Estrogen Receptors α and β Have Similar Activities in Multiple Endothelial Cell Pathways
Bibliographic record
Abstract
The presence of both estrogen receptor alpha (ERalpha) and ERbeta in vascular cells has greatly increased the complexity of potential estrogen regulatory pathways in the cardiovascular system. Here, human umbilical vein endothelial cells were engineered using adenovirus vectors to express either ERalpha or ERbeta. The activities of ERalpha and ERbeta were compared in three distinct gene regulatory pathways, including inhibition of IL-1beta induction of E-selectin expression, inhibition of basal endothelin-1 production, and the ability to induce two matrix-stabilizing enzymes: tissue transglutaminase and a novel member of the lysyl oxidase family. Both ERs were active on these end points, although ERbeta was typically less efficacious than ERalpha. As no class of gene regulation could differentiate ERalpha from ERbeta activity, we characterized a novel steroid (7alpha-thiophenyl-E2) that bound with similar affinities to ERalpha and ERbeta, but functioned as an ERalpha agonist and ERbeta antagonist for all of these endothelial responses. This pattern of receptor subtype-selective activity was not unique to endothelial cells, but was also seen in metabolically active HepG2 cells, suggesting potential in vivo utility. The panel of endothelial responses coupled with a selective modulator should provide a means to characterize the roles of ERalpha and ERbeta in endothelial cells in vivo.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".