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Record W7117167424 · doi:10.1002/alz70855_101022

Exploring the In Vivo Effects of Amyloid‐Beta Oligomers on Neuronal Activity and Neurotransmitter Release

2025· article· en· W7117167424 on OpenAlexaff
Vincent Hervé, Obai BinB KaAli, Habib Benali, Jonathan Brouillette

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsConcordia UniversityUniversité de Montréal
Fundersnot available
KeywordsNeurotransmitterPremovement neuronal activityIn vivoNeurotransmitter AgentsNeurotransmissionBiological activityNeural activityElectrophysiology

Abstract

fetched live from OpenAlex

BACKGROUND: One of the main neuropathological hallmarks of Alzheimer's disease (AD) is the accumulation of amyloid-beta oligomers (Aβo), which begins in the brain approximately 15 years prior to the onset of clinical symptoms. Aβo-induced neuronal hyperactivity has emerged as an early functional characteristic of AD, contributing to synaptic deficits, memory impairment, and neurodegeneration. Several studies suggest that Aβo reduce the inhibitory activity of the GABAergic system, leading to excessive activation of the glutamatergic system. The aim of this study is to investigate the impact of Aβo on neuronal activity and neurotransmitter release within the same animal model. METHOD: A microdialysis probe is implanted in the right hippocampus of a rat model to deliver Aβ oligomers over five consecutive days and to collect interstitial fluid (ISF) samples before, during, and after the injections. In addition, five electrodes are implanted within the hippocampi and default mode network of the rats to record neuronal activity. RESULT: Firstly, we demonstrated through immunohistochemistry that our Aβo injections are successfully delivered into the hippocampus. Our initial results demonstrate the ability to record local field potential (LFP) signals in five distinct brain areas and to detect several neurotransmitters (glutamate, GABA, serine, taurine, glutamine, and glycine) in ISF samples. Chronic Aβo injections resulted in a clear time-dependent increase in delta power and a progressive decrease in higher frequency bands (theta, alpha, beta, gamma) in the injected hippocampus. In the non-injected (left) hippocampus, stable trends were observed initially, with a late onset increase in delta power and reduction in higher frequency power by day 5 in the Aβo group. Preliminary results on the quantification of neurotransmitters, including glutamate and GABA, are currently being analyzed but have already been detected by mass spectrometry in the ISF fractions. CONCLUSION: This study will provide novel insights into the relationship between Aβo-induced changes in neuronal activity and neurotransmitter release, contributing to a better understanding of the neurodegenerative processes involved in early AD.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.293
Teacher spread0.254 · 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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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