Why not try to predict autism spectrum disorder with crucial biomarkers in cuproptosis signaling pathway?

ABSTRACT: The exact pathogenesis of autism spectrum disorder (ASD) is still unclear, yet some potential mechanisms may not have been evaluated before. Cuproptosis is a novel form of regulated cell death reported this year, and no study has reported the relationship between ASD and cuproptosis. This study aimed to identify ASD in suspected patients early using machine learning models based on biomarkers of the cuproptosis pathway. We collected gene expression profiles from brain samples from ASD model mice and blood samples from humans with ASD, selected crucial genes in the cuproptosis signaling pathway, and then analysed these genes with different machine learning models. The accuracy, sensitivity, specificity, and areas under the receiver operating characteristic curves of the machine learning mod

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC9667021 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature