Introduction And Objective: Beneficial effects of glucosamine in spatial learning and memory impairment induced by scopolamine has been evaluated in rats by using Morris water maze.
Methods: Male Wistar rats were randomly divided into control, scopolamine and scopolamine plus glucosamine groups. All injections were given in 5 consecutive days and 30min after each injection, the rats were tested in the Morris water maze test. Escape latency and path length to reach the hidden platform were subjected to analysis of variance [ANOVA].
Results: The rats treated with scopolamine showed increased escape latency and path length to reach the hidden platform compared to control group (P<0.001). Both escape latency and traveled path length to reach the hidden platform in glucosamine treated animals (1 and 2g/kg) were significantly lower (P<0.05 to P<0.001) than in the scopolamine group.
Conclusion: The results of this study showed that the glucosamine can inhibit scopolamine-induced impairments of spatial learning and memory in rats. Glucosamine might offer a promise in either the prevention or the treatment of neurodegenerative diseases such as Alzheimer's disease.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.pathophys.2013.04.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Oppositional and competitive instigation of hippocampal synaptic plasticity by the VTA and locus coeruleus.
Proc Natl Acad Sci U S A
January 2025
Department of Neurophysiology, Medical Faculty, Ruhr University Bochum, Bochum 44780, Germany.
The novelty, saliency, and valency of ongoing experiences potently influence the firing rate of the ventral tegmental area (VTA) and the locus coeruleus (LC). Associative experience, in turn, is recorded into memory by means of hippocampal synaptic plasticity that is regulated by noradrenaline sourced from the LC, and dopamine, sourced from both the VTA and LC. Two persistent forms of synaptic plasticity, long-term potentiation (LTP), and long-term depression (LTD) support the encoding of different kinds of spatial experience.
View Article and Find Full Text PDFCardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.
PLoS One
January 2025
Medical Image Processing Research Group (MIPRG), Dept. of Elect. & Comp. Engineering, COMSATS University Islamabad, Islamabad, Pakistan.
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion. Techniques such as Compressed Sensing (CS) and Parallel Imaging (pMRI) have been proposed to accelerate MRI data acquisition and improve image quality. However, these methods have limitations in high spatial-resolution applications, often resulting in blurring or residual artifacts.
View Article and Find Full Text PDFTranscriptional determinants of goal-directed learning and representational drift in the parahippocampal cortex.
Cell Rep
January 2025
Department of Biology, Boston University, Boston, MA 02215, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Center for Systems Neuroscience, Boston University, Boston MA 02215, USA. Electronic address:
Task learning involves learning associations between stimuli and outcomes and storing these relationships in memory. While this information can be reliably decoded from population activity, individual neurons encoding this representation can drift over time. The circuit or molecular mechanisms underlying this drift and its role in learning are unclear.
View Article and Find Full Text PDFA robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFThe role of histone lactylation genes in hepatocellular carcinoma prognostic models and their immune cell infiltration features: a comprehensive analysis of single-cell, spatial transcriptome, Mendelian randomization and experiment.
Discov Oncol
January 2025
Shandong University School of Medicine, 44 Wenhua Xi Road, Jinan, 250012, Shandong, China.
Introduction: With the increasing impact of hepatocellular carcinoma (HCC) on society, there is an urgent need to propose new HCC diagnostic biomarkers and identification models. Histone lysine lactylation (Kla) affects the prognosis of cancer patients and is an emerging target in cancer treatment. However, the potential of Kla-related genes in HCC is poorly understood.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!