Basal levels of glutathione peroxidase correlate with onset of radiation induced lung disease in inbred mouse strains
Bibliographic record
Abstract
Biomarkers predicting for the radiation-induced lung responses of pneumonitis or fibrosis are largely unknown. Herein we investigated whether markers of oxidative stress and intracellular antioxidants, measured within days of radiation exposure, are correlated with the lung tissue injury response occurring weeks later. Mice of the eight inbred strains differing in their susceptibility to radiation-induced pulmonary fibrosis, and in the duration of asymptomatic survival, received 18 Gy whole thorax irradiation and were killed 6 h, 24 h, or 7 days later. Control mice were not irradiated. Lung levels of antioxidants superoxide dismutase, catalase, glutathione peroxidase (GPx), and glutathione, and of oxidative damage [reactive oxygen species (ROS) and 8-hydroxydeoxyguanosine (8-OHdG)], were biochemically determined. GPx was additionally measured through gene expression and immunohistochemical assessment of lung tissue, and activity in serum. ROS and 8-OHdG were increased postirradiation and exhibited significant strain and time-dependent variability, but were not strongly predictive of radiation-induced lung diseases. Antioxidant measures were not dramatically changed postirradiation and varied significantly among the strains. Basal GPx activity (r = 0.73, P = 0.04) in the lung and the pulmonary expression of GPx2 (r = 0.94, P = 0.0003) correlated with postirradiation asymptomatic survival, whereas serum GPx activity was inversely correlated (r = -0.80, P = 0.01) with fibrosis development. In conclusion, pulmonary oxidative stress and antioxidant markers were more affected by inbred strain than radiation over 7 days posttreatment. Lung GPx activity, and GPx2 expression, predicted for survival from lethal pneumonitis, and serum GPx for fibrosis, in this panel of mice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".