Tau phosphorylation at threonine‐175 leads to fibril formation and enhanced cell death: implications for amyotrophic lateral sclerosis with cognitive impairment
Bibliographic record
Abstract
Although amyotrophic lateral sclerosis (ALS) can be associated with cognitive impairment (ALSci) as a reflection of frontotemporal lobar degeneration, the basis of this process is unknown. The observation of neuronal and extraneuronal tau deposition in ALSci in addition to a unique tau phosphorylation at Thr175 has suggested that ALSci can be associated with alterations in tau metabolism. We have examined the association between phosphorylation at Thr175 and tau fibril formation. Both soluble and insoluble tau was purified from control, patients with Alzheimer's disease (AD), ALS without cognitive impairment, and ALSci and the tendency to fibril formation assayed ex vivo using the thioflavin S fluorescence assay. The extent of fibril formation was significantly greater in tau derived from ALSci, with ALS-derived tau being intermediate between control and AD-derived tau. Using both Neuro2A and human embryonic kidney (HEK293T) cells, we expressed full-length tau constructs harboring either a pseudophosphorylation at Thr175 (Thr175-Asp-tau), inhibition of Thr175 phosphorylation (Thr175-Ala-tau) or intact tau (wild-type tau). Both tau fibril formation and cell death were significantly enhanced in the presence of Thr175-Asp-tau, regardless of the tau isoform, suggesting that phosphorylation of Thr175 is associated with tau fibril formation in ALSci.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".