Autism: New analysis method of metabolites accurately predicts whether a child has autism
Autism spectrum disorder affects about 1.5 percent of all children, but its exact cause remains unknown, and diagnosis requires a multidisciplinary team of doctors. Previous research has revealed certain differences in metabolic processes between children on the autism spectrum and neurotypical children. However, researchers have struggled to translate these differences into new diagnostic tools. In the new study, Juergen Hahn and Daniel Howsmon of Rensselaer Polytechnic Institute, New York, and colleagues present a method to identify a child as being on the autism spectrum based on concentrations of specific substances found in a blood sample. These substances are produced by metabolic processes known as the folate-dependent one-carbon (FOCM) metabolism and transulfuration (TS) pathways, both of which are altered in children with autism. The scientists used blood sample data, collected at Arkansas Children's Hospital, from 83 children with autism and 76 neurotypical children...