Netrin-1 receptor deficiency protects against psychostimulant-induced behaviours in mice
Bibliographic record
Abstract
Psychostimulant drugs, such as cocaine and amphetamine, increase extracellular dopamine in certain brain regions, including those that make up the mesolimbic dopamine system. Dysfunction of this system is implicated in drug addiction. The development of the mesolimbic dopamine system involves netrins, a group of secreted proteins that guide growing axons to their targets. Mice that develop with reduced expression of deleted in colorectal cancer, a netrin-1 receptor, exhibit abnormal dopamine release in response to psychostimulant drugs. Furthermore, these mice show reduced amphetamine-induced locomotor activation when compared to wild-type mice. In this study, our objective is to further examine the drug-induced behaviours of DCC deficient mice. We compared adult DCC deficient and wild-type mice using two behavioural tests. First, we examined the locomotor response of these mice to cocaine. Second, using conditioned place preference, we assessed the rewarding effects of amphetamine. DCC deficient mice showed reduced cocaine-induced locomotor activation and diminished amphetamine-induced reward when compared to wild-type mice. Taken together, this study suggests that DCC deficiency can protect against certain psychostimulant-induced behaviours.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".