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Intracellular and Extracellular Aβ, a Tale of Two Neuropathologies

2006· review· en· W2018188862 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBrain Pathology · 2006
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsExtracellularIntracellularNeuroscienceNeuriteBiologyPathologicalAmyloid (mycology)SynapseAlzheimer's diseaseCell biologyPathologyDiseaseMedicineBiochemistryIn vitro

Abstract

fetched live from OpenAlex

The central pathological cause of Alzheimer disease (AD) is hypothesized to be an excess of beta-amyloid (Abeta) which accumulates into toxic fibrillar deposits within extracellular areas of the brain. These deposits disrupt neural and synaptic function and ultimately lead to neuronal degeneration and dementia. In addition to the pathological roles attributed to Abeta, evidence from our laboratory would suggest that Abeta serves a physiological role in the modulation of CRE-directed gene expression. This commentary also highlights some of the pathological consequences of the accumulation of intracellular Abeta. Finally it discusses the impact of cortical Abeta burden on transmitter-specific synaptic numbers as well as the generation of dystrophic neurites. The fundamental thesis of my proposal is that the Abeta pathology seen in AD is a continuous process from an initial abnormal Abeta intracellular accumulation to the well-established extracellular Abeta aggregation, culminating in the formation of amyloid plaques and dystrophic neurites.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.363
Teacher spread0.313 · 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