Abnormalities of presynaptic protein CDCrel‐1 in striatum of rats reared in social isolation: relevance to neural connectivity in schizophrenia
Bibliographic record
Abstract
Post-weaning social isolation-rearing of rats leads to behavioural and neurochemical sequelae that model aspects of schizophrenia, and it may be useful to test hypotheses related to putative molecular mechanisms of the illness. In humans, the presynaptic protein CDCrel-1 represents an interesting candidate molecule for the mechanism and aetiology of schizophrenia. CDCrel-1 modulates dopamine neurotransmission, binds to the SNARE protein syntaxin and maps onto a region of chromosome 22q11 deleted in velo-cardio-facial and DiGeorge syndromes, which are associated with increased prevalence of schizophrenia. Using the isolation-rearing model, we measured immunoreactivity of the synaptic proteins CDCrel-1, synaptophysin and syntaxin. Male, Sprague-Dawley rats were raised in groups or in isolation for 12 weeks from weaning. Synaptic protein immunoreactivities were measured in striatal and hippocampal homogenates, using a sensitive enzyme-linked immunoadsorbent assay with monoclonal antibodies. Isolation-rearing produced region- and protein-specific effects. CDCrel-1 immunoreactivity was significantly lower in the striatum and marginally higher in the hippocampus of isolation-reared compared with socially reared animals. There were no statistically significant differences in synaptophysin immunoreactivity in either region. Confocal microscopy demonstrated a high degree of colocalization between the two presynaptic proteins. In striatum, a robust relationship between CDCrel-1 and syntaxin immunoreactivities was observed in socially reared rats, this was lost in the isolation-reared animals. Altered levels of the septin CDCrel-1 in isolation-reared rats may contribute to changes in neuronal connectivity and neurotransmission, and suggest a potential role for CDCrel-1 in schizophrenia related to chromosome 22q11 deletion syndrome.
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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".