New blood and urine test can detect autism in children, claim scientists
Scientists have developed a blood and urine test that can detect autism in children.
Researchers at the University of Warwick said the test, believed to be the first of its kind, could lead to earlier diagnosis of autism spectrum disorders (ASD) in children who could then be given appropriate treatment much earlier in their lives.
ASDs mainly affect a person's social interaction and communication, with symptoms that can include speech disturbances, repetitive and/or compulsive behaviour, hyperactivity, anxiety, and difficulty adapting to new environments.
As there is a wide range of ASD symptoms, diagnosis can be difficult and uncertain, particularly at the early stages of development.
It is estimated that around one in every 100 people in the UK has ASD, with more boys diagnosed than girls.
Scientists said their research found a link between ASD and damage to proteins in blood plasma.
They found the most reliable of the tests they developed was examining protein in blood plasma, which found children with ASD had higher levels of the oxidation marker dityrosine (DT) and certain sugar-modified compounds called advanced glycation end products (AGEs).
Genetic causes are thought to be responsible for around a third of cases of ASD, while the rest are believed to be caused by a combination of environmental factors, mutations, and rare genetic variants.
But researchers believe their new tests could reveal yet to be identified causes of ASD.
They also confirmed the previously held belief that mutations of amino acid transporters are a genetic variant associated with ASD.
The Warwick team worked with collaborators at the University of Bologna in Italy, who recruited 38 children who were diagnosed with ASD along with a control group of 31 other children aged between five and 12. Blood and urine samples were taken for analysis.
The Warwick team discovered there were chemical differences between the two groups. Working with a further collaborator at the University of Birmingham, the changes in multiple compounds were combined together using artificial intelligence algorithm techniques to develop a mathematical equation to distinguish between ASD and healthy controls. The outcome was a diagnostic test better than any method currently available.
They said the next steps are to repeat the study with further groups of children to confirm the good diagnostic performance and to assess if the test can identify ASD at very early stages, indicate how the ASD is likely to develop further to more severe disease and assess if treatments are working.
The research has been published in the journal Molecular Autism.