Nociceptin/orphanin FQ suppresses the excitability of neurons in the ventromedial nucleus of the hypothalamus
Bibliographic record
Abstract
Nociceptin or orphanin FQ (N/OFQ) stimulates food intake when injected into the ventromedial nucleus of the hypothalamus (VMN). The VMN negatively regulates energy balance in part by tonically activating proopiomelanocortin arcuate neurons, thereby suppressing food intake. However, it is not clear how orexigenic neurotransmission within the VMN can stimulate food intake. We tested the hypothesis that the orexigenic action of N/OFQ results from its inhibition of anorexigenic VMN neurons. We studied the effects of N/OFQ on the electrical properties of anorexigenic VMN neurons in acute brain slices. Ionic mechanisms underlying the actions of N/OFQ were studied using whole cell patch-clamp recordings from VMN neurons expressing the anorexigenic leptin receptor (LepRb). Bath application of N/OFQ to LepRb-expressing VMN neurons elicited a robust, reversible membrane hyperpolarization that suppressed neuronal excitability by raising the action potential firing threshold and cell rheobase. N/OFQ activated a postsynaptic, G-protein coupled, inwardly rectifying potassium (GIRK) current that was sensitive to G-protein inactivation, blocked by the GIRK blocker SCH23390, and occluded by the GABAB agonist and potent GIRK activator, baclofen. Application of the selective N/OFQ receptor antagonist SB-612111 blocked the inhibitory effects of N/OFQ. We concluded that N/OFQ directly inhibited VMN neurons by activating a GIRK. These results implicate the site-specific contributions of orexigenic neuropeptides at VMN neurons to suppress anorexigenic output. This study thus advances our understanding regarding the contributions of the VMN to hypothalamic regulation of energy balance.
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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) | 0.000 | 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) | 0.001 | 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".