Dark microglia: a therapeutic target to prevent synaptic loss and neurodegeneration?
Bibliographic record
Abstract
Dark microglia is a distinct state of microglia progressively increasing with aging and present in high numbers in neurodegenerative diseases. Dark microglia are characterised by various ultrastructural markers of cellular stress, including a condensed, electron-dense cytoplasm and nucleoplasm, giving them a dark appearance in electron microscopy. Expression of classical homeostatic microglia markers such as like IBA1, P2RY12 and TMEM119 is significantly down-regulated in dark microglia. Dark microglial cells are also hyper-ramified and make extensive interactions, phagocytic and non-phagocytic, with synapses, myelinated axons, amyloid plaques and the vasculature, suggesting a role in brain remodelling in aging and disease. Emergence of dark microglia is linked to the activation of integrated stress response. It is suggested that metabolic interventions such as ketogenic diets and supplements could be effective at targeting and normalizing dark microglia, with positive outcomes on brain resilience and healthy cognitive aging.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".