A specific inhibitor of cholesterol biosynthesis, BM15.766, reduces the expression of β‐secretase and the production of amyloid‐β<i>in vitro</i>
Bibliographic record
Abstract
We have previously shown that statins reduce the production of amyloid-beta (Abeta) by both isoprenoid- and cholesterol-dependent mechanisms. These pathways contribute to the regulation of the dimerisation of BACE into its physiologically active form. Statins reduce cellular cholesterol levels by 20-40%; therefore, it is possible that the remaining cholesterol within the cell may play a significant role in the production of Abeta. Incubation of cells with the specific cholesterol biosynthesis inhibitor BM15.766 together with 50 micromol/L simvastatin and 400 micromol/L mevalonate reduced cellular cholesterol levels in a dose-dependent manner with increasing BM15.766 concentration (r = -0.9736, p = 0.0264). Furthermore, decreases in cellular cholesterol levels correlated with reductions in total Abeta production (r = 0.9683, p = 0.0317). A total of 2.5 micromol/L BM15.766 inhibited the dimerisation of BACE, whilst the expression of BACE monomer was reduced by 5 micromol/L BM15.766. BM15.766 treatment localised BACE predominantly within the Golgi, and reduced total BACE expression per cell. Similar changes were observed in the expression of the Golgi marker golgin-97, suggesting that reduced BACE expression may arise from a decrease in protein trafficking and an increase in degradation. By targeting cholesterol synthesis using specific cholesterol biosynthesis inhibitors, it is possible to reduce Abeta production without reducing protein isoprenylation.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".