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Record W115783066 · doi:10.3233/jad-143156

Synergistic Actions of Microglia and Astrocytes in the Progression of Alzheimer's Disease

2015· review· en· W115783066 on OpenAlexafffund
David Bouvier, Keith K. Murai

Bibliographic record

VenueJournal of Alzheimer s Disease · 2015
Typereview
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMcGill University Health CentreMontreal General Hospital
FundersFonds de Recherche du Québec - SantéPfizer
KeywordsMicrogliaNeuroscienceCrosstalkAstrocyteDiseaseInflammationAlzheimer's diseaseNeuroinflammationBiologyCentral nervous systemMedicinePathologyImmunology

Abstract

fetched live from OpenAlex

Microglia and astrocytes are essential components of brain homeostasis. Interestingly, when the brain is exposed to adverse conditions, both astrocytes and microglia acquire specialized 'reactive' or 'activated' phenotypes that relate to the characteristics of the insult. In most cases they become important perpetrators of inflammation and potentially neuronal dysfunction. In neurodegenerative diseases such as Alzheimer's disease, the reciprocal interactions between microglia and astrocytes may be particularly important for the development of neuronal pathology and disease states. An important challenge is to understand how microglia and astrocytes inter-communicate at different stages of disease and the importance of this crosstalk on the physiology of surrounding neurons. In this review we focus on the potential roles that microglia and astrocytes fulfill in early to late stages of AD and how their synergistic actions may shape the progression of AD pathology to affect brain health.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.144
GPT teacher head0.385
Teacher spread0.240 · 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 designOther design
Domainnot available
GenreReview

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

Citations52
Published2015
Admission routes2
Has abstractyes

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