Loss of Medial Septum Cholinergic Neurons in THY-Tau22 Mouse Model: What Links with tau Pathology?
Bibliographic record
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder histologically defined by the cerebral accumulation of amyloid deposits and neurofibrillary tangles composed of hyperphosphorylated tau proteins. Loss of basal forebrain cholinergic neurons is another hallmark of the disease thought to contribute to the cognitive dysfunctions. To this date, the mechanisms underlying cholinergic neurons degeneration remain uncertain. The present study aimed to investigate the relationship between neurofibrillary degeneration and cholinergic defects in AD using THY-Tau22 transgenic mouse model exhibiting a major hippocampal AD-like tau pathology and hyperphosphorylated tau species in the septohippocampal pathway. Here, we report that at a time THY-Tau22 mice display strong reference memory alterations, the retrograde transport of fluorogold through the septohippocampal pathway is altered. This impairment is associated with a significant reduction in the number of choline acetyltransferase (ChAT)-immunopositive cholinergic neurons in the medial septum. Analysis of nerve growth factor (NGF) levels supports an accumulation of the mature neurotrophin in the hippocampus of THY-Tau22 mice, consistent with a decrease of its uptake or retrograde transport by cholinergic terminals. Finally, our data strongly support that tau pathology could be instrumental in the cholinergic neuronal loss observed 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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".