Potential therapeutic significance of resveratrol for autism spectrum disorders based on clinical bioinformatics
LYU Yanhua
ZHONG Xiaoyun
WANG Kanglong
ZHAO Hongxia
YU Qi
Abstract：Objective:To explore the potential therapeutic effect of resveratrol on autism spectrum disorders(ASD)based on clinical bioinformatics.Methods:Obtain whole genome expression profiles of resveratrol and ASD from GEO database;Perform differentially expressed gene analysis,Gene Ontology enrichment analysis,Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis,and protein-protein interaction network analysis on the whole genome expression profile data of resveratrol and ASD,and screen for core genes;Using domain knowledge scoring method to validate the effectiveness of core genes with important regulatory effects on resveratrol in Chinese and English databases.Results:294 and 256 differentially expressed genes(DEGs)were identified in the resveratrol group and ASD group,respectively;The genes enriched in the resveratrol group GO are mainly related to nervous system development,neurogenesis,synaptic tissue,etc.The KEGG pathway enrichment is mainly related to animal mitochondrial autophagy,cholesterol metabolism,thyroid hormone synthesis,etc;The enrichment of KEGG pathway in ASD group is mainly related to mitogen activated protein kinase signaling pathway,thyroid hormone synthesis,oxytocin signaling pathway,etc;A total of 11 core genes were identified in the PPI network of resveratrol group DEGs,mainly related to cell cycle,synaptogenesis and synaptic plasticity,inflammation,and immune response,etc.Conclusions:Resveratrol has functions such as inhibiting inflammatory response,promoting immune regulation,improving oxidative stress,regulating synaptogenesis and synaptogenesis processes,and regulating neurotransmitter release.It has potential therapeutic significance for ASD.
Keywords：resveratrolautism spectrum disordersdifferentially expressed gene analysisenrichment analysisprotein-protein interaction networkdomain knowledge scoreclinical bioinformatics
Publication Date：2024-11-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 3768-3778 )