Citations

Abstract INTRODUCTION Although cerebrospinal fluid (CSF) biomarkers reflect neurodegeneration in Alzheimer's disease (AD), it remains unclear whether these biomarkers track neurodegeneration in early‐onset Alzheimer's disease (EOAD). METHODS In 80 EOAD patients, we examined correlations between eight CSF biomarker levels and cortical thickness decreases within the EOAD cortical atrophy signature. Significant correlations were then entered into a multiple regression analysis. We also examined contributions of EOAD atrophy and CSF biomarkers to cognitive impairment. RESULTS The levels of four CSF biomarkers correlated to EOAD signature atrophy. Stepwise regression analyses revealed that CSF neurofilament light chain (NfL) levels best predicted EOAD signature atrophy. Multiple regression showed EOAD signature atrophy combined with CSF NfL levels explained more variance in cognitive impairment than either factor alone. DISCUSSION Within EOAD patients, CSF NfL levels relate to the magnitude of cortical atrophy, and a combination of EOAD signature atrophy and CSF NfL levels most robustly predict cognitive impairment.

Abstract Seizure forecasting has progressed from theoretical aspiration to a rapidly advancing research domain, yet clinical translation remains limited. Over the past decades, advances in algorithm development, chronic electroencephalography (EEG), wearable sensors, and the characterization of seizure cycles have demonstrated that seizure risk is not random but fluctuates according to identifiable biological rhythms and patient‐specific patterns. Forecasting algorithms have shown promising performance across diverse retrospective datasets, including intracranial EEG, subscalp recordings, wearable physiological signals, and even self‐reported diaries. However, the clinical value of forecasting is contentious. Prospective real‐world validation and regulatory approval of patient‐facing forecasting systems remain rare. This review incorporates perspectives presented at the 5th International Congress on Mobile Health and Digital Technology in Epilepsy (2025). We examine barriers impeding clinical translation and current attempts to address them. Crucially, forecasting performance cannot be evaluated in isolation from intended use. Applications range from low‐risk uses, like scheduling diagnostic monitoring or visualization of historical trends, to higher risk interventions, including medication titration and adaptive neuromodulation. Each application entails distinct performance thresholds, ethical considerations, and regulatory requirements. Translational challenges include reliable seizure annotation, nonstationarity dynamics of biological cycles, and practical constraints for real‐time deployment. Ethical concerns center on miscalibrated reliance on low‐risk states, potential anxiety associated with high‐risk advisories, and the heterogeneity of patient preferences and risk tolerance. Regulatory pathways are likely to depend on clearly defined use cases and clinically meaningful endpoints, which may extend beyond seizure counts to include quality of life, anxiety, locus of control, and other patient‐reported outcomes. Ultimately, translation will require rigorous prospective evaluation against transparent benchmarks, sustainable scientific–commercial partnerships, and integration of probabilistic risk information into clinical workflows. With careful implementation, seizure forecasting may evolve from proof‐of‐concept research into a clinically meaningful component of epilepsy management, and we remain cautiously optimistic.

Abstract Physical activity (PA) is a modifiable lifestyle behaviour associated with lower dementia risk; however, molecular pathways bridging PA-related dementia prevention are poorly understood. We leveraged large-scale plasma proteomics to identify biological signatures of objectively monitored PA and cognitive ageing in functionally intact older adults, cross-validated these signatures in independent exercise cohorts and tested associations with both symptomatic and presymptomatic stages of neurodegeneration across multiple Alzheimer’s disease and related dementias (ADRD) cohorts. We analysed large-scale plasma proteomics data (SomaScan 7k) across three cohorts including naturalistic, objective PA monitoring (University of California, San Francisco Brain Aging Network for Cognitive Health cohort, n = 65), self-reported PA (Atherosclerosis Risk In Communities study, n = 10 644) and PA intervention (Health Risk Factors, Exercise Training and Genetics study, n = 654). Differential regression models examined individual protein correlates of PA, adjusting for age and sex. Weighted gene co-expression network analysis assembled proteins into unbiased modules of protein co-expression, which were annotated for gene ontology and cell-type enrichment. To test clinical relevance to ADRD, we examined PA-related protein levels across-cohorts of symptomatic Alzheimer’s disease and Parkinson’s disease (Stanford Alzheimer’s Disease Research Center), as well as frontotemporal dementia-spectrum disorders (ARTFL/LEFFTDS Longitudinal Frontotemporal Lobar Degeneration consortium). PA-related plasma proteins were also tested as predictors of antemortem cognitive change and post-mortem brain tissue mass spectrometry proteomic signatures in brain donors from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) cohort. Differential regression and network analyses identified PA plasma proteomic signatures linked to cell adhesion/extracellular matrix (ECM), immune response and lipid metabolism. Protein co-expression module M12 ECM/neurodevelopment harboured growth factor, cell adhesion and vascular remodelling proteins that (i) were positively associated with PA across exercise cohorts, (ii) positively associated with cognitive function and (iii) negatively associated with Alzheimer’s disease, Parkinson’s disease and frontotemporal dementia. Furthermore, M12 was enriched for proteins from Alzheimer’s disease risk genes and antemortem plasma abundance of anthrax toxin receptor cell adhesion molecule 2 (ANTXR2), an M12 ‘hub’ protein and top PA hit across-cohorts, forecasted longitudinal global cognitive decline and post-mortem brain tissue signatures of synaptic function and proteolysis in ROSMAP. Collectively, our integrated systems biology analysis of six independent plasma proteomic datasets facilitated discovery and validation of blood-detectable molecular signatures of PA and neurodegenerative disease, including PA-related proteins with clinical and biological relevance to early stages of disease. Circulating levels of PA-related proteins reflecting ECM biology (e.g. ANTXR2) may represent key molecular targets for dementia prevention.

