Enhanced accumulation of phosphorylated α‐synuclein in double transgenic mice expressing mutant β‐amyloid precursor protein and presenilin‐1
Bibliographic record
Abstract
A recent report showed that the accumulation of alpha-synuclein (alpha-syn) was detected in the brains of one-third of Alzheimer's disease and Down syndrome patients. However, the relationship between amyloid-beta protein (Abeta) and alpha-syn remains unclear. We analyzed the relation between the mutation of presenilin-1 (PS-1) and the pathological features of beta-amyloidosis and alpha-synucleinopathy. We generated doubly transgenic mice overexpressing mutant beta-amyloid precursor protein (betaAPP; Tg2576) and mutant PS-1 (PS1L286Vtg; line 198) and analyzed 19 double Tg betaAPP(+)/PS(+) mice at 5-23 months (young to old), 23 age-matched single Tg betaAPP(+)/PS(-) mice, and 11 non-Tg littermates. Immunohistochemical comparison was performed in these three groups by counting the area and the number of alpha-syn- or phosphorylated alpha-syn (palpha-syn)-positive dystrophic neurites per plaque (ASPDN, pASPDN). The acceleration of Abeta pathology was found with earlier onset and exaggerated numbers in double Tg betaAPP(+)/PS(+) compared with single Tg betaAPP(+)/PS(-) mouse brains. The accumulation of ASPDN and pASPDN was also accelerated in double Tg betaAPP(+)/PS(+) compared with single Tg betaAPP(+)/PS(-) mouse brains, especially in pASPDN. The number and area of alpha-syn and palpha-syn, and the ratio of palpha-syn positive neurites were significantly higher in double Tg betaAPP(+)/PS(+) than in single Tg betaAPP(+)/PS(-) mouse brains in middle-aged and old groups. Additional overexpression of mutant PS-1 accelerated Abeta-induced alpha-synucleinopathy and further facilitated the phosphorylation of alpha-syn, suggesting a direct association between mutant PS-1 and phosphorylation of alpha-syn.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".