Adult hippocampal neurogenesis: Another target of scylloinositol treatment?
Bibliographic record
Abstract
The aim of this study is to determine the effect of scyllo‐inositol, an anti‐amyloid‐beta peptide aggregation compound, on adult hippocampal neurogenesis in the TgCRND8 model of Alzheimers disease. Bromodeoxyuridine was used to label dividing cells in the hippocampus of adult TgCRND8 mice. The phenotype of newly dividing cells was assessed by staining for bromodeoxyuridine, doublecortin (an early neuron marker) and glial fibrillary acidic protein (an astrocyte marker). The survival of the newborn hippocampal cells was assessed 21 days later by staining for bromodeoxyuridine, neuronal nuclei (a mature neuron marker) and glial fibrillary acidic protein. scyllo‐Inositol increased the percentage of newborn cells in the hippocampus of TgCRND8 mice expressing doublecortin compared to non‐treated TgCRND8 mice. Further, scyllo‐inositol increased the survival of newborn hippocampal neurons in TgCRND8 mice compared to non‐treated TgCRND8 mice. These findings provide an alternative mechanism for the previously observed improved cognition in scyllo‐inositol treated TgCRND8 mice; therefore highlighting adult hippocampal neurogenesis as a potential target for Alzheimers disease therapy.
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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 | 0.001 |
| 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".