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Objective: To explore the mechanism by which (YGS) improves learning and memory abilities of APP/PS1 transgenic mice in light of cerebral fluid metabolism regulation.
Methods: Three-month-old male APP/PS1 transgenic mice and wild-type C57BL/6 mice were both randomized into control group, model group, donepezil (1.67 mg/kg) group, and YGS (7.5 g/kg) group and received the corresponding treatments gavage once daily for one month. After the treatments, the mice were assessed for learning and memory functions using Morris water maze test and examined for hippocampal and cortical pathologies and amyloid plaques using HE, immunohistochemical and thioflavin S staining; ELISA and Evans blue method were used for detecting Aβ and Aβ levels in the brain tissue and serum and assessing blood-brain barrier (BBB) integrity. Immunofluorescence colocalization was used to investigate AQP4 polarization on astrocytes. Western blotting was performed to detect the expressions of VE-cadherin, ZO-1, occludin, β-amyloid precursor protein (APP), BACE1, insulin-degrading enzyme (IDE), LRP1, RAGE, and AQP4 proteins.
Results: Compared with the control mice, APP/PS1 mice showed significant impairment of learning and memory abilities, increased degeneration or necrosis of hippocampal and cortical neurons, pathological scores, Aβ-positive plaques, elevated Aβ and Aβ levels in the brain tissue and serum, increased BBB permeability, upregulated RAGE expression, lowered expressions of VE-cadherin, LRP1, ZO-1, occludin, and AQP4 proteins, and reduced AQP4- expressing GFAP-positive cells. YGS treatment significantly improved the performance of the transgenic mice in Morris water maze test, reduced hippocampal and cortical pathologies and Aβ-positive plaques, and ameliorated the abnormal changes in Aβ and Aβ levels, BBB permeability, protein expressions of RAGE, VE-cadherin, LRP1, ZO-1, occludin and AQP4, and the number of AQP4-expressing GFAP-positive cells.
Conclusion: YGS improves learning and memory changes in APP/PS1 mice by ameliorating neuronal damage and Aβ pathology in the brain and regulating brain fluid metabolism.
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http://dx.doi.org/10.12122/j.issn.1673-4254.2024.10.20 | DOI Listing |
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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.
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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.
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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.
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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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