The Effects of Acute Trazodone Administration on Sleep in Mice
Bibliographic record
Abstract
Abstract Study Objectives Trazodone is an antidepressant with robust hypnotic effects, frequently prescribed off-label to treat insomnia. Trazodone has gained recent attention in the context of neurodegenerative diseases because sleep has been proposed as a novel target for disease-modifying therapeutics. Preclinical research in rodents examining the effects of trazodone on sleep is limited, so here we aimed to develop a translationally-focused protocol to study the sleep-promoting effects of trazodone in mice. Methods We investigated the effects of voluntary oral trazodone administration at doses of 0 mg/kg, 10 mg/kg, 40 mg/kg, and 60 mg/kg on sleep in C57BL/6J mice (n = 15; females = 6; age 10-13 months). Mice were dosed with trazodone for 6 consecutive nights, while being recorded with intracranially implanted 2-channel electroencephalogram (EEG) and electromyography (EMG). EEG/EMG recordings were analyzed for time spent in each vigilance state and power spectra. Results A single dose of trazodone, administered prior to the onset of the 12-h rest phase, dose-dependently increased non-rapid eye movement (NREM) sleep and delta power during NREM sleep, at the expense of rapid eye movement (REM) sleep. These effects on sleep persisted after six consecutive days of dosing, albeit to a lesser extent. Conclusion We have validated a novel voluntary oral administration protocol for trazodone use in mice and have shown that trazodone effectively promotes NREM in mice. Our novel protocol will be useful for future research investigating the effects of trazodone on sleep in mouse models of disease. Statement of significance Trazodone is an antidepressant known to increase slow wave sleep in humans. Slow wave sleep promotion is being explored as a disease-modifying therapeutic target for neurodegenerative diseases, such as Alzheimer’s disease. We have developed a novel translationally-focused protocol for administering trazodone to mice, which overcomes some of the challenges of using trazodone for preclinical sleep research. Using our protocol we have demonstrated for the first time that trazodone dose-dependently increases the amount of NREM sleep and delta power in mice, recapitulating the enhancement of slow wave sleep in humans treated with trazodone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".