Childhood victimization and inflammation in young adulthood: A genetically sensitive cohort study

Objective: Childhood victimization is an important risk factor for later immune-related disorders. Previous evidence has demonstrated that childhood victimization is associated with elevated levels of inflammation biomarkers measured decades after exposure. However, it is unclear whether this association is (1) already detectable in young people, (2) different in males and females, and (3) confounded by genetic liability to inflammation. Here we sought to address these questions. Method: Participants were 2232 children followed from birth to age 18 years as part of the Environmental Risk (E-Risk) Longitudinal Twin Study. Childhood victimization was measured prospectively from birth to age 12 years. Inflammation was measured through C-reactive protein (CRP) levels in dried blood spots at age 18 years. Latent genetic liability for high inflammation levels was assessed through a twin-based method. Results: Greater exposure to childhood victimization was associated with higher CRP levels at age 18 (serum-equivalent means were 0.65 in non-victimized Study members, 0.74 in those exposed to one victimization type, and 0.81 in those exposed to poly-victimization; p = 0.018). However, this association was driven by a significant association in females (serum-equivalent means were 0.75 in non victimized females, 0.87 in those exposed to one type of victimization, and 1.19 in those exposed to poly-victimization; p = 0.010), while no significant association was observed in males (p = 0.19). Victimized females showed elevated CRP levels independent of latent genetic influence, as well as childhood socioeconomic status, and waist-hip ratio and body temperature at the time of CRP assessment. Conclusion: Childhood victimization is associated with elevated CRP levels in young women, independent of latent genetic influences and other key risk factors. These results strengthen causal inference about the effects of childhood victimization on inflammation levels in females by accounting for potential genetic confounding. (C) 2017 The Authors. Published by Elsevier Inc.