Deficiency of the histone lysine demethylase KDM5B causes autism-like phenotypes via increased NMDAR signalling
Bibliographic record
Abstract
Abstract Loss-of-function mutations in genes encoding lysine methyltransferases (KMTs) and demethylases (KDMs) responsible for regulating the trimethylation of histone 3 on lysine 4 (H3K4me3) are associated with neurodevelopmental conditions, including autism spectrum disorder and intellectual disability. To study the specific role of H3K4me3 demethylation, we investigated neurodevelopmental phenotypes in mice without KDM5B demethylase activity. These mice exhibited autism-like behaviours and increased brain size. H3K4me3 levels and the expression of neurodevelopmental genes were increased in the developing Kdm5b mutant neocortex. These included elevated expression of Grin2d . The Grin2d gene product NMDAR2D was increased in synaptosomes isolated from the Kdm5b -deficient neocortex and treating mice with the NMDAR antagonist memantine rescued deficits in ultrasonic vocalisations and reduced repetitive digging behaviours. These findings suggest that increased H3K4me3 levels and associated Grin2d gene upregulation disrupt brain development and function, leading to socio-communication deficits and repetitive behaviours, and identify a potential therapeutic target for neurodevelopmental disorders associated with KDM5B deficiency. Teaser Inhibitors targeting NMDA receptors may represent viable therapies for KDM5B neurodevelopmental disorders
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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 | 0.000 | 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".