Biotransformation of soy isoflavones and enhanced cholesterol lowering effect with an oligofructose‐enriched inulin in equol producers
Bibliographic record
Abstract
Objective: To assess whether the hypocholesterolemic effect of soy can be enhanced with an oligofructose‐enriched inulin (OF‐IN) by promoting the biotransformation of colonic soy isoflavones (i.e. equol production). Method: 23 hyperlipidemic adults (11M, 12F; 58±7y; LDL‐C, 4. 1±0.7mmol/L) completed three 4‐week phases: OF‐IN (10 g/d) and low‐fat dairy (control), and soy foods (isoflavones, 61 mg/d) with or without OF‐IN (10 g/d). Fasting blood lipids and anthropometrics were measured biweekly. Urine (24h) was collected at baseline and at the end of each phase. Results: A stepwise reduction in TChol:HDL‐C was observed for OF‐IN (0.25±0.13, P=0.08), soy (–0.07±0.08, P=0.41) and soy plus OF‐IN (–0.36±0.14, P=0.02), compared to baseline. Preliminary analysis suggested that this effect was seen most clearly in equol producers (n=7). TChol:HDL‐C for equol producers was 0.09±0.16 on OF‐IN, –0.23±0.14 on soy, and –0.72±0.42 on soy plus OF‐IN, compared to baseline. For non‐equol producers, TChol:HDL‐C was 0.41±0.17, 0.04±0.09, and –0.17±0.08, respectively. Conclusion: Intake of soy in conjunction with OF‐IN resulted in greater improvements in the lipid profile than their intake alone, suggesting a synergistic effect. This association was more prominent in equol producers possibly related to increased biotransformation of soy isoflavones. Funding: Heart and Stroke Foundation of Ontario, ORAFTI Group
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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 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".