Investigating behavioral phenotypes related to autism spectrum disorder in a gene-environment interaction model of deficiency and Poly I:C maternal immune activation.

INTRODUCTION

Autism Spectrum Disorder (ASD) has been associated with a wide variety of genetic and environmental risk factors in both human and preclinical studies. Together, findings support a gene-environment interaction hypothesis whereby different risk factors independently and synergistically impair neurodevelopment and lead to the core symptoms of ASD. To date, this hypothesis has not been commonly investigated in preclinical ASD models. Mutations in the Contactin-associated protein-like 2 () gene and exposure to maternal immune activation (MIA) during pregnancy have both been linked to ASD in humans, and preclinical rodent models have shown that both MIA and deficiency lead to similar behavioral deficits.

METHODS

In this study, we tested the interaction between these two risk factors by exposing Wildtype, , and rats to Polyinosinic: Polycytidylic acid (Poly I:C) MIA at gestation day 9.5.

RESULTS

Our findings showed that deficiency and Poly I:C MIA independently and synergistically altered ASD-related behaviors like open field exploration, social behavior, and sensory processing as measured through reactivity, sensitization, and pre-pulse inhibition (PPI) of the acoustic startle response. In support of the double-hit hypothesis, Poly I:C MIA acted synergistically with the genotype to decrease PPI in adolescent offspring. In addition, Poly I:C MIA also interacted with the genotype to produce subtle changes in locomotor hyperactivity and social behavior. On the other hand, knockout and Poly I:C MIA showed independent effects on acoustic startle reactivity and sensitization.

DISCUSSION

Together, our findings support the gene-environment interaction hypothesis of ASD by showing that different genetic and environmental risk factors could act synergistically to exacerbate behavioral changes. In addition, by showing the independent effects of each risk factor, our findings suggest that ASD phenotypes could be caused by different underlying mechanisms.