α-Synuclein and Lewy pathology in Parkinson's disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: The role of protein aggregates, such as Lewy body inclusions, in the molecular pathogenesis of Parkinson's disease has remained controversial and elusive. The protein α-synuclein is a major component of these inclusions but it can exist in many alternate conformations. Here we review advances in our understanding of the roles of Lewy pathology and α-synuclein in Parkinson's disease. RECENT FINDINGS: Recent work has demonstrated that certain α-synuclein conformations are directly toxic to neurons and may also propagate Lewy pathology within the nervous system. Investigation into clinicopathological correlates in rare genetic forms of Parkinson's disease has revealed that Lewy pathology is associated with nonmotor features but may not contribute to motor symptoms in Parkinson's disease. SUMMARY: These recent findings open up new avenues of investigation into the molecular pathogenesis of Parkinson's disease. Future work will need to identify the most toxic conformations of α-synuclein and define their relationship to Lewy pathology. This work will be necessary to be able to develop novel therapeutic strategies that target specific pathogenic forms of α-synuclein for disease modification in Parkinson's disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".