Enkephalin knockdown in the central amygdala nucleus reduces unconditioned fear and anxiety
Bibliographic record
Abstract
The endogenous opioid enkephalins (ENK) are highly expressed in the central nucleus of the amygdaloid complex (CeA) where several lines of evidence point to a potential role in the modulation of fear and anxiety. In this study, we aimed to assess the role of CeA ENK using local injections of a lentiviral vector expressing a short hairpin RNA (shRNA) targeting ENK in Sprague-Dawley rats. We injected this vector in the CeA and a 56% downregulation of ENK mRNA was observed in animals when compared with scrambled shRNA animals. Anxiety-like behaviors were also assessed using the elevated plus maze and social interaction test. There was an increase in exploration of open arms of the elevated plus maze in ENK knockdown animals compared with controls, but no change in social interaction. In addition, we used the contextual fear conditioning procedure to assess fear expression and learning in these animals. There was a reduction in freezing induced by acute shocks during the training procedure. Interestingly, associative learning was not affected, and ENK knockdown animals displayed an equivalent freezing when re-exposed to the conditioning chamber 48 h later. These results contrast with knockout mice studies, which ascribed anxiolytic properties to ENK, and they demonstrate the need for a thorough understanding and characterization of neuroanatomically distinct ENK pathways.
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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) | 0.002 | 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".