Switching to a fibre-rich and low-fat diet increases colonic folate contents among African Americans
Bibliographic record
Abstract
How dietary patterns impact colonic bacterial biosynthesis of vitamins and utilization by humans is poorly understood. Our aim was to investigate whether a reciprocal dietary switch between rural South Africans (traditionally high fibre, low fat) and African Americans (Western diet of low fibre, high fat) affects colonic folate synthesis. Colonic evacuants were obtained from 20 rural South Africans and 20 African Americans consuming their usual diets at baseline. For 2 weeks thereafter, rural South Africans were provided with a Western diet (protein, 27%; fat, 52%; carbohydrate, 20%; and fibre, 8 g/day) and African Americans were provided with a high fibre, low-fat diet (protein, 16%; fat, 17%; carbohydrate, 63%; and fibre, 43 g/day). Colonic evacuants were again collected. No difference between groups at baseline in the folate content of 3-h evacuants was observed. The high-fibre, low-fat diet consumed by African Americans during the intervention produced a 41% increase in mean total folate content compared with baseline values (p = 0.0037). No change was observed in rural South Africans consuming a Western diet. Mean total folate content of colonic evacuants was higher among African Americans at the end of the dietary switch (3107 ± 1811 μg) compared with rural South Africans (2157 ± 1956 μg) (p = 0.0409). In conclusion, consistent with animal studies, switching from a Western diet to one higher in fibre and lower in fat can be expected to result in greater colonic folate content. Future research should confirm that these observations are not transitory and understand the contribution of transit-time to the findings.
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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".