Widespread deficits in adult neurogenesis precede plaque and tangle formation in the 3xTg mouse model of Alzheimer’s disease
Bibliographic record
Abstract
Alzheimer's disease (AD) affects cognitive modalities that are known to be regulated by adult neurogenesis, such as hippocampal- and olfactory-dependent learning and memory. However, the relationship between AD-associated pathologies and alterations in adult neurogenesis has remained contentious. In the present study, we performed a detailed investigation of adult neurogenesis in the triple transgenic (3xTg) mouse model of AD, a unique model that generates both amyloid plaques and neurofibrillary tangles, the hallmark pathologies of AD. In both neurogenic niches of the brain, the hippocampal dentate gyrus and forebrain subventricular zone, we found that 3xTg mice had decreased numbers of (i) proliferating cells, (ii) early lineage neural progenitors, and (iii) neuroblasts at middle age (11months old) and old age (18months old). These decreases correlated with major reductions in the addition of new neurons to the respective target areas, the dentate granule cell layer and olfactory bulb. Within the subventricular zone niche, cytological alterations were observed that included a selective loss of subependymal cells and the development of large lipid droplets within the ependyma of 3xTg mice, indicative of metabolic changes. Temporally, there was a marked acceleration of age-related decreases in 3xTg mice, which affected multiple stages of neurogenesis and was clearly apparent prior to the development of amyloid plaques or neurofibrillary tangles. Our findings indicate that AD-associated mutations suppress neurogenesis early during disease development. This suggests that deficits in adult neurogenesis may mediate premature cognitive decline in AD.
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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) | 0.001 | 0.001 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".