Our aim was to investigate the effects of resveratrol, auraptene, and curcumin on the spatial learning and spatial memory retention in the Morris water maze (MWM). The effects of 4-day bilateral intrahippocampal (i.h.) infusions of dimethyl sulfoxide (DMSO), H-89 as a protein kinase AII inhibitor, auraptene/H-89, resveratrol/H-89, and curcumin/H-89 were investigated on spatial memory acquisition in MWM. The rats were trained for 4 days; each day included one block of four trials. Post-training probe tests were performed on day 5 in acquisition test. For retention assessments, different animals were trained for 4 days and then infused (i.h.) with either DMSO, H-89, auraptene/H-89, resveratrol/H-89, or curcumin/H-89. The retention test was performed 48 h after the last training trial. The bilateral infusion of H-89 led to a significant impairment in spatial memory in acquisition and retention tests accompanied with a significant decrease in expressions of cAMP response-element binding (CREB) and pCREB proteins in hippocampus. Resveratrol and curcumin reversed the H-89-induced spatial memory acquisition and retention impairments with significant increases in both CREB and pCREB proteins expressions compared to H-89-treated animals. Auraptene showed significant effects in reversing H-89-induced impairments in spatial memory retention but not spatial memory acquisition.
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http://dx.doi.org/10.1177/0960327119839160 | DOI Listing |
Neuropeptides
March 2025
Department of Geriatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. Electronic address:
Alzheimer's disease (AD) is a neurodegeneration driven by beta-amyloid (Aβ) deposits in the brain involving autophagy dysfunction. Ginsenoside Rg1, a pharmacologically active compound found in ginseng, has possible therapeutic effects for AD. This study discovered that FGR proto-oncogene (FGR) was a therapeutic target of Rg1 in AD and it was possibly involved in autophagy.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
March 2025
Padova Neuroscience Center, University of Padova, Padova 35131, Italy.
Resting brain activity, in the absence of explicit tasks, appears as distributed spatiotemporal patterns that reflect structural connectivity and correlate with behavioral traits. However, its role in shaping behavior remains unclear. Recent evidence shows that resting-state spatial patterns not only align with task-evoked topographies but also encode distinct visual (e.
View Article and Find Full Text PDFWorking with scatterplots is a classic everyday task for data analysts, which gets increasingly complex the more plots are required to form an understanding of the underlying data. To help analysts retrieve relevant plots more quickly when they are needed, immersive virtual environments (iVEs) provide them with the option to freely arrange scatterplots in the 3D space around them. In this paper, we investigate the impact of different virtual environments on the users' ability to quickly find and retrieve individual scatterplots from a larger collection.
View Article and Find Full Text PDFInflammopharmacology
March 2025
Chemistry of Natural Compounds Department, National Research Centre, 33 El Bohouth St, Dokki, Giza, 12622, Egypt.
Alzheimer's disease (AD) is a widespread condition that affects adults and the community considerably. The causes are yet unknown, except from advanced age and genetic predisposition. Natural products provided advantageous advantages for managing AD due to their efficacy, safety, and accessibility.
View Article and Find Full Text PDFResistive switching (RS) memory devices with incorporated capabilities of data sensing, storing and processing are promising for artificial intelligence applications. In this respect, controlling resistance not only by electrical but also optical stimulations provides attractive opportunities for the development of novel neuromorphic sensing and computing systems. Here, we demonstrate the RS of Cu/parylene-PbTe/ITO memristive devices and the dependence of RS on optical excitation for efficient neuromorphic computing with high classification accuracy.
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