Systemic injections of lipopolysaccharide accelerates myelin phagocytosis during Wallerian degeneration in the injured mouse spinal cord
Bibliographic record
Abstract
The phagocytic cell response within the injured spinal cord is inefficient, allowing myelin debris to remain for prolonged periods of time within white matter tracts distal to the injury. Several proteins associated with this degenerating myelin are inhibitory to axon growth and therefore prevent severed axons from regenerating. Inflammatory agents such as lipopolysaccharide (LPS) can stimulate both the migration and phagocytic activity of macrophages. Using in situ hybridization, we found that the expression of the LPS membrane receptor, CD14, was enhanced in the mouse dorsal column following a dorsal hemisection. Double labeling studies showed that microglia and macrophages are the two major cell types expressing CD14 mRNA following spinal cord injury (SCI). We therefore tested whether systemic injections of LPS would increase the number and phagocytic activity of macrophages/microglia in the ascending sensory tract (AST) of the mouse dorsal column following a dorsal hemisection. Mice were treated daily via intraperitoneal injections of either LPS or phosphate-buffered saline (PBS). At 7 days post-SCI, greater numbers of activated mononuclear phagocytes were present in the AST undergoing Wallerian degeneration (WD) in LPS-treated animals compared with controls. Animals treated with LPS also exhibited greater Oil Red O staining, which is specific for degenerating myelin and macrophages phagocytosing myelin debris. Myelin clearance was confirmed at 7 days using Luxol Fast Blue staining and on toluidine blue-stained semi-thin sections. These results indicate that it is possible to manipulate the innate immune response to accelerate myelin clearance during WD in the injured mouse spinal cord.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".