Selective alpha 1-adrenergic blockade attenuates resting beat-to-beat blood pressure variability in healthy young men
Bibliographic record
Abstract
Resting beat-to-beat blood pressure variability is a powerful predictor of cardiovascular events and end-organ damage. However, its underlying mechanisms remain incompletely understood. For instance, alterations in beat-to-beat blood pressure variability are thought to be driven by changes in both the reflex control of the autonomic nervous system and peripheral vascular function. To determine the role of peripheral sympathetic vasoconstriction on the beat-to-beat blood pressure variability, beat-to-beat heart rate (HR, by electrocardiography) and blood pressure (finger photoplethysmography) were continuously measured in seven healthy men (22 ± 5 yr) at rest (supine position), with and without (Control) a systemic and selective blockade of alpha 1-adrenergic receptors through the oral administration of Prazosin (1 mg/20 kg of body weight). Stroke volume was estimated from the blood pressure waveform (ModelFlow), permitting the calculation of cardiac output and total peripheral resistance. Two hours post-Prazosin ingestion, blood pressure responses to intravenous bolus infusion of phenylephrine were robustly reduced (-80 ± 15%, P = 0.001), indicating a significant functional blockade of alpha 1-adrenergic receptors. However, all resting hemodynamic variables were unchanged after the oral ingestion of Prazosin. Compared with control, Prazosin significantly reduced the standard deviation of systolic (5.5 ± 0.9 vs. 3.7 ± 0.7 mmHg, P = 0.004), diastolic (3.3 ± 1.0 vs. 2.4 ± 0.6 mmHg, P = 0.05), and mean blood pressure (3.7 ± 0.8 vs. 2.5 ± 0.5 mmHg, P = 0.02), as well as cardiac output (652 ± 251 vs. 428 ± 78 mL/min, P = 0.02) and total peripheral resistance (1.1 ± 0.6 vs. 0.5 ± 0.4 mmHg/L/min, P = 0.03). Similar results were found using different indices of blood pressure variability. Altogether, these findings suggest that peripheral sympathetic vasoconstriction plays a pivotal role in modulating resting beat-to-beat blood pressure variability in healthy young men. National Council for Scientific and Technological Development (CNPq; grant: 307293/2019-0 and 431740/2018-6). This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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 | 0.000 | 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) | 0.001 | 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".