<i>Atrx</i> deletion in neurons leads to sexually-dimorphic dysregulation of miR-137 and spatial learning and memory deficits
Bibliographic record
Abstract
Abstract Mutations in the ATRX chromatin remodeler are associated with syndromic and non-syndromic intellectual disability. Emerging evidence points to key roles for ATRX in preserving neuroprogenitor cell genomic stability, whereas ATRX function in differentiated neurons and memory processes are still unresolved. Here, we show that Atrx deletion in mouse forebrain glutamatergic neurons causes distinct hippocampal structural defects identified by magnetic resonance imaging. Ultrastructural analysis revealed fewer presynaptic vesicles and an enlarged postsynaptic area at CA1 apical dendrite-axon junctions. These synaptic defects are associated with impaired long-term contextual memory in male, but not female mice. Mechanistically, we identify ATRX-dependent and sex-specific alterations in synaptic gene expression linked to Mir137 levels, a known regulator of presynaptic processes and spatial memory. We conclude that ablation of Atrx in excitatory forebrain neurons leads to sexually dimorphic outcomes on miR-137 and on spatial memory, identifying a promising therapeutic target for neurological disorders caused by ATRX dysfunction. Summary statement Ablation of the ATRX chromatin remodeler specifically in forebrain excitatory neurons of mice causes male-specific deficits in long-term spatial memory associated with miR-137 overexpression, transcriptional changes and structural alterations corresponding to pre- and post-synaptic abnormalities.
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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) | 0.003 | 0.001 |
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".