Abstract P293: Effects of Diets That Vary in Fatty Acid Composition on Fecal Short-chain Fatty Acid Levels and Their Relationship With Circulating Lipids and Lipoproteins
Bibliographic record
Abstract
Introduction: The short-chain fatty acids (SCFA) acetic acid, propionic acid, and butyric acid are microbial-produced metabolites that can influence host physiology through regulation of hepatic cholesterol metabolism. These biologically relevant gut metabolites may play a role in the hypocholesterolemic effects of select dietary components. The objective of this exploratory study was to determine the effects of diets that differ only in fatty acid composition on fecal SCFA levels and to assess their correlations with circulating lipids, lipoproteins, and apolipoproteins. Hypothesis: We assessed the hypothesis that dietary fat quality will differentially affect fecal SCFA and there will be significant associations between fecal SCFA levels and those of circulating total cholesterol, low-density lipoprotein-cholesterol (LDL-C), non-high-density lipoprotein-cholesterol (non-HDL-C), and apolipoprotein (apo) B. Methods: In a double-blind, randomized, three period crossover, controlled feeding clinical trial, participants with ≥2 metabolic syndrome criteria (n=20) were provided with a weight maintenance, controlled feeding base diet plus conventional canola oil, high-oleic acid canola oil (HOCO), or a control oil (control diet formulated to represent a Western diet fatty acid profile) for 6 weeks followed by washout periods of ≥4 weeks. The macronutrient profiles of the diets were: canola diet [17.5% monounsaturated fatty acid (MUFA), 9.2% polyunsaturated fatty acid (PUFA), 6.6% saturated fatty acid (SFA)], HOCO diet (19.1% MUFA, 7.0% PUFA, 6.4% SFA), and control diet (10.5% MUFA, 10.0% PUFA, 12.3% SFA). Fecal and blood samples were collected at study enrollment and at the end of each diet. Results: After 6 weeks, a trend toward a treatment effect on endpoint fecal propionic acid was observed ( P =0.09), with a trend toward a higher concentration following the control compared to the canola diet ( P =0.09). Acetic acid was increased from baseline following the control diet ( P =0.04). After the control diet only, fecal levels of propionic acid were positively correlated with blood levels of LDL-C, non-HDL-C, and apo B (r=0.52 to 0.64, P =0.003 to 0.02), with a trend for total cholesterol (r=0.39, P =0.10), and acetic acid was positively correlated with LDL-C and apo B levels (r=0.48 to 0.49, P =0.03 to 0.04), with a trend for non-HDL-C (r=0.44, P =0.06). No significant correlations between fecal SCFA and lipids and lipoproteins were observed after the two canola oil-based diets. Conclusions: In conclusion, these data suggest that the adverse effects of a contemporary Western diet fatty acid profile on circulating lipid and lipoprotein parameters compared to diets higher in unsaturated fat and lower in SFA may be mediated by gut-derived SCFA.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".