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Record W2536850461 · doi:10.2217/fnl-2016-0020

Modifiable risk factors of Alzheimer's disease and neuroinflammation: what are the links?

2016· article· en· W2536850461 on OpenAlexaff
Ekta Bajwa, Caitlin B. Pointer, Andis Klegeris

Bibliographic record

VenueFuture Neurology · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsNeuroinflammationDiseaseMedicineDiabetes mellitusPathologicalRisk factorDementiaNeuroscienceBioinformaticsPsychologyInternal medicineEndocrinologyBiology

Abstract

fetched live from OpenAlex

Alzheimer's disease (AD) is a neurodegenerative disorder affecting 46 million people worldwide with its incidence rapidly increasing. The pathological hallmarks of AD include the deposition of amyloid-β plaques and the formation of neurofibrillary tangles, which trigger a state of chronic neuroinflammation mediated by dysregulated glial cell activation. Currently, no cure exists for AD, highlighting the need to reduce incidence of this devastating disease by identifying modifiable risk factors. Several studies have demonstrated that sedentary lifestyles, hypertension, and lifestyle-associated conditions such as obesity and Type 2 diabetes mellitus contribute to increased risk of AD. Herein, we describe the link between these select modifiable risk factors and chronic neuroinflammation, thereby highlighting control of risk factors as a possible strategy for inhibiting disease progression.

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 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 score0.026
Threshold uncertainty score0.538

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 science0.0000.000
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 head0.024
GPT teacher head0.233
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2016
Admission routes1
Has abstractyes

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