Fasudil-Triggered Phagocytosis of Myelin Debris Promoted Meylin Regeneration via the Activation of TREM2/DAP12 Signaling Pathway in Cuprizone-Induced Mice
Bibliographic record
Abstract
Abstract The inflammation and demyelination of the central nervous system (CNS) are mainly involved in multiple sclerosis (MS), in which the disorder of myelin regeneration leads to continual neurologic impairment. Fasudil, one of the ROCK inhibitors, has been shown protective functions in some models of demyelinating diseases. In this study, Fasudil treatment ameliorated the behavioral performance and myelin loss in CPZ-fed mice. Here, we demonstrated a new role of Fasudil, which triggered microglia to uptake myelin debris in both cell and animal experiments. This increased phagocytosis was associated with the polarization of M2 microglia. Furthermore, we found that Fasudil enhanced the expression of triggering receptor expressed on myeloid cells 2 (TREM2) and DNAX-activating protein of 12 kDa (DAP12), which regulated microglial phagocytosis and M2 polarization. The silence of TREM2 effectively blocked Fasudil-triggered phagocytic capacity, suggesting that Fasudil-triggered phagocytosis depends on TREM2 signaling pathway. Based on these evidences that TREM2 regulates microglial M2 polarization and phagocytosis, future studies targeted Fasudil as a therapy for demyelinating and neurodegenerative diseases are warranted.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".