Host Defense Peptide LL-37, in Synergy with Inflammatory Mediator IL-1β, Augments Immune Responses by Multiple Pathways
Bibliographic record
Abstract
The human cathelicidin LL-37 is a cationic host defense peptide and serves as an important component of innate immunity. It has been demonstrated to be a multifunctional modulator of innate immune responses, although the mechanism(s) underlying this have not been well characterized. In this study, it was demonstrated that LL-37 synergistically enhanced the IL-1beta-induced production of cytokines (IL-6, IL-10) and chemokines such as macrophage chemoattractant proteins (MCP-1, MCP-3) in human PBMC, indicating a role in enhancing certain innate immune responses. Similarly, LL-37 synergistically enhanced chemokine production in the presence of GM-CSF, but IFN-gamma, IL-4, or IL-12 addition led to antagonism, indicating that the role of LL-37 in reinforcing specific immune responses is selective and restricted to particular endogenous immune mediators. The inhibition of G protein-coupled receptors and PI3K substantially suppressed the ability of IL-1beta and LL-37 to synergistically enhance the production of chemokine MCP-3. Consistent with this, the combination of IL-1beta and LL-37 enhanced the activation/phosphorylation of kinase Akt and the transcription factor CREB. The role of transcription factor NF-kappaB was revealed through the demonstration of enhanced phosphorylation of IkappaBalpha and the consequent nuclear translocation of NF-kappaB subunits p50 and p65, as well as the antagonistic effects of an inhibitor of IkappaBalpha phosphorylation. These results together indicate that the human host defense peptide LL-37 can work in synergy with the endogenous inflammatory mediator IL-1beta to enhance the induction of specific inflammatory effectors by a complex mechanism involving multiple pathways, thus reinforcing certain innate immune responses.
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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 | 0.002 | 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 | 0.001 | 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".