Myelin pathology is a key feature of X-linked Dystonia Parkinsonism
Bibliographic record
Abstract
X-linked Dystonia-Parkinsonism (XDP) is a progressive, adult-onset neurodegenerative movement disorder that predominantly affects males of Filipino descent 1-3 . The disease is caused by the insertion of a SINE-VNTR-Alu subfamily F (SVA_F) retrotransposon within an intron of the TATA-box binding protein-associated factor 1 ( TAF1 ) gene 4 . A major barrier to understanding the pathophysiology of XDP has been the lack of relevant animal models. Here, we introduce a novel conditional humanized XDP mouse model harboring a hybrid mouse-human Taf1 / TAF1 gene (hy TAF1 ) containing the pathogenic SVA_F insertion. We activated the hy TAF1 in Nestin+ neural progenitor cells and found that the resulting XDP male mice recapitulate features of the human disease including severe motor impairment, striatal atrophy, and reactive gliosis. Transcriptomic, histological, and electron microscopy analysis revealed a dramatic reduction in oligodendrocyte lineage cells and widespread myelin disruption. Consistent with these findings, postmortem brain tissue from XDP patients revealed similar myelin pathology, including near-complete loss of myelin in parts of the medial prefrontal cortex. Together, these results identify oligodendrocyte dysfunction and myelin loss as previously unrecognized contributors to XDP pathogenesis, providing new mechanistic insight into this debilitating disorder.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".