Bibliographic record
Abstract
Ghrelin is a gut-derived peptide hormone associated with feeding, energy balance, reward and the stress response.Among many of its identified functions, the role of ghrelin in anxiety has been particularly controversial with some authors reporting anxiogenic and others reporting anxiolytic effects of ghrelin receptor activity.In this thesis, we demonstrated that increasing ghrelin receptor activity in mice has anxiolytic effects in tests of anxiety involving stimuli with positive incentive value (i.e.palatable food or a novel conspecific mouse).We also found that this anxiolytic effect is mediated, at least in part, by ghrelin receptors in the ventral tegmental area.A role for ghrelin in social anxiety is particularly intriguing because social withdrawal and social anxiety are common symptoms of depression and there is strong evidence that ghrelin has other antidepressant properties.Depressive-like behaviors can be generated in mice by psychosocial stressors such as chronic social defeat.Thus we explored the possibility that treatment with the ghrelin agonist GHRP6 could prevent and/or alleviate stress-induced social anxiety when administered alone or in combination with the commonly prescribed antidepressant citalopram.We found that peripheral GHRP6 treatment was not sufficient to prevent or treat social withdrawal induced by chronic stress exposure.Chronic GHRP6 treatment, however, increased the number of immature neurons in the hippocampus.Furthermore, we found that chronic GHRP6 treatment reduced weight gain when administered alone as well as in combination with citalopram.Weight gain is a common side effect of antidepressant treatment thus the finding that GHRP6 can reduce these metabolic side effects has potential therapeutic potential. 3.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".