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The study investigates the influence of alumina nanoparticles (AlO NPs) at varying sizes on the learning and memory of adult ICR mice over different exposure durations. The mice were administered saline or AlO nanoparticles of 10μm, 50 nm, and 13 nm via nasal drip. Following administration, the Morris water maze test was conducted, along with assessments of inflammation, oxidative stress, hippocampal histopathology, and cell death-related proteins. Initially, after acute exposure, a trend emerged where learning and memory gradually declined as nanoparticle size decreased, with the most significant impact observed in the 13 nm AlO group. Upon chronic exposure, there was a significant decline in learning and memory within the AlO NPs groups compared to other groups, accompanied by neuronal loss, swelling, light staining, and disorganization. Concurrently, levels of TNF-α and IL-1β within 7 days, MDA after 7 days, and death-related proteins such as Cathepsin-B, c-caspase3, LC3-II, Beclin1, RIP, and Cathepsin-L showed a linear increase, while SOD and GSH-PX activity steadily decreased. Over time, learning capability decreased, correlating with a sharp reduction in TNF-α and SOD activity, a gradual increase in MDA, c-caspase3, and Beclin1 levels in the AlO NPs group, as well as elevated Cathepsin-L, LC3-II, and RIP levels in the 13 nm AlO group. Consequently, AlO NPs significantly impaired learning and memory in a particle size-dependent manner through initial inflammation and oxidative stress after acute exposure, and time-dependent impairment via escalating oxidative stress and neuronal death.
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http://dx.doi.org/10.1016/j.ecoenv.2025.118177 | DOI Listing |
Stroke
September 2025
Brain Language Laboratory, Freie Universität Berlin, Germany (A.-T.P.J., M.R.O., A.S., F.P.).
Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-dependent signals indicate persistence in brain activity patterns and may relate to learning and levels of depression. This observational study investigates blood oxygenation level-dependent LRTC changes alongside therapy-induced language and mood improvements in perisylvian and domain-general brain areas.
View Article and Find Full Text PDFFront Comput Neurosci
August 2025
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.
Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.
View Article and Find Full Text PDFFront Genet
August 2025
Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China.
RNA N4-acetylcytidine (ac4C) is a crucial chemical modification involved in various biological processes, influencing RNA properties and functions. Accurate prediction of RNA ac4C sites is essential for understanding the roles of RNA molecules in gene expression and cellular regulation. While existing methods have made progress in ac4C site prediction, they still struggle with limited accuracy and generalization.
View Article and Find Full Text PDFBiochem Biophys Rep
June 2025
Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.
Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.
Brain Commun
September 2025
Alzheimer's Disease Cooperative Study (ADCS), Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093, USA.
Several studies implicate circadian rhythm disturbances in Alzheimer's disease. However, very little is known about how circadian rhythms are associated with Alzheimer's pathological biomarkers in older adults at early stages of the disease, and how these relationships map onto cognition. This cross-sectional study used 24-h accelerometry data to investigate the relationships between circadian rhythms, amyloid-β (Aβ), tau, and cognition in 68 older adults with objective early cognitive impairment.
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