Association of pulmonary lymphocytes with radiation-induced lung disease in a mouse model
Bibliographic record
Abstract
BACKGROUND: Specific congenic mice derived from inbred C3H/HeJ mice, which present early onset pneumonitis, and C57BL/6J mice manifesting later onset pneumonitis with pulmonary fibrosis, vary in time to respiratory distress from these responses following whole thorax irradiation. METHODS: Herein, to investigate a potential adaptive immunity contribution to lung disease in this model, we used flow cytometry to enumerate the pulmonary lymphocytes of C3H/HeJ, C57BL/6J and three lines of sub/congenic mice, at respiratory distress from 18 Gy whole thorax irradiation and in strain matched controls. RESULTS: CD4 + lymphocyte % of C3H/HeJ mice exceeded that of C57BL/6J mice at both radiation-induced respiratory distress and in unirradiated controls (P < 0.04) and pulmonary CD4+% was reduced, at distress relative to control levels, in fibrosis responding strains. CD8 + lymphocyte % was reduced in distressed mice, compared to controls, for 8 of 10 comparisons by strain and sex including those of both pneumonitis and pneumonitis with fibrosis responses. γδ + lymphocyte % was largely unchanged at distress from control levels. Time to radiation-induced respiratory distress, and strain fibrosis score, were each negatively correlated with pulmonary CD4+%, and with the CD4/CD8 ratio, measured in distressed mice (r<-0.76; P < 0.01) or in unirradiated controls (r<-0.75; P < 0.02). Inclusion of the lymphocyte profile of unirradiated mice of a separate C3H/HeJ and C57BL6/J-derived congenic line, named Radpf1 and known to be spared radiation-induced lung disease, yielded a pulmonary CD4+% correlation with time to respiratory distress of (r = 0.16, P = 0.76) and of (r=-0.83; P = 0.04) for strain fibrosis score. CONCLUSIONS: Pulmonary lymphocyte profiling revealed strain-dependent %CD4 + lymphocytes, measured in mice manifesting radiation-induced respiratory distress or in untreated controls, to correlate with fibrotic lung disease in this mouse model.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".