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Record W2030046976 · doi:10.2174/156720508785908874

Relevance of Aβ 1-42 Intrahippocampal Injection as An Animal Model of Inflamed Alzheimers Disease Brain

2008· review· en· W2030046976 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

VenueCurrent Alzheimer Research · 2008
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMicrogliaAlzheimer's diseaseNeuroscienceHippocampal formationAmyloid betaHippocampusDiseaseAmyloid (mycology)InflammationPsychologyMedicinePathologyInternal medicine

Abstract

fetched live from OpenAlex

Injection of amyloid-beta peptide (Abeta1-42) into hippocampal and cortical regions of brain may have utility as an animal model of Alzheimer's disease (AD) emphasizing the inflammatory component of disease pathology. This review summarizes recent evidence supporting the relevance of the peptide injection model to describe inflammatory conditions in AD brain. A wide spectrum of responses are considered from effects of Abeta1-42 on animal behavior and cognitive performance to peptide actions at the cellular and molecular levels. In the latter case a particular focus is placed on inflammatory responses mediated by activated microglia. Specific pharmacological modulations of microglial signaling pathways and factors and how they shape patterns of inflammatory reactivity in peptide-injected brain are included. Overall, the considerations for the validity and limitations of Abeta1-42 injection as an animal model for AD pathology are also discussed.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.340
GPT teacher head0.510
Teacher spread0.169 · 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