Large-scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children

This study investigates how prenatal inflammation might affect childhood psychopathology by analyzing over 1,000 proteins in first-trimester blood samples using XGBoost machine learning model. Results show these proteins predict 5-10% of variance in early childhood behaviors like sadness and attention issues, highlighting immune and nervous system development as key factors. The findings suggest that a broader range of proteins than previously considered could influence future mental health outcomes in children.