Arc and BDNF mediated effects of hippocampal astrocytic glutamate uptake blockade on spatial memory stages.

Commun Biol

CONICET - Universidad de Buenos Aires, Instituto de Biología Celular y Neurociencias "Profesor Eduardo De Robertis" (IBCN), Buenos Aires, Argentina.

Published: August 2024

Glutamate is involved in fundamental functions, including neuronal plasticity and memory. Astrocytes are integral elements involved in synaptic function, and the GLT-1 transporter possesses a critical role in glutamate uptake. Here, we study the role of GLT-1, specifically located in astrocytes, in the consolidation, expression, reconsolidation and persistence of spatial object recognition memory in rats. Administration of dihydrokainic acid (DHK), a selective GLT-1 inhibitor, into the dorsal hippocampus around a weak training which only induces short-term memory, promotes long-term memory formation. This promotion is prevented by hippocampal administration of protein-synthesis translation inhibitor, blockade of Activity-regulated cytoskeleton-associated protein (Arc) translation or Brain-Derived Neurotrophic Factor (BDNF) action, which are plasticity related proteins necessary for memory consolidation. However, DHK around a strong training, which induces long-term memory, does not affect memory consolidation. Administration of DHK before the test session impairs the expression of long-term memory, and this effect is dependent of Arc translation. Furthermore, DHK impairs reconsolidation if applied before a reactivation session, and this effect is independent of Arc translation. These findings reveal specific consequences on spatial memory stages developed under hippocampal GLT-1 blockade, shedding light on the intricate molecular mechanisms, governed in part for the action of glia.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11341830PMC
http://dx.doi.org/10.1038/s42003-024-06586-8DOI Listing

Publication Analysis

Top Keywords

long-term memory
12
arc translation
12
memory
10
glutamate uptake
8
spatial memory
8
memory stages
8
training induces
8
memory consolidation
8
arc
4
arc bdnf
4

Similar Publications

Purpose: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients' subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject-specific factors.

Method: To address this, we developed a novel algorithm for detecting FoG events based on movement signals.

View Article and Find Full Text PDF

Vaccines targeting p53 mutants elicit anti-tumor immunity.

Cancer Lett

December 2024

Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address:

The p53 tumor suppressor is commonly mutated in cancer; however, there are no effective treatments targeting p53 mutants. A DNA vaccine gWIZ-S237G targeting the p53 S237G mutant, which is highly expressed in A20 murine tumor cells, was developed and administered intramuscularly via electroporation, either alone or in combination with PD1 blockade. The anti-p53-S237G immunization elicited a robust protective response against subcutaneous A20 tumors and facilitated the infiltration of immune cells including CD8 T cells, NK cells, and DCs.

View Article and Find Full Text PDF

How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant.

Water Res

December 2024

State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China. Electronic address:

Wastewater treatment plants (WWTPs) generate vast amounts of water quality, operational, and biological data. The potential of these big data, particularly through machine learning (ML), to improve WWTP management is increasingly recognized. However, the costs associated with data collection and processing can rise sharply as datasets grow larger, and research on determining the optimal data volume for effective ML application remains limited.

View Article and Find Full Text PDF

Variability in physical resilience to aging prompts a comprehensive examination of underlying mechanisms across organs and individuals. We conducted a detailed exploration of behavioral and physiological differences between male C57BL/6J and male CB6F1J mice across various age groups (4, 12, 20, 24 months). In behavioral assays, C57BL/6J mice displayed superior performance in rotarod tasks but higher anxiety while CB6F1J mice exhibited a decline in short-term memory with age.

View Article and Find Full Text PDF

Biologically plausible gated recurrent neural networks for working memory and learning-to-learn.

PLoS One

December 2024

Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands.

The acquisition of knowledge and skills does not occur in isolation but learning experiences amalgamate within and across domains. The process through which learning can accelerate over time is referred to as learning-to-learn or meta-learning. While meta-learning can be implemented in recurrent neural networks, these networks tend to be trained with architectures that are not easily interpretable or mappable to the brain and with learning rules that are biologically implausible.

View Article and Find Full Text PDF

Want 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!