Ghrelin and NUCB2/Nesfatin‐1 Co‐Localization With Digestive Enzymes in the Intestine of Pejerrey (<scp><i>Odontesthes bonariensis</i></scp>)
Bibliographic record
Abstract
Ghrelin (orexigenic) and nesfatin-1 (anorexigenic) are two peptides with opposing actions on food intake regulation and are mainly expressed in the hypothalamus and gut of mammals and fish. Both are involved in the regulation of a wide range of physiological processes in vertebrates, including metabolism, growth, and reproduction. However, the anatomical relationship between these peptides and the nutrient assimilation processes are not well understood. Thus, the aim of this work was to determine the localization of ghrelin, nesfatin-1, and several enzymes involved in the digestive process (lipoprotein lipase, aminopeptidase A, trypsin, and sucrase-isomaltase) in the intestine of pejerrey (Odontesthes bonariensis), a species with commercial importance in South America. We observed co-localization of ghrelin and nesfatin-1 in enteroendocrine cells, absorptive cells, and in cells of the lamina propia. Approximately half of the cells displaying ghrelin-like immunoreactivity co-localized the NUCB2/nesfatin-1-like signal. In addition, both peptides showed co-localization with lipoprotein lipase, aminopeptidase A, trypsin, or sucrase-isomaltase. All digestive enzymes except for aminopeptidase A and trypsin, showed high co-localization (68-88%) with both ghrelin-like and NUCB2/nesfatin-1-like signals in absorptive, enteroendocrine, and lamina propria cells. Together, our results provide immunohistochemical evidence supporting a role for both ghrelin and NUCB2/nesfatin-1 in the regulation of nutrient assimilation in fish. Anat Rec, 302:973-982, 2019. © 2018 Wiley Periodicals, Inc.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".