The Effect of Aβ<sub>1-42</sub> Oligomers on APP Processing and Aβ<sub>1-40</sub> Generation in Cultured U-373 Astrocytes
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Bibliographic record
Abstract
<b><i>Background:</i></b> Amyloid-β (Aβ) peptides are a family of proteins that are considered to be a principal aspect of Alzheimer's disease (AD), the most common cause of senile dementia affecting elderly individuals. These peptides result from the proteolytic processing of amyloid precursor protein (APP) by sequential cleavage mediated via β- and &#947;-secretases. Evidence suggests that an overproduction and/or a lack of degradation may increase brain Aβ levels which, in turn, contribute to neuronal loss and development of AD. <b><i>Objectives:</i></b> In this study, we seek to determine what effect Aβ has on APP processing in cultured astrocytes. <b><i>Methods:</i></b> Using the human astrocytoma cell line U-373, we investigated the effects induced by oligomeric Aβ<sub>1-42</sub> treatment on the cellular levels/expression of APP and its products, C-terminal fragments αCTF and βCTF, and Aβ<sub>1-40</sub>. In conjunction with these experiments, we examined the relative levels and activity of β- and &#947;-secretases in Aβ-treated astrocytes. <b><i>Results:</i></b> We report here that Aβ<sub>1-42</sub> treatment of astrocytes increased the expression of APP and its cleaved products including Aβ<sub>1-40</sub> in a time-dependent manner. <b><i>Conclusions:</i></b> These results suggest that activated astrocytes can contribute to the development of AD by enhancing levels and processing of APP leading to an increased production/secretion of Aβ-related peptides.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it