The Induction of Pro–IL-1β by Lipopolysaccharide Requires Endogenous Prostaglandin E2 Production
Bibliographic record
Abstract
Abstract PGE2 has been shown to increase the transcription of pro–IL-1β. However, recently it has been demonstrated that PGE2 can block the maturation of IL-1β by inhibiting the NLRP3 inflammasome in macrophages. These apparently conflicting results have led us to reexamine the effect of PGE2 on IL-1β production. We have found that in murine bone marrow–derived macrophages, PGE2 via the cAMP/protein kinase A pathway is potently inducing IL-1β transcription, as well as boosting the ability of LPS to induce IL-1β mRNA and pro–IL-1β while inhibiting the production of TNF-α. This results in an increase in mature IL-1β production in macrophages treated with ATP. We also examined the effect of endogenously produced PGE2 on IL-1β production. By blocking PGE2 production with indomethacin, we made a striking finding that endogenous PGE2 is essential for LPS-induced pro–IL-1β production, suggesting a positive feedback loop. The effect of endogenous PGE2 was mediated by EP2 receptor. In primary human monocytes, where LPS alone is sufficient to induce mature IL-1β, PGE2 boosted LPS-induced IL-1β production. PGE2 did not inhibit ATP-induced mature IL-1β production in monocytes. Because PGE2 mediates the pyrogenic effect of IL-1β, these effects might be especially relevant for the role of monocytes in the induction of fever. A positive feedback loop from IL-1β and back to PGE2, which itself is induced by IL-1β, is likely to be operating. Furthermore, fever might therefore occur in the absence of a septic shock response because of the inhibiting effect of PGE2 on TNF-α production.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".