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Record W4413374705 · doi:10.1038/s41398-025-03551-9

CDK5-mediated hyperphosphorylation of Tau217 impairs neuronal synaptic structure and exacerbates cognitive impairment in Alzheimer’s disease

2025· article· en· W4413374705 on OpenAlexaff
Kangyue Fu, Nan Lin, Yiwen Xu, En Huang, Raoli He, Zhixin Wu, Dianbo Qu, Xiaochun Chen, Tianwen Huang

Bibliographic record

VenueTranslational Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Ottawa
FundersFujian Medical UniversityNatural Science Foundation of Fujian ProvinceNational Natural Science Foundation of China
KeywordsNeuroscienceHyperphosphorylationDiseasePsychologySchizophrenia (object-oriented programming)Cognitive impairmentCyclin-dependent kinase 5Alzheimer's diseaseCognitionMedicinePsychiatryBiologyInternal medicinePhosphorylation

Abstract

fetched live from OpenAlex

Numerous studies have demonstrated that tau phosphorylated at threonine 217 (p-T217) in cerebrospinal fluid (CSF) or plasma is a potential biomarker for Alzheimer's disease (AD). However, the detailed pathological effects of elevated p-T217 and the mechanisms underlying T217 phosphorylation remain incompletely understood. In this study, we revealed a role of tau phosphorylated at T217 in AD. In 5 × FAD mice, increased p-T217 levels, correlated with CDK5 activation, were associated with neurite damage and neuronal apoptosis. Mice expressing a phospho-mimetic T217E mutant in the hippocampus exhibited significant learning impairments in the Morris water maze and Y-Maze test, along with reduced levels of the synaptic proteins Drebrin and PSD95. Electron microscopy revealed severe synaptic and microtubules damage in these mice, along with disrupted axonal structures confirmed by Golgi staining. Additionally, hyperactivation of CDK5 through p25 overexpression increased T217 phosphorylation, whereas CDK5 inactivation reduced it. The study concludes that CDK5 mediated Tau phosphorylation at T217 contributes to synaptic damage and cognitive deficits, highlighting it as a potential therapeutic target for AD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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.

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

Citations8
Published2025
Admission routes1
Has abstractyes

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