Presented at the 2014 International Meeting for Autism Research in Atlanta, Georgia in May 2014.
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. Using a non-targeted mass spectrometry-based metabolomic analysis of blood plasma, we demonstrated that some features with differential abundance in ASD vs. TD patients (4-6 years old) can be used to derive classification models with 81% accuracy.