Altered circadian rhythms and oscillation of clock genes and sirtuin 1 in a model of sudden unexpected death in epilepsy
Bibliographic record
Abstract
OBJECTIVES: Circadian rhythms are affected in many neurological disorders. Although sleep disturbances are known in epilepsy, data on circadian rhythm disturbances in epilepsy are sparse. Here, we examined diurnal and circadian rest-activity and sleep-wake patterns in Kcna1-null mice, which exhibit spontaneous recurrent seizures and are a model of sudden unexpected death in epilepsy. Furthermore, we sought to determine whether seizures or aberrant oscillation of core clock genes and a regulator, sirtuin 1 (Sirt1), is associated with disrupted rhythms. METHODS: We used passive infrared actigraphy to assess rest-activity patterns, electroencephalography for seizure and sleep analysis, and reverse transcription polymerase chain reaction and Western blotting to evaluate expression of clock genes and Sirt1 in Kcna1-null and wild-type mice. RESULTS: Epileptic Kcna1-null animals have disrupted diurnal and circadian rest-activity patterns, tending to exhibit prolonged circadian periods. Electroencephalographic analysis confirmed disturbances in sleep architecture, with more time spent awake and less asleep. Although all epileptic mice manifested disrupted diurnal and circadian rest-activity patterns, we found no correlation between actual seizure burden and degree of sleep disruption. However, we found attenuated oscillations of several clock genes (ie, Clock, Bmal1, Per1, and Per2) and diurnal Sirt1 mRNA in the anterior hypothalamus. SIGNIFICANCE: Attenuated oscillation of several core clock genes correlates with, and may underlie, aberrant diurnal and circadian rest-activity and sleep-wake patterns observed in Kcna1-null mice. This could contribute to late complications in epilepsy, such as sudden unexpected death in epilepsy. Sirt1 may represent a useful therapeutic target for rescuing circadian clock gene rhythmicity and sleep patterns in epilepsy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".