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Record W7117138973 · doi:10.1002/alz70855_106153

Characterization of mouse models of synucleinopathies

2025· article· en· W7117138973 on OpenAlexaff
Latiyah TC Timothy, Vladislav Novikov, Kellly Summers, Thomas M. Durcan, Edward A. Fon, Czarina Evangelista, Ravi S. Menon, Lisa M Saksida, Timothy J. Bussey, Joel C. Watts, Vânia F. Prado, Marco AM Prado

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of TorontoMontreal Neurological Institute and HospitalMcGill UniversityRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsSynucleinopathiesIdentification (biology)DiseaseFocus (optics)Human disease

Abstract

fetched live from OpenAlex

BACKGROUND: Synucleinopathies, such as Parkinson's disease (PD) and dementia with Lewy bodies (DLB), are characterized by the aggregation of pathological alpha-synuclein (αSyn). The M83 hemizygous (het) transgenic mouse model has been extensively used to study synucleinopathies following injection of human αSyn preformed fibrils (PFFs). However, like other transgenic mouse lines, M83 mice exhibit an aggressive phenotype. To explore alternative models, we attempted to replicate findings using wild-type (WT) mice injected with mouse αSyn PFFs. Additionally, we generated novel knock-in humanized αSyn mouse models expressing fully human wild-type, PD-associated (A53T), or DLB-associated (E83Q) αSyn mutants. METHOD: M83 hemizygous mice injected with human PFFs were analyzed using light-sheet microscopy. WT mice were injected with either mouse αSyn PFFs or PBS (control). Cognitive flexibility was assessed using the Two-Choice Pairwise Visual Discrimination-Reversal (PVD-R) touchscreen task. Motor behavior was evaluated using Rotarod, CatWalk gait analysis, wire-hang, grip force, and open field tests. Phosphorylated αSyn was detected via Western blotting and immunofluorescence. Humanized αSyn mouse models were generated in collaboration with Cyagen using CRISPR-Cas9 and homologous recombination. RESULT: M83 mice exhibited early cognitive impairments and a disproportionately high accumulation of S129-phosphorylated αSyn in the spinal cord, consistent with their severe motor deficits. Preliminary findings indicate no significant differences in cognitive performance between mouse PFF-injected and control WT mice in the PVD-R task. Furthermore, WT mice displayed little to no αSyn pathology, and only male WT PFF-injected mice demonstrated mild motor deficits in Rotarod and wire-hang tests approximately eight months post-injection, despite minimal αSyn pathology. Western blot analysis confirmed that human αSyn is expressed in heterozygous humanized mouse models at levels comparable to endogenous mouse αSyn. Phosphorylated αSyn was also detected in the RIPA-soluble fraction in mutant mice. CONCLUSION: Our findings highlight limitations in both the M83 and WT αSyn PFF models. Given these results, we will focus on humanized WT, A53T, and E83Q SNCA models, which are expected to provide more physiologically relevant αSyn expression and improved reliability for studying synucleinopathies. These models may enhance our understanding of disease progression and facilitate the identification of potential therapeutic targets.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.004

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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