Lewy-MSA hybrid fold drives distinct neuronal α-synuclein pathology
Bibliographic record
Abstract
The ordered assembly of α-synuclein protein encoded by SNCA into filaments characterizes neurodegenerative synucleinopathies. Lewy body disease (LBD) shows predominantly neuronal and multiple system atrophy (MSA), predominantly oligodendrocytic α-synuclein pathology affecting subcortical brain structures. Based on cryo-electron microscopy, it was reported that the structures of α-synuclein filaments from LBD differ from MSA and juvenile-onset synucleinopathy (JOS). The rare atypical MSA subtype shows abundant neuronal argyrophilic α-synuclein inclusions in the limbic system. Current concepts indicate that disease entities are characterized by unique protofilament folds. Here we demonstrate that α-synuclein can form a Lewy-MSA hybrid fold, leading to the atypical histopathological form of MSA. Distinct biochemical characteristics of α-synuclein, as demonstrated by protease-sensitivity digestion assay, seed amplification assays (SAAs), and conformational stability assays (CSA), are also linked to cytopathological differences. We expand the current structure-based classification of α−synucleinopathies and propose that cell-specific protein pathologies can be associated with distinct filament folds. Structural and biochemical analyses reveal Lewy-MSA hybrid α-synuclein filament fold in atypical pathological variant of MSA, linking distinct neuronal cytopathology to unique filament conformations and expanding structure-based classification.
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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 | 0.000 |
| 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) | 0.000 | 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".