Mini-ghrelins: Functional Characterization of N-terminal Peptides Derived From Ghrelin Proteolysis in Male Samples
Bibliographic record
Abstract
Some evidence suggests that ghrelin in plasma undergoes proteolytic processing, leading to the generation of shorter peptides containing the bioactive N-terminal end of this peptide hormone. However, the chemical nature and bioactivity of these shorter versions of ghrelin (termed mini-ghrelins) remain to be clearly defined. Mini-ghrelins generated in plasma were analyzed using mass spectrometry. The binding to and action on the GH secretagogue receptor (GHSR) of mini-ghrelins were assessed in vitro in a heterologous expression system using fluorescent imaging and electrophysiology, as well as in vivo in male mice through binding studies, immunohistochemistry, and behavioral assessments. We present the first characterization of peptides derived from ghrelin proteolysis in human, rat, and mouse plasma. We found that the shortest mini-ghrelin in humans and rats is ghrelin(1-11). In vitro, ghrelin(1-11) binds to GHSR, activates it with similar potency to ghrelin, and inhibits further ghrelin binding. In mice, ghrelin(1-11) binds to GHSR in orexigenic neurons of the arcuate nucleus but does not induce detectable changes in food intake or in the levels of the neuronal activation marker c-Fos in the hypothalamus. Instead, it prevents binding of fluorescent ghrelin and blocks its orexigenic effects. Ghrelin(1-14), the shortest mini-ghrelin detected in mice, exhibits similar properties to ghrelin(1-11) both in vitro and in vivo. We propose that ghrelin proteolysis in plasma-and the resulting generation of mini-ghrelins-is not merely a mechanism to reduce plasma ghrelin concentration but also a process that diminishes ghrelin's action by blocking its effects.
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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) | 0.000 | 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 | 0.000 |
| 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".