Attenuation of Atherogenesis via the Anti-inflammatory Effects of the Selective Estrogen Receptor Beta Modulator 8β-VE2
Bibliographic record
Abstract
BACKGROUND: Recent studies suggest that modulation of estrogen receptor β (ERβ) may play a crucial role in maintaining vascular homeostasis. We hypothesized that selective ERβ activation will attenuate atherogenesis via anti-inflammatory mechanisms. METHODS AND RESULTS: Atherosclerosis-prone apoE mice were ovariectomized and then fed a high-cholesterol diet with daily subcutaneous injections of the highly selective and potent ERβ agonist (8β-VE2) for 5 weeks. Compared with controls, treatment with 8β-VE2 reduced aortic arch atherosclerotic lesion areas by 34% of total and 75% of dense lesions, while not altering the serum lipid profile. We attribute these observed vascular effects solely to ERβ modulation as (1) treatment with the nonselective ER antagonist ICI 182,780 completely abrogated the beneficial vascular effects of 8β-VE2 and (2) uterine weight (a sensitive indicator of ERα modulation) did not change with 8β-VE2 treatment. Moreover, mice treated with 8β-VE2 had reduced serum interleukin 1β and tumor necrosis factor α levels. Finally, treatment of macrophages in vitro with 8β-VE2 blocked the uptake of acetylated low-density lipoprotein, suppressed the extracellular levels of the inflammatory cytokine tumor necrosis factor α, and enhanced the extracellular levels of the antiatherogenic/anti-inflammatory protein heat shock protein 27. CONCLUSIONS: Selective ERβ activation by 8β-VE2 attenuates atherogenesis and is associated with favorable modulation of vascular inflammation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".