Machine-learning study identifies biomarkers for maternal autoantibody-related autism

Written by Alice Bough (Future Science Group)

A recent study has identified biomarkers in maternal plasma reactivity that could be used to indicate the risk of having a child with maternal autoantibody-related autism spectrum disorder (MAR ASD). The study, led by researchers at University of California, Davis (CA, USA) and Stanford University (CA, USA), has been published in Molecular Psychiatry. The research group collected plasma samples from 792 mothers enrolled in the CHARGE study. Of the women involved, 450 had children with ASD and 342 had typically developing children. The group assessed the reactivity of the plasma samples to eight different proteins that are generally abundant in...

To view this content, please register now for access

It's completely free