Estrogen receptors activate atrial natriuretic peptide in the rat heart
Bibliographic record
Abstract
In this study, semiquantitative reverse transcription-PCR analysis showed that estrogen receptor alpha (ERalpha) and beta (ERbeta) mRNAs are developmentally regulated in the rat heart. We found that ERalpha mRNA was low in all heart chambers of 4-day-old rats, but was elevated in the atria (6- to 18-fold) and ventricles (3- to 4-fold) of adult rats. Western blotting analysis confirmed that these differences were efficiently translated into 67-kDa ERalpha protein. ERbeta mRNA was expressed at its highest level in the left atrium and was 3- to 4-fold lower in other heart chambers of 4-day-old animals. In adult rats ERbeta was decreased dramatically in the left atrium (20-fold) and, to a lesser extent in the other heart chambers (2- to 4-fold). Significant ER changes occurred already in the first week after birth. Accordingly, estrogen regulation in cells from neonatal hearts, as reported in several studies, may not correspond to that occurring in fully differentiated adult hearts, because of an altered degree of ER expression. In adult rats, ovariectomy decreases atrial ERalpha, the atria/body weight ratio, and atrial natriuretic peptide (ANP) transcription. Treatment of ovariectomized rats with 17-beta-estradiol (25 microg, 10 days, s.c.) reversed these changes. In addition, there was no effect of ovariectomy and 17-beta-estradiol supplementation on systolic blood pressure, but in ovariectomized rats a decreased heart rate followed 17-beta-estradiol administration. Similar to the effects on ERalpha in the atria, ovariectomy lowered plasma ANP levels, and 17-beta-estradiol administration restored ANP in the plasma of ovariectomized rats. Changes in plasma ANP correlated with changes in ANP content in the right atrium, as demonstrated by RIA. Increased ANP expression and secretion in response to ERalpha activation may be a protective mechanism in the heart.
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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 | 0.001 |
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".