Variation in the Renin Angiotensin System throughout the Normal Menstrual Cycle
Bibliographic record
Abstract
It has been demonstrated elsewhere that circulating renin angiotensin system (RAS) components peak when plasma estrogen levels are highest, during the luteal phase of the normal menstrual cycle. This phenomenon has been attributed to "activation" of the RAS. The end-organ vasoconstrictive response to this phenomenon has not been well established. In two related experiments, the RAS was studied in healthy, premenopausal women during predefined phases of the normal menstrual cycle. In the first experiment, the circulating components of the RAS and the systemic hemodynamic response to incremental lower body negative pressure (LBNP) during the follicular and luteal phases of the menstrual cycle were examined. Response variables included mean arterial pressure (MAP), renin, plasma renin activity (PRA), angiotensin II (AngII), and aldosterone. Baseline levels of renin, PRA, and aldosterone were significantly higher in the luteal phase. In response to LBNP, there were significant increases in all variables in both phases; however, the humoral response to this stimulus was significantly augmented in the luteal phase compared with the follicular phase. Despite these elevations in circulating components of the RAS during the luteal phase, subjects were unable to maintain MAP in response to LBNP, exhibiting a dramatic depressor response that did not occur during the follicular phase. In the second experiment, renal and peripheral hemodynamic function at baseline, and in response to AngII blockade with losartan, were examined in women during these high and low estrogen phases of the menstrual cycle. The renal and peripheral hemodynamic responses were similar in the luteal phase and the follicular phase. These results demonstrate that, despite an increase in circulating RAS components during the luteal phase of the menstrual cycle, the system is blunted rather than "activated," at least at a tissue level. Further studies are needed to clarify this mechanism.
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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 | 0.001 |
| 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) | 0.000 | 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".