Multiple NPY Receptors Inhibit GABAA Synaptic Responses of Rat Medial Parvocellular Effector Neurons in the Hypothalamic Paraventricular Nucleus
Bibliographic record
Abstract
We have recently shown that NPY and alpha-melanocyte-stimulating hormone, which potently induce or inhibit feeding, respectively, have opposing modulatory actions on GABAergic synapses in the medial parvocellular region of the paraventricular hypothalamic nucleus (mpPVN). Because this action might underlie the effects of NPY on feeding, we have examined the pharmacology of NPY responses using electrophysiological recordings. Focal electrical stimulation within the PVN elicited a GABA(A) synaptic response in some mpPVN neurons, which was reversibly inhibited by NPY in a concentration-dependent manner (EC(50) = 28 nM). NPY did not alter the response to the GABA(A) agonist, muscimol. Agonist responses to NPY analogs were not consistent with a single NPY receptor subtype; the most subtype selective agonists were less effective than the more broadly selective ones. Antagonist blockade of individual receptor subtypes partly inhibited NPY action, while fully blocking effects of selective agonists. Combining Y1 and Y5 antagonists blocked actions of NPY entirely, but the Y2 antagonist also completely blocked actions of NPY in some neurons. NPY inhibits GABA(A) synaptic transmission onto mpPVN neurons, but this can be mediated by three different NPY receptors. Controversy regarding the receptor or receptor subtypes involved in NPY-mediated feeding may arise from the multiple NPY receptors present.
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) | 0.001 | 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 | 0.001 |
| 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".