TT-301 Inhibits Microglial Activation and Improves Outcome after Central Nervous System Injury in Adult Mice
Bibliographic record
Abstract
BACKGROUND: Microglial inhibition may reduce secondary tissue injury and improve functional outcome following acute brain injury. Utilizing clinically relevant murine models of traumatic brain injury and intracerebral hemorrhage, neuroinflammatory responses and functional outcome were examined in the presence of a potential microglial inhibitor, TT-301. METHODS: TT-301 or saline was administered following traumatic brain injury or intracerebral hemorrhage, and then for four subsequent days. The effect of TT-301 on neuroinflammatory responses and neuronal viability was assessed, as well as short-term vestibulomotor deficit (Rotorod) and long-term neurocognitive impairment (Morris water maze). Finally differential gene expression profiles of mice treated with TT-301 were compared with those of vehicle. RESULTS: Reduction in F4/80+ staining was demonstrated at 1 and 10 days, but not 28 days, after injury in mice treated with TT-301 (n = 6). These histologic findings were associated with improved neurologic function as assessed by Rotorod, which improved by 52.7% in the treated group by day 7, and Morris water maze latencies, which improved by 232.5% as a function of treatment (n = 12; P < 0.05). Similar benefit was demonstrated following intracerebral hemorrhage, in which treatment with TT-301 was associated with functional neurologic improvement of 39.6% improvement in Rotorod and a reduction in cerebral edema that was independent of hematoma volume (n = 12; P < 0.05). Differential gene expression was evaluated following treatment with TT-301, and hierarchical cluster analysis implicated involvement of the Janus kinase-Signal Transducer and Activator of Transcription pathway after administration of TT-301 (n = 3/group). CONCLUSIONS: Modulation of neuroinflammatory responses through TT-301 administration improved histologic and functional parameters in murine models of acute neurologic injury.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".