Leptin Immunoreactivity Is Localized to Neurons in Rat Brain
Bibliographic record
Abstract
Leptin is secreted from adipocytes and is thought to enter the brain to regulate and coordinate metabolism, feeding behaviour, energy balance and reproduction. It is now clear that there are many additional sites of leptin production, including human placenta, ovary, stomach, skeletal muscle, mammary gland, pituitary gland and brain. In the present work, we employed double-label immunofluorescent histochemistry to establish the neuronal localization of leptin immunoreactivity (IR). To accomplish this, we used the neuron-specific marker NeuN to label cells in the arcuate nucleus (ARC), piriform cortex and hippocampus. In the supraoptic nucleus (SON) and paraventricular nucleus (PVN), we used antisera to oxytocin and vasopressin as neuronal markers. Double labelling revealed leptin IR in neurons of the ARC and piriform cortex. Leptin IR was confined to the nucleus and to distinct perinuclear sites. In contrast, neurons in the CA 2/CA 3 region of the hippocampus showed little nuclear staining. Leptin IR was clustered around the nucleus in these cells. Neurons of the dentate gyrus exhibited both nuclear and perinuclear localization of leptin IR. In the SON/PVN, most oxytocin- and vasopressin-IR neurons also contained leptin IR, often in perinuclear sites. In conclusion, the neuronal, perinuclear localization of leptin IR in rat brain corresponds closely to that of leptin receptor (OB-R) IR, which has also been detected intracellularly. Our observation of leptin IR associated with cell nuclei suggests the existence of an OB-R distinct from the well-described membrane forms.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".