Tau hyperphosphorylation and deregulation of calcineurin in mouse models of Huntington's disease
Bibliographic record
Abstract
Huntington's disease (HD) is an autosomal-dominant neurodegenerative disorder caused by polyglutamine expansions in the amino-terminal region of the huntingtin (Htt) protein. At the cellular level, neuronal death is accompanied by the proteolytic cleavage, misfolding and aggregation of huntingtin. Abnormal hyperphosphorylation of tau protein is a characteristic feature of a class of neurodegenerative diseases called tauopathies. As a number of studies have reported tau pathology in HD patients, we investigated whether HD pathology may promote tau hyperphosphorylation and if so tackle some of its underlying mechanisms. For that purpose, we used the R6/2 mouse, a well-characterized model of HD, and analyzed tau phosphorylation before and after the onset of HD-like symptoms. We found a significant increase in tau hyperphosphorylation at the PHF-1 epitope in pre-symptomatic R6/2 mice, whereas symptomatic mice displayed tau hyperphosphorylation at multiple tau phosphoepitopes (AT8, CP13, PT205 and PHF-1). There was no activation of major tau kinases that could explain this observation. However, when we examined tau phosphatases, we found that calcineurin/PP2B was downregulated by 30% in pre-symptomatic and 50% in symptomatic R6/2 mice, respectively. We observed similar changes in tau phosphorylation and calcineurin expression in Q175 mice, another HD model. Calcineurin was also reduced in Q111 compared with Q7 cells. Finally, pharmacological or genetic inhibition of endogenous calcineurin was sufficient to promote tau hyperphosphorylation in neuronal cells. Taken together, our data suggest that mutant huntingtin can induce abnormal tau hyperphosphorylation in vivo, via the deregulation of calcineurin.
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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 | 0.000 |
| 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".