Illustration of folate-dependent one-carbon metabolism and transsulfuration pathways. Genetic and environmental effects that increase ASD predisposition are shown in red whereas those that decrease ASD liability are shown in blue. http://dx.doi.org/10.1371/journal.pcbi.1005385.g001
Scientists have developed a new, highly accurate method that analyzes metabolic biomarkers to assess whether a child is on the autism spectrum Autism spectrum disorder affects about 1.5% 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 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, all between 3 and 10 years old. With the help of advanced modeling and statistical analysis tools, the metabolic data allowed the researchers to correctly classify 97.6% of the children with autism and 96.1% of the neurotypical children. Hahn says that further research is needed to confirm the findings. The team is also hoping to study whether treatments could be used to alter the concentrations of FOCM and TS products and, if so, whether this could impact symptoms of autism spectrum disorder. https://www.eurekalert.org/pub_releases/2017-03/p-nam030917.php http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005385
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