Enhanced α1 adrenergic sensitivity in sensorimotor gating deficits in neonatal ventral hippocampus-lesioned rats
Bibliographic record
Abstract
Neonatal ventral hippocampus (nVH) lesion in rats is a widely used animal model of schizophrenia due to the predominantly post-pubertal emergence of many schizophrenia-like behaviours. Our previous studies have shown increased ligand binding of alpha1 adrenergic receptors (AR) in the frontal cortex of post-pubertal, but not pre-pubertal, nVH-lesioned rats, compared to sham-lesioned control rats. Moreover, pretreatment with the alpha1 adrenergic receptor antagonist prazosin reversed amphetamine-induced hyperlocomotion in controls, but failed to do so in lesioned animals. This led to our hypothesis that nVH lesions may lead to post-pubertal hyperactivity of alpha1 adrenergic receptors. In order to test the functional relevance of alpha1 adrenergic hyperactivity to schizophrenia-like behaviours of nVH-lesioned animals, we conducted prepulse inhibition (PPI) studies in post-pubertal (postnatal days 56-120) sham and lesioned animals in response to systemic injections of alpha1 adrenergic receptor antagonist and agonist, prazosin and cirazoline, respectively. Our results show that PPI deficits in nVH-lesioned animals were reversed with prazosin treatment, without a significant effect on PPI in sham animals. Further, at various doses, cirazoline had a significantly greater PPI disruptive effect in nVH-lesioned animals than in sham animals. Together, these results suggest that nVH-lesioned animals show a hyperactive alpha1 adrenergic receptor system that may mediate sensorimotor gating abnormalities reported in these animals.
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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 | 0.001 | 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) | 0.002 | 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".