DIFFERENCES IN OXIDATIVE STRESS BETWEEN YOUNG CANADA GEESE AND MALLARDS EXPOSED TO LEAD-CONTAMINATED SEDIMENT
Bibliographic record
Abstract
Lead (Pb) exposure results in an increase in tissue lipid peroxides and variation in glutathione (GSH) concentrations, which can be related to peroxidative damage of cell membranes in Pb-poisoned animals. Species and individual variation in sensitivity to Pb poisoning among animals may be due to differential resistance to oxidative stress. The effects of oxidative stress caused by Pb exposure (1.7, 414, and 828 microg/g of diet) were compared for the first 6 wk in growing young of two species of waterfowl, Canada geese (Branta canadensis) and mallards (Anas platyrhynchos), with the first species being possibly more sensitive to Pb poisoning based on previous field and laboratory observations. Blood and liver Pb concentrations increased more in mallards than in geese. This may be explained on the basis of body weight, being 3.2 times higher in geese, and by hepatic metabolism, where GSH S-transferase (GST) activity is 2.9-fold higher in geese and presumably has a role in the binding of Pb to GSH and subsequent biliary excretion. In contrast, mallards showed higher hepatic levels of GSH and activities of CSH peroxidase (GPX) and GSH reductase (GR). Although both species showed a rise in hepatic GSH concentration with Pb exposure, the relationship between increased lipid peroxidation and Pb exposure was only significant in geese. Within treatment groups, hepatic GSH concentrations were inversely related to liver Pb concentrations in both species, which may correspond to the role of GSH in Pb excretion. Hepatic GSH was also inversely related to hepatic lipid peroxidation, but only in mallards and in agreement with the species differences observed in GPX and GR activities. The lower resistance to lipid peroxidation of Canada geese may explain why geese can die in the field from Pb poisoning after ingesting fewer shot than found in the gizzards of mallards and with lower liver Pb concentrations than in mallards.
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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 | 0.001 | 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".