Abstract 11554: Measures of High-Density Lipoprotein Function and Composition in Men and Women with Severe Aortic Valve Stenosis
Bibliographic record
Abstract
Introduction and Hypothesis: Aortic valve calcification (AVC), is the intrinsic mechanism of valvular obstruction in severe aortic stenosis (AS), sharing similarities with atherosclerosis. There are differences in AVC by sex, with women having a lower burden of calcification than men, but the mechanism for this is unclear. Improved HDL functionality has been associated with protection against coronary artery calcification, but its relationship to AVC is less studied. Methods: We evaluated measures of high-density lipoprotein (HDL) functionality in 46 patients with severe AS, n= 30 men, n=16 women. ATP-Binding Cassette A1 (ABCA1) mediated cholesterol efflux capacity (CEC) was measured from human cultured Tamm-Horsfall protein 1 (THP-1) macrophages to apoB-depleted patient plasma samples. Lipid profile, lecithin-cholesterol acyltransferase activity (LCAT), fast protein liquid chromatography (FPLC), HDL size, and small pre-β1 and α-HDL particles, were measured in apolipoprotein B-depleted patient plasma. Proteomic analysis was used to explore sex-based differences in the HDL proteome. Results: Women with severe AS had higher ABCA1-mediated CEC, as compared to men (n=46, p=0.04). We found differences in FPLC profiles between sexes in severe AS along with a reduction in preβ and α-particles in men vs women by spectral counts, (preβ-HDL, 15661.74±789.00 vs 20298.29±1076.15, p=0.002), and (α-HDL, 50447.00± 546.52 vs 63006.35±756.81, p=0.03). Conversion of free cholesterol into cholesteryl esters by LCAT was decreased in men vs. women (12.00±8.07 %/h vs 16.44±9.11 %/h, p=0.03). We identified 108 HDL-associated proteins in a representative man and woman, of which, 15 were found only in the female sample Conclusions: Sex-specific differences in measures of HDL functionality were found in patients with severe AS. Future studies should consider whether sex-based differences in HDL functionality might account for the decreased burden of calcification in women vs. men with severe AS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".