Circadian gene <i>Bmal1</i> in the lateral habenula regulates alcohol drinking behavior in a sex specific manner
Bibliographic record
Abstract
ABSTRACT The circadian clock regulates most aspects of mammalian physiology and behaviour, including alcohol drinking behaviour. Disrupted circadian clock function via deletion of clock genes along the mesolimbic dopamine (DA) pathway has been linked to altered patterns of alcohol drinking behaviour. The lateral habenula (LHb), an epithalamic structure that house a semi-autonomous circadian clock, is a negative regulator of the mesolimbic DA system and of alcohol consumption. To study the role of the LHb circadian clock in alcohol consumption, we knocked out the core clock gene, Bmal1 specifically in the LHb and examined the impact on various alcohol drinking paradigms and affective behaviours in male and female mice. Our findings demonstrate that Bmal1 deletion in the LHb leads to sex-specific alterations in alcohol consumption. Male knockout mice exhibited increased voluntary alcohol intake, enhanced consumption of a bitter alcohol solution, and elevated alcohol binge drinking compared to controls. Conversely, female knockouts showed a marginal decrease in voluntary intake, significantly reduced consumption of an aversive alcohol solution, and lower post abstinence, relapse-like drinking. These results indicate that Bmal1 in the LHb exerts a repressive effect on alcohol intake in males, while it facilitates intake under certain aversive conditions in females. Interestingly, Bmal1 deletion did not significantly affect anxiety-like or depressive-like behaviours, suggesting that the habenular clock’s role in alcohol consumption is independent of affective state. These findings mark Bmal1 in the LHb as a novel sexually dimorphic regulator of alcohol consumption in mice. Potential mechanisms involving the circadian modulation of DA and serotonin signaling pathways by the LHb clock is discussed.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".