Depletion of nuclear cytoophidia in Alzheimer's disease
Bibliographic record
Abstract
There is considerable evidence for a role for metabolic dysregulation, including disordered purine nucleotide metabolism, in the pathogenesis of Alzheimer's disease (AD). Purine nucleotide synthesis in the brain is regulated with high fidelity to co-ordinate supply with demand. The assembly of some purine biosynthetic enzymes into linear filamentous aggregates called "cytoophidia" (Gk. Cellular "snakes") represents one post-translational mechanism to regulate enzyme activity. Cytoophidia comprised of the nucleotide biosynthetic enzymes inosine monophosphate dehydrogenase (IMPDH) and phosphoribosyl pyrophosphate synthetase (PRPS) have been described in neuronal nuclei (nuclear cytoophidia; NCs). In light of the involvement of purine nucleotide dysmetabolism in AD, the rationale for this study was to determine whether there are disease-specific qualitative or quantitative alterations in PRPS cytoophidia in the AD brain. Double fluorescence immunostaining for PRPS and the neuronal marker MAP2 was performed on tissue microarrays of cores of temporal cortex extracted from post-mortem tissue blocks from a large cohort of participants with neuropathologically confirmed AD, Lewy body disease (LBD), progressive supranuclear palsy, and corticobasal degeneration, as well as age-matched cognitively unimpaired control participants. The latter group included individuals with substantial beta-amyloid deposition. NCs were significantly reduced in frequency in AD samples relative to those from controls, including those with a high beta-amyloid load, or participants with LBD or 4 repeat tauopathies. Moreover, double staining for PRPS and hyperphosphorylated tau revealed evidence for an association between NCs and neurofibrillary tangles. The results of this study contribute to our understanding of metabolic contributions to AD pathogenesis and provide a novel avenue for future studies. Moreover, because PRPS filamentation is responsive to a variety of drugs and metabolites, they may have implications for the development of biologically rational therapies.
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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) | 0.001 | 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".