New blood test may detect over 50% of children of autism spectrum disorder
New findings from the Children's Autism Metabolome Project (CAMP) Study, a 1,102 subject study of the metabolism of children with ASD, published in Autism Research;
Madison, WI (June 18, 2020): In a paper published online this week in Autism Research, scientists at NeuroPointDX, a division of Stemina Biomarker Discovery, Inc., in collaboration with researchers at the UC Davis MIND Institute and academic and clinical institutions across the country, report new findings from the Children's Autism Metabolome Project or CAMP.
Analysis of blood samples from CAMP, the largest study yet undertaken of the metabolism of children with autism spectrum disorder (ASD), has now reproducibly identified unique metabolic signatures (called metabotypes) in over 50% of the children with autism in the study. This is an important step towards the goal of developing a panel of metabolomics tests that could form the basis for a biological screen of risk for ASD. Analysis of other potential blood-based biomarkers using CAMP study samples is ongoing. Validation of additional metabotypes of ASD is expected to result in the ability to detect a still higher percentage of children at risk of ASD using this approach.
The new publication, entitled "A metabolomics approach to screening for autism risk in the Children's Autism Metabolome Project" (Autism Research, 2020: doi: 10.1002/aur.2330) was authored by researchers from the UC Davis Mind Institute, Stemina Biomarker Discovery, Inc., University of Wisconsin-Madison, and the Cleveland Clinic.
"A primary goal of the CAMP study, which recruited 1,102 children ages 18 months to 48 months, was to generate a panel of validated biomarkers that, taken together, could detect a large proportion of young children at risk for ASD," said David Amaral, PhD, distinguished professor at the UC Davis MIND Institute and the Department of Psychiatry and Behavioral Sciences at UC Davis and senior author of the paper. "Our original analyses, published in Biological Psychiatry in 2019, identified and validated a set of metabotypes based on differences in branch chain amino acid metabolism; these metabotypes represented 17% of the children with autism in CAMP. This new research builds on that effort, resulting in an optimized set of 34 newly defined metabotypes based on amino acid and energy metabolism. Taken together, the test battery now detects 53% of subjects with ASD in the CAMP study with 91% specificity."
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