Subpial Thorn-shaped Astrocytes Are Prevalent In Guam ALS/PDC
Bibliographic record
Abstract
Guam amyotrophic lateral sclerosis/parkinsonism-dementia complex is a progressive neurodegenerative disorder characterized by neuronal and glial tau pathologies. With the aim to evaluate aging-related tau astrogliopathy (ARTAG) we examined the collection at the University of Pennsylvania, consisting of blocks of the frontal parietal, temporal, and occipital cortices. Formalin fixed, paraffin-embedded tissue blocks were evaluated using anti-tau antibodies PHF-1 and AT8. In addition to neuronal and oligodendroglial tau pathology, granular/fuzzy astrocytes in the gray matter and thorn-shaped astrocytes (TSAs) in subpial location were also observed. Twenty-one out of 33 cases (63%) showed subpial TSAs diffusely along the cortical surface in one or more cortical regions. Accumulation of TSAs in the depth of the sulci were seen in 41% in the temporal, 7% in the frontal and 14% in parietal cortex. This was not associated with perivascular neuronal tau pathology in the depth of the sulci. Accumulation of TSAs in the depth of cortical sulci in this cohort is approximately 20 times more frequent than reported in a European aging cohort. The presence of subpial TSAs in the depth of cortical sulci in CTE and Guam PDC, and less frequently in aging brains, might suggest common mechanisms. Learning Objectives Describe the spectrum of neuropathology in Guam ALS/PDC Describe the frequency of tau positive cortical subpial thorn-shaped astrocytes
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".