Neuropathology of Perry Syndrome: Evidence of Medullary and Hypothalamic Involvement
Bibliographic record
Abstract
BACKGROUND: Perry syndrome is a rare genetic parkinsonian disorder with TAR DNA binding protein 43 (TDP-43) pathology clinically presenting with parkinsonism, neuropsychiatric features, weight loss, and central hypoventilation. As respiratory complications are often the cause of death, studies likely show the early stage of the neurodegenerative process. Because of the rarity of this condition, few studies exist, and each case provides insight into pathological findings in this neurodegenerative condition. OBJECTIVE: To study the clinical and pathological correlations of an autopsy case of Perry syndrome. METHODS: gene mutation. Between October 2016 and July 2019, she underwent postmortem and pathological examination at University Hospital in London, Ontario, Canada. Data were obtained through clinical pathological examination. RESULTS: Microscopy showed significant neuronal loss with pigmentary incontinence and gliosis in the substantia nigra. There was no atrophy elsewhere, including the frontal and cingulate cortex. Intraneuronal cytoplasmic TDP-43 inclusions and neurites were noticed in a moderate number in the substantia nigra and midbrain and were sparsely noticed in the basal ganglia, thalamus, thoracic motor neuron, posterior nucleus of the hypothalamus, and rostral ventral medulla. β-Amyloid, Lewy body, and tau pathologies were absent. Rare axonal swelling was identified at the rostral ventrolateral medulla. CONCLUSIONS AND RELEVANCE: This study confirms that Perry syndrome is characterized by TDP-43 pathology with absent Lewy bodies or tau pathology. These findings support the hypothesis of dysfunctional neurons in the medulla and hypothalamus, which may respectively correlate to the clinical symptoms of hypoventilation and weight loss in Perry syndrome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".