ABSTRACT Objective Weight loss is frequently considered a cardinal presenting symptom for patients with Zenker diverticulum (ZD). We hypothesized that weight loss in patients with cricopharyngeal muscle dysfunction (CPMD), with or without diverticula, was associated with the length of symptoms and size of diverticulum. Methods Prospective, multicenter observational study of CPMD patients with and without diverticula reporting unintentional weight loss (+WL) or no weight loss (−WL) prior to enrollment in the Prospective Outcomes of Cricopharyngeal Hypertonicity (POuCH) database. Complications and symptom response using a patient reported outcome measure, the Eating Assessment Tool (EAT‐10), were compared. Results Of 427 patients, 101 (23.6%) were +WL. Median weight loss was 14 pounds (interquartile range [IQR] 10–25). +WL cohort had a mean age of 71.5 (standard deviation [SD] 11.5) vs. 67.9 in −WL (SD 11.6, p = 0.007). Mean preoperative EAT‐10 score was 24.7 in +WL (SD 9.7) and 14.8 in −WL (SD 8.8, p < 0.0001). Higher preoperative weight loss was associated with higher preoperative EAT‐10 ( p < 0.0001, Spearman's ρ = 0.43). Size of diverticulum was associated with WL ( p = 0.003), but weight loss was highest in both large diverticula and CP bars. Duration of symptoms was not associated with weight loss ( p = 0.30). Postoperative complications in +WL and −WL patients were similar ( p = 0.78). Conclusion Unintentional weight loss is common with ZD. Patients with worse dysphagia are more likely to have more weight loss. Weight loss does not increase with the size of the diverticulum or length of symptoms. Surgery has a similar safety profile with greater improvement in dysphagia in patients reporting weight loss. Level of Evidence 3.

Abstract Background Adults with congenital heart disease (ACHD) represent a rapidly expanding population with complex lifelong clinical and psychosocial needs. Nurses play a pivotal role within multidisciplinary ACHD care, yet internationally their education, scope of practice and professional preparation remain highly variable, with no globally agreed curriculum. This gap has limited role clarity, workforce development and international harmonisation of standards. The aim of this project was to develop the first dedicated, competency-based curriculum for ACHD nursing to support consistent, high-quality, patient-centred care worldwide. Methods An international, multidisciplinary working group led by the Association of Cardiovascular Nurses and Allied Professions of the European Society of Cardiology, in collaboration with the Working Group on Adult Congenital Heart Disease and the International Society for Adult Congenital Heart Disease, developed the curriculum through expert consensus. The development group included nurses, physicians, educators and individuals with lived experience of ACHD, ensuring patient perspectives were embedded throughout the process. Existing international guidance, professional frameworks and evidence on ACHD nursing practice were synthesised. The curriculum was structured around Entrustable Professional Activities (EPAs), mapped to the CanMEDS professional roles and designed to accommodate international variation in regulation, resources and scope of practice. Results The resulting curriculum defines core and specialist competencies across the ACHD lifespan, encompassing clinical care, transition, reproductive health, psychosocial support, prevention, advanced therapies, care coordination and research. EPAs specify required knowledge, skills, attitudes, assessment strategies and levels of entrustment, with a minimum standard for practice. The framework supports career progression from specialist to advanced practice roles and is adaptable for academic, workplace-based and continuing professional development contexts. Conclusions This curriculum represents the first internationally applicable, competency-based framework for ACHD nursing. By standardising expectations while allowing contextual flexibility, it strengthens role clarity, supports workforce development and promotes harmonised, high-quality ACHD care globally.