLA allelic variants in a cohort of 539 LBD cases of European descent from the Mayo Clinic brain bank. High‐resolution whole‐genome sequencing was used, and the HLA alleles of each sample were called using the HLA*LA tool and assessed for association with neuropathological outcomes. Results Our analysis identified 1 significant ( P < 3.43 × 10 −5 ) and 4 suggestive ( P < 0.001) associations between certain HLA alleles and specific neuropathological outcomes in LBD, suggesting a potential role for HLA‐mediated immune mechanisms in disease progression and subtype differentiation. Specifically, HLA‐DPB1*06:01 was significantly associated with lower Lewy body counts in the parahippocampal gyrus ( P = 3.30 × 10 −5 ), with weaker and suggestive associations observed in the middle frontal ( P = 1.80 × 10 −4 ) and inferior parietal gyrus ( P = 6.33 × 10 −4 ). Additionally, although only suggestive, HLA‐DRB1*11:01 correlated with a lower Thal amyloid phase ( P = 1.56 x 10 −4 ), and HLA‐B*15:01 correlated with an increased risk of diffuse LBD ( P = 7.58 x 10 −4 ). Interpretation This study provides a detailed evaluation of the relationship between HLA alleles and LBD pathology, highlighting the importance of immune‐related genetic factors in the etiology of LBD. ANN NEUROL 2026;99:492–501

Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Abstract Importance Voice-based health technologies are growing rapidly, but they lack standardized terminology, which hinders interdisciplinary collaboration, research quality, and clinical translation. Objective The objective of this work is to develop universally accepted definitions in the rapidly evolving field of vocal biomarkers, as part of the VOCAL ( V ocal Biomarker Guidelines for O ntology, C lassification, A pplication, and L ogistics) initiative, a structured, international consensus-based framework that aims to provide standards, and guidelines. Design VOCAL is a rigorous, international, multi-stage consensus-building study conducted in 2024-2025. Setting Multi-institutional collaboration between representatives from the Bridge2AI-Voice Consortium (North America) and the eVoiceNet Network (European Union), culminating in an in-person workshop at the 2025 Bridge2AI Voice Symposium. Participants A group of 24 international experts in medicine, clinical research, speech and language, audio signal processing, statistics, methodology, regulation, ethics. Methods VOCAL’s iterative process involved five rounds of review, feedback, and an in-person workshop at the international 2025 Bridge2AI Voice Symposium, ensuring the incorporation of diverse perspectives and achieving a robust agreement on the proposed definitions. Main outcomes and measures Consensus-based definitions for vocal biomarkers, spanning from broad concepts (biomarker, digital biomarker, vocal biomarker) to domain-specific measures (cardio-respiratory acoustic, voice, speech/articulatory, cognitive/language). Results A hierarchical continuum model of vocal biomarkers was established. We first distinguished between the concepts of vocal measures and vocal biomarkers. We then defined terms from broad, overarching concepts (Level 0: Biomarker, Digital Biomarker, Vocal Biomarker) to more specific physiological and cognitive domains (Level 1: Cardio-Respiratory Acoustic; Level 2: Voice; Level 3: Speech/Articulatory; Level 4: Cognitive/Language, including linguistic and paralinguistic subtypes). Conclusions and Relevance This work provides a shared vocabulary that is essential for fostering communication through interdisciplinary collaboration, improving the quality and efficiency of research and development, and ensuring the ethical, reliable, and scalable deployment of future voice-based health technologies. It lays foundational groundwork for upcoming guidelines and standards, which are crucial for advancing the field of vocal biomarkers into widespread clinical utility. Key points Question Can we establish an international consensus on the definitions related to vocal biomarkers? Findings Through a multi-stage international consensus process involving expert representatives from the Bridge2AI-Voice Consortium and eVoiceNet Network, a hierarchical model of vocal biomarkers was developed, defining terms from broad concepts (biomarker, digital biomarker, vocal biomarker) to specific physiological and cognitive domains (cardio-respiratory acoustic, voice, speech/articulatory, cognitive/language). Meaning Standardized definitions for vocal biomarkers provide an essential shared vocabulary for interdisciplinary collaboration and lay the foundational groundwork for future guidelines needed to advance the implementation of voice-based health technologies into clinical practice and clinical research.

Stereotactic radiosurgery was associated with a higher obliteration rate compared with embolization in patients with eloquent brain arteriovenous malformations, whereas there was no evidence of a difference in functional outcomes or complications after adjustment.

Abstract BRCA-associated homologous recombination deficiency (HRD) is present in ~ 50% of high-grade serous carcinomas (HGSC) and predicts sensitivity to platinum-based therapy. However, there is little understanding of why some patients with BRCA-deficient tumors experience unexpectedly poor outcomes. We profiled 154 tumors, enriched for patients with BRCA-deficient tumors that experienced short overall survival (≤ 3 years, n = 42), using whole-genome, transcriptome, and methylation analyses. All but one BRCA-deficient tumor exceeded an accepted HRD genomic scarring threshold. However, patients with BRCA1-deficient HGSC with a more elevated HRD score survived significantly longer. Patients with BRCA2-deficient HGSC and loss of NF1 survived twice as long as those without NF1 loss, whereas PIK3CA or RAD21 amplification defined BRCA2-deficient HGSC with exceptionally short survival. BRCA1-deficient tumors in short survivors had evidence of immunosuppressive c-kit signaling and EMT. In a large HGSC cohort (n = 1,389) including 282 individuals with pathogenic germline BRCA variants (gBRCApv), the location of the mutation within functional domains stratified clinical outcomes. Notably, residual disease after primary surgery had limited prognostic effect in gBRCApv-carriers compared to non-carriers. Our findings indicate that tumor HR proficiency in the context of therapy response and survival is not a binary property, and highlight genomic and immune modifiers of outcomes in BRCA-deficient HGSC.

ABSTRACT Glioblastoma (GBM), the most aggressive primary brain tumour in adults, presents significant challenges due to its universal recurrence and limited survival rates. A key driver of GBM progression is the subpopulation of brain tumour‐initiating cells (BTICs), which contribute to therapy resistance and interact with the tumour microenvironment, particularly the cellular components in the subventricular zone (SVZ). Extracellular vesicles (EVs) are critical mediators of intercellular communication, carrying bioactive molecules, such as proteins and RNAs, that can modulate the behaviour of recipient cells. This study investigates the role of EVs in GBM's communication with non‐cancer cells. We utilised the proximity‐labelling system TurboID to achieve global and unbiased labelling of proteins within GBM‐derived EVs. By inducing TurboID expression in primary‐cultured human BTICs from GBM patients, we achieved efficient biotinylation of EV proteins without compromising vesicle integrity, and performed proteomic analysis of biotinylated proteins, which revealed a diverse cargo within BTIC‐EVs. Our method marks the first implementation of TurboID for unbiased global labelling of EV protein cargo in primary cells. This approach facilitates the investigation of EV‐mediated communication and potential therapeutic targets, contributing to the understanding of GBM's complex interactions with the brain's microenvironment and identification of biomarkers for improved diagnosis and treatment response.