Crosstalk between calpain activation and TGF-β1 augments collagen-I synthesis in pulmonary fibrosis
Bibliographic record
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease of unknown cause that typically leads to respiratory failure and death within 3-5years of diagnosis. TGF-β1 is considered a major profibrotic factor. However, TGF-β1 is necessary but not sufficient to the pathogenesis of fibrotic lesion of the lungs. Recent observations have revealed that calpain, a calcium dependent protease, plays a pivotal role in tissue remodeling and fibrosis. However, the mechanism of calpain mediating pulmonary fibrosis is not understood. Calpain conditional knockout (ER-Cre(+/-)capns1(flox/flox)) mice and primary human lung fibroblasts (HLFs) were used here to investigate the relationship between calpain and TGF-β1. Calpain knockout mice were protected from fibrotic effects of bleomycin. Bleomycin induced increases in TGF-β1 via calpain activation in HLFs. Moreover, TGF-β1 also activated calpain. This crosstalk between calpain activation and TGF-β1 triggered the downstream signaling pathway including TGF-β1 Smad2/3 and non-Smad (Akt) pathways, as well as collagen-I synthesis. Taken together, our data indicate that the crosstalk between calpain activation and TGF-β1 augments collagen-I synthesis in HLFs and in pulmonary fibrosis. Intervention in the crosstalk between calpain activation and TGF-β1 is a novel potential strategy to prevent 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".