Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease
Bibliographic record
Abstract
Although genetic factors play a main role in determining the risk of developing Alzheimer’s disease (AD), they do not explain extensive spectrum of clinicopathological phenotypes. Deposits of aggregated TAU proteins are one of the main predictors of cognitive decline in AD. We investigated the hypothesis that variabilities in AD progression could be due to diverse structural assemblies (strains) of TAU protein. Using sensitive biophysical methods in 40 patients with AD and markedly different disease durations, we identified populations of distinct TAU particles that differed in size, structural organization, and replication rate in vitro and in cell assay. The rapidly replicating, distinctly misfolded TAU conformers found in rapidly progressive AD were composed of ~80% misfolded four-repeat (4R) TAU and ~20% of misfolded 3R TAU isoform with the same conformational signatures. These biophysical observations suggest that distinctly misfolded population of 4R TAU conformers drive the rapid decline in AD and imply that effective therapeutic strategies might need to consider not a singular species but a cloud of differently misfolded TAU conformers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".