PROTECTION OF GLYCOLYTIC ENZYMES BY METALLOTHIONEINS FROM OXIDATIVE DAMAGE IN THE DIGESTIVE GLAND OF GREEN LIPPED MUSSEL PERNA VIRIDIS
Bibliographic record
Abstract
We evaluated the capacity of metallothioneins (MT) in maintaining anaerobic metabolism in the green lipped mussel Perna viridis during experimentally induced oxidative stress. Mussels were exposed to 50 μg/L of cadmium during seven days, followed by recuperation in the sea during 35 days. Other groups of cadmium pre-exposed organisms and their respective controls were exposed to 200 and 500 mM of ferric iron/100 mM ascorbate to promote the formation of reactive oxygen species (ROS) by the Fenton reaction. Oxidative damage was evidenced by the malondialdehyde (MDA) production through thiobarbituric acid reactive substances (TBARS). The activities of the enzymes, hexokinase (HK), piruvate kinase (PK), and glucose-6-P dehydrogenase (G6PDH) in the digestive gland and the survival during anoxia were evaluated. Exposure of organisms to cadmium led to a significant bioaccumulation of this metal with concomitant high MT levels. Survival during prolonged periods of anoxia was reduced only in the iron/ascorbate exposed organisms, which exhibited an increase in MDA concentration; however, the cadmium-preexposed and control organisms showed similar resistance to anoxia. The iron/ascorbate-exposed organisms showed a decrease in the activities of HK in the cytosol and HK, PK, and G6PDH of the particulate fraction. In comparison with the control group, the cadmium pre-exposed/iron-exposed organisms did not show significant differences in lipid peroxidation, associated with elevated MT levels. In conclusion, the data obtained suggest that of the glycolytic enzymes, HK and PK and G6PDH are targets to the attack by ROS and that the MT can protect molecules against these effects. MT appears to protect against ROS induced injury, allowing maintenance of metabolic control by glycolytic enzymes that are important during anaerobic metabolism.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".