Phospho-tau serine-262 and serine-356 as biomarkers of pre-tangle soluble tau assemblies in Alzheimer’s disease
Bibliographic record
Abstract
Abstract Patients with Alzheimer’s disease (AD) with little or no quantifiable insoluble brain tau neurofibrillary tangle (NFT) pathology demonstrate stronger clinical benefits of therapies than those with advanced NFTs. The formation of NFTs can be prevented by targeting the intermediate soluble tau assemblies (STAs). However, biochemical understanding and biomarkers of STAs are lacking. We show that Tris-buffered saline-soluble tau aggregates from autopsy-verified AD brain tissues include the core sequence ~tau 258–368 . In neuropathological assessments, antibodies against the phosphorylation sites serine-262 and serine-356 within the STA core almost exclusively stained granular (that is, prefibrillar) tau aggregates in pre-NFTs while antibodies against phosphorylation at serine-202 and threonine-205 and threonine-231, outside the STA core, stained the entire spectrum of tau aggregates in pre-NFTs and mature NFTs, dystrophic neurites and neuropil threads in the hippocampus. Functionally, a recombinantly produced STA core peptide robustly altered neuronal excitability and synaptic transmission in mouse hippocampal brain slices. Furthermore, we developed a cerebrospinal fluid assay that differentiated STAs in AD from non-AD tauopathies, correlated with the severity of NFT burden and cognitive decline independently of amyloid beta deposition, and with tau positron emission tomography uptake across Braak NFT stages. Together, our findings inform about the status of early-stage tau aggregation, reveal aggregation-relevant phosphorylation epitopes in tau and offer a diagnostic biomarker and targeted therapeutic opportunities for AD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".