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Record W4406811101 · doi:10.47855/jal9020-2025-1-1

Dark microglia: a therapeutic target to prevent synaptic loss and neurodegeneration?

2025· article· en· W4406811101 on OpenAlexaff
Marie‐Ève Tremblay

Bibliographic record

VenueAgeing & Longevity · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsMicrogliaNeurodegenerationNeuroscienceMedicineBiologyInflammationImmunologyDiseasePathology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.270
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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