Distinct Loci Influence Radiation-Induced Alveolitis from Fibrosing Alveolitis in the Mouse
Bibliographic record
Abstract
Thoracic radiotherapy may produce the morbidity-associated lung responses of alveolitis or fibrosing alveolitis in treated cancer patients. The genetic factors that influence a patient's likelihood of developing alveolitis and the relationship of this inflammatory response to the development of fibrosis are largely unknown. Herein we use genetic mapping to identify radiation-induced lung response susceptibility loci in reciprocal backcross mice bred from C3H/HeJ (alveolitis response) and C57BL/6J (fibrosing alveolitis/fibrosis response) strains. Mice were treated with 18-Gy whole thorax irradiation and their survival, lung histopathology, and bronchoalveolar lavage cell types were recorded. A genome-wide scan was completed using 139 markers. The C3H/HeJ alveolitis response included mast cell infiltration and increased neutrophil numbers in the lavage compared with the level in the C57BL/6J strain, which developed fibrosis. In backcross mice, posttreatment survival was dictated by the development of an alveolitis response with increased mast cell, bronchoalveolar lavage total cell, and neutrophil numbers. Fibrosis was measured only in a subset of mice developing alveolitis and, in these mice, was associated with neutrophil count. Genotyping revealed coinheritance of C3H alleles (chromosomes 2, 4, 19, and X) and C57BL/6J alleles (chromosomes 1, 7, 9, and 17) to result in higher fibrosis scores in backcross mice. Mice that inherited C57BL/6J alleles at the putative alveolitis susceptibility loci were spared this response and lived to the end of the experiment. In this animal model, independent loci control the development of alveolitis from fibrosis, whereas fibrosing alveolitis occurs with the coinheritance of these factors.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".