Exploring the role of Cav3.2 calcium channels in autism-like cognitive behavior induced by prenatal valproic acid exposure
Bibliographic record
Abstract
Recent findings indicated that CACNA1H mutations may contribute to Autism Spectrum Disorder (ASD) by reducing Cav3.2 activity, disrupting neuronal function, and brain development. To explore how Cav3.2 deficiency affects autism-related cognition, we induced autism-like behaviors in wild-type (WT) and Cav3.2 knockout mice (KO) using the prenatal valproic acid model (pre-VPA). We analyzed how cognitive behavior (repetitive behavior, spatial working memory, sociability, social preference, and anxiety) in this model is differentially impacted in WT and Cav3.2 KO mice of different sexes and ages. In WT mice, pre-VPA increased repetitive behavior and self-grooming (>75 %). In contrast, there was no pre-VPA-induced increase in repetitive behavior in Cav3.2 KO male mice, and there was a reduction in self-grooming in adult KO females (∼40 %). While pre-VPA impaired spatial working memory in wild-type adult mice of both sexes, Cav3.2 KO mice were protected. Pre-VPA also induced sociability and social preference deficits in WT mice of both sexes. Deletion of Cav3.2 rescued sociability deficits in juvenile and adult male but not female mice. In addition, Cav3.2 channels appeared to contribute to social preference impairment in juvenile male KO mice and both sexes in adulthood. Additionally, KO mice exposed to pre-VPA exhibited lower anxiety levels in the elevated plus maze test when compared to KO controls. Together, our results provide new insights into the role of Cav3.2 channels in ASD-related behavior and suggest that these channels contribute to a range of behavioral deficits.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".