Intranuclear Rodlets in the Substantia Nigra: Interactions with Marinesco Bodies, Ubiquitin, and Promyelocytic Leukemia Protein
Bibliographic record
Abstract
There is growing appreciation that the nucleus is organized into an array of discrete structural domains, each subserving a specific function. These functional nuclear bodies are to be distinguished from pathological intranuclear inclusions which have been described in a variety of neurodegenerative diseases. Marinesco bodies (MBs) are eosinophilic ubiquitinated intranuclear inclusions found in pigmented neurons of the human substantia nigra and locus coeruleus. Traditionally considered non-pathological entities, more recent studies have indicated that MBs are associated with the age-associated degenerative changes in the substantia nigra and striatal loss of dopaminergic terminals. In the present morphological study of the human substantia nigra, we demonstrate colocalization, contiguity, and focally shared immunoreactivity between MBs and neuronal intranuclear rodlets (INRs). The latter nuclear structures of uncertain function are markedly decreased in the cortex of Alzheimer's disease, but not dementia with Lewy bodies. In addition, we demonstrate an interaction between INRs and promyelocytic leukemia (PML) protein, the signature protein of PML nuclear bodies. These results suggest that structures which subserve the functional compartmentalization of the neuronal nucleus may be relevant to elucidating cellular mechanisms of age-related motor dysfunction.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".