THE ACTIVITY OF PATHWAY-SELECTIVE ESTROGEN RECEPTOR LIGANDS IN EXPERIMENTAL SEPTIC SHOCK
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 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) | 0.000 | 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 it