Correlated responses for DNA damage, phagocytosis activity and lysosomal function revealed in a comparison between field and laboratory studies: Fathead minnow exposed to tritium
Bibliographic record
Abstract
Tritium entering the aquatic environment can confer a whole body internal radiological dose to aquatic organisms. Multiple stressors inherent in natural environments, however, confound estimates for observable radiation specific responses. To disentangle differences between field and laboratory outcomes to tritium exposures, a multivariate analysis comparing biomarkers for radiation exposure at the cellular level with changes in biological processes within tissues is described for fathead minnows (Pimephales promelas). Over tritium activity concentrations up to 180,000 Bq/L, DNA damage in the field were lower than DNA damage in the laboratory. This finding does not support an increase in morbidity of biota in field exposures. Energy deposited by tritium decay produces oxidised free radicals, yet the biological responses in brain, muscle and liver to oxidative stress differed between the studies and were not related to the tritium. For both studies, DNA damage in gonad and blood increased with increased tritium as did the fluorescence associated with lysosomal function in spleen. The studies differed in spleen phagocytosis activity were, in the laboratory but not the field, activity increased with increased tritium-and was correlatd with lysosomal function (Spearman coefficient of 0.98 (p = 0.001). The higher phagocytosis activity in the field reflects exposures to unmeasured factors that were not present within the laboratory. In the laboratory, DNA damage and lysosomal function were correlated: Spearman coefficients of 0.9 (Comet, p = 0.03) and 0.9 (micronuclei, p = 0.08). In the field, DNA damage by the Comet assay, but not by micronucleus frequency, correlated with lysosomal function: Spearman coefficients of 0.91 (Comet, p < 0.001) and 0.47 (micronuclei, p = 0.21). These observations highlight a need for better physiologic understanding of linkages between radiation-induced damage within cells and responses at higher levels of biological organization.
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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 | 0.001 |
| 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".