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Record W4406049452 · doi:10.1002/alz.092571

Assessing the Effect of Combined Humanization of Apolipoprotein E, Amyloid and Tau on Cognition and Alzheimer’s Disease Pathology

2024· article· en· W4406049452 on OpenAlexaff
Aya Arrar, Mark Longmuir, Kate M. Onuska, Beatriz Gangale Muratori, Bryan Lung, Scheila Schmidt, Arash Salahinejad, Suzete Maria Cerutti, Lisa M. Saksida, Timothy J. Bussey, Tallulah Andrews, Taylor W. Schmitz, Marco A. M. Prado

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsLawson Health Research InstituteRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsTau pathologyCognitionDiseaseAmyloid (mycology)Amyloid βApolipoprotein EMedicineAlzheimer's diseasePsychologyPathologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract Background Apolipoprotein E (ApoE) exhibits isoform‐specific interactions with Alzheimer’s disease (AD)‐related pathology. In comparison with the more common ApoE3 isoform, ApoE4 promotes amyloid‐β (Aβ) deposition, enhances tau‐mediated neurodegeneration and inflammation. However, the lack of appropriate preclinical models has limited the ability to evaluate the potential synergistic effect of Aβ, tau and ApoE on cognition and disease progression. To overcome this, we developed new mouse models harbouring humanized variants of the ApoE genotypes (ApoE3 or ApoE4), hApp (AppNL or AppNL‐F) and hMAPT (tau) and evaluated whether the interaction among these AD‐related factors influence cognition, brain structure, and pathological load. Method An array of biochemical and imaging techniques including single‐nuclei (sn)RNA sequencing, magnetic resonance imaging (MRI), immunofluorescence microscopy, and Western blots were performed. Attentional demand was assessed, using the cross‐species Continuous Performance Task, an automated touchscreen test. Result Preliminary results indicate that AppNL‐F (ApoE3 or ApoE4), but not AppNL (ApoE3 or ApoE4) mice presented plaque pathology and insoluble Aβ. Moreover, increased levels of insoluble Aβ, plaque burden, plaque size and neuroinflammation were observed in the cortex of AppNL‐F ApoE4 mice in comparison to AppNL‐F ApoE3 at 9 and 12 months of age. At 16 months of age AppNL‐F ApoE3 and ApoE4 mice showed similar levels of insoluble Aβ. In vivo 9.4T MRI analyses indicated reduced grey matter volume in fronto‐cortical regions of AppNL‐F ApoE4 mice when compared to controls. snRNA sequencing also indicated a reduction of excitatory neurons in the cortex and upregulation of gliosis related genes and astrocytic populations at 9 months in AppNL‐F ApoE4 mice. Attentional deficits were observed on the CPT as early as 6 months of age in AppNL‐F ApoE4 mice that were maintained at 9 and 12 months of age. Conclusion Results from this project provide new insights into how amyloid, ApoE, and tau conspire to trigger and accelerate disease progression. We show that amyloid interacts with both ApoE3 and ApoE4 to drive degeneration, but in that the rate of this progression is faster in the ApoE4 background. Our findings also demonstrate that cognitive deficits are detectable much earlier than expected, in putative pre‐plaque stages of disease.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.333
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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