Short sleep duration is associated with enhanced endothelin-1 vasoconstrictor toneThis article is one of a selection of papers published in the two-part special issue entitled 20 Years of Endothelin Research.
Bibliographic record
Abstract
Short sleep duration is associated with increased cardiovascular disease (CVD) morbidity. Endothelial vasomotor dysfunction represents a potential mechanism contributing to the increased CVD risk associated with habitual short sleep duration. Endothelin (ET)-1 is a potent vasoconstrictor peptide that is associated with endothelial vasomotor dysfunction and increased CVD risk. Currently, there is no information regarding the influence of short sleep duration on ET-1 vasoconstrictor activity in adults. We tested the hypothesis that ET-1-mediated vasoconstrictor activity is greater in adults who sleep less than 7 h/night (short sleep duration) compared with those who sleep 7-9 h/night (normal sleep duration). Forearm blood flow (FBF) responses to intra-arterial infusion of BQ-123 (100 nmol/min for 60 min), a selective ETA receptor antagonist, were determined in 80 adults: 50 with normal sleep duration (32 males and 18 females; age: 56.6 +/- 1.2 years; sleep: 7.6 +/- 0.1 h/night) and 30 with short sleep duration (17 males and 13 females; age: 56.5 +/- 1.2 years; sleep: 6.1 +/- 0.1 h/night). In response to BQ-123, adults reporting short sleep duration had a greater increase in resting FBF compared with adults reporting normal sleep duration (approximately 20% vs. approximately 8%; P < 0.05). There was an inverse relation between mean nightly sleep duration and the FBF response to BQ-123 at 60 min (r = -0.29, P < 0.05). These findings indicate that habitual short sleep duration is associated with greater ET-1-mediated vasoconstrictor tone. Increased ET-1 vasoconstrictor activity may contribute to the elevated CVD risk associated with chronic reductions in sleep duration.
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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".