Butyrylcholinesterase as a Diagnostic and Therapeutic Target for Alzheimer's Disease
Bibliographic record
Abstract
The serine hydrolase butyrylcholinesterase (BChE), like the related enzyme acetylcholinesterase (AChE), co-regulates metabolism of the neurotransmitter acetylcholine. In the human brain BChE is mainly expressed in white matter and glia and in distinct populations of neurons in regions that are important in cognition and behavior, functions compromised in Alzheimer's disease (AD). AD is a neurodegenerative disorder causing dementia with no cure nor means for definitive diagnosis during life. In AD, BChE is found in association with pathology, such as β-amyloid (Aβ) plaques, particularly in the cerebral cortex where BChE is not normally found in quantity. Up to 30% of cognitively normal older adults have abundant Aβ deposition in the brain. We have designed an imaging agent that can detect, through autoradiography, BChE-associated Aβ plaques in the cerebral cortex of AD brains, but does not visualize Aβ plaques in brains of cognitively normal individuals. Furthermore, in an AD mouse model with BChE gene knocked out, there are up to 70% fewer fibrillar Aβ brain plaques, suggesting diminished BChE activity could prove beneficial as a curative approach to AD. To that end, we have examined numerous N-10-carbonyl phenothiazines that are specific inhibitors of human BChE, revealing important details of the enzyme's active site gorge. These phenothiazines can be designed without potential side effects caused by neurotransmitter receptor interactions. In conclusion, BChE is potentially an important target for diagnosis and treatment of AD.
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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 | 0.001 | 0.001 |
| 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".