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Record W4401966109 · doi:10.3389/fnsyn.2024.1470791

Editorial: Regulation of AMPA receptors in brain diseases, from the genetic to the functional level, volume II

2024· editorial· en· W4401966109 on OpenAlexaff
Laura Jiménez-Sánchez, Tak Pan Wong, Alberto Ouro

Bibliographic record

VenueFrontiers in Synaptic Neuroscience · 2024
Typeeditorial
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMcGill UniversityDouglas College
Fundersnot available
KeywordsAMPA receptorNeuroscienceReceptorBrain sizeVolume (thermodynamics)PsychologyBiologyGlutamate receptorMedicineGeneticsPhysics

Abstract

fetched live from OpenAlex

In recent years, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptors have gained great interest among the scientific community, given their fundamental role in excitatory synapses and their ability to modulate brain function rapidly. Acting as ligand-gated ion channels, AMPA receptor is the main driver of excitatory neurotransmission in the brain. This role is essential for synaptic transmission and plasticity, neuronal activity, and behaviors. Dysfunction or dysregulation of AMPA receptors has been associated with various brain disorders, including neurodegenerative diseases such as Alzheimer's disease and psychiatric disorders such as schizophrenia. This Research Topic further elaborates on the role of AMPA receptors in epilepsy and altered social behaviors, as well as its relationship with N-methyl-D-aspartate (NMDA) receptors during development and synaptic plasticity phenomena.Neural functioning can be better understood by modeling the physiological mechanisms that underlie it. This context makes mathematical models particularly relevant, but it poses a huge challenge to successfully and coherently integrate what is known about the molecular, synaptic, and neuronal components involved and to transfer all this information into large simulations. In this Research Topic, Dainauskas et al. presented a model to understand synaptic plasticity at hippocampal CA3-CA1 synapses (Dainauskas et al., 2023). Given the plasticity of AMPA receptors is largely mediated by NMDA receptors, the authors emphasized the roles of GluN2A and GluN2B NMDA receptor subunits in their model. Interestingly, their model is able to predict synaptic changes based on voltagedependent mechanisms. Validated against experimental data, it showed how the GluN2B subunit influences learning rules and synaptic strength, providing insights into both healthy brain function and pathological conditions.Understanding rules that govern the formation of synaptic circuitry could shed light on the pathogenesis of neurodevelopmental disorders. Chen et al. highlighted the importance of NMDA receptors in synaptic maturation and function (Chen et al., 2024). Although AMPA receptors and NMDA receptors showed smooth distributions across dendrites, short periods of Ca 2+ influx resulted in a rapid clustering of NMDA receptors, followed by an accumulation of Ca 2+ /calmodulin-dependent protein kinases (CaMKII) and AMPA receptors. These results suggest that glutamatetriggered signaling contributes to the maturation of young synapses through sequential recruitment of NMDA and AMPA receptors.Hyperexcitation of a small number of glutamatergic neurons is responsible for inducing epileptic seizures. Zinchenko et al. demonstrated a novel mechanism of calcium-permeable AMPA receptors in GABAergic neurons for triggering seizures: by releasing GABA onto other GABAergic neurons, GABA activated GABAB receptors and potassium channel Kv7, which in turn reduced the activity of postsynaptic GABAergic neurons (Zinchenko et al., 2024). Reduced activity of these GABAergic neurons would facilitate seizures by the disinhibition of glutamatergic neurons. These results identify new targets for the treatment of epilepsy and other neurodegenerative diseases that are related to the hyperactivation of glutamatergic neurons.Finally, Xu et al. reviewed the state of knowledge about the role of AMPA receptors in social behaviors (Xu et al., 2024). They highlighted the role of different AMPA receptor subunits in social behaviors like aggression or sociability. In addition, they summarized the role of AMPA receptors in abnormal social behaviors in brain diseases such as schizophrenia and autism spectrum disorders. A better understanding of the contribution of AMPA receptors to social behavior would allow the identification of new therapeutic targets for treating these pathologies.Together, these papers illustrated a wide range of mechanisms that underlie the maturation, plasticity and network properties of AMPA receptors. The abnormality of these mechanisms could underlie synaptic pathologies in neurodevelopmental disorders and epilepsy. In addition, an increased understanding of the role of AMPA receptors in behaviors creates opportunities for targeting these receptors in treating behavioral deficits in brain diseases. Further examination of the contribution of AMPA receptors to brain diseases remains a promising avenue for discovering novel treatments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0040.001
Research integrity0.0110.013
Insufficient payload (model declined to judge)0.0170.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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