Genetic basis for heterogeneity of response of LDL cholesterol to plant sterols
Bibliographic record
Abstract
Plant sterols (PS) share a similar chemical structure to cholesterol, differing only in side chains and double bond placement. PS are naturally found in plants and are typically ingested in the 400mg/day range. Consumption of 1-3 g of PS a day has been repeatedly shown to lower total and LDL cholesterol. However, data from nutritional trials involving plant sterols demonstrate considerable inter-individual variations in response to PS consumption. The objective of this research was to investigate the metabolic and genetic factors that underlie this heterogeneity of responsiveness of LDL cholesterol to PS consumption. A study was conducted to test the effectiveness of lathosterol to cholesterol ratio (L/C), a surrogate marker of cholesterol synthesis, as a predictor of LDL cholesterol lowering in response to plant sterol consumption. 63 mildly hypercholesterolemic adults, with high (n=24, L/C = 2.03 ± 0.39umol/mmol) or low (n=39, L/C =0.99±0.28 umol/mmol) L/C ratio at baseline, consumed either 0 or 2g/d of PS for 28 days in a dual-center, single-blind, randomized, crossover design. Plasma lipid and non-cholesterol sterol concentrations were measured at the end of each phase. Single nucleotide polymorphisms (SNPs) in candidate genes involved in cholesterol metabolism were investigated for potential gene by nutrient interactions. Plant sterol consumption lowered total and LDL cholesterol concentrations overall, but only individuals with low L/C ratio responded to plant sterol treatment by lowering TC and LDL-C, while individuals with high L/C ratio showed no marked improvement. The rs3808607 T-allele in the promoter of the CYP7A1 gene was associated with decreased LDL-C responsiveness to PS consumption. The rs3808607 G-allele and ApoE ε4 were associated with increased LDL-C responsiveness to PS consumption. PS consumption did not lower TG overall (p=0.0506), but had an interaction with rs5882 in CETP (p=0.0080). Baseline L/C predicts LDL-C lowering due to PS consumption, which is associated with rs3808607 genotype in the promoter of the CYP7A1 gene. rs5882 in CETP is associated with TG lowering due to PS consumption. rs3808607, rs5882 and ApoE variant are potential genetic markers which could identify individuals who would derive maximum benefit from PS consumption.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".