Modified tau leads to neuronal and global ribosome dysfunction in <i>C. elegans</i> model of tauopathy
Bibliographic record
Abstract
Abstract Alzheimer’s disease (AD) is a neurodegenerative disease characterized by an early loss of memory formation which requires protein synthesis. Tau is an intrinsically disordered protein and is subject to extensive post-translational modifications (PTMs). Some PTMs have been shown to alter localization of tau and allow tau to disrupt protein translation. Protein interactome studies indicate that tau might interact with ribosomal proteins. Therefore, we hypothesized that tau is causing ribosomal dysfunction as an early event and this interaction is dependent on tau’s PTMs. To test this, we used a C. elegans strain expressing single copy insertion of human tau as well as two of the most frequent modified versions of tau in mechanosensory neurons. With our assay to measure translation, we showed that in our T231 phosphorylation mimetic strain, there was a significant decrease in neuronal translation. This mimetic strain also showed a significant decrease in median lifespan and locomotion. Unexpectedly, in all our Tau-expressing strains, we detected a significant decrease in whole worm translation, suggesting a possible role of tau to influence translation in other tissues in worm. Our in vitro , in vivo and ex vivo efforts to demonstrate tau-ribosome association via fluorescent polysome profiling have shown that there is no direct association between tau and the ribosome. Ribosome dysfunction caused by modified tau could be an early event in AD pathology before the pathological hallmarks appear.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".