Bibliographic record
Abstract
Alzheimer's disease (AD) is an age-related neurodegenerative condition associated with cognitive decline. The pathological hallmark of this disease is the deposition of β-amyloid protein plaques (Aβ) in the brain, which evoke neuronal cell death and impair inter-neuronal communication. Past studies have suggested that cannabinoids reduce the levels of Aβ in the brain; however, little is known about the mechanisms involved in this process. In this study, the SH-SY5Y cell line was first examined for expression of amyloid precursor protein (APP), beta-site APP cleaving enzyme 1 (BACE1), and apolipoprotein E (ApoE), genes involved in Aβ production and clearance. All three genes were expressed and detected in the cell line. We then observed the effects of the endocannabinoid anandamide, a CB1 receptor agonist, on the mRNA expression of APP, BACE1, and ApoE in SH-SY5Y cells. After 48h exposure to anandamide, mRNA levels of APP and BACE1 significantly decreased, which could contribute to reduced Aβ levels. The mechanism of action by which anandamide reduces mRNA levels of APP and BACE1 should be further investigated. ApoE mRNA levels were not found to be significantly changed, suggesting that anandamide does not affect mRNA expression of this gene. The effects of cannabinoids on ApoE levels should be further studied as the effects may occur at a level different from mRNA expression and may even occur via a pathway unrelated to CB1 receptor activation. Keywords: Alzheimer’s disease; β-amyloid; anandamide; amyloid precursor protein; beta-site APP cleaving enzyme 1; apolipoprotein E
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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) | 0.000 | 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) | 0.001 | 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".