Optimizing and Validating a Caenorhabditis Elegans Model as a Tool for Assessing Contaminant-Induced Oxidative Stress and Oxylipin Signalling
Bibliographic record
Abstract
Oxidative stress (OS) is a physiological mechanism that is induced by pollutants and can lead to pathophysiological conditions.Pollutants may be activated by phase I metabolism enzymes, becoming more reactive, inducing additional OS.Paraquatinduced OS was measured in Caenorhabditis elegans that were modified to express CYP2E1-a human cytochrome P450 enzyme that bioactivates xenobiotics-in either their endoplasmic reticulum (erCYP2E1) or mitochondria (mtCYP2E1).Paraquat induced worm death, but deaths were reduced when worms were incubated in antioxidants.Reactive oxygen species significantly increased in mtCYP2E1 and wild-type worms, and significantly decreased in erCYP2E1 worms.These assays will validate a final OS testing method: monitoring global oxylipin production by tandem mass spectrometry.Oxylipins are potent signalling molecules in stress responses, and optimization efforts increased their detection by 66%.Further oxylipin testing will provide a mechanistic overview of the OS response which could explain differences in CYP2E1 isozyme activation.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".