The active form of glycogen synthase kinase-3? is associated with granulovacuolar degeneration in neurons in Alzheimer's disease
Bibliographic record
Abstract
Glycogen synthase kinase-3beta (GSK-3beta) is a physiological kinase for tau and is a candidate protein kinase involved in the hyperphosphorylation of tau present in paired helical filament (PHF)-tau of neurofibrillary tangles (NFT) in Alzheimer's disease (AD). GSK-3beta is also a key element of several signaling cascades (including cell death cascades). We have investigated the immunocytochemical localization of GSK-3 immunoreactivity in AD. Neurons exhibiting strongly GSK-3-immunoreactive granules were observed in AD, with a much higher frequency than in control subjects. This immunoreactivity was found to co-localize with the granulovacuolar degeneration (GVD) and to be associated with the granules of the granulovacuolar bodies. The GVD granules showed a strong GSK-3alpha and GSK-3beta immunoreactivity, and this immunoreactivity was abolished by preabsorption with recombinant GSK-3. In addition, the GVD immunoreactivity was observed with an antibody against the tyrosine-phosphorylated and active form of GSK-3. Some granules of the granulovacuolar degeneration were also intensely labeled with an antibody specific for tau isoforms containing insert 1 (exon 2) and with antibodies specific for tau phosphorylated on Ser262 and for tau phosphorylated on Thr212/Ser214, two phosphorylation sites generated in vitro by GSK-3alpha and beta. GSK-3beta was expressed in neurons containing NFT but only a small proportion of intracellular NFT were observed to be GSK-3beta immunoreactive. Immunoblotting analysis of fractions enriched in PHF-tau did not reveal any GSK-3beta immunoreactivity in these fractions, indicating that GSK-3beta was only loosely associated to NFT. These results suggest that neurons developing GVD sequester an active, potentially deleterious, form of GSK-3 in this compartment and that increased GSK-3 immunoreactivity in a subset of neurons quantitatively differentiates normal aging from AD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".