First family with Perry syndrome from Mexico
Bibliographic record
Abstract
Perry syndrome (PS) is a rare autosomal dominant disease characterized by parkinsonism, central hypoventilation, weight loss and depression and is caused by pathogenic mutations in the dynactin subunit 1 (DCTN1) gene (encoding p150glued protein). To date, only two cases have been reported in Latin America, specifically in Colombia and Argentina. The present study, to the best of our knowledge, reports the first recorded Mexican family with PS. The clinical features of the proband and a family history of early parkinsonism led to the suspicion of PS. The pathogenic variant NM_004082:c.212G>A, causing a (p.Gly71Glu) mutation in the p150glued protein, was identified in exon 2 of the DCTN1 gene by exome sequencing, confirming the diagnosis of PS. (p.Gly71Glu) has been previously identified in at least 4 cases of PS from different ethnic backgrounds. Genetic counseling was provided to the available family members. To clarify the impact of the (p.Gly71Glu) variant on the structure and function of the cytoskeleton‑associated protein Gly rich (CAP‑Gly) domain of p150glued, Glu71 mutated CAP‑Gly domains were modeled and compared with the wild‑type. It was hypothesized that the larger and more charged side chain of Glu may induce conformational and electrostatic changes, imposing a conformational restriction on the peptide backbone that would affect interaction with the p150glued protein partners, causing dysfunction in the dynactin protein complex.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".