Apoptosis of Airway Epithelial Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
LL-37 is a human cationic host defense peptide that is present in the specific granules of neutrophils, produced by epithelial cells from a variety of tissues, and is upregulated during inflammation, infection, and injury. It has been proposed to have a variety of antimicrobial functions, including both direct antimicrobial activity and immunomodulatory functions. Using the TUNEL assay it was demonstrated that LL-37 induced apoptosis in vitro in the A549 human lung and 16 HBE4o- human airway epithelial cell lines, and in vivo in the murine airway. Peptide-induced apoptosis in vitro involved the activation of caspase pathways and was substantially inhibited by an inhibitor of caspase 3. Apoptosis was also inhibited by human serum, but not fetal bovine serum. Similarly, human but not fetal bovine serum inhibited the cellular internalization of LL-37 and the production of IL-8 in response to LL-37 treatment of epithelial cells. The protective effects of human serum were also observed with high-density lipoproteins but not by the core peptide apolipoprotein A1, providing one possible mechanism of human serum inhibition of apoptosis. We propose that LL-37-induced apoptosis of epithelial cells at low serum tissue sites may have a protective role against bacterial infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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