Serial changes in regional cerebral blood flow in Gerstmann–Sträussler–Scheinker disease caused by a Pro-to-Leu mutation at codon 105 in the prion protein gene
Bibliographic record
Abstract
Gerstmann-Sträussler-Scheinker disease with a Pro-to-Leu substitution at codon 105 in the prion protein gene (GSS-P105L) is a rare variant of human genetic prion disease. Herein, we report the case of a patient with GSS-P105L, who showed serial changes in regional cerebral blood flow (rCBF) on single-photon emission computed tomography (SPECT). A 42-year-old woman, with an affected father presenting with similar symptoms, had a 1-year history of progressive gait disturbance, lower-limb spasticity, and psychiatric symptoms. Genetic analysis confirmed the diagnosis of GSS-P105L. Eleven months after disease onset, brain magnetic resonance imaging (MRI) showed bilateral frontal lobe-dominant cerebral atrophy without hyperintensity on diffusion-weighted imaging (DWI) sequences; meanwhile, SPECT revealed non-specific mild hypoperfusion. Follow-up MRI at 52 months after onset demonstrated progressive frontal lobe-dominant cerebral atrophy without hyperintensity on DWI, while SPECT revealed a marked decrease in rCBF in the bilateral right-dominant frontal lobe. Patients with GSS with a Pro-to-Leu substitution at codon 102 (GSS-P102L) have been reported to exhibit hyperintensity on DWI-MRI and a diffuse decrease in CBF with a mosaic-like pattern on SPECT, which is absent in patients with GSS-P105L, thereby possibly reflecting the differences in pathophysiology between GSS-P102L and GSS-P105L.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".