Preclinical safety evaluation of SloIron CFTN-PS 5: A pea-derived ferritin product
Bibliographic record
Abstract
Ferritins are proteins present in plants and animals that are highly effective in storing iron and maintaining iron homeostasis. Iron deficiency anemia is a widespread nutritional disorder, and plant ferritins (phytoferritin) are potential sources of bioavailable iron with slow-release characteristics that prevent oxidative damage. These characteristics are related to receptor mediated endocytosis, the primary absorption mechanism in humans. However, the available toxicological data are insufficient to determine whether the use of phytoferritin as a nutritional supplement to enhance iron consumption in human populations is safe. Therefore, several GLP-compliant toxicology studies have been conducted with phytoferritin prepared from the seed of Psium sativum (trade name: SloIron CFTN-PS5). SloIron CFTN-PS5 was non-mutagenic and non-clastogenic in vitro and did not induce the formation of micronuclei in vivo. SloIron CFTN-PS5 was well-tolerated in a 90-day subchronic toxicity studies conducted in Sprague-Dawley rats at doses up to 1950 mg/kg bw/day. These findings suggest that the oral consumption of SloIron CFTN-PS5 is of low toxicological concern, with a 90-day oral subchronic No Observed Adverse Effect Level (NOAEL) of 1950 mg/kg-day, the highest dose tested.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".