Unique metabolic signatures called metabotypes are identified in more than 50 percent of the kids with an autism spectrum disorder, finds a new study.
![Unique Metabolic Markers Detect Over 50% of Kids Affected by Autism
Unique Metabolic Markers Detect Over 50% of Kids Affected by Autism](https://images.medindia.net/health-images/1200_1000/autism1.jpg)
‘Using metabolomics to detect objective biomarkers of autism spectrum disorder is a promising approach.
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Analysis of blood samples from CAMP, the largest study was 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.Read More..
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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, Ph.D., 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."
Robert Burrier, Ph.D., Chief Operating Officer of Stemina and co-author points out that "Using metabolomics to detect objective biomarkers of ASD is a promising approach because metabolism is sensitive to interactions among the genome, gastrointestinal microbiome, diet, and environmental factors that all contribute to the risk of ASD."
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"We strive to discover, validate and publish peer-reviewed science from this ground-breaking study with the goal of building trust in the rigor of our science and its potential to change how autism is diagnosed and treated."
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"Moreover, determining that an individual child has a particular pattern of metabolic alterations may offer the possibility of new targeted and personalized therapies. These opportunities and questions require further testing in the CAMP study. Fortunately, CAMP retains a repository of blood samples from our young participants that can be used for follow-up studies. The current paper represents an important stride in the research journey toward understanding the role of metabotypes and their potential as actionable clinical tools in the detection and treatment of ASD."
"These new findings from the CAMP study represent another step in our efforts to develop a metabolomics-based screening tool for ASD," Donley added. "While biomarkers of any kind cannot provide a definitive diagnosis of ASD, combining a metabolomics-based screen with behavioral testing increases the likelihood that those at risk for ASD can be detected as early as possible."
While the published findings are based on blood samples collected from 18 to 48-months-old, future research will be directed at validating this metabolomics approach in children younger than one-year-old when current diagnostic procedures are lacking. The researchers are also exploring whether these metabolic differences can lead to insights that enable more targeted treatment options for children with ASD.
Source-Eurekalert