Effects of albumin‐conjugated PYY on food intake: the respective roles of the circumventricular organs and vagus nerve
Bibliographic record
Abstract
The mechanism and routes through which peptide tyrosine-tyrosine (PYY) exerts its anorectic effects are still largely unknown. In the present study, we investigated the roles of the area postrema (AP), subfornical organ (SFO) and vagus nerve in mediating the anorectic effect of PYY using PYY(3-36) conjugated to human serum albumin (PYY(3-36)-HSA) in rats. PYY(3-36)-HSA is a large molecule that does not penetrate the blood-brain barrier, and thus provides a useful tool to discriminate between the central (brain) and peripheral actions of this peptide. PYY(3-36)-HSA induced significant reductions in food and body weight gain up to 24 h after administration. The anorectic effect of PYY(3-36)-HSA was delayed for 2 h in rats in which both AP and SFO were ablated, while lesion of either of these circumventricular organs in isolation did not influence the feeding responses to PYY(3-36)-HSA. The PYY(3-36)-HSA-induced anorectic effect was also reduced during the 3- to 6-h period following subdiaphragmatic vagotomy. Lesions of AP, SFO and AP/SFO as well as subdiaphragmatic vagotomy blunted PYY(3-36)-HSA-induced expression of c-fos mRNA in specific brain structures including the bed nucleus of stria terminalis, central amygdala, lateral-external parabrachial nucleus and medial nucleus of the solitary tract. In addition, subdiaphragmatic vagotomy inhibited the neuronal activation induced by PYY(3-36)-HSA in AP and SFO. These findings suggest that the anorectic effect and brain neuronal activation induced by PYY(3-36)-HSA are dependent on integrity of AP, SFO and subdiaphragmatic vagus nerve.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".