The Influence of Thermal Stress on Cadmium Uptake in Arctic Charr (Salvelinus alpinus) and Its Effects on Indicators of Fish Health and Condition, with Implications for Climate Change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Given the implications of heat stress on contaminant uptake and the importance of salmonid fish to Northern Indigenous peoples, investigating temperature-driven patterns in trace metal bioavailability is essential for assessing climate change risks. Here, juvenile Arctic charr were exposed for 8 weeks to cadmium (Cd) at a nominal concentration of 3 µg·L−1 (measured Cd: 1.81 ± 0.47 µg·L−1) or controls (measured Cd: 0.03 ± 0.03 µg·L−1) at a low (6 °C) or high (16 °C) temperature. Cd concentrations were measured in dorsal muscle, liver, and kidney tissues, and antioxidant (superoxide dismutase (SOD), catalase (CAT)) and anaerobic (lactate dehydrogenase (LDH)) capacities were assessed in liver tissue. Elevated temperatures significantly increased Cd uptake in analyzed tissues. Log10SOD activity decreased in the 6 °C-Cd treatment, while log10CAT activity declined in high-temperature treatments and log10LDH activity was reduced in Cd-exposed groups. The results highlight the influence of temperature, but also of combined thermal and trace metal stressors on Arctic charr’s antioxidant and anaerobic capacities. Biometric data indicate that temperature exerted a stronger negative influence on growth than Cd, with synergistic effects of temperature and Cd on the hepatosomatic index. Overall, this research highlights the thermal stress impacts on Cd uptake and Arctic charr physiology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it