The good, the bad and the ugly. Macrophages/microglia with a focus on myelin repair
Bibliographic record
Abstract
A feature of most neurological disorders is demyelination, whereby myelin is lost from axons partly through stripping by macrophages/microglia. Spontaneous remyelination by oligodendrocytes that mature from oligodendrocyte precursor cells occurs following demyelination, even in the chronic inflammatory disorder of the central nervous system, multiple sclerosis. If remyelination does not occur or is prevented, then one consequence besides the loss of saltatory nerve conduction is the degeneration of axons. Thus, promoting remyelination is a desired result. In this article, we review the data that despite a reputation as "bad" factors for CNS wellbeing, including the promotion of neuroinflammation and demyelination, some aspects of macrophages/microglia activity are indeed "good", and can engender repair from the "ugly" phenomenon of demyelination. We discuss factors that help promote the benefits of macrophages/microglia activity for remyelination.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".