Aggregation of Microtubule Binding Repeats of Tau Protein is Promoted by Cu<sup>2+</sup>
Bibliographic record
Abstract
Abstract Understanding the factors that give rise to tau aggregation and reactive oxygen species (ROS) is the key aspect in Alzheimer’s disease pathogenesis. Microtubule (MT) binding repeats of tau protein were suggested to play a critical role in tau aggregation. Here, we show that the interaction of Cu2+ with full-length MT binding repeats R1–R4 leads to the aggregation, and a Cys-based redox chemistry is critically involved in tau aggregation leading to disulfide-bridge dimerization of R2 and R3 and further aggregation into a fibrillar structure. Notably, ascorbate and glutathione, the most abundant antioxidants in neurons, cannot prevent the effect of Cu2+ on R2 and R3 aggregation. Detailed ESI-MS and NMR experiments demonstrate the interaction of Cu2+ with MT binding repeats. We show that redox activity of copper increases when bound to the MT repeats leading to ROS formation, which significantly contribute to cellular damage and neuron death. Results presented here provide new insights into the molecular mechanism of tau aggregation and ROS formation and suggest a new target domain for tau aggregation inhibitors.
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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) | 0.002 | 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".