Protein Biomarkers of Autism Spectrum Disorder Identified by Computational and Experimental Methods.

ABSTRACT: Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects millions of people worldwide. However, there are currently no reliable biomarkers for ASD diagnosis. Materials and Methods: The strategy of computational prediction combined with experimental verification was used to identify blood protein biomarkers for ASD. First, brain tissue-based transcriptome data of ASD were collected from Gene Expression Omnibus database and analyzed to find ASD-related genes by bioinformatics method of significance analysis of microarrays. Then, a prediction program of blood-secretory proteins was applied on these genes to predict ASD-related proteins in blood. Furthermore, ELISA was used to verify these proteins in plasma samples of ASD patients. Resu

SUBMITTER: Yao F 

PROVIDER: S-EPMC7947305 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature