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Record W4413284381 · doi:10.1093/ijnp/pyaf052.121

108. SELECTIVE POTENTIATION OF α5-GABAA RECEPTORS CONTRIBUTES TO REDUCTION OF COGNITIVE BURDEN AND NEURONAL LOSS IN AGING MICE

2025· article· en· W4413284381 on OpenAlexaff
Thomas D. Prévot, Alexandra Bernardo, Carla Elena Mezo‐González, Jianmin Chen, Michael Marcotte, Kean Yung Wong, Cassandra Marceau-Linhares, Celeste Pina‐Leblanc, Audrey Bouchet, J Chiella, Dishary Sharmin, Prasenjit Mondal, James M. Cook, Etienne Sibille

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGABAA receptorLong-term potentiationNeuroscienceReceptorCognitionPsychologyReduction (mathematics)MedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Reduced GABA/somatostatin (SST) signaling is reported in aging as well as in psychiatric, stress-related and neurodegenerative disorders. Cortical SST+ interneurons inhibit the dendrites of excitatory neurons, largely through α5-containing GABAA receptors (α5-GABAAR). We previously showed that an α5-positive allosteric modulator (α5-PAM) alleviates working memory deficits and reverses neuronal atrophy in young mice subjected to chronic stress, and in old mice. We then started to investigate the efficacy of this α5-PAM on other cognitive domains, investigated further the neurotrophic effects looking at markers of synaptic functions, and tested the requirement of the α5-subunit in such effects, using transgenic models insensitive to α5-PAMs. Aims & Objectives The aim of this study was to demonstrate the efficacy of chronic α5-PAM administration at reducing cognitive burden in old mice, with a focus on working memory, spatial learning and memory, and cognitive flexibility, and demonstrate the requirement of α5-GABAAR in cognitive and neurotrophic effects of α5-PAM. Method Male and female C57BL6 mice (~12/group) and α5-Knock-In mice (~14/group) for which a point mutation is introduced in the binding pocket of α5-PAM, rending the α5-GABAAR insensitive to α5-PAM, were included in the study. Efficacy of 4 weeks of the α5-PAM GL-II-73 (30mg/kg, p.o) at rescuing cognitive deficits was assessed for working memory (alternation task), spatial memory (water maze), and cognitive flexibility (set-shifting), in comparison to performance from old mice receiving vehicle. Brains were then collected and either stained (Golgi-Cox; n=4brain/group; 8cell/brain) for spine density and maturation quantification in the prefrontal cortex and hippocampus (NeuroLucida), or processed for western blot assay to measure synaptic markers (PSD95, SYN1, GPHN, RDX, etc.) in the same brain regions. Results Chronic treatment reversed cognitive deficits (ps<0.01), with a strong effect on working memory. It also reversed neuronal atrophy (p<0.001 in PFC and CA1). Both procognitive and neurotrophic effects were observed only in animals with α5-GABAAR still sensitive to α5-PAM (i.e. the α5-KI mice did not benefit from the procognitive and neuronal benefits of the α5-PAM). Discussion & Conclusions Results support that selective α5-targeting of GABAA receptors overcomes aging-related cognitive deficits and detriments in neuronal morphology. These studies also demonstrate the requirement for functional and drug-sensitive α5-GABAAR in order to elicit the procognitive and neutrophic effects of α5-PAM. Altogether, these studies demonstrate that a GABAergic intervention could represent a major avenue for clinical development for patients suffering from cognitive deficits in aging, and could be of interest for other age-related disorders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.336
Teacher spread0.327 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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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Citations0
Published2025
Admission routes1
Has abstractyes

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