Epigenetic derepression of H3K9me3 mitigates Alzheimer-related pathology and improves cognition via immunomodulation and Vgf induction
Bibliographic record
Abstract
Abstract We investigated the role of histone 3 lysine 9 trimethylation (H3K9me3), an epigenetic mechanism involved in the repression of synaptic plasticity and memory-related genes, within aging and Alzheimer’s disease (AD). Our study reveals that elevated cortical H3K9me3 strongly correlates with cognitive dysfunction in individuals with mild cognitive impairment (MCI) and AD. In old (18 months) and younger (14 months) APPSWE/PS1ΔE9 and 3xTg AD mouse models, inhibiting SUV39H1 methyltransferase with ETP69, substantially reduces cerebral H3K9me3 levels and attenuates amyloid-β burden, tau pathology, and gliosis. Administration of ETP69 further promotes dendritic spine formation, leading to rapid and sustained improvements in cognitive function. Proteomics analysis indicates that a significant proportion of dysregulated proteins in the brains of AD-model mice are reversed by ETP69. These proteins are enriched for synaptic plasticity and learning-related pathways. ETP69 exerts its effects through multiple neuroprotective mechanisms, including regulation of neuroinflammation, induction of both blood and cerebral-infiltrating monocytes involved in cerebral Aβ clearance. Moreover, ETP69 activates brain-derived neurotrophic factor (Bdnf) network, and particularly its downstream effector neurosecretory protein Vgf. These findings support the pharmacological inhibition of H3K9me3-mediated gene silencing to reverse AD-related pathology and cognitive decline.
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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) | 0.002 | 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".