Lathosterol to cholesterol ratio in serum predicts cholesterol lowering response to plant sterol therapy in a dual center, randomized, single‐blind placebo controlled trial.
Bibliographic record
Abstract
Plant sterol (PS) therapy for LDL‐C lowering has highly variable efficacy across individuals. It has been suggested that cholesterol synthesis levels may affect PS response. A study was conducted to test lathosterol to cholesterol ratio (L/C), a marker of cholesterol synthesis, as a predictor of response to PS consumption. 63 mildly hypercholesterolemic adults, with high (n=24, L/C = 2.03 ± 0.39) or low (n=39, L/C =0.99±0.28) L/C ratio at baseline, consumed either 0 or 2g/d (free sterol) of PS ester in margarine for 28 days in a dual‐center, single‐blind, randomized, crossover design. Plasma lipids, non‐cholesterol sterols, and 7‐α hydroxy‐cholesterol (7αHC) a marker of bile acid (BA) synthesis, were measured at the end of each phase. PS consumption significantly lowered LDL‐C, with a significant interaction with L/C ratio. LDL‐C was lowered in the low L/C group (−0.29 mmol/L 95% CI [−0.39, −0.19] p=<0.0001), but not the high L/C group (−0.04 mmol/L 95% CI [−0.18, 0.09] p=0.4904). 7αHC after PS consumption correlated with LDL response in high L/C group (r=−0.59, p=0.002), but not in the low or combined L/C groups. The L/C ratio predicts reductions in LDL‐C in response to PS consumption. BA synthesis may be associated with PS response in individuals with high cholesterol synthesis. These findings could help in identifying non‐responders to PS therapy. Registered at clinicaltrials.gov as NCT01131832 . Grant Funding Source : CIHR
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".