Toxicological Safety Assessment of Heat‐Treated <i>Lactiplantibacillus plantarum</i> OLL2712 as a Food Ingredient
Bibliographic record
Abstract
ABSTRACT Lactiplantibacillus plantarum is a Gram‐positive, bacilli‐shaped bacterium commonly found in fermented foods and the human gastrointestinal tract. Heat‐treatment of L. plantarum OLL2712 prior to consumption has been found to have positive health effects. However, a full toxicological evaluation of heat‐treated L. plantarum OLL2712 cells (heat‐treated OLL2712) has not been conducted. In this regard, heat‐treated OLL2712 was evaluated for use as an ingredient in food and dietary supplements using a panel of toxicological tests including genotoxic and subchronic studies. Heat‐treated OLL2712 did not show any genotoxicity based on an in vitro mammalian chromosomal aberration test and in vivo mouse micronucleus assay up to 8.0 × 109 cells/mL and 6.4 × 1012 cells/kg, respectively. In the acute oral toxicity study, no toxic effects were observed at 5 × 1011 cells/kg body weight. In the 13‐week subchronic toxicity study, rats were administered (via gavage) heat‐treated OLL2712 at concentrations of 0.5 × 1011, 1.5 × 1011, and 5 × 1011 cells/kg body weight. Administration did not significantly impact mortality, body weight, food consumption, ophthalmology, hematology, clinical chemistry, coagulation, urinalysis, and macroscopic or microscopic findings. The no‐observed‐adverse‐effect level of heat‐treated OLL2712 in both sexes was 5 × 1011 cells/kg body weight/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 | 0.000 | 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".