A postgenomic integrated view of prostaglandins in reproduction: implications for other body systems.
Bibliographic record
Abstract
Prostaglandins are primary mediators of pain and are involved in pathological conditions such as hypertension, cancer and inflammation but are also needed for normal function of the female reproductive system. This may hold true for other systems because long term use of selective COX-2 inhibitors such as VIOXX and BEXTRA was associated with heart failure, leading to their withdrawal. A thorough study of the contribution of prostaglandins in the regulation of normal body function is clearly needed. A major drawback of the current therapeutic strategies aiming at controlling PGs is that they aim at early steps of biosynthesis thus blocking all PGs, good and bad. However, PGs often work as opposing dyads such as PGI2-TXA2 in the vascular system and PGF2alpha-PGE2 in the female reproductive system. The paradigm thus appears as effecting selective synthesis, transport and action of individual PG isoforms. In this respect, the female reproductive system appears as an ideal study model. Data from human and animal genome projects allowed identifying the corresponding members of the biosynthetic and signal transduction components of the PG system in different animal species. Of particular interest was that PG terminal synthase shared similarities or identity with enzymes previously known for steroid or sugar metabolism and free radical detoxification. We present here an integrated view of PG action based on observations in the female reproductive system, but with potential strategic implications for cardiovascular and metabolic complications.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".