Adenovirus-mediated gene transfer of hIGF-IB in mouse lungs induced prolonged inflammation but no fibroproliferation
Bibliographic record
Abstract
Pulmonary fibrosis (PF), the end stage of a variety of fibroproliferative lung diseases, is characterized by excessive lung mesenchymal cell activation and extracellular matrix deposition. Most PF is induced after repetitive or chronic lung inflammation; however, a significant portion of PF occurs without apparent inflammation. The mechanisms of fibroproliferation are poorly understood. Studies have shown that cytokines regulating inflammation and tissue repair processes play essential roles in the development of PF. Insulin-like growth factor I (IGF-I) has been shown to stimulate lung mesenchymal cell proliferation and extracellular matrix synthesis in vitro and is significantly elevated in patients with PF. In this study, we investigated whether human IGF-IB (hIGF-IB) expression in the lungs induces PF in a C57BL/6 mouse model. Mice were subjected to adenoviral gene transfer, and the effects of hIGF-IB expression on the lungs were examined 3, 7, 14, 21, and 42 days after gene delivery. hIGF-IB expression induced significant and prolonged inflammatory cell infiltration into the lungs, with an early neutrophil infiltration followed by a late macrophage infiltration. No significant fibroblast or matrix accumulation could be detected in the lungs of these mice. No significant collagen accumulation could be detected in vivo, despite in vitro evidence that hIGF-IB induces collagen mRNA expression in fibroblasts. Therefore, IGF-IB alone is not sufficient to induce fibrosis, and it is possible that a coactivator is required to induce significant fibroproliferation in vivo.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".