Early-Onset Parkinson Mutation Remodels Monomer–Fibril Interactions to Allosterically Amplify Synuclein’s Amyloid Cascade
Bibliographic record
Abstract
Alpha synuclein (αS) aggregates are the main component of Lewy bodies (LBs) associated with Parkinson's disease (PD). A longstanding question about αS and PD pertains to the autosomal dominant E46K αS mutant, which leads to the early onset of PD and LB dementias. The E46K mutation not only promotes αS aggregation but also stabilizes αS monomers in "closed" conformers, which are compact and aggregation-incompetent. Hence, the mechanism of action of the E46K mutation is currently unclear. Here, we show that αS monomers harboring the E46K mutation exhibit more extensive interactions with fibrils compared to those of WT. Such monomer-fibril interactions are sufficient to allosterically drive transitions of αS monomers from closed to open conformations, enabling αS aggregation. We also show that E46K promotes head-to-tail monomer-monomer interactions in early self-association events. This multipronged mechanism provides a new framework to explain how the E46K mutation and possibly other αS variants trigger early-onset PD.
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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 | 0.001 |
| 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".