Role of melatonin in blood pressure regulation: An adjunct anti‐hypertensive agent
Bibliographic record
Abstract
Cardiovascular diseases account for approximately one-third of all deaths each year. Of this, hypertension accounts for approximately 9.4 million deaths. Melatonin, the primary circadian hormone, has been substantiated as an effective and safe adjunct anti-hypertensive agent. In support of this, melatonin receptors have been identified within the central and peripheral nervous system, as well as the cardiovascular system, including various vascular tissues. Therefore, it is not surprising that recent research has emerged highlighting a key role of melatonin in autonomic regulation of blood pressure. In animals, pinealectomies elicit peripheral vasoconstriction and hypertension. In studies involving humans, both healthy controls and patient populations of essential and nocturnal hypertension, melatonin administration demonstrates significant hypotensive effects that yield clinically significant results. However, the precise mechanism by which melatonin elicits its hypotensive effects in humans require further investigation. This review focuses on melatonin, its role within the cardiovascular system and the emerging implications for its use as an anti-hypertensive agent. Additionally, this review will discuss the current thinking on potential mechanisms behind the hypotensive effects of melatonin including: endothelium-dependent vasodilation, anti-oxidant defence mechanisms and sympatho-vagal autonomic regulation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".