Aβ plaque deposition and microgliosis following Aβ seeding in AppNL-G-F mice is regionally distinct
Bibliographic record
Abstract
Abstract Background. Alzheimer’s disease (AD) is characterized by the prion-like propagation of amyloid-β (Aβ). However, the role of Ab in cognitive impairment is still unclear. Methods. Two-month-old AppNL-G-F were intracerebrally seeded with three conformationally distinct Aβ seeds. The mice were trained in a multi-model paradigm using multiple behavioural tests. Immunohistochemical techniques were used to assess Ab deposition, microgliosis, and cholinergic tone. Results. Seeding accelerated AD pathology throughout the brain in a region-dependent manner. Microgliosis was elevated in the substantia nigra reticular area. The cholinergic tone was found to be significantly reduced in the medial septal band. No impairment in learning and memory was found. Conclusion. These results suggest seeding accelerates microglial and Ab plaque progression in a regional distinct manner with the seed having no unique effect on behaviour or histological markers.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".