Effect of intracranial co-infusion of amyloid beta-protein fragment 1-42 and thiorphan on amyloid beta-protein expression in brain of Macaca mulatta
Bibliographic record
Abstract
OBJECTIVE To observe the change of amyloid beta-protein (Aβ) expression in the Macaca mulatta brain after intracranial co-infusion of Aβ fragment 1-42 (Aβ1-42) and thiorphan. METHODS Four M.mulatta were randomly divided into model group (n=3) and control group (n=1). In model group they had their skulls drilled and infused with thiorphan to the cerebral cortex and basal ganglia to consume the existing neprilysin and then infused with the fibrilla Aβ1-42. For prolonged administration of inhibitor to basal ganglia, a miniosmotic pump was implanted in the M. mulatta brain and kept working for 28 d. The one in control group was injected with saline. By 50 d all the M. mulatta were sacrificed. The expression of Aβ1-42 in hippocampus, basal ganglia and cerebral cortex was observed with immunohistochemical staining. RESULTS The integrated Absorbance (IA) of Aβ1-42 immunostaining in 30 high power fields (×400) of hippocampus, basal ganglia and cerebral cortex of control group was 0.22±0.06,0.20±0.04 and 0.19±0.07, respectively. The Aβ1-42 expressions in hippocampus, basal ganglia and cerebral cortex of 3 M. mulatta in model group were all elevated. The IA of Aβ1-42 immunostaining in hippocampus of each M. mulatta was 0.57±0.05,0.60±0.05 and 0.61±0.05, respectively. In basal ganglia, the IA was 0.62±0.06,0.63±0.05 and 0.65±0.05, respectively. In cerebral cortex, the IA was 0.67±0.06,0.68±0.05 and 0.65±0.07, respectively. CONCLUSION Intracranial co-infusion of Aβ1-42 and thiorphan in the M. mulatta brain causes the increase of Aβ1-42 expression in brain.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".