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Record W4380877329 · doi:10.1002/alz.061902

ELUCIDATING THE COMBINED EFFECTS OF AMYLOID AND TAU IN A NOVEL BIGENIC RAT MODEL WITH HUMAN ALZHEIMER’S DISEASE‐LIKE PATHOLOGY

2023· article· en· W4380877329 on OpenAlexaffabout
Joshua T. Emmerson, Sonia Do Carmo, Claudio A. Cuello

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsGenetically modified mouseContext (archaeology)PathologyAmyloid (mycology)Alzheimer's diseaseMedicineDementiaAmyloid precursor proteinNeuroscienceDiseasePsychologyTransgeneBiologyGenetics

Abstract

fetched live from OpenAlex

Abstract Background Both amyloid beta (Aβ) and tau pathologies co‐exist in Alzheimer’s disease. While studies have shown that Aβ and tau interaction results in elevated AD pathology, it is not clearly understood how they might affect one another during early pathology stages leading to Aβ plaque formation. This study aimed at determining how and to which extent a combination of gradually developing amyloid and tau pathologies exacerbate each other in the context of Alzheimer’s disease‐like pathology in a novel transgenic rat model. Methods Heterozygous McGill‐R‐Thy1‐APP and R955‐hTau single transgenic rats were crossed, producing a novel bigenic rat model with both human amyloid and tau pathologies, named McGill‐R‐APPxhTau955. Bigenic rats express human APP with the Swedish and Indiana mutations (KM670/671NL, V717F) as well as the longest isoform of human tau (2N4R) with the P301S mutation causative of frontotemporal dementia. Transgenic rats (n = 10‐12) were raised to cohorts at 12, 20 and 24 months of age and were subject to a battery of behavioural testing for cognition. Examination of amyloid and tau pathology, as well as inflammatory and neurodegenerative processes, was performed primarily using immunohistochemistry (IHC) and Western blot (WB). Levels of amyloid, tau and p‐tau were measured in CSF, brain and blood serum by electrochemiluminescence immunoassays. Bigenic animals were compared to single transgenics and wild‐type littermate controls. Results APPxR955‐hTau bigenic rats produced a gradual accumulation of human amyloid and tau, resulting in progressive cognitive deficits and Alzheimer‐like pathology. We discovered that tau accumulation produced a compensatory effect on cognition and long‐term potentiation at 20 months, rescuing amyloid‐induced cognitive effects. However, at 24 months of age, bigenic rats displayed worsened cognition compared to single transgenics in spatial learning and memory. Reflective of these findings, bigenic rats developed an increased phosphorylaton of tau at 24 months and increased Aβ plaque pathology. Status of biomarker levels, neuroinflammation and neurodegeneration are actively under investigation and are expected to trend similarly. Conclusions The McGill‐R‐APPxhTau novel bigenic rat, developing slow progressing amyloid and tau pathologies, is an attractive model for the further investigation of mechanisms by which both proteins effect one another, the observation of biomarker changes and elucidation of early disease stages.

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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
Published2023
Admission routes2
Has abstractyes

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