KGF AND HGF ARE GROWTH FACTORS FOR MESOTHELIAL CELLS IN PLEURAL LAVAGE FLUID AFTER INTRATRACHEAL ASBESTOS
Bibliographic record
Abstract
Mesothelial cells proliferate soon after asbestos deposition in the lung. The present study investigates whether the known mesothelial cell mitogens keratinocyte growth factor (KGF) and hepatocyte growth factor (HGF) are present in the lung and specifically in the pleural cavity during the phase of mesothelial cell growth. Rats received 1 mg crocidolite asbestos in 0.5 mL water by intratracheal instillation and were killed up to 2 weeks later; tritiated thymidine was injected 1 hour before death. Bronchoalveolar lavage (BAL) and pleural lavage (PLL) were performed. Increased inflammatory cell numbers and protein levels were found in BAL but also in PLL at 1 day after asbestos deposition. In lung sections, labeling of mesothelial cells increased > 10-fold at day 1 and stayed above normal for 1 week. During this period, the levels of HGF and KGF were significantly raised in both BAL and PLL fluids. The PLL fluid had mitogenic activity for mesothelial cells in culture and this effect was significantly reduced by antibodies to HGF and KGF. The results indicate that fiber deposition in the airspaces rapidly induces lung injury and inflammation, in which growth factors for mesothelial cells KGF and HGF are secreted. These factors reach the pleural cavity at the time when mesothelial cell proliferation occurs. It is possible that the activated, dividing mesothelial population may then be more susceptible to DNA damage by any translocated fibers.
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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 | 0.000 |
| 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".