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Record W7119493465 · doi:10.1002/alz70856_106526

STIP1 Knockout Mitigates Disease Progression in a Synucleinopathy Mouse Model: A Multimodal Behavioral and Neuroimaging Study

2025· article· en· W7119493465 on OpenAlexaffabout
Sara Touj, Vladislav Novikov, Medhinee M. Malvankar, Piero Rodriguez, Allison Brandt, Janice Park, Daniel Gallino, Gabriel A. Devenyi, Timothy J. Bussey, Lisa M Saksida, Ravi S. Menon, Marco AM Prado, Mallar M. Chakravarty

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsRobarts Clinical TrialsWestern UniversityMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsNeurodegenerationKnockout mouseGenetically modified mouseCognitionDiseaseNeuroimagingStriatum

Abstract

fetched live from OpenAlex

Abstract Background Synucleinopathies, including Parkinson's disease (PD), are characterized by misfolded alpha‐synuclein (αSyn) accumulation, leading to neurodegeneration, motor dysfunction, and cognitive impairments. Normally, Hsp90 helps clear misfolded proteins, but under proteostatic stress, the chaperone network forms an epichaperome, stabilizing toxic aggregates and worsening disease progression. STIP1 (Stress‐Inducible Phosphoprotein 1), a key Hsp90 (Heat Shock Protein 90) co‐chaperone, facilitates αSyn aggregation and stabilizes the epichaperome, promoting neurotoxicity. This study investigates conditional STIP1 knockout (STIP1Fx/Cre+) effects on disease progression in an αSyn mouse model, using behavioral and neuroimaging assessments. By examining cognitive outcomes alongside neurodegeneration trajectories, this work aims to determine whether disrupting the epichaperome could serve as a viable strategy for disease modification. Methods M83 transgenic mice expressing human A53T αSyn were crossed with tamoxifen‐inducible CreER mice to generate STIP1Fx/Cre+ and STIP1Fx/Cre− littermates. At 11 weeks, mice received unilateral αSyn preformed fibrils (PFFs) injections into the right dorsal striatum to seed pathology. One week post‐surgery, mice were administered tamoxifen for five consecutive days to induce STIP1 knockout. Mice underwent touchscreen‐based cognitive assessments. Touchscreen experiments were reproduced at both at McGill and Western University. T1‐weighted magnetic resonance images (MRI; 100 μm 3 voxels, Bruker 7T) were acquired at ‐7 and 90 days post‐injection (dpi). Deformation‐based morphometry (DBM) was used to assess voxel‐wise volumetric changes longitudinally. Linear mixed‐effects models analyzed genotype by time interactions for behavioral and MRI data. Results STIP1Fx/Cre+ mice showed a significant genotype × day interaction (β = 1.94, p = 0.001) in touchscreen reversal, improving faster than STIP1Fx/Cre‐ mice (Figure 1). This suggests enhanced cognitive flexibility, replicated across sites (data shown from McGill site only). MRI DBM analysis revealed that STIP1Fx/Cre+ mice exhibited progressive volume increases in the thalamus, motor cortex, anterior olfactory nucleus (AON), and reticular nucleus, while STIP1Fx/Cre‐ mice showed progressive atrophy (Figure 2). This suggests STIP1 knockout may influence neurodegeneration trajectories in synucleinopathy progression. Conclusion This study provides evidence that STIP1 depletion alters disease progression, with Cre+ mice showing better behavioral outcomes and distinct neuroimaging trajectories. Larger samples and histological validation will further clarify STIP1's role and its potential as a therapeutic target for αSyn‐driven neurodegeneration.

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 score0.007

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.325
Teacher spread0.300 · 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
Published2025
Admission routes2
Has abstractyes

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