The aim of this study was to investigate the effects of ethyl acetate extract from Coreopsis tinctoria (EACC) on learning and memory impairment in d-galactose-induced aging mice and the underlying molecular mechanism. The composition of EACC was analyzed by UPLC-MS, and the targets and pathways of EACC to improve learning and memory impairment were predicted and analyzed by the network pharmacology method. A mouse aging model was established by subcutaneous injection of d-galactose in mice, and EACC and piracetam were given to the model mice by gavage to observe their behavioral changes and changes in their SOD and GSH-Px activities in MDA contents in their peripheral blood serum and in the contents of Glu and GABA in their brain tissues. Then the hippocampus of the three mice selected from each of the MOD group and EACC-H group was separated for RT-qPCR assay. The results of the animal experiments showed that EACC could improve the learning and memory impairment of model mice by affecting the level of oxidative stress enzymes in serum and the content of neurotransmitters in the brain tissue. The results of network pharmacology analysis showed that the EACC components corresponded to 74 learning and memory-related targets, of which 13 were enriched in the long-term potentiation pathway. The results of RT-qPCR showed that 12 of the 13 detected targets were consistent with the predicted targets, and 9 of them were located in the NMDA receptor-related pathway of the long-term potentiation process and the pathway played an important regulatory role. It is believed that EACC could improve the learning and memory impairment of d-galactose-induced aging mice by acting on the nine targets Grin1, Grin2a, Camk2a, Camk2b, Kras, Raf1, Mapk1, Mapk3 and Creb to affect the NMDA receptor-related pathway of long-term potentiation.
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Humans excel at applying learned behavior to unlearned situations. A crucial component of this generalization behavior is our ability to compose/decompose a whole into reusable parts, an attribute known as compositionality. One of the fundamental questions in robotics concerns this characteristic: How can linguistic compositionality be developed concomitantly with sensorimotor skills through associative learning, particularly when individuals only learn partial linguistic compositions and their corresponding sensorimotor patterns? To address this question, we propose a brain-inspired neural network model that integrates vision, proprioception, and language into a framework of predictive coding and active inference on the basis of the free-energy principle.
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State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Synaptic plasticity is the basis for the proper functioning of the central nervous system. Synapses are the contact points between neurons and are crucial for information transmission, the structure and function of synapses change adaptively based on the different activities of neurons, thus affecting processes such as learning, memory, and neural development and repair. Synaptic activity requires a large amount of energy provided by mitochondria.
View Article and Find Full Text PDFAdv Sci (Weinh)
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Technical Center for Multifunctional Magneto-Optical Spectroscopy (Shanghai), Engineering Research Center of Nanophotonics & Advanced Instrument (Ministry of Education), Department of Physics, School of Physics and Electronic Science, East China Normal University, Shanghai, 200241, China.
Controlling polarization states of ferroelectrics can enrich optoelectronic properties and functions, offering a new avenue for designing advanced electronic and optoelectronic devices. Here, ferroelectric semiconductor-based field-effect transistors (FeSFETs) are fabricated, where the channel is a ferroelectric semiconductor (e.g.
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January 2025
Sorbonne University, CNRS, INSERM, Institute of Biology Paris Seine, Neurosciences Paris Seine, Paris, France.
Transitive inference, the ability to establish hierarchical relationships between stimuli, is typically tested by training with premise pairs (e.g., A + B-, B + C-, C + D-, D + E-), which establishes a stimulus hierarchy (A > B > C > D > E).
View Article and Find Full Text PDFFront Behav Neurosci
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Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.
Introduction: Physical exercise has repeatedly been reported to have advantageous effects on brain functions, including learning and memory formation. However, objective tools to measure such effects are often lacking. Eyeblink conditioning is a well-characterized method for studying the neural basis of associative learning.
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