Neonatal Onset of Leptin Signalling in Dopamine Neurones of The Ventral Tegmental Area in The Rat
Bibliographic record
Abstract
Leptin inhibits feeding by acting on hypothalamic and mesolimbic dopamine (DA) pathways involved in the homeostatic and hedonic control of energy balance. In the rodent, the neonatal period is characterised by high circulating leptin concentrations and an insensitivity to the anorectic effects of this hormone, suggesting that the modulation of these circuits by leptin is reduced during this period. The present study aimed to examine the onset of the functional ventral tegmental area (VTA) response to leptin during the neonatal period and to characterise the phenotype of leptin-responsive VTA neurones. On postnatal day (PND) 10 in pups insensitive to the anorectic effects of leptin and exclusively dependent on their mother for feeding, leptin administration failed to increase phosphorylated signal transducer of activation and transcription 3 (pSTAT3) and phosphorylated extracellular signal-regulated kinase (pERK)1/2 immunoreactivity in the midbrain. At the onset of independent feeding on PND16, leptin stimulated pSTAT3 production in the lateral parabrachial pigmented area of the midbrain, with a subset of these pSTAT3-positive neurones co-localising with tyrosine hydroxylase, a marker of DA neurones. Leptin did not increase pERK1/2 immunoreactivity in DA neurones on PND16. These results suggest that the insensitivity of PND10 pups to the anorectic effects of leptin might be mediated, at least in part, by a lack of signalling through the Janus kinase/STAT signalling pathway in VTA DA neurones in response to leptin before the onset of independent feeding.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".