1H NMR metabolomics of earthworm responses to sub-lethal PAH exposure
Bibliographic record
Abstract
Environmental context. Polycyclic aromatic hydrocarbons (PAHs) are common contaminants, but there has been limited research investigating the responses of earthworm exposure to sub-lethal PAH concentrations. In this study, 1H nuclear magnetic resonance (NMR) metabolomics was used to characterise the metabolic responses of Eisenia fetida earthworm exposure in contact tests to 10, 50 and 100 µg cm–2 naphthalene, phenanthrene and pyrene. The findings of this study highlight the potential of metabolomics as a tool for monitoring earthworm responses to sub-lethal concentrations of problematic environmental contaminants. Abstract. Metabolic responses of earthworm exposure to the polycyclic aromatic hydrocarbons (PAHs) naphthalene, phenanthrene and pyrene in contact tests were measured using 1H nuclear magnetic resonance (NMR). Novel metabolites were not detected but principal component analysis (PCA) showed that earthworms exposed to 10, 50 and 100 µg cm–2 naphthalene, phenanthrene and pyrene differed from unexposed (control) earthworms. Partial least-squares-discriminant analysis (PLS-DA) showed that earthworms had statistically significant responses to PAH exposure, except for 10 µg cm–2 naphthalene and 50 µg cm–2 pyrene. Leucine, valine, alanine, lysine and maltose were identified as potential response indicators of PAH exposure, but whether the concentration of these metabolites increased or decreased was PAH- and concentration-dependent. These initial findings reveal the potential of metabolomics for monitoring earthworm responses to sub-lethal PAH exposure and highlight the role of metabolomics as a future tool in ecotoxicology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".