New research indicates that components of the gut microbiome can accurately distinguish children with autism spectrum disorder (ASD) from neurotypical children. By analyzing fecal samples from over 1,600 children, researchers identified specific microorganisms and metabolic pathways altered in ASD. A machine-learning model using these markers achieved a high predictive value for ASD. This study broadens our understanding by including nonbacterial microorganisms, potentially paving the way for noninvasive diagnostic tests and novel therapies.
Could this be the key to revolutionizing ASD diagnosis and treatment?
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