Enhanced production of IGF-I in the lungs of fibroproliferative ARDS patients
Bibliographic record
Abstract
Insulin-Like Growth Factor I (IGF-I) has been identified in the lungs of individuals with fibrotic lung diseases. In a previous retrospective study, we showed enhanced IGF-I immunoreactivity in individuals with fibroproliferative acute respiratory distress syndrome (FP-ARDS), but we were unable to determine if this correlation was causative. This study was undertaken to prospectively investigate whether IGF-I expression correlated with the fibroproliferative process and whether IGF-I was induced and made in the lungs. We measured IGF-I and procollagen III peptide (PCP-III) in the epithelial lining fluid (ELF) from controls, early ALI/ARDS patients and FP-ARDS patients. We also measured IGF-I mRNA and immunoreactivity from controls and FP-ARDS patient lung biopsies. We determined the level of lung permeability by measuring albumin and urea levels in ELF and serum. Our data show that IGF-I is significantly increased in the ELF in FP-ARDS patients. A significant correlation between IGF-I and PCP-III in the ELF of FP-ARDS patients is found. IGF-I mRNA is elevated in the FP-ARDS lung biopsies. Our data suggest that IGF-I found in the lungs of FP-ARDS patients results from both increased lung permeability and local production of IGF-I. The role of IGF-I in the fibroproliferative process in the lungs has recently been confirmed in an animal model of lung fibroproliferation. This study importantly suggest that IGF-I protein is made in the lungs of FP-ARDS patients and correlates with increased levels of ELF PCP-III, implicating a role for IGF-I in the fibroproliferative process in humans.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".