Neuropeptide Y: a new mediator linking sympathetic nerves, blood vessels and immune system?
Bibliographic record
Abstract
Neuropeptide Y (NPY(1-36)), a sympathetic cotransmitter and neurohormone, has pleiotropic activities ranging from the control of obesity to anxiolysis and cardiovascular function. Its actions are mediated by multiple Gi/o-coupled receptors (Y1-Y5) and modulated by dipeptidyl peptidase IV (DPPIV/cd26), which inactivates NPY's Y1-agonistic activity but generates the Y2 and Y5-agonist, NPY(3-36). Released by sympathetic activity, NPY is a major mediator of stress, responsible for prolonged vasoconstriction via Y1 receptors. Y1 receptors also mediate NPY's potent vascular growth-promoting activity leading in vivo in rodents to neointima formation. This and the association of a polymorphism of the NPY signal peptide with increased lipidemia and carotid artery thickening in humans strongly suggest NPY's role in atherosclerosis. NPY and DPPIV/cd26 are also coexpressed in the endothelium, where the peptide activates angiogenesis. A similar system exists in immune cells, where NPY and DPPIV/cd26 are coactivated and involved in the modulation of cytokine release and immune cell functions. Thus, NPY, both a messenger and a modulator for all three systems, is poised to play an important regulatory role facilitating interactions among sympathetic, vascular and immune systems in diverse pathophysiological conditions such as hypertension, atherosclerosis and stress-related alterations of immunity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".