The Role of Neuropeptides and Neurohormones in Neurogenic Cardiac Arrhythmias
Bibliographic record
Abstract
The functional significance of neuropeptides and neurohormones throughout the neuroaxis has been the focus of considerable research over the past 25 years. These "gut peptides" or "reproductive hormones" have been localized within nuclei responsible for the relay of visceral afferent information to the forebrain. The presence of peptides and hormones along the gut- or heart-brain continuum suggests that these neurochemicals do more than modulate the visceral processes of digestion and reproduction respectively. Numerous studies have shown that the exogenous administration of these neurochemicals directly into visceral afferent nuclei significantly alters blood pressure, heart rate, autonomic tone and the sensitivity of the baroreceptor reflex (an index of sympatho-vagal balance). A strong inverse correlation has been demonstrated between the sensitivity of the baroreceptor reflex and susceptibility to lethal cardiac arrhythmias which lead ultimately to sudden cardiac death. The differential effects of various neurochemicals on the sensitivity of the baroreceptor reflex suggests that some neurochemicals may act as preventatives while others may actually contribute to the pathogenesis of neurogenic cardiac arrhythmias. Hormones such as estrogen, in addition to their neuroprotective properties, may also play a role in modulating the cardiovascular consequences to neurogenic pathologies including stroke and epilepsy. This review will summarize the evidence available which suggests that neuropeptides and neurohormones can alter both neurogenic as well as visceral pathology-induced changes in autonomic function resulting in an increased risk of sudden cardiac death.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".