Effect of winter torpor upon antioxidative defence in Helix pomatia
Bibliographic record
Abstract
Arousal of land snails from torpor is inseparably connected with an increase in oxygen consumption leading to oxidative stress. Therefore, activity of antioxidant defence system (antioxidant enzymes and reduced glutathione) and degree of oxidative damage (concentration of malondialdehyde as an index of lipid peroxidation) in the snail Helix pomatia L., 1758 were tested to check whether torpid snails are able to activate their antioxidative defence against oxidative damage prior to arousal from winter torpor. Snails, which were collected from their natural habitats, were tested at the beginning, in the middle part, and at the end of winter torpor. Active snails collected in autumn and spring were taken as control groups. Snails were immediately killed and their foot, hepatopancreas, and kidney were used for the biochemical assays. Winter torpor induced significant changes in activities of the crucial antioxidant substances. The lowest activities were observed at the beginning of torpor, whereas activity of some of these enzymes was significantly enhanced prior to spring arousal. Reduced glutathione concentration did not show time-dependent changes during winter torpor. MDA (1,3-propanedial) level was elevated in the kidney and foot but was unchanged in the hepatopancreas. In conclusion, the snail H. pomatia is able to maintain REDOX balance necessary to prevent oxidative injury during arousal.
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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 | 0.000 | 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) | 0.001 | 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".