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The Immunopathy of Alzheimer’s Disease: Innate or Adaptive?

2023· article· en· W4377010593 on OpenAlexaff
Donald F. Weaver

Bibliographic record

VenueCurrent Alzheimer Research · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsInnate immune systemAcquired immune systemNeuroscienceDiseaseImmunityMicrogliaAlzheimer's diseaseImmunologyBiologyImmune systemMedicineInflammation

Abstract

fetched live from OpenAlex

Beyond the time-honoured targeting of protein misfolding and aggregation, Alzheimer's disease needs new, innovative therapeutic directions. When exploring alternative druggable mechanisms, multifaceted in vitro and in vivo data demonstrate that immune system dysfunction is a pivotal driver of Alzheimer's disease progression. In pursuing neuroimmunological targets, a major but often under-discussed consideration regards the issue of whether innate or adaptive immunity (or both) within the neuroimmune network should be the centre of focus when devising immunotherapeutic approaches to Alzheimer's. This perspective article briefly reviews current data, concluding that while both innate and adaptive immunity contributes to the immunopathology of Alzheimer's, the proinflammatory microglia and cytokines of innate immunity will provide higher yield targets with a greater likelihood of efficacy. Although it seems paradoxical to focus on a rapid, short-lived aspect of immunity when seeking approaches to a quintessentially chronic brain disease, accumulating evidence affords ample data to support the target-rich cascade of innate immunity for the development of much-needed new diagnostics and therapeutics.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.206
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.434
GPT teacher head0.454
Teacher spread0.019 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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