Oral‐iron‐associated depletion of the fecal antioxidant capacity state is improved by concurrent dietary antioxidants
Bibliographic record
Abstract
Background: Iron's oxidative nature and ease to participate in redox reactions confer it the ability to produce reactive oxygen species (ROS) that may alter the normal antioxidant capacity state of feces, leading to oxidative damage in the colon. Objectives: To evaluate dietary antioxidants’ effect on the fecal antioxidant capacity state depleted by oral Fe supplementation. Methods: 12 adult males received 3 7‐d treatments of: A=120 mg Fe (FeSO 4 ), B=120 mg Fe + 30 mg carotenoids (CT) + 36.8 mg tocopherols and tocotrienols (TT), and C=120 mg Fe + 60 mg CT + 73.6 mg TT. Stool samples from baseline, active supplementation and washout phases were assayed for their capacity to blunt the production of indicator hydroxylated salicylic acid derivatives resulting from in vitro free‐radical attack by Fe 3+ exposure. Results: A significant reduction on the production of hydroxylated compounds with respect to regimen A was seen for treatments B and C. Baseline antioxidant capacity state was virtually restored with dietary CT + TT antioxidants. Conclusions: Dietary antioxidants may improve the depleted fecal antioxidant capacity state of persons taking Fe supplementation. Sponsored in part by the Malaysian Palm Oil Board and INF‐EMF.
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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) | 0.002 | 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".