TNF-α increases tracheal epithelial asbestos and fiberglass binding via a NF-κB-dependent mechanism
Bibliographic record
Abstract
Tumor necrosis factor (TNF)-alpha is released from alveolar macrophages after phagocytosis of mineral fibers. To determine whether TNF-alpha affects the binding of fibers to epithelial cells, we exposed rat tracheal explants to TNF-alpha or to culture medium alone, followed by a suspension of amosite asbestos or fiberglass (MMVF10). Loosely adherent fibers were removed from the surface with a standardized washing technique, and the number of bound fibers was determined by scanning electron microscopy. Increasing doses of TNF-alpha produced increases in fiber binding. This effect was abolished by an anti-TNF-alpha antibody, the proteasome inhibitor MG-132, and the nuclear factor (NF)-kappaB inhibitor pyrrolidine dithiocarbamate. Gel shift and Western blot analyses confirmed that TNF-alpha activated NF-kappaB and depleted IkappaB in this system and that these effects were prevented by MG-132 and pyrrolidine dithiocarbamate. These observations indicate that TNF-alpha increases epithelial fiber binding by a NF-kappaB-dependent mechanism. They also suggest that mineral particles may cause pathological lesions via an autocrine-like process in which the response evoked by particles, for example, macrophage TNF-alpha production, acts to enhance subsequent interactions of particles with tissue.
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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) | 0.000 | 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 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".