Possible Involvement of Transthyretin in Hippocampal β-Amyloid Burden and Learning Behaviors in a Mouse Model of Alzheimer’s Disease (TgCRND8)
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive memory loss, possibly triggered by the accumulation of beta-amyloid (Abeta) peptides and the hyperphosphorylation of Tau neurofilament protein. Recent findings have shown that transthyretin (TTR) is a potent scavenger of Abeta peptide deposits, suggesting a possible neuroprotective role for TTR in neurodegenerative processes associated with amyloidogenesis, such as AD. METHODS: To investigate the relationship between TTR and Abeta deposition, we crossed mouse carrying a deletion of TTR (TTR(- or -)) with a transgenic mouse model of AD (TgCRND8), and Abeta burden and spatial learning capacities were evaluated at 4 and 6 months of age (exclusion of the 6 month-old TgCRND8/TTR(- or -) group due to low survival rate). RESULTS: Rather surprisingly, Abeta plaque burden was significantly reduced in the hippocampus of 4-month-old TgCRND8/TTR(+ or -), and to a lesser extent in TgCRND8/TTR(- or -), as compared to age-matched TgCRND8/TTR(+ or +). No difference in plaque burden was found between any groups in 6-month-old animals. At 4 and 6 months of age, all populations of these hybrid transgenic mice displayed similar magnitude of spatial memory deficits in the Morris water maze task. CONCLUSION: Since TgCRND8 mice represent an aggressive model of Abeta deposition with plaques developing as early as 3 months of age, along with spatial learning deficits, it may be already too late at 4 and 6 months of age to observe significant changes due to the deletion of the TTR gene.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it