Signaling through MyD88 Regulates Leukocyte Recruitment after Brain Injury
Bibliographic record
Abstract
Injury to the CNS provokes an innate inflammatory reaction that engages infiltrating leukocytes with the capacity to repair and/or exacerbate tissue damage. The initial cues that orchestrate leukocyte entry remain poorly defined. We have used flow cytometry to investigate whether MyD88, an adaptor protein that transmits signals from TLRs and receptors for IL-1 and IL-18, regulates leukocyte infiltration into the stab-injured entorhinal cortex (EC) and into sites of axonal degeneration in the denervated hippocampus. We have previously established the kinetics of leukocyte entry into the denervated hippocampus. We now show that significant leukocyte entry into the EC occurs within 3-12 h of stab injury. Whereas T cells showed small, gradual increases over 8 days, macrophage infiltration was pronounced and peaked within 12-24 h. MyD88 deficiency significantly reduced macrophage and T cell recruitment to the stab-injured EC and the denervated hippocampus at 5 days post-injury. Whereas macrophage and T cell entry remained impaired into the denervated hippocampus of MyD88-deficient mice at 8 days, leukocyte infiltration into the stab-injured EC was restored to levels observed in wild-type mice. Transcripts for TNF-alpha, IL-1beta, and CCL2, which increased >50-fold after stab injury in C57BL/6 mice at the time of peak expression, were severely reduced in injured MyD88 knockout mice. Leukocyte recruitment and gene expression were unaffected in TLR2-deficient or TLR4 mutant mice. No significant differences in gene expression were observed in mice lacking IL-1R or IL-18R. These data show that MyD88-dependent signaling mediates proinflammatory gene expression and leukocyte recruitment after CNS 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 | 0.001 | 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 | 0.001 |
| 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 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".