The Role of Exosomes in Spreading Pathology in Synucleinopathies
Bibliographic record
Abstract
Parkinson’s disease, dementia with Lewy bodies and multiple system atrophy are neurodegenerative diseases classified as synucleinopathies due to the accumulation of misfolded and aggregated α-synuclein (α-syn). This misfolded α-syn is implicated in templating the misfolding of additional α-syn in a prion-like manner, contributing to the spread of synuclein pathology between brain regions. A purported mechanism of intercellular α-syn transmission is through small extracellular vesicles called exosomes which are comprised of a lipid bilayer enclosing proteins and nucleic acids. Here, we isolated and characterized exosomes from the brains of synucleinopathy-affected mice and intracerebrally inoculated healthy mice. We demonstrated that exosomes can induce progressive neurological dysfunction which correlates with the accumulation of insoluble and protease resistant α-syn inclusions. Furthermore, we measured peripheral blood α-syn to investigate its potential utility as a biomarker for aberrant α-syn. This work suggests that exosomes can transport α-syn across brain regions contributing to the progression of synucleinopathies.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".