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Record W4412470496 · doi:10.1038/s41593-025-01992-5

Evidence for trans-synaptic propagation of oligomeric tau in human progressive supranuclear palsy

2025· article· en· W4412470496 on OpenAlexaff
Robert I. McGeachan, Lois Keavey, Elizabeth Simzer, Ya Yin Chang, Jamie Rose, Maxwell P Spires-Jones, Kristján Holt, S. Meftah, Natalia Ravingerova, Cristina Scutariu, Lewis W. Taylor, Declan King, Makis Tzioras, Jane Tulloch, Sam A. Booker, Imran Liaquat, Nicole Hindley-Pollock, Bethany Geary, Colin Smith, Paul M. Brennan, Claire S. Durrant, Tara L. Spires‐Jones

Bibliographic record

VenueNature Neuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsDiscovery Centre
FundersUK Dementia Research InstituteAlzheimer's SocietyAlzheimer’s Research UKDyson FoundationWellcome TrustWellcome
KeywordsProgressive supranuclear palsyNeurosciencePsychologyBiologyMedicinePathologyDisease

Abstract

fetched live from OpenAlex

In the neurodegenerative disease progressive supranuclear palsy (PSP), tau pathology progresses through the brain in a stereotypical spatiotemporal pattern, and where tau pathology appears, synapses are lost. We tested the hypothesis that pathological tau contributes to synapse loss and may spread through the brain by moving from presynapses to postsynapses. Using postmortem PSP brain samples and a living human brain slice culture model, we observe pathological tau in synaptic pairs and evidence that oligomeric tau can enter live human postsynapses. Proteomics revealed increased clusterin in synapses in PSP, and super-resolution imaging showed clusterin colocalized with tau in synapses in close enough proximity to be binding partners, which may mediate tau spread. Accumulation of tau in synapses correlated with synapse loss, and synaptic engulfment by astrocytes was observed, suggesting that astrocytes contribute to synapse loss. Together, these data indicate that targeting synaptic tau is a promising approach to treat PSP.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.079
GPT teacher head0.422
Teacher spread0.343 · 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 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

Citations21
Published2025
Admission routes1
Has abstractyes

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