Bibliographic record
Abstract
This thesis investigates the effects of ghrelin and its receptor, the growth hormone secretagogue receptor (GHSR), on food reward and food-seeking behaviors in female mice.Previous research has primarily focused on male mice, demonstrating that ghrelin promotes food reward behaviors using the conditioned place preference (CPP) task.To determine if similar effects are observed in female mice, we conducted a series of CPP tasks with palatable food used as the reinforcer.In Experiment 1, we examined CPP responses in female mice after intraperitoneal (IP) injections of ghrelin (10nM/mouse) or saline under ad-lib conditions.Experiment 2 investigated the effects of the GHSR antagonist JMV 2959 (10 mg/kg) on CPP responses in both ad-lib and food-restricted conditions.In Experiment 3, we explored CPP responses to different doses of JMV 2959 (10 mg/kg, 20 mg/kg, and 30 mg/kg) under food-restricted conditions.Finally, Experiment 4 compared conditioned place preferences of GHS-R knockout and wildtype (WT) female mice in both food-restricted and ad-lib conditions.Results showed that the 10nM dose of ghrelin was not effective in enhancing a conditioned place preference to the compartment paired with the palatable food compared to controls.Ad-lib fed mice treated with JMV2959 showed reduced preference to the side paired with the palatable snack, but under food restricted conditions, JMV2959 treatment enhanced conditioned place preference to the palatable snack.Similarly, GHSR KO mice showed enhanced preference to the palatable snack but regardless of feeding status.These data suggest that the effects of peripheral ghrelin on motivated state may be complex and dependent on the feeding condition of the animal being tested.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".