Global proteomics of ASD and healthy control urine were compared to identify significantly changed proteins. These proteins were validated with targeted proteomics using parallel reaction monitoring (PRM). Machine learning algorithms were then used to select candidate protein biomarkers and evaluate their diagnostic performance.