Human Cathelicidin Peptide LL-37 Modulates the Effects of IFN-γ on APCs
Bibliographic record
Abstract
The human cathelicidin peptide LL-37 is a multifunctional immunomodulatory and antimicrobial host defense peptide of the human immune system. LL-37 modulates host cell responses to microbial stimuli and also affects the action of other endogenous immune mediators such as IL-1beta and GM-CSF. This activity of LL-37 is known to be complex, with the functional outcomes being dependent on the cell type and activation status, timing of exposure, and other immune mediators present. It was demonstrated in this study that LL-37 inhibited cellular responses to IFN-gamma, the key cytokine of Th1-polarized immunity. The inhibitory activity of LL-37 on IFN-gamma responses was characterized in monocytes, macrophages, dendritic cells, and B lymphocytes, showing suppression of cell activation, proliferation, and production of proinflammatory and Th1-polarizing cytokines, and Abs. It was further shown that in monocytes the suppressive effects of LL-37 were mediated through inhibition of STAT1-independent signaling events, involving both the p65 subunit of NF-kappaB and p38 MAPK. This study suggests that LL-37 modulates IFN-gamma responses during both the innate and adaptive phases of immune responses, indicating a new immunomodulatory role for this endogenous peptide. These effects on IFN-gamma activity should be taken into consideration in the development of cathelicidin-based peptides for therapeutic applications as immunomodulatory or microbicidal agents.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".