Abundant non-inclusion α-synuclein pathology in Lewy body-negative LRRK2-mutant cases
Bibliographic record
Abstract
Lewy body diseases are common neurodegenerative diseases, including Parkinson's disease (PD) and dementia with Lewy bodies, which lead to both motor and non-motor symptoms. They are neuropathologically characterized by loss of neuromelanized neurons in the substantia nigra pars compacta and α-synuclein-immunopositive inclusions (Lewy bodies) in several types of neurons in the brain. A fraction of monogenic PD cases, however, represent a conundrum, as they can present with clinical Lewy body disease but do not have Lewy bodies upon neuropathological examination. For LRRK2, the presence or absence of Lewy bodies is not related to any specific mutation in the gene and different clinical presentation and neuropathology can be present even in the same family. Here, we present the first evidence of widespread α-synuclein accumulation detected with proximity ligation assay (PLA) using the MJFR14-6-4-2 antibody in six Lewy body-negative LRRK2 cases and compare the levels with five patients with neuropathologically verified Lewy body disease and six healthy controls. We show that non-inclusion aggregated α-synuclein in the form of particulate PLA signal is dominant in the LRRK2 cases, while both Lewy-like and particulate PLA signal is found in late-stage Lewy body disease. Furthermore, LRRK2 cases displayed prominent particulate PLA signal in pontocerebellar tracts and inferior olivary nuclei in the brainstem, which was not seen in idiopathic Lewy body disease cases. These results suggest that Lewy-body negative LRRK2-related PD is not associated with a lack of α-synuclein aggregation in neurons but rather a deficiency in the formation of inclusions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".