Neuroendocrine and neurochemical impact of aggressive social interactions in submissive and dominant mice: implications for stress-related disorders
Bibliographic record
Abstract
Social conflicts may engender stress-related behavioural and physiological disturbances in the victims of aggression. In addition, stress-like neurochemical changes and ensuing depressive and anxiety symptoms might also be evident in the perpetrators of aggressive acts. The present investigation assessed basal levels of circulating corticosterone and of brain serotonin (5-HT) and norepinephrine (NE) in pre-identified submissive and dominant mice. In addition, brain neurochemical changes were determined following a single or three 15-min aggressive episodes both in submissive mice and in those that dominated the aggressive interplay. Three minutes after single and repeated confrontations, plasma corticosterone levels and 5-HT utilization within the prefrontal cortex (PFC) and hippocampus were increased to a comparable extent in submissive and dominant animals. Interestingly, however, NE utilization within the PFC and hippocampus was augmented to a greater level in submissive mice. These results suggest that 5-HT neuronal functioning was generally responsive to aggressive events, irrespective of social rank, whereas NE neuronal activity within the PFC and hippocampus was more sensitive to the submissive/dominance attributes of the social situation. It is possible that NE and 5-HT variations associated with an aggressive experience contribute to depressive- and anxiety-like manifestations typically observed after such psychosocial stressors, particularly in submissive mice. However, given that 5-HT changes occur irrespective of social rank, these data suggest that a toll is taken on both submissive and dominant mice, leaving them vulnerable to stress-related pathology.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".