Hydrogenated fat consumption affects cholesterol synthesis in moderately hypercholesterolemic women
Bibliographic record
Abstract
To determine mechanisms by which hydrogenated fat influences plasma lipid levels, 14 women (65;-71 yrs with LDL-C >/= 130 mg. dl(-)(1)) consumed, for 5-week periods each, a baseline (BL) diet (39% kcal fat, 164 mg chol. 1000 kcal(-)(1)) and reduced fat diets (30% kcal) where two-thirds of the fat was either soybean oil (SO), low trans squeeze (SQM), medium trans tub (TM), or high trans stick (SM) margarines, or butter (BT). Plasma lipid levels were analyzed at the end of each phase. Fractional synthesis rates (FSR) in pools/day (p. d(-)(1)) and absolute synthesis rates (ASR) in grams/day (g. d(-)(1)) of free cholesterol (FC) were measured using the deuterium incorporation methodology. Plasma total (P < 0.01) and low density lipoprotein (P < 0.05) cholesterol levels increased with increasing degree of hydrogenation or saturated fat intake. High density lipoprotein cholesterol levels (P < 0.05) were lowest on the SM diet when compared to the BT diet. Low trans SQM (0.081 +/- 0.019 p. d(-)(1)) and medium trans TM (0.086 +/- 0.029 p. d(-)(1)) diets elicited responses similar to the SO (0.078 +/- 0.024 p. d(-)(1)) diet, whereas high trans SM (0.053 +/- 0.029 p. d(-)(1)) diet mimicked the BT (0.062 +/- 0.017 p. d(-)(1)) and high fat BL (0.053 +/- 0.023 p. d(-)(1)) diet in its suppression (P < 0.05) of FSR-FC. ASR-FC, which is an approximation of the daily production of newly synthesized cholesterol, showed a trend similar to the FSR-FC data. These results indicate that reduced synthesis is not responsible for the higher plasma TC levels seen with consumption of the SM, BT, and BL diets, and suggest that another mechanism, possibly impairment of the catabolic pathway of cholesterol, is involved.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".