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Record W4390199683 · doi:10.1002/alz.074952

Sleep alterations in two different rodent models of Alzheimer’s disease

2023· article· en· W4390199683 on OpenAlexaff
Audrey Hector, Julien Dufort‐Gervais, Maria João da Costa Caiado, Chloé Provost, Karl J. L. Fernandes, Valérie Mongrain, Jonathan Brouillette

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité de SherbrookeUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Hospitalier de l’Université de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
Fundersnot available
KeywordsWakefulnessSleep (system call)Hippocampal formationElectroencephalographyEndocrinologySlow-wave sleepInternal medicineDelta waveNeuroscienceDementiaPsychologyMedicineDisease

Abstract

fetched live from OpenAlex

Abstract Background In Alzheimer’s disease (AD), sleep alterations are among the first clinical symptoms observed. It is also well‐established that sleep loss affects hippocampal function. Moreover, sleep disturbances enhance the risk of developing AD, but the underlying mechanisms remain unclear. There is mounting literature indicating that soluble low‐molecular‐weight amyloid‐beta oligomers (Aβo) are particularly neurotoxic,1 and their specific contribution to sleep disturbances should be defined. Recently, dysregulation of lipid metabolism was reported in AD and 3xTg‐AD mice,2 but its relation to sleep also need to be assessed. Therefore, our work has two objectives: 1) define the effect of Aβo on different sleep variables and 2) verify whether stearoyl‐coenzyme A desaturase (SCD), an enzyme involved in controlling fatty acid unsaturation, contributes to sleep disturbances in 3xTg‐AD mice. Method Chronic hippocampal injections of soluble Aβo were done in wild‐type male rats, and electroencephalographic (EEG) measurements were performed to define wake/sleep alterations. Additionally, female 3xTg‐AD mice received a 28 day‐treatment with an SCD inhibitor, and EEG recordings were performed either 14 or 28 days post‐treatment Result Results show that the time spent in wakefulness, slow‐wave sleep (SWS) and paradoxical sleep was preserved in Aβo‐injected rats. However, for their frontal cortex, EEG spectral activity during wakefulness was increased by Aβo for slow‐wave activity (SWA; 0.5‐5 Hz) and low‐beta activity (16‐20 Hz), whereas it was decreased during SWS for theta (5‐9 Hz) and alpha activity (9‐12 Hz). Moreover, the theta activity/SWA ratio was decreased during wake and SWS. Concerning 3xTg‐AD mice, they spend more time in SWS during their active period compared to littermates. The number of individual bouts of wake and SWS was increased in 3xTg mice. Ongoing analyses will assess the impact of SCD on sleep variables in 3xTg mice. Conclusion The results support the presence of sleep alterations (indicative of poor sleep quality) in AD models, and suggest that sleep phenotypes could serve as a non‐invasive marker of early AD. 1. Brouillette J, et al. J Neurosci 2012;32:7852‐7861. 2. Hamilton LK, et al. Nat Commun 2022;13:2061.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
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 head0.102
GPT teacher head0.350
Teacher spread0.247 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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