Cardiac oxylipin perturbances in response to 2-monochloropropane-1,3-diol exposure are ameliorated by dietary adequacy of the essential n-3 fatty acid, α-linolenic acid
Bibliographic record
Abstract
2-Monochloropropane-1,3-diol (2-MCPD) is a food contaminant with demonstrated cardiotoxicity in rats. This adverse effect was previously associated with lower anti-inflammatory docosahexaenoic acid (DHA)-derived cardiac oxylipins in F344 rats. This previous study utilized corn oil as the dietary lipid; we therefore investigated whether deficient (0.07 g/100 g diet) or adequate (0.5 g/100 g diet) dietary α-linolenic acid (ALA), the essential n-3 polyunsaturated fatty acid (PUFA), alters the oxylipin response in heart, liver, kidney, and serum of Sprague-Dawley rats exposed to 50 mg 2-MCPD/kg BW/day. ALA increased n-3 oxylipins in all tissues, reflecting greater n-3 PUFA substrate availability. In the heart, 2-MCPD increased cyclooxygenase-derived arachidonic acid oxylipins, conducive to inflammation. Adequate dietary ALA revealed 2-MCPD-induced reductions of anti-inflammatory cardiac DHA-derived oxylipins; these were not apparent in the ALA-deficient diet as these n-3 PUFA oxylipins were already reduced. Conversely, 2-MCPD increased cardiac 13-hydroxy-octadecatrienoic acid-γ (13-HOTrE-γ) levels with deficient, but not adequate, ALA diets. Multi-tissue analysis identified 13-HOTrE-γ as a marker of 2-MCPD exposure. Our study contributes to the weight-of-evidence of 2-MCPD toxicity, confirms the functional and indicative roles of oxylipins in the heart, and demonstrates that live bioassays determining chemical health hazards should use adequate n-3 PUFA diets.
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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 | 0.000 | 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 | 0.000 |
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".