Application in healthy subjects of an iron‐induced fecal oxidative response test, using an <i>in vitro</i> reactive oxygen species (ROS) generation system
Bibliographic record
Abstract
The up to 60% of non‐absorbed dietary iron can participate in the generation of ROS in the colon. Measuring ROS production in fecal matter can be difficult and tedious. Our purpose was to measure the effect of supplemental iron on ROS production in human feces. Four healthy male subjects received 120 mg of iron as ferrous sulfate during 2 periods of 7 consecutive days; in the second period, 5 ml of refined palm oil were added to the iron dose. Stool samples were collected at baseline, during supplementation days, and 11 days later. They were analyzed using a calibrated HPLC method proposed by Owen, et al, 2000 , validated by a hypoxanthine/xanthine oxidase model. ROS production (expressed as mg of hydroxylated products resulting from the free‐radical attack on salicylic acid) showed a mean increase from 0.26 mg at baseline to 0.33 mg during supplementation and decreased to 0.27 mg after iron supplementation alone. With 5 ml of palm oil added to the iron dose, the response increased on average, from 0.27 mg at baseline to 0.35 mg during supplementation and decreased to 0.27 mg after supplementation. We concluded that the in vitro assay can be used in a human metabolic study context. Funded by MPOB
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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) | 0.000 | 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 | 0.001 | 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".