Brain APCs including microglia are only differential and positional polymorphs
Bibliographic record
Abstract
The antigen presentation to lymphocytes in brain occurs in two steps. Initially it happens at perivascular spaces by perivascular microglia/macrophage population and finally at the site of inflammation deep into brain parenchyma by the resident microglia. But recent evidence challanges the existing notion of involvement of distinct and different cells at these sites. Studies have shown that many of these microglial cells show dendritic cell phenotype in pathogenic and cytokine driven environment. Different subsets of the cell show wide range of myeloid lineage functions indicating a pre-differentiated status of the cell. Monocytic CD34(+)/B220(+) precursor cells have been transformed to microglial cells in vitro and transplantation of these cells show Iba-1 or F4/80 positivity with microglial phenotypes in vivo in adults. Even they can be converted into dendritic cell like forms. The interconvertability among macrophage-microglia-dendritic cells and final effector maturation according to the microenvironmental cues indicates existence of a pre-mature myeloid cell population concerned with antigen presentation and related functions in brain. With the substantial recent observation this article sketches the idea that brain APCs appearing as macrophage/microglia/DC like forms are derivatives of the same stock in response to their position and microenvironment. And also microglia is never any distinct cells, both in neonatal stage and adults.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".