PGE2 Upregulates IL-8 Via P38MAPK-Dependent Dual-Activation of CHOP and C/EBP-β in Human Astrocytomas
Bibliographic record
Abstract
We previously showed that in low- as well as in high-grade astrocytomas IL-8 overexpression is triggered by prostaglandin E2 (PGE2) through the upregulation of the transcription factors CCAAT/enhancer-binding protein-β (C/EBP-β) and C/EBP homologous protein (CHOP). Here we investigated the signal transduction pathways and the molecular mechanisms underlying the PGE2-dependent IL-8 gene expression in astrocytomas. Low- and high-grade PGE2-treated astrocytoma cells were transfected with wild-type and mutated IL-8 promoter constructs in the presence of various signal transduction pathway inhibitors, and cotransfected with transcription factor overexpressing plasmids or small-interfering RNAs. p38MAPK, C/EBP-β, and CHOP phosphorylation was analyzed by Western blotting. Electrophoretic mobility shift assay and chromatin immunoprecipitation evaluated the in vitro and in vivo binding of CHOP and C/EBP-β to IL-8 promoter. The results obtained allowed us to find out the signaling pathways triggered by PGE2 and responsible for the activation of the transcription factors involved in the overproduction of IL-8 by astrocytoma. Therefore, it can be argued that the inhibition of the PGE2 downstream pathways may represent a novel therapeutic approach for the treatment of patients with astrocytoma.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".