Presented at the 2015 International Meeting for Autism Research in Salt Lake City, Utah in May 2015.
The diagnosis of autism spectrum disorder (ASD) at the earliest age possible is important for initiating optimally effective intervention. Patients can be reliably diagnosed through behavioral testing at about 2 years of age. However, in the United States, the average age of diagnosis is around 4 years. Identifying metabolic biomarker signatures of ASD from blood samples offers an opportunity for developing earlier diagnostic tests. We demonstrated that many features with differential abundance in ASD v. TD patients (2-4 years old) can be used to derived classification models that can discriminate ASD from TD individuals with 79% accuracy.