Minocycline inhibits neuronal death and glial activation induced by β‐amyloid peptide in rat hippocampus
Bibliographic record
Abstract
Minocycline, a second-generation tetracycline compound, has been examined as a neuroprotectant in beta-amyloid (A beta)-injected rat hippocampus. At 7 days post-injection, A beta(1-42) caused a significant loss of granule cell layer neurons (28% reduction) compared to control uninjected hippocampus. Hippocampal injection of A beta peptide also led to marked gliosis with numbers of microglia (increased by 26-fold) and immunoreactivity of astrocytes (increased by 11-fold) relative to control, as determined from immunohistochemical analysis. Intraperitoneal administration of minocycline significantly reduced neuronal loss induced by A beta(1-42) (by 80%) and also diminished numbers of microglia (by 69%) and astrocytes (by 36%) relative to peptide alone. Peptide injection increased expression of cyclooxygenase-2 (COX-2) in most (about 70%) of granule cells, a subset (about 20%) of microglia, but not in astrocytes; in the presence of minocycline, COX-2 immunostaining was abolished in microglia. The results from this study suggest that minocycline may have efficacy in the 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) | 0.001 | 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 | 0.000 |
| 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".