Differences in the Fibrogenic Response after Transfer of Active Transforming Growth Factor- <b>β</b> 1 Gene to Lungs of “Fibrosis-prone” and “Fibrosis-resistant” Mouse Strains
Why this work is in the frame
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Bibliographic record
Abstract
Pulmonary fibrosis is characterized by excessive deposition of extracellular matrix in the interstitium, resulting in impaired lung function and respiratory failure. Investigation of the differences in individual susceptibility to the development of fibrosis may help to detect patients that are at risk to fibrosis when exposed to fibrogenic stimuli. In this study we used adenoviral gene transfer to transiently expose a fibrosis-prone (C57BL/6) and a fibrosis-resistant (Balb/c) mouse strain to high levels of active transforming growth factor (TGF)-beta1, a key profibrotic cytokine. Balb/c mice developed significantly less fibrosis compared with C57BL/6 mice in response to active TGF-beta1 despite higher levels of the transgene protein in the lung. This was not due to a general unresponsiveness of cells to TGF-beta1, because primary fibroblasts of both strains increased collagen synthesis upon stimulation with TGF-beta1 in vitro to the same degree. However, TGF-beta1 induced a strong upregulation of tissue inhibitor of metalloprotease-1 gene in pulmonary fibroblasts as well as in lungs of C57BL/6 mice, in contrast to a weak induction in Balb/c mice. These findings suggest that the differences in susceptibility to pulmonary fibrosis are downstream from TGF-beta1 and that fibrosis-prone individuals may have an altered collagen metabolism in the lungs that is balanced toward a "nondegrading" environment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it