The Human Cathelicidin, LL-37, Induces Granzyme-mediated Apoptosis in Regulatory T Cells
Bibliographic record
Abstract
LL-37 is a human cationic host defense peptide (antimicrobial peptide) belonging to the cathelicidin family of peptides. In this study, LL-37 was shown to kill stimulated and nonstimulated CD4(+)CD25(+)FoxP3(+) T cells (regulatory T cells; Tregs) through apoptosis, while having no cytotoxic effect on CD4(+)CD25(-) T cells at the same LL-37 concentrations. Of interest, Tregs were much more sensitive to LL-37 than many other cells, dying at 10-fold lower concentrations than other cell types tested. LL-37 exposure resulted in DNA fragmentation, chromatin condensation, and apoptotic body formation, all indicative of an apoptotic form of cell death. The importance of granzyme family members in the apoptosis of Tregs after LL-37 treatment was analyzed by using C57Bl/6 lymphocytes obtained from mice that were homozygous for null mutations in the granzyme B gene, and both the granzyme A and B genes. Granzyme A and granzyme B were both shown to play a role in LL-37-induced apoptosis of Tregs. Further analysis showed that apoptosis occurred primarily through caspase-dependent apoptosis at high LL-37 concentrations. However, grA-dependent/caspase-independent cell death was also observed. This suggests that LL-37 induces apoptosis in Tregs through multiple different mechanisms, initiated by the LL-37-induced leakage of granzymes from cytolytic granules. Our results imply that LL-37 administered at the site of a tumor could influence the adaptive antitumor immune response by killing Tregs and thus inhibiting their suppressor activity.
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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 | 0.001 | 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 | 0.001 |
| 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".