Discoidin Domain Receptor 1–deficient Mice are Resistant to Bleomycin-induced Lung Fibrosis
Bibliographic record
Abstract
RATIONALE: Discoidin domain receptor 1 (DDR1) is a tyrosine kinase activated by native collagens. Based on previous findings showing increased DDR1 expression in bronchoalveolar lavage cells from patients with idiopathic pulmonary fibrosis, we hypothesized that DDR1 mediates disease progression after lung injury. OBJECTIVES: To investigate the inflammatory and fibrotic responses of DDR1 knockout and wild-type mice to bleomycin-induced lung injury. METHODS: Age- and sex-matched DDR1 knockout and wild-type C57BL/6 mice received a single intratracheal instillation of 2 U/kg bleomycin or saline, respectively. After 2 wk, lung inflammation and fibrosis were assessed using immunohistochemistry, real-time polymerase chain reaction, TUNEL assay, ELISA, fluorescence-activated cell sorting, and Western blot analysis. MEASUREMENTS AND MAIN RESULTS: Compared with wild-type animals, DDR1-null mice were largely protected against bleomycin-induced injury. Bleomycin-induced increases in collagen protein levels and tenascin-C mRNA levels were abrogated in knockout animals. Furthermore, myofibroblast expansion and apoptosis were much lower in these animals compared with their wild-type counterparts. Absence of inflammation in knockout mice was confirmed by lavage cell count and a cytokine ELISA. Western blot analysis of injured lung tissue revealed that DDR1-null mice failed to respond to the bleomycin insult with p38 MAPK activation, which was readily observed in wild-type mice. CONCLUSIONS: DDR1 expression is a prerequisite for the development of lung inflammation and fibrosis. Blockade of DDR1 may therefore be a novel therapeutic intervention in patients with pulmonary fibrosis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".