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Record W4312086361 · doi:10.1002/alz.069100

An M1/sigma‐1 receptor agonist prevents cognitive deficits, reduces amyloid plaques and neuroinflammation in a transgenic rat model of Alzheimer’s amyloid pathology.

2022· article· en· W4312086361 on OpenAlexaffabout
Chiara Orciani, Sonia Do Carmo, Morgan K. Foret, Hélène Hall, Quentin Bonomo, Agustina Lavagna, Chunwei Huang, Claudio A. Cuello

Bibliographic record

VenueAlzheimer s & Dementia · 2022
Typearticle
Languageen
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsMorris water navigation taskNeuroinflammationMuscarinic acetylcholine receptorAgonistMedicineInternal medicineEndocrinologyPsychologyPharmacologyNeuroscienceReceptorDiseaseHippocampus

Abstract

fetched live from OpenAlex

Abstract Background Acetylcholinesterase inhibitors represent four out of six drugs for treating Alzheimer’s disease (AD), with time‐limited efficacy likely due to the progressive loss of cholinergic neurons. The selective allosteric M1 muscarinic and sigma‐1 receptor agonist Anavex 3‐71 (aka AF710B) [1] takes advantage of the fact that acetylcholine postsynaptic M1 muscarinic brain receptor levels remain unchanged in AD. Previously, Anavex 3‐71 treatment attenuated AD hallmarks in McGill‐R‐Thy1‐APP transgenic rats when administered at advanced stages of the AD‐like pathology [2]. However, preventive strategies instead of late treatment should be more effective in AD. Therefore, we tested whether Anavex 3‐71 administration during early amyloid pathology stages could prevent cognitive impairment, plaque deposition and neuroinflammation. Method Pre‐plaque, seven‐month‐old McGill‐R‐Thy1‐APP rats were subjected to daily oral administration of Anavex 3‐71 (10 µg/kg) for seven months. After one month of drug interruption (wash‐out), we performed Novel Object Recognition (NOR), Morris Water Maze (MWM) and Social Preference (SP) behavioural tests. Subsequently, brains were extracted, fixed and analyzed by histochemistry and immunohistochemistry. Result McGill‐APP rats had deficits in discriminating the novel object in the NOR and locating the hidden platform in the MWM compared to wild‐type littermates. Anavex 3‐71 restored the abilities of McGill‐APP rats in the NOR task to wild‐type levels and partially rescued the deficits in the MWM. In the SP task, Anavex 3‐71‐treated McGill‐APP rats exhibited diminished deficits in SP interaction time with a “stranger rat”. Treatment significantly reduced the number of mature Thioflavin‐S positive plaques in the subiculum compared to vehicle‐treated McGill‐APP rats and diminished the number of diffuse plaques in the cortex and hippocampus. Furthermore, Anavex 3‐71 treatment significantly reduced microglia and astrocyte recruitment towards CA1 hippocampal Aβ‐burdened neurons compared to untreated McGill‐APP rats. Conclusion The long‐lasting effect of Anavex 3‐71 in preventing cognitive decline of McGill‐R‐Thy1‐APP rats, even after a wash‐out period would suggest some preventative, disease‐modifying, properties of the compound over the AD‐like amyloid pathology. This is supported by the attenuation of extracellular Aβ deposition and reduced glial cell recruitment towards hippocampal neurons. [1] Fisher et al., 2016; Neurodegenerative Diseases. https://doi.org/10.1159/000440864 [2] Hall et al., 2018; Alzheimer’s & Dementia. https://doi.org/10.1016/j.jalz.2017.11.009

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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.301
Teacher spread0.260 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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