Postnatal environment affects auditory development and sensorimotor gating in a rat model for autism spectrum disorder
Bibliographic record
Abstract
The homozygous Cntnap2 knockout (KO) rat is a well-established genetic model for neurodevelopmental disorders, exhibiting core features of autism spectrum disorder (ASD), including impaired sensory processing and sensorimotor gating. Recent findings indicate that the severity of ASD-like phenotypes in Cntnap2 KO offspring is influenced by the parental genotype, with more pronounced impairments observed in KO rats bred from homozygous pairs compared to heterozygous pairs (Cntnap2 HET). However, it is unclear to what extent this is due to in utero versus postnatal effects. We, therefore, investigated how early postnatal environmental factors, shaped by differences in parental and littermate genotypes, influence auditory processing and sensorimotor gating in Cntnap2 KO rats. To examine this, we cross-fostered Cntnap2 KO pups bred from Cntnap2 KO rats to be reared with litters of Cntnap2 HET dams. Cross-fostering Cntnap2 KO rats reversed or partially reversed delayed hearing sensitivity maturation, heightened acoustic startle responses, and deficits in prepulse inhibition of the acoustic startle response. However, cross-fostering also exacerbated deficits in the neural responsiveness and conductivity in the auditory brainstem, as well as in gap-induced prepulse inhibition of the acoustic startle response. These results emphasize the importance of considering the postnatal environment and breeding strategies in preclinical genetic models of neuropsychiatric disorders. More importantly, they also demonstrate that ASD-like traits, including alterations in brainstem sensory processing, are not strictly determined by genetic factors, but remain malleable by environmental factors during early postnatal development.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".