Resistant Potato Starch Supplementation Increases Serum Antioxidant Levels in a Randomized Trial
Bibliographic record
Abstract
Background/Objectives: The prebiotic effect of resistant potato starch (RPS) has been demonstrated, but the antioxidant properties associated with this ingredient have not been explored. Methods: We performed post hoc analysis of serum metabolomic data from a clinical trial evaluating 3.5 g RPS per day consumption (n = 24) versus a placebo (n = 24) for 4 weeks in a randomized clinical trial (NCT05242913). Results: Levels of the exogenous antioxidants all-trans retinol and α-tocopherol increased in the RPS-consuming group. Among endogenous antioxidants, the concentration of coenzyme Q10 (CoQ10) increased in both treatment groups, while uric acid was unaffected. Hippuric acid, a marker of polyphenol metabolism, was unaffected by treatment, as was the abundance of the tryptophan metabolites kynurenine and 3-hydroxyanthranillic acid. However, levels of 3-hydroxykynurenine were decreased in both treatment groups. Levels of the advanced glycation end products NƐ-(1-carboxymethyl)-L-lysine and NƐ-(1-carboxyethyl)-L-lysine, markers of chronically elevated oxidative stress, were unaffected by treatment. Notably, increases in serum all-trans retinol were correlated with increases in Akkermansia. Conclusions: RPS enhances the absorption of antioxidants all-trans retinol and α-tocopherol from the diet and also influences CoQ10 levels and tryptophan metabolism. Future studies assessing the physiological consequences of enhanced antioxidant absorption in people consuming RPS over a longer duration are warranted.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".