A two-hit adversity model in developing rats reveals sex-specific impacts on prefrontal cortex structure and behavior

Adversity early in life substantially impacts prefrontal cortex (PFC) development and vulnerability to later-life psychopathology. Importantly, repeated adverse experiences throughout childhood increase the risk for PFCmediated behavioral deficits more commonly in women. Evidence from animal models points to effects of adversity on later-life neural and behavioral dysfunction; however, few studies have investigated the neurobiological underpinnings of sex-specific, long-term consequences of multiple developmental stressors. We modeled early life adversity in rats via maternal separation (postnatal day (P)2-20) and juvenile social isolation (P21-35). In adulthood, anxiety-like behavior was assessed in the elevated zero maze and the presence and structural integrity of PFC perineuronal nets (PNNs) enwrapping parvalbumin (PV)-expressing interneurons was quantified. PNNs are extracellular matrix structures formed during critical periods in postnatal development that play a key role in the plasticity of PV cells. We observed a female-specific effect of adversity on hyperactivity and riskassessment behavior. Moreover, females ? but not males ? exposed to multiple hits of adversity demonstrated a reduction in PFC PV cells in adulthood. We also observed a sex-specific, potentiated reduction in PV + PNN structural integrity. These findings suggest a sex-specific impact of repeated adversity on neurostructural development and implicate PNNs as a contributor to associated behavioral dysfunction.

Automated summary

Research suggests that early adversity has long-term effects on neural and behavioral functions, with repeated adverse experiences more likely to lead to PFC-mediated behavioral deficits in women. Studies on rats have found that females exposed to adversity are more likely to exhibit hyperactivity and risk-assessment behavior, along with a decrease in the number of PV cells in the PFC and reduced structural integrity of PNNs.