Low hepatic ethoxyresorufin-<i>o</i>-deethylase activity correlates with high organochlorine concentrations in Atlantic tomcod from the Canadian east coast
Bibliographic record
Abstract
A suppression of hepatic ethoxyresorufin-O-deethylase (EROD) activity was reported recently in large-sized Atlantic tomcod (Microgadus tomcod) from the St. Lawrence Estuary (SLE; QC, Canada), possibly related to chronic exposure to persistent contaminants and/or to emaciation. In the present study, hepatic concentrations of organochlorine contaminants and biological responses were measured in female tomcods from three estuaries located on the Canadian east coast: The SLE, the Miramichi (ME), and the Richibucto (RE) Rivers Estuaries (NB, Canada). Tomcods from the SLE had higher hepatic concentrations of organochlorine contaminants than tomcods from the ME and RE. For example, concentrations of polychlorinated biphenyls (PCBs, lipid wt) were 2.5 to 4 times higher, and concentrations of mirex and chlordanes were 6 times higher, in tomcods from the SLE than in tomcods from the other sites. Concentrations of polycyclic aromatic hydrocarbons (PAHs) metabolites in the bile did not differ among sites. The pattern of biological responses differed markedly between the SLE and the two other sites. Tomcods from the SLE had 1.5 times higher concentrations of DNA adducts and 2 times higher rates of hepatocellular proliferation, but 20 times lower hepatic EROD activity, than tomcods from the ME and RE. Lipid content was not correlated with EROD activity, indicating that low hepatic lipid content alone does not cause suppression of EROD activity in Atlantic tomcod. In contrast, for the three sites combined, EROD activity decreased as concentrations of PCBs increased. Within sites, hepatic PCB concentrations increased as lipid content decreased. This study supports the hypothesis that low EROD activity in SLE tomcods is related to chronic exposure to organochlorine contaminants.
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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 | 0.001 | 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".