Subclinical hyperthyroidism, a condition characterized by decreased thyroid-stimulating hormone (TSH) and normal concentration of thyroid hormone, is associated with an elevated risk for cognitive impairment. TSH is the major endogenous ligand of the TSH receptor (TSHR) and its role is dependent on signal transduction of TSHR. It has not, however, been established whether TSHR signaling is involved in the regulation of cognition. Here, we utilized Tshr knockout mice and found that Tshr deletion led to significantly compromised performance in learning and memory tests. Reduced dendritic spine density and excitatory synaptic density as well as altered synaptic structure in CA1 subfield of the hippocampus were also noted. Furthermore, the synapse-related gene expression was altered in the hippocampus of Tshr -/- mice. These findings suggest that TSHR signaling deficiency impairs spatial learning and memory, which discloses a novel role of TSHR signaling in brain function.
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http://dx.doi.org/10.1530/JOE-20-0026 | DOI Listing |
Adv Sci (Weinh)
January 2025
State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Biochemistry & Molecular Biology, Medical Primate Research Center, Neuroscience Center, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
The development of the mammalian neocortex is precisely regulated by temporal gene expression, yet the temporal regulatory mechanisms of cortical neurogenesis, particularly how radial glial cells (RGCs) sequentially generate deep to superficial neurons, remain unclear. Here, the hnRNP family member Syncrip (hnRNP Q) is identified as a key modulator of superficial neuronal differentiation in neocortical neurogenesis. Syncrip knockout in RGCs disrupts differentiation and abnormal neuronal localization, ultimately resulting in superficial cortical layer defects as well as learning and memory impairments in mice.
View Article and Find Full Text PDFAnat Sci Educ
January 2025
Department of Anatomy, Cell Biology, & Physiology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Active recall, the act of recalling knowledge from memory, and games-based learning, the use of games and game elements for learning, are well-established as effective strategies for learning gross anatomy. An activity that applies both principles is Catch-Phrase, a fast-paced word guessing game. In Anatomy Catch-Phrase, players must get their teammates to identify an anatomical term by describing its features, functions, or relationships without saying the term itself.
View Article and Find Full Text PDFJ Biochem Mol Toxicol
January 2025
Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Sevoflurane (Sev) is a widely applied anesthetic in clinical practice; however, it could induce neurotoxicity and lead to postoperative cognitive dysfunction (POCD). This study aimed to investigate the role and underlying mechanism of circHOMER1 in Sev-induced neurotoxicity and POCD. Sev treated mouse hippocampal neuronal HT22 cells and SD rats.
View Article and Find Full Text PDFInt J Neuropsychopharmacol
January 2025
Institute of Physiology, Medical School, University of Pécs, Pécs, Hungary.
Background: The tachykinin substance P (SP) facilitates learning and memory processes after its central administration. Activation of its different receptive sites, neurokinin-1 receptors (NK1Rs), as well as NK2Rs and NK3Rs was shown to influence learning and memory. The basal ganglia have been confirmed to play an important role in the control of memory processes and spatial learning mechanisms, and as part of the basal ganglia, the globus pallidus (GP) may also be involved in this regulation.
View Article and Find Full Text PDFNat Rev Neurosci
January 2025
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Schemas are rich and complex knowledge structures about the typical unfolding of events in a context; for example, a schema of a dinner at a restaurant. In this Perspective, we suggest that reinforcement learning (RL), a computational theory of learning the structure of the world and relevant goal-oriented behaviour, underlies schema learning. We synthesize literature about schemas and RL to offer that three RL principles might govern the learning of schemas: learning via prediction errors, constructing hierarchical knowledge using hierarchical RL, and dimensionality reduction through learning a simplified and abstract representation of the world.
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