Minimal change multiple system atrophy: An aggressive variant?
Bibliographic record
Abstract
BACKGROUND: Glial cytoplasmic inclusions containing α-synuclein are the pathological hallmark of multiple system atrophy (MSA). Minimal change (MC-MSA) is an unusual MSA subtype with neuronal loss largely restricted to the substantia nigra and locus coeruleus. METHODS: Immunohistochemistry on selected brain regions and semiquantitative assessment were performed on six MC-MSA and eight MSA control cases. RESULTS: More neuronal cytoplasmic inclusions were seen in the caudate and substantia nigra in MC-MSA than in MSA controls (P = 0.002), without any statistical difference in glial cytoplasmic inclusion load in any region. Severe glial cytoplasmic inclusion load was found in the ventrolateral medulla (P = 1.0) and nucleus raphe obscurus (P = 0.4) in both groups. When compared with MSA controls, the three MC-MSA cases who had died of sudden unexpected death had an earlier age of onset (mean: 38 vs. 57.6 y, P = 0.02), a numerically shorter disease duration (mean: 5.3 vs. 8 y, P = 0.2) and a more rapid clinical progression with most of the clinical milestones reached within 3 y of presentation, suggesting an aggressive variant of MSA. Another three MC-MSA cases, who had died of unrelated concurrent diseases, had an age of onset (mean: 57.7 y) and temporal course similar to controls, had less severe neuronal loss and gliosis in the medial and dorsolateral substantia nigra subregions (P < 0.05) than in MSA controls, and could be considered as a unique group with interrupted pathological progression. Significant respiratory dysfunction and early orthostatic hypotension were observed in all MC-MSA cases. CONCLUSIONS: Our findings could suggest that α-synuclein-associated oligodendroglial pathology may lead to neuronal dysfunction sufficient to cause clinical symptoms before overt neuronal loss in MSA. © 2015 International Parkinson and Movement Disorder Society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".