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Record W4410503258 · doi:10.1093/sleep/zsaf090.0285

0285 The Effect of Chronic Trazodone Administration on Sleep in the APPNL-F Mouse Model of Alzheimer’s Disease

2025· article· en· W4410503258 on OpenAlexafffund
Emad Shams, Mayuko Arai, Jefferey Yue, Artemis Kohanfekr, Daniela Purvica, Brianne A. Kent

Bibliographic record

VenueSLEEP · 2025
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsSimon Fraser University
FundersArmy Research OfficeNatural Sciences and Engineering Research Council of Canada
KeywordsTrazodoneSleep (system call)DiseaseAdministration (probate law)MedicineNeuroscienceAlzheimer's diseasePsychologyPsychiatryInternal medicineAntidepressantPolitical science

Abstract

fetched live from OpenAlex

Abstract Introduction Sleep disturbances are prevalent among individuals diagnosed with Alzheimer’s disease (AD), typically manifested as low levels of slow-wave sleep (SWS; N3 stage). Restoring SWS has been suggested as an intervention to slow AD progression. Trazodone is a licensed antidepressant also commonly prescribed to manage sleep disturbances due to its hypnotic effects, safety, and tolerability. However, there is limited preclinical research on the effects of trazodone beyond the antidepressant effects. We investigated the effect of voluntary oral trazodone administration at doses 0mg, 10mg, 40mg, and 60 mg/kg on sleep in C57BL/6J mice (n=15; age 10-13 months). We found that a single dose of trazodone hydrochloride (HCL) has a dose-dependent effect on the duration of non-rapid eye movement (NREM) and delta power; 60 mg/kg caused an increase in NREM compared to the baseline (mean increase = 1.54 h ± 0.40 SEM; mixed-design ANOVA dose x vigilance state F(6, 36) = 17.89, p < 0.0001). Methods We then investigated the effect of chronic trazodone administration on sleep in a mouse model of AD (APP NL-F) in a younger (n=16, 9 months-old) and older (n=18, 14 months-old) cohort. Trazodone was administered orally at 60mg/kg through voluntary intake for 60 days. Mice were implanted with EEG/EMG headmounts and were recorded for 7 sessions, each lasting 48 h over the 60-day treatment period. Our results show that the mice reliably consumed trazodone throughout the treatment period, with n=30/34 mice fully consuming the trazodone on all 60 days. The EEG/EMG data were manually scored for wake, NREM, and rapid eye movement (REM). Results Preliminary analysis for 9 months-old cohort showed a significant effect of treatment on NREM sleep (repeated measures ANOVA, F(4, 12) = 21.433, p < 0.001). Post hoc analysis confirmed increased NREM sleep after 60 days, compared to the baseline (p = 0.0205). Conclusion Together, these studies demonstrate for the first time that trazodone dose-dependently increases SWS in mice and that trazodone can enhance NREM sleep in a mouse model of AD, even after 60 days of treatment. Support (if any) This Work was funded by NSERC Discovery Grant (RGPIN/03909-2021, BAK), CRC (CRC-2020-00047, BAK), and CFI (CFI-41428, BAK).

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 score0.002
Threshold uncertainty score0.007

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.328
Teacher spread0.288 · 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 routes2
Has abstractyes

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