THE ACTIVITY OF PATHWAY-SELECTIVE ESTROGEN RECEPTOR LIGANDS IN EXPERIMENTAL SEPTIC SHOCK
Bibliographic record
Abstract
Estrogen receptors (ER) are widely expressed in multiple genital and nongenital tissues. Upon engagement of these receptors, multiple genes are affected in target tissues via estrogen response elements. Nonsteroidal pathway-selective ER ligands have recently been identified that inhibit NF-kappaB transcriptional activity and are devoid of conventional estrogenic activities on genital tissues. These pathway-selective ligands are potent anti-inflammatory agents in vivo and may prove to be of therapeutic utility in systemic inflammatory states. These pathway-selective ER ligands were tested in the murine listeriosis model, the neutropenic rat model, and the mouse cecal ligation and puncture model. WAY-204688 did not have any significant activity after systemic infection by Listeria monocytogenes. In the neutropenic rat model, WAY-204688 provided a significant survival benefit against an otherwise lethal challenge of Pseudomonas aeruginosa 12.4.4 compared with the control group (88% versus 25% survival; P < 0.05). Preservation of mucosal weight and prevention of histopathologic changes were observed with the administration of WAY-204688. Similar findings were observed in a cecal ligation and puncture model with WAY-204688 and a related compound WAY-169916. These results indicate that oral administration of these pathway-selective ER ligands preserved gastrointestinal barrier function and improve outcome in experimental models of systemic infection and inflammation. These agents may prove to be useful clinically as a novel treatment strategy for severe sepsis.
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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) | 0.001 | 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 | 0.001 |
| 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".