Rab7A regulates tau secretion
Bibliographic record
Abstract
The axonal microtubule-associated protein TAU, involved in Alzheimer's disease (AD), can be found in the extracellular space where it could be taken up by neurons, an event that is believed to contribute to the propagation of tau pathology in the brain. Since the small GTPase Rab7A is involved in the trafficking of endosomes, autophagosomes, and lysosomes, and RAB7A gene expression and protein levels are up-regulated in AD patients, we tested the hypothesis that Rab7A was involved in tau secretion. We previously reported that both primary cortical neurons and HeLa cells over-expressing human TAU can release tau. Using these two cellular systems, we demonstrated that Rab7A regulates tau secretion. Upon Rab7A deletion, tau secretion was decreased. Consistent with this, the over-expression of a dominant negative and a constitutively active form of Rab7A decreased and increased tau secretion, respectively. A partial co-localization of tau and Rab7-positive structures in both neurons and HeLa cells indicated that a late endosomal compartment could be involved in its secretion. Collectively, the present data indicate that Rab7A regulates tau secretion and therefore the up-regulation of RAB7A reported in AD, could contribute to the extracellular accumulation of pathological TAU species that could result in the propagation of tau pathology in the AD brain.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".