Calcium channels contribute to the decrease in blood pressure of pregnant rats
Bibliographic record
Abstract
Pregnancy is associated with hemodynamic changes such as reduced vascular resistance and blood pressure. We reported that, during late pregnancy, the activity of voltage-dependent calcium channels (VDCC) is altered in the adrenal cortex and vascular smooth muscle. These observations suggested that the late pregnancy-induced decrease in blood pressure is linked to diminished VDCC function. We attempted to prevent pregnancy-induced reduced blood pressure with a calcium channel activator (CGP 28392) in pregnant rats and to mimic it by administration of a calcium channel blocker (nifedipine) to nonpregnant rats. Treatment was given from the 15th day of gestation for 7 days. The systolic blood pressure of CGP 28392-treated pregnant rats rose transiently for 2 days and then declined toward values of nontreated pregnant controls, although remaining higher. However, nonpregnant rats maintained their high arterial pressure throughout CGP 28392 treatment. Nifedipine lowered the blood pressure in nonpregnant rats to values of nontreated term-pregnant controls. Both agents did not affect body weight, water or food intake, plasma renin activity, and plasma aldosterone or corticosterone levels. Nifedipine and CGP 28392 treatment of nonpregnant and pregnant animals, respectively, did not modify the response of aortic rings to KCl. These results show that VDCC activation caused hypertension, which modified the extent of the decrease in blood pressure at the end of pregnancy.
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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) | 0.000 | 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 | 0.002 |
| 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".