Opposing effects of histone H2A.Z on memory, transcription and pathology in male and female Alzheimer’s disease mice and patients
Bibliographic record
Abstract
Abstract Alzheimer’s disease (AD) is a devastating neurodegenerative disease that disproportionately impacts women, but underlying mechanisms for sex-divergent outcomes are unknown. Here, we show that the histone variant H2A.Z is a novel sex-specific regulator of AD in human patients and AD model mice. Specifically, H2A.Z binding in chromatin declines in female and increases in male AD patients, indicating opposite patterns of AD-related H2A.Z dysregulation each sex. These sex differences were recapitulated in the 5xFAD model of AD, in which females accumulated H2A.Z at early disease stages and lost H2A.Z as the disease progressed, suggesting that H2A.Z occupancy shifts with advancing disease. Males showed no change in H2A.Z binding in early disease, but exhibited increased binding as disease progressed, albeit to a lesser extent than females. Consistent with sex-specific H2A.Z dysregulation, H2A.Z depletion produced sex-specific changes in gene expression, whereby H2A.Z was more repressive in female than in male mice and in 5xFAD than in WT males, suggesting that H2A.Z’s role in transcription varies with sex and disease. Moreover, H2A.Z depletion improved memory and AD pathology in females, while impairing memory and worsening pathology in male mice. Together, these data suggest that H2A.Z is protective in males and detrimental in females with AD, with key implications for sex-specific therapeutic targeting of chromatin factors.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".