Accumulation of High-Density Lipoprotein-Derived Estradiol-17β Fatty Acid Esters in Low-Density Lipoprotein Particles<sup>1</sup>
Bibliographic record
Abstract
Estrogens are known to be powerful antioxidants in lipid-aqueous systems, as demonstrated by their inhibition of low-density lipoprotein (LDL) oxidation in vitro. Studies reporting that endogenous human estrogens could be rendered fat-soluble by esterification with fatty acids in vivo, and the subsequent detection of such esters in blood and fat tissue suggested a possible mechanism explaining how estrogens might protect LDL. Because of their lipophilicity, esterified estrogens may become incorporated in the lipoprotein structure, providing antioxidant potential for the particles. We incubated labeled 17beta-estradiol with ovarian follicular fluid and with plasma in the absence and presence of the LCAT inhibitor DTNB. This was followed by ultracentrifugal isolation of LDL and high-density lipoprotein and analysis of the radioactive label in the "ester" and "free" fractions purified from these lipoproteins. The results indicated that LCAT-mediated synthesis of esterified 17beta-estradiol occurred in high-density lipoprotein particles, and suggested a novel cholesterol ester transfer protein-mediated mechanism for their transfer to LDL particles.
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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) | 0.001 | 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".