Bibliographic record
Abstract
PURPOSE OF REVIEW: Prostaglandin E2 (PGE2) is by far the major prostanoid synthesized in the joint and plays an important role in inflammation and pathogenesis of arthritis. Moreover, increased levels of PGE2 have been detected in serum and synovial fluids from arthritic patients. Little was known about the enzyme(s) involved in the isomerization of PGH2 into PGE2 synthesis until recent identification of PGE synthase (PGES). Several isoforms were characterized, among which microsomal PGES-1 (mPGES-1) has received much attention, because this enzyme is inducible and functionally linked with cyclooxygenase-2. This review focuses on recent findings regarding the regulation of mPGES-1 expression and the possible role of this enzyme in arthritis. RECENT FINDINGS: Various in vitro and in vivo studies demonstrated that proinflammatory stimuli, such as interleukin-1beta and tumor necrosis factor-alpha upregulate the expression of mPGES-1 at the protein and mRNA level. Promoter analysis indicates that the transcription factor Egr-1 is involved in the positive regulation of mPGES-1. Studies from mPGES-1-deficient mice and animal models of inflammatory arthritis strongly suggest a role of mPGES-1 in the production of PGE2 and the pathogenesis of arthritis. SUMMARY: This article reviews the regulation of mPGES-1 expression and provides evidence for a role of mPGES-1 in inducible PGE2 production and arthritis. Future studies using selective inhibitors of mPGES-1 activity or expression would clarify the role of this enzyme in arthritis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".