The CETP polymorphism rs5882 is associated with triglyceride lowering in response to plant sterol consumption (1038.3)
Bibliographic record
Abstract
Plant sterol (PS) consumption may lower triglyceride (TG) concentrations. However, human clinical trial evidence is inconsistent, with only some trials showing TG reductions. This heterogeneity in responsiveness of TG concentrations to PS consumption could have a genetic basis. Our objective was to investigate whether SNPs in genes related to TG metabolism could be associated with changes in TG concentrations following PS consumption. 63 mildly hypercholesterolemic adults, pre‐assessed for cholesterol synthesis using lathosterol to cholesterol ratio (L/C) (High, n=24, L/C = 2.03 ± 0.39 umol/mmol; Low, n=39, L/C =0.99±0.28 umol/mmol) consumed either 2g/d (free sterol) of PS ester or placebo in margarine for 28 d in a dual‐center, single‐blind, randomized, crossover design. Serum TG concentrations were measured at the end of each phase. Candidate SNPs and ApoE variant were accessed by TaqMan assay. PS consumption did not lower TG overall (p=0.0506), but had an interaction with rs5882 in CETP (p=0.0080). Homozygous minor allele (G/G=‐0.47mmol/L, p=0.0002, n=10) carriers of rs5882 had reductions in TG concentrations with PS consumption, while A/A (+0.01mmol/L, p =0.6634, n=25) and A/G (‐0.04mmol/L, p= 0.3399, n=28) carriers did not. rs5882 in CETP associated with TG lowering due to PS consumption, and could serve as a genetic marker to identify individuals who derive TG lowering benefits from PS consumption. 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".