Absence of elevated anti–α-synuclein and anti-EBV latent membrane protein antibodies in PD
Bibliographic record
Abstract
We recently demonstrated that commercially available monoclonal antibodies generated against the latent membrane protein 1 (LMP1) of Epstein–Barr virus (EBV) cross-react with the neuronal protein α-synuclein.1 LMP1 is a virally encoded protein expressed during EBV latency. Up to 22% of healthy EBV-seropositive individuals generate a humoral immune response against this protein as part of a lifelong immune surveillance of EBV.2,3⇓ Whether this cross-reaction has any biological relevance remains to be determined. There is growing evidence for a primary role of α-synuclein aggregation in the pathogenesis of PD.4 Insoluble α-synuclein filaments accumulate in brains of patients with PD. Recombinant α-synuclein protein can assemble in elongated filaments with ultrastructural features similar to those of Lewy body filaments observed in situ. In light of this as well as the fact that EBV latently infects approximately 90% of the human population worldwide and represents the target of a lifelong immune response, we were interested in exploring the possibility that molecular mimicry between EBV (and specifically the LMP1 protein) and α-synuclein could be involved in the pathogenesis or progression of …
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".