Toll‐like receptor (TLR)‐2 and TLR‐4 regulate inflammation, gliosis, and myelin sparing after spinal cord injury
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
Activation of macrophages via toll-like receptors (TLRs) is important for inflammation and host defense against pathogens. Recent data suggest that non-pathogenic molecules released by trauma also can trigger inflammation via TLR2 and TLR4. Here, we tested whether TLRs are regulated after sterile spinal cord injury (SCI) and examined their effects on functional and anatomical recovery. We show that mRNA for TLR1, 2, 4, 5, and 7 are increased after SCI as are molecules associated with TLR signaling (e.g. MyD88, NFkappaB). The significance of in vivo TLR2 and TLR4 signaling was evident in SCI TLR4 mutant (C3H/HeJ) and TLR2 knockout (TLR2-/-) mice. In C3H/HeJ mice, sustained locomotor deficits were observed relative to SCI wild-type control mice and were associated with increased demyelination, astrogliosis, and macrophage activation. These changes were preceded by reduced intraspinal expression of interleukin-1beta mRNA. In TLR2-/- mice, locomotor recovery also was impaired relative to SCI wild-type controls and novel patterns of myelin pathology existed within ventromedial white matter--an area important for overground locomotion. Together, these data suggest that in the absence of pathogens, TLR2 and TLR4 are important for coordinating post-injury sequelae and perhaps in regulating inflammation and gliosis after SCI.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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