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Record W2913876654 · doi:10.1177/1179069519825882

Unexpected Microglial “De-activation” Associated With Altered Synaptic Transmission in the Early Stages of an Animal Model of Multiple Sclerosis

2019· article· en· W2913876654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Experimental Neuroscience · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsNeuroscienceMultiple sclerosisMicrogliaMedicineNeurotransmissionBiologyPsychologyInflammationPsychiatryImmunologyReceptorInternal medicine

Abstract

fetched live from OpenAlex

Multiple sclerosis, and its animal model-experimental autoimmune encephalomyelitis (EAE), is a demyelinating disease causing motor and sensory dysfunction, as well as behavioral comorbidities. In exploring possible functional changes underlying behavioral comorbidities in EAE, we observed increased excitatory drive onto the major cells of the basolateral amygdala. This was associated with increased numbers of dendritic spines. An unexpected finding was that microglial cells at this time were in a "deactivated" state, and further studies suggested that the microglial deactivation was responsible for the increased excitatory drive. This is the first report of microglial deactivation in an inflammatory disease and raises many questions as to the underlying mechanisms and functional relevance.

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.

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 score0.057
Threshold uncertainty score0.407

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 communication0.0000.001
Open science0.0010.000
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 head0.062
GPT teacher head0.272
Teacher spread0.209 · 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