Anti‐inflammatory effects of prostaglandin E<sub>2</sub> in the central nervous system in response to brain injury and circulating lipopolysaccharide
Bibliographic record
Abstract
Prostaglandin E2, a product of the cyclooxygenation of arachidonic acid released from membrane phospholipids, plays major roles in regulating brain injury and inflammation. Although prostaglandin E2 has frequently been considered as a possible inducer of brain damage and degeneration, it may exert beneficial effects in the CNS. Indeed, in spite of its classic role as a pro-inflammatory molecule, several recent in vitro observations indicate that prostaglandin E2 can inhibit microglial activation. This study investigated the effect of central prostaglandin E2 injection on circulating lipopolysaccharide-induced gene expression of different pro-inflammatory molecules in both vascular and parenchymal elements of the brain. Localized, but strong, expression of tumor necrosis factor-alpha and interleukin-1ss mRNA was found at the edge of the intracerebroventricular tract, which was largely prevented by the central prostaglandin E2 injection. Systemic lipopolysaccharide injection caused a profound transcriptional activation of cyclooxygenase-2 and the inhibitory factor kappaBalpha (IkappaBalpha, index of NF-kappaB activity) in the cerebral endothelium and tumor necrosis factor-alpha in microglial cells across the brain parenchyma. Although exogenous prostaglandin E2 increased lipopolysaccharide-induced NF-kappaB activity and cyclooxygenase-2 transcription in vascular-associated elements, it significantly reduced microglial activation and tumor necrosis factor-alpha expression in the brain parenchyma. These results indicate that prostaglandin E2 may play an important role in modulating the immune response occurring at the injured site and the pro-inflammatory signaling events taking place in both vascular- and microglial-associated elements of the CNS.
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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 | 0.001 |
| 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) | 0.000 | 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".