Investigating the Contribution of Agouti-Related Peptide (AGRP) on Ghrelin’s Ability to Promote Social Interaction in Mice
Bibliographic record
Abstract
Ghrelin is a stomach-derived peptide that increases food intake by acting as an endogenous ligand for growth hormone secretagogue receptor (GHSR).GHSR is abundantly expressed in the brain with high expression found in agouti-related peptide (AGRP) and neuropeptide-Y (NPY) neurons within the hypothalamic arcuate (ARC) nucleus.Recent data suggests that, in addition to increasing food intake, ghrelin promotes social interaction whereas ghrelin receptor antagonists increase social vigilance.In this present thesis, we aimed to investigate the effects of ghrelin on promoting social interaction in mice and the role of AGRP in mediating these effects.Sixty-three male and female C57BL/6J mice were assigned to groups receiving intraperitoneal (IP) injections of saline or ghrelin (1 mg/kg of ghrelin in .1cc of isotonic saline) followed by injections of saline or the MC3/4 receptor agonist melanotan-II (100ug of MTII in .1cc of isotonic saline) which competes with AGRP, an endogenous antagonist to the MC3/4 receptors.Thirty minutes later, mice were tested on a social interaction test to investigate how these drug treatments affected social behaviors.Results showed that, regardless of sex, ghrelin injected peripherally promotes the motivation for social interaction as reflected by a significant decrease in the latency to approach a novel-conspecific.In contrast, MTII injected peripherally enhanced social vigilance as reflected by a significant increase in the frequency of corner observations.No interaction effects between the two drugs were found, suggesting that ghrelin promotes the motivation for social interaction, and these effects are independent from activation of AGRP neurons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".