Potential role of the interaction between equine estrogens, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) in the prevention of coronary heart and neurodegenerative diseases in postmenopausal women.
Bibliographic record
Abstract
BACKGROUND: An inverse relationship between the level of high-density lipoprotein (HDL) and coronary heart disease (CHD) has been reported. In contrast, oxidized HDL (oHDL) has been shown to induce neuronal death and may play an important role in the pathogenesis of CHD. In the present study we have investigated a: the effect of various equine estrogens on HDL oxidation, b: the inhibition of LDL oxidation by HDL and c: the effect of these estrogens on LDL oxidation in the presence of HDL. RESULTS: All 11 equine estrogens tested protected the HDL from oxidation in a concentration dependant manner. Equilenin, 17beta-dihydroequilenin, and 17alpha-dihydroequilenin (Delta6-8-estrogens) were found to be the most potent inhibitors of HDL oxidation. Some of the novel ring B unsaturated estrogens were 2.5 to 4 times more potent inhibitors of HDL oxidation than 17beta-estradiol. HDL was found to delay LDL oxidation. The protection of LDL oxidation by HDL is enhanced by the addition of estrogen, with equilenin being again more potent than 17beta-estradiol. CONCLUSIONS: Equine estrogens can differentially inhibit the oxidation of HDL with the Delta6-8-estrogens being the most potent antioxidants. The ability of estrogens to enhance HDL's antioxidant activity is to our knowledge the first report of an interaction of estrogen with HDL that results in the delay or inhibition of LDL oxidation. This may be another mechanism by which estrogens may reduce the risk of CHD and neurodegenerative diseases in healthy and younger postmenopausal women.
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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) | 0.000 | 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".