Mechanisms of Alpha-Synuclein Seeded Aggregation in Neurons Revealed by Fluorescence Lifetime Imaging.

1The brains of Parkinson's disease (PD) patients are characterized by the presence of Lewy body inclusions enriched with fibrillar forms of the presynaptic protein alpha-synuclein (aSyn). Despite related evidence that Lewy pathology spreads across different brain regions as the disease progresses, the underlying mechanism hence the fundamental cause of PD progression is unknown. The propagation of aSyn pathology is thought to potentially occur through the release of aSyn aggregates from diseased neurons, their uptake by neighboring healthy neurons via endocytosis, and subsequent seeding of native aSyn aggregation in the cytosol.

A FRET-Based FLIM Method to Probe Membrane-Induced Alpha-Synuclein Aggregation in Neurons.

1Parkinson's disease (PD) involves the aggregation of the protein alpha-synuclein, a process promoted by interactions with intracellular membranes. To study this phenomenon in neurons for the first time, we developed a fluorescence lifetime imaging (FLIM) method using Förster resonance energy transfer and self-quenching reporters, analyzed with a custom-built FLIM microscope. This method offers insights into aggregate formation in PD and can be broadly applied to probe protein-membrane interactions in neurons.

Acute effects of motor learning models on technical efficiency in strength-coordination exercises: a comparative analysis of Olympic snatch biomechanics in beginners.

Despite the development of various motor learning models over many decades, the question of which model is most effective under which conditions to optimize the acquisition of skills remains a heated and recurring debate. This is particularly important in connection with learning sports movements with a high strength component. This study aims to examine the acute effects of various motor learning models on technical efficiency and force production during the Olympic snatch movement.

Deception detection in educational AI: challenges for Japanese middle school students in interacting with generative AI robots.

Educational materials that utilize generative AI (e.g., ChatGPT) have been developed, thus, allowing students to learn through conversations with robots or agents.

Improving Quality of Care for Vacation-Related Emergency Department Visits: A Narrative Review of Patient Satisfaction and Contributing Factors.

Emergency departments (EDs) encounter substantial challenges during peak vacation periods, including increased patient volumes, limited access to medical histories, language and cultural barriers, insurance complexities, and disruptions in continuity of care. These factors strain emergency department operations, resulting in prolonged wait times, diagnostic errors, and compromised care quality. This study reviews the literature to identify patient satisfaction indicators and common challenges and evaluate strategies to improve patient outcomes during vacation-related emergency department visits.