Synaptic changes in frontotemporal lobar degeneration: correlation with MAPT haplotype and APOE genotype
Bibliographic record
Abstract
AIMS: This immunohistochemical study quantified synaptic changes (synaptophysin and SNAP-25) in the frontal lobe of subjects with frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD), and related these to APOE genotype and MAPT haplotype. METHODS: Frontal neocortex (BA9) of post mortem brains from subjects with FTLD (n = 20), AD (n = 10) and age-matched controls (n = 9) were studied immunohistochemically for synaptophysin and SNAP-25. RESULTS: We report that patients with FTLD have a significant increase in synaptophysin and depletion in SNAP-25 proteins compared to both control subjects and individuals with AD (P < 0.001). The FTLD up-regulation of synaptophysin is disease specific (P < 0.0001), and is not influenced by age (P = 0.787) or cortical atrophy (P = 0.248). The SNAP-25 depletion is influenced by a number of factors, including family history and histological characteristics of FTLD, APOE genotype, MAPT haplotype and gender. Thus, more profound loss of SNAP-25 occurred in tau-negative FTLD, and was associated with female gender and lack of family history of FTLD. Presence of APOEε4 allele and MAPT H2 haplotype in FTLD had a significant influence on the expression of synaptic proteins, specifically invoking a decrease in SNAP-25. CONCLUSIONS: Our results suggest that synaptic expression in FTLD is influenced by a number of genetic factors which need to be taken into account in future neuropathological and biochemical studies dealing with altered neuronal mechanisms of the disease. The selective loss of SNAP-25 in FTLD may be closely related to the core clinical non-cognitive features of the disease.
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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 | 0.000 | 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) | 0.001 | 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".