Distribution of the neuropeptide FF1 receptor (hFF1) in the human hypothalamus and surrounding basal forebrain structures: Immunohistochemical study
Bibliographic record
Abstract
Neuropeptides with C-terminal RFamide and their receptors NPFF1 (FF1) and NPFF2 (FF2) have been implicated in a wide variety of functions, including nociception and autonomic and neuroendocrine regulation. Recent studies indicate that the FF1, but not FF2, mRNA is highly expressed in the human hypothalamus. In the present study, localization of FF1 in the human hypothalamus and surrounding regions was studied immunohistochemically by using an antibody against human FF1 (hFF1). Brain sections from healthy 30-50-year-old individuals were used for hFF1 immunohistochemistry. The highest density of hFF1-stained cells was found in the posterior division of the bed nucleus of the stria terminalis and in the zona incerta. A moderate density of cells was observed in the perifornical nucleus, infundibular nucleus, tuberomammillary nucleus, and lateral tuberal nucleus. A lesser density was revealed in the dorsomedial hypothalamic nucleus, basal nucleus of Meynert, and anterior amygdaloid area. Only scattered hFF1 cells were found in the suprachiasmatic nucleus and hypothalamic paraventricular nucleus. hFF1 cells and fibers were absent in the supraoptic and mammillary nuclei. Single and double strands of hFF1-immunopositive punctate varicosities marked cellular processes of different caliber. The density of hFF1-immunostained fiber networks did not always coincide with that of hFF1-immunostained cells. hFF1 immunoreactivity was also found in the wall of blood vessels within most brain areas studied. Localization of hFF1 in discrete regions of the hypothalamus and extended amygdala may provide important insights into the role of amidated neuropeptides in central autonomic and neuroendocrine control in the human brain.
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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) | 0.002 | 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".