Vasopressin (VP) and neuropeptide FF (NPFF) systems in the normal and hypertensive human brainstem
Bibliographic record
Abstract
Vasopressin (VP)-, neuropeptide FF (NPFF)-, and tyrosine hydroxylase (TH)-expressing neurons were studied by means of single and double immunocytochemistry in the human brainstem of controls who died suddenly due to trauma and of patients who suffered from essential hypertension and died due to acute myocardial infarction, while in one case there was brain hemorrhage. In the control and hypertensive groups VP fibers and NPFF neurons and fibers were the most abundantly present in the dorsal vagal complex, especially in the dorsal motor nucleus of the vagus. Numerous VP and NPFF fibers formed synaptic-like contacts with neuronal profiles in the dorsointermediate, centrointermediate, ventrointermediate, caudointermediate, and caudal parts of the dorsal motor nucleus of vagus as well as adjacent medial and intermediate subnuclei of the solitary nucleus. VP, but not NPFF, positive fibers were found to vastly contact TH-positive neuronal profiles in A2/C2, A2, and ambiguus nucleus (Amb). The density of VP fibers in the dorsal motor nucleus of the vagus and Amb did not differ between hypertensive patients and controls, whereas the density of NPFF fibers in hypertensives was 3.19 times lower in the dorsal motor nucleus of vagus and markedly decreased in the Amb. In both groups, VP and NPFF were scarcely present in the pain pathways, suggesting that these peptides are not crucially involved in nociceptive control in human. The reduction of NPFF release within the dorsal motor nucleus and Amb could serve as a possible cause of the impairment of cardiac vagal control in hypertensive patients.
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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 | 0.001 | 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 | 0.000 |
| 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".