Smad3 Signaling Involved in Pulmonary Fibrosis and Emphysema
Bibliographic record
Abstract
The incidence of finding evidence of both emphysema and pulmonary fibrosis in the same patient has received increased attention. Several investigators have found on biopsy the presence of emphysema of the upper zones and diffuse parenchymal disease with fibrosis of the lower zones of the lung, especially associated with current or previous heavy smokers. Believed previously to be two different disease mechanisms, there are now data to implicate some common pathways of cell and molecular activation leading to the different morphologic and physiologic outcomes. According to a current view, emphysema may originate from a protease/antiprotease imbalance, whereas a role for antiproteases has been proposed in the modulation of fibrosis. Overexpression of transforming growth factor beta (TGF-beta) in experimental rodent models leads to progressive pulmonary fibrosis, accompanied with marked up-regulation of protease inhibitors, such as tissue inhibitor of metalloproteinases (TIMP) and plasminogen activator inhibitor-1 (PAI-1) genes, along with excessive matrix accumulation. It may be that a "matrix degrading" pulmonary microenvironment, one in which metalloproteinase activities prevail, favors the development of emphysema, whereas a "matrix nondegrading" microenvironment, with enhanced presence of TIMPs, would lead to matrix accumulation and fibrosis. Surprisingly, although Smad3 null mice, deficient in TGF-beta signal transmission, are resistant to bleomycin- and TGF-beta-mediated fibrosis, they develop spontaneous age-related airspace enlargement, consistent with emphysema, with a lack of ability to repair tissue damage appropriately. A common element is tissue damage and repair, with TGF-beta and the Smad signaling pathway playing prominent molecular roles. Both changes can be followed in experimental models with noninvasive imaging and physiologic measurements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".