The Role of Toll-like Receptor 4 in the Pathogenesis of Experimental Subarachnoid Hemorrhage
Bibliographic record
Abstract
Subarachnoid hemorrhage (SAH) accounts for 5-7% of strokes worldwide and is associated with high mortality and morbidity. In addition to brain damage from the initial hemorrhagic events, secondary complications are observed in patients as well as animal models. Inflammation is being increasingly implicated in the presentation of secondary complications of SAH. This study was designed to investigate the contributions of Toll-like receptor 4 (TLR4) to secondary pathologies after SAH in mice. SAH was induced in TLR4- deficient animals, animals treated with a pharmacological inhibitor of TLR4 (TAK-242) and their respective controls; the degree of behavioral disruption, histological vasospasm, neuronal damage, reactive gliosis and demyelination was assessed. Disruption of TLR4 signaling was found to improve behavioral scores, and reduce neuronal damage and reactive gliosis, but did not affect histological vasospasm and demyelination after SAH. These data suggests that inhibition of TLR4 signaling could be a promising new therapeutic strategy for SAH patients
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".