MétaCan
Menu
Back to cohort
Record W2043079819 · doi:10.1016/j.febslet.2013.06.015

Reactive astrocytes associated with plaques in TgCRND8 mouse brain and in human Alzheimer brain express phosphoprotein enriched in astrocytes (PEA‐15)

2013· article· en· W2043079819 on OpenAlexafffund
Lynsie A.M. Thomason, Laura J. Smithson, Lili‐Naz Hazrati, JoAnne McLaurin, Michael D. Kawaja

Bibliographic record

VenueFEBS Letters · 2013
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsOccupational Cancer Research CentreQueen's UniversityUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPhosphoproteinNeuroscienceAstrocyteHuman brainAlzheimer's diseaseChemistryBiologyCell biologyCentral nervous systemPhosphorylationMedicinePathologyDisease

Abstract

fetched live from OpenAlex

To identify potential biomarkers associated with Alzheimer's disease (AD)-like neuropathologies in the murine brain, we conducted proteomic analyses of neocortices from TgCRND8 mice. Here we found that phosphoprotein enriched in astrocytes 15 kDa (PEA-15) is expressed at higher levels in the neocortical proteomes from 6-month old TgCRND8 mice, as compared to non-transgenic mice. Immunostaining for PEA-15 revealed reactive astrocytes associated with the neocortical amyloid plaques in TgCRND8 mice and in post-mortem human AD brains. This is the first report of increased phosphoprotein enriched in astrocytes (PEA-15) expression in reactive astrocytes of an AD mouse model and human AD brains.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.271
Teacher spread0.254 · 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.

Study designObservational
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

Citations15
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueFEBS LettersSame topicAlzheimer's disease research and treatmentsFrench-language works237,207