MétaCan
Menu
Back to cohort
Record W2012110465 · doi:10.2174/156720511795255982

Does a Pro-Inflammatory Process Precede Alzheimers Disease and Mild Cognitive Impairment?

2011· article· en· W2012110465 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

VenueCurrent Alzheimer Research · 2011
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsAlzheimer's diseaseCognitive impairmentDiseaseCognitionMedicinePsychologyNeurosciencePathology

Abstract

fetched live from OpenAlex

The occurrence of a plaque-dependent inflammation in Alzheimer's disease has been extensively documented in both human specimens and transgenic models of the disease. Since insoluble plaques are present in AD patients from early preclinical stages of the pathology, the point at which neuroinflammation first occurs in the progression of the AD pathology is still unknown. In this review we discuss the clinical and experimental evidence for the occurrence of inflammation in preclinical, asymptomatic phases of the progression of the AD pathology. In particular, we discuss the evidence from different transgenic models suggesting that a pro-inflammatory process might even be initiated prior to plaque deposition. The factors responsible for the early, pre-plaque inflammation are reviewed, with particular emphasis on the role of soluble Aβ oligomers. Furthermore, we analyze the consequences of the microglial activation and the deregulation of NGF metabolism, in the context of the earliest amyloid pathology. Finally, we propose MMP-9 as a promising biomarker for signalling early stages of an ongoing CNS inflammation.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.235
GPT teacher head0.413
Teacher spread0.177 · 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