Microtubule-associated tau protein positive neuronal and glial inclusions in ALS
Bibliographic record
Abstract
BACKGROUND: The authors compared tau protein deposition in the frontal cortex of patients with cognitive impairment of amyotrophic lateral sclerosis (ALSci) (n = 6), cognitively intact patients with ALS (n = 6), and age-matched controls (n = 6) in order to determine the pathologic substrate of ALSci. METHODS: Archival paraffin-embedded tissue was examined using Gallyas staining and immunostaining for tau-1 (phosphorylation-dependent tau epitope), tau-2 (phosphorylation independent), Alzheimer-specific tau phosphoepitopes (AT 8; ser(396) phosphorylation), beta-amyloid, glial fibrillary acid protein, SMI 31 (recognizing phosphorylated NFH), alpha-synuclein, or ubiquitin. RESULTS: Tau immunoreactive astrocytic and dense neuronal inclusions were found in both ALS and ALSci, although to a greater extent in ALSci. Superficial linear spongiosis and Gallyas-positive intraneuronal aggregates, immunoreactive with tau-1 and AT 8 but rarely to ser(396) tau, were unique to ALSci. Dense extracellular aggregates were observed by both Gallyas staining and tau-1 immunostaining. Tufted degenerating astrocytes containing tau-1 and AT 8 immunoreactive aggregates and, rarely, dense Gallyas positive neuritic plaques immunoreactive with tau-1 and AT 8, but not with ser(396) tau or beta-amyloid, were observed in ALSci. Tau positive glial coiled bodies were observed in the deep cortical layers and adjacent subcortical white matter in ALSci. Although 3R and 4R tau mRNA isoforms were expressed to similar levels in the frontal cortex of all cases, the total amount of tau mRNA was increased in both ALS and ALSci. Both gray and white matter soluble tau protein expression was similar among control, ALS, and ALSci cases. CONCLUSIONS: Cognitive dysfunction in ALS may reflect abnormal tau protein metabolism.
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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 | 0.001 | 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".