Toxicological responses in F344 rats following repeated dose sub-acute and sub-chronic dietary exposures to the food processing-induced contaminant 2-monochloro-1,3-propanediol (2-MCPD)
Bibliographic record
Abstract
In addressing a regulatory toxicological data gap to identify the hazard of the process-induced food contaminant 2-monochloro-1,3-diol (2-MCPD), two independent live bioassays were conducted according to the OECD TG-407 and -408. Weanling F344 rats (n = 10-12 rats/group/sex) were fed AIN-93G diets containing 2-MCPD to provide estimated daily doses of (a) 0 (control), 25 or 50 mg/kg BW for 28 days, and (b) 0 (control), 0.5, 2, 10 or 40 mg/kg BW for 90 days. Toxicological apical endpoints including histopathology were evaluated. In both studies, compared to the respective controls, the most critical 2-MCPD response was observed in the hearts; with secondary effects in the spleen and kidneys. Relative heart weights were increased in both sexes, together with non-neoplastic lesions in females (at 50 mg/kg BW), and in both males and females (at 40 mg/kg BW g). For the hearts, no-observed adverse effect levels (NOAELs) of 2-MCPD exposure were determined as 50 and 10 mg/kg BW for males, and 25 and 10 mg/kg BW for females, in the 28- and 90-day studies, respectively. These two regulatory-compliant rodent bioassays provide hazard identification data that strongly determined cardiotoxicity as the primary adverse outcome of 2-MCPD when exposed through the diet.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".