A chromosome 2 locus influences the onset of radiation-induced lung disease in mice
Bibliographic record
Abstract
Purpose The onset of distress from radiation-induced lung disease differs among patients and among inbred strains of mice exposed to thoracic cavity radiotherapy. For the latter specifically, C3H/HeJ mice present distress due to pneumonitis at approximately 10–14 weeks following thoracic irradiation, while C57BL/6J mice show distress due to pneumonitis with pulmonary fibrosis at 22–30 weeks. Mapping studies completed in offspring derived from these inbred strains revealed a chromosome 2 locus to be linked to onset of distress in irradiated mice. Herein, we bred and phenotyped a panel of chromosome 2 subcongenic mice with 64 Mb of C3H/HeJ alleles on a C57BL/6J background, to investigate the contribution of the chromosome 2 locus to radiation-induced lung disease.Materials and methods Mice received 18 Gy to the thoracic cavity and were monitored for the onset of distress. Lung disease was assessed histologically and with bronchoalveolar lavage.Results Following whole thorax irradiation, subcongenic mice with C3H/HeJ alleles from 95 to 123 Mb showed significantly earlier onset of respiratory distress (16–22 weeks; p < .02) from pneumonitis and fibrosis compared to C57BL/6J mice. These subcongenic mice did not differ from C57BL/6J mice in pneumonitis (p = .23), mast cell counts (p = .96), or lavage neutrophils (p = .69), evident at distress. In silico analyses reveal 246 protein coding genes mapped within the reduced region, 52 of which differ in pulmonary expression of C3H/HeJ, compared to C57BL/6J, mice after whole thorax irradiation.Conclusions We have identified a 28 Mb region of chromosome 2 to influence the onset of radiation-induced lung disease in mice.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